2025-11-03T16:20:49.6944632Z Current runner version: '2.329.0'
2025-11-03T16:20:49.6950610Z Runner name: 'i-086a042e332940233'
2025-11-03T16:20:49.6951532Z Runner group name: 'Default'
2025-11-03T16:20:49.6952436Z Machine name: 'ip-10-1-41-7'
2025-11-03T16:20:49.6955104Z ##[group]GITHUB_TOKEN Permissions
2025-11-03T16:20:49.6957194Z Contents: read
2025-11-03T16:20:49.6957705Z Metadata: read
2025-11-03T16:20:49.6958184Z ##[endgroup]
2025-11-03T16:20:49.6960174Z Secret source: Actions
2025-11-03T16:20:49.6961041Z Prepare workflow directory
2025-11-03T16:20:49.7427498Z Prepare all required actions
2025-11-03T16:20:49.7461308Z Getting action download info
2025-11-03T16:20:50.1825905Z Download action repository 'pytorch/test-infra@main' (SHA:dd72a20e27a9820d8aba7291a7d9c1e023f652e1)
2025-11-03T16:20:52.6132879Z Download action repository 'pytorch/pytorch@main' (SHA:94f2657c4b534136aa8958bc35d44ceac5ccd60c)
2025-11-03T16:21:09.9397778Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-11-03T16:21:10.3184045Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-11-03T16:21:10.5581613Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-11-03T16:21:10.7261501Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-11-03T16:21:10.9751384Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-11-03T16:21:11.3640688Z Getting action download info
2025-11-03T16:21:11.5045922Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-11-03T16:21:11.7903596Z Getting action download info
2025-11-03T16:21:11.9082879Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-11-03T16:21:12.0956806Z Getting action download info
2025-11-03T16:21:12.2493733Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-11-03T16:21:12.4408690Z Getting action download info
2025-11-03T16:21:12.6229807Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (3f6538febd727b782e6e13cfd026a309fb14351d)
2025-11-03T16:21:12.6233323Z ##[group] Inputs
2025-11-03T16:21:12.6233634Z   build-environment: linux-jammy-cuda12.8-py3.10-gcc11
2025-11-03T16:21:12.6236078Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}
2025-11-03T16:21:12.6238868Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:21:12.6239469Z   sync-tag: 
2025-11-03T16:21:12.6240128Z   timeout-minutes: 360
2025-11-03T16:21:12.6240351Z   use-gha: 
2025-11-03T16:21:12.6240796Z   dashboard-tag: 
2025-11-03T16:21:12.6241130Z   s3-bucket: gha-artifacts
2025-11-03T16:21:12.6241341Z   aws-role-to-assume: 
2025-11-03T16:21:12.6241884Z   disable-monitor: false
2025-11-03T16:21:12.6242131Z   monitor-log-interval: 5
2025-11-03T16:21:12.6242356Z   monitor-data-collect-interval: 1
2025-11-03T16:21:12.6242606Z ##[endgroup]
2025-11-03T16:21:12.6243027Z Complete job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T16:21:12.6849677Z A job started hook has been configured by the self-hosted runner administrator
2025-11-03T16:21:12.6946854Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-11-03T16:21:12.6956675Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:12.6957224Z ##[endgroup]
2025-11-03T16:21:14.2093161Z Runner Type: lf.linux.g6.4xlarge.experimental.nvidia.gpu
2025-11-03T16:21:14.2093696Z Instance Type: g6.4xlarge
2025-11-03T16:21:14.2093915Z AMI Name: unknown
2025-11-03T16:21:14.2126474Z AMI ID: ami-08982f1c5bf93d976
2025-11-03T16:21:18.8996989Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-11-03T16:21:18.8997343Z with:
2025-11-03T16:21:18.8997826Z   github-secret: ***
2025-11-03T16:21:18.8998356Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-11-03T16:21:18.8998916Z   activate-with-label: false
2025-11-03T16:21:18.8999112Z   label: with-ssh
2025-11-03T16:21:18.8999291Z   remove-existing-keys: true
2025-11-03T16:21:18.8999500Z   fail-silently: true
2025-11-03T16:21:18.8999679Z env:
2025-11-03T16:21:18.8999836Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:18.9000038Z ##[endgroup]
2025-11-03T16:21:19.0093673Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-11-03T16:21:19.0095102Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-11-03T16:21:19.0243633Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-11-03T16:21:19.0244140Z with:
2025-11-03T16:21:19.0244326Z   no-sudo: true
2025-11-03T16:21:19.0244507Z   submodules: recursive
2025-11-03T16:21:19.0244709Z   fetch-depth: 0
2025-11-03T16:21:19.0244878Z env:
2025-11-03T16:21:19.0245039Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:19.0245233Z ##[endgroup]
2025-11-03T16:21:19.0327468Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:21:19.0328200Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:21:19.0338527Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:19.0338817Z env:
2025-11-03T16:21:19.0339019Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:19.0339281Z ##[endgroup]
2025-11-03T16:21:19.0430644Z ##[group]Run # Use all available CPUs for fetching
2025-11-03T16:21:19.0430974Z # Use all available CPUs for fetching
2025-11-03T16:21:19.0431232Z cd "${GITHUB_WORKSPACE}"
2025-11-03T16:21:19.0431480Z git config --global fetch.parallel 0
2025-11-03T16:21:19.0431769Z git config --global submodule.fetchJobs 0
2025-11-03T16:21:19.0432030Z 
2025-11-03T16:21:19.0432298Z # Clean workspace. The default checkout action should also do this, but
2025-11-03T16:21:19.0432641Z # do it here as well just in case
2025-11-03T16:21:19.0432882Z if [[ -d .git ]]; then
2025-11-03T16:21:19.0433101Z   if [ -z "${NO_SUDO}" ]; then
2025-11-03T16:21:19.0433332Z     sudo git clean -ffdx
2025-11-03T16:21:19.0433538Z   else
2025-11-03T16:21:19.0433716Z     git clean -ffdx
2025-11-03T16:21:19.0433909Z   fi
2025-11-03T16:21:19.0434070Z fi
2025-11-03T16:21:19.0440970Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:19.0441262Z env:
2025-11-03T16:21:19.0441688Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:19.0441909Z   NO_SUDO: true
2025-11-03T16:21:19.0442083Z ##[endgroup]
2025-11-03T16:21:19.0593071Z ##[group]Run actions/checkout@v4
2025-11-03T16:21:19.0593290Z with:
2025-11-03T16:21:19.0593478Z   ref: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:21:19.0593728Z   fetch-depth: 0
2025-11-03T16:21:19.0593906Z   submodules: recursive
2025-11-03T16:21:19.0594096Z   show-progress: false
2025-11-03T16:21:19.0594289Z   repository: pytorch/pytorch
2025-11-03T16:21:19.0594632Z   token: ***
2025-11-03T16:21:19.0594806Z   ssh-strict: true
2025-11-03T16:21:19.0594974Z   ssh-user: git
2025-11-03T16:21:19.0595154Z   persist-credentials: true
2025-11-03T16:21:19.0595354Z   clean: true
2025-11-03T16:21:19.0595531Z   sparse-checkout-cone-mode: true
2025-11-03T16:21:19.0595768Z   fetch-tags: false
2025-11-03T16:21:19.0595940Z   lfs: false
2025-11-03T16:21:19.0596107Z   set-safe-directory: true
2025-11-03T16:21:19.0596301Z env:
2025-11-03T16:21:19.0596466Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:19.0596654Z ##[endgroup]
2025-11-03T16:21:19.1632163Z Syncing repository: pytorch/pytorch
2025-11-03T16:21:19.1633302Z ##[group]Getting Git version info
2025-11-03T16:21:19.1633714Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-11-03T16:21:19.1634234Z [command]/usr/bin/git version
2025-11-03T16:21:19.1634446Z git version 2.50.1
2025-11-03T16:21:19.1648762Z ##[endgroup]
2025-11-03T16:21:19.1657688Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/fc474077-db7e-43b3-a251-f7e1455cf6e4/.gitconfig'
2025-11-03T16:21:19.1679321Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/fc474077-db7e-43b3-a251-f7e1455cf6e4' before making global git config changes
2025-11-03T16:21:19.1681075Z Adding repository directory to the temporary git global config as a safe directory
2025-11-03T16:21:19.1687032Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:21:19.1723258Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-11-03T16:21:19.1726320Z ##[group]Initializing the repository
2025-11-03T16:21:19.1729811Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:21:19.1769692Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-11-03T16:21:19.1770289Z hint: is subject to change. To configure the initial branch name to use in all
2025-11-03T16:21:19.1770832Z hint: of your new repositories, which will suppress this warning, call:
2025-11-03T16:21:19.1771212Z hint:
2025-11-03T16:21:19.1771494Z hint: 	git config --global init.defaultBranch <name>
2025-11-03T16:21:19.1771812Z hint:
2025-11-03T16:21:19.1772131Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-11-03T16:21:19.1772659Z hint: 'development'. The just-created branch can be renamed via this command:
2025-11-03T16:21:19.1773046Z hint:
2025-11-03T16:21:19.1773260Z hint: 	git branch -m <name>
2025-11-03T16:21:19.1773491Z hint:
2025-11-03T16:21:19.1773838Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-11-03T16:21:19.1774328Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-11-03T16:21:19.1780152Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-11-03T16:21:19.1809057Z ##[endgroup]
2025-11-03T16:21:19.1809464Z ##[group]Disabling automatic garbage collection
2025-11-03T16:21:19.1813312Z [command]/usr/bin/git config --local gc.auto 0
2025-11-03T16:21:19.1841297Z ##[endgroup]
2025-11-03T16:21:19.1841674Z ##[group]Setting up auth
2025-11-03T16:21:19.1847790Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-11-03T16:21:19.1875597Z [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' || :"
2025-11-03T16:21:19.2222295Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-11-03T16:21:19.2250284Z [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' || :"
2025-11-03T16:21:19.2571296Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-11-03T16:21:19.2618135Z ##[endgroup]
2025-11-03T16:21:19.2618566Z ##[group]Fetching the repository
2025-11-03T16:21:19.2626262Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-11-03T16:21:58.5197092Z From https://github.com/pytorch/pytorch
2025-11-03T16:21:58.5197872Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-11-03T16:21:58.5199156Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-11-03T16:21:58.5199865Z  * [new branch]              DyVariaSourceRepr           -> origin/DyVariaSourceRepr
2025-11-03T16:21:58.5200357Z  * [new branch]              DynamoFixGit                -> origin/DynamoFixGit
2025-11-03T16:21:58.5201062Z  * [new branch]              DynamoVariaT                -> origin/DynamoVariaT
2025-11-03T16:21:58.5203322Z  * [new branch]              Flamefire-misplaced-TestFailure -> origin/Flamefire-misplaced-TestFailure
2025-11-03T16:21:58.5205682Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-11-03T16:21:58.5208326Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-11-03T16:21:58.5209918Z  * [new branch]              IvanKobzarev/stack/2        -> origin/IvanKobzarev/stack/2
2025-11-03T16:21:58.5211950Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-11-03T16:21:58.5213328Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-11-03T16:21:58.5215075Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-11-03T16:21:58.5216673Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-11-03T16:21:58.5218136Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-11-03T16:21:58.5219814Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-11-03T16:21:58.5221622Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-11-03T16:21:58.5223704Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-11-03T16:21:58.5225265Z  * [new branch]              VariaT                      -> origin/VariaT
2025-11-03T16:21:58.5227089Z  * [new branch]              add-pyrefly-to-lintrunner   -> origin/add-pyrefly-to-lintrunner
2025-11-03T16:21:58.5228626Z  * [new branch]              add_conv3d_ops              -> origin/add_conv3d_ops
2025-11-03T16:21:58.5230232Z  * [new branch]              add_op_to_dashboard         -> origin/add_op_to_dashboard
2025-11-03T16:21:58.5231903Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-11-03T16:21:58.5233546Z  * [new branch]              addmm10000rtx               -> origin/addmm10000rtx
2025-11-03T16:21:58.5235786Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-11-03T16:21:58.5237379Z  * [new branch]              adi/test                    -> origin/adi/test
2025-11-03T16:21:58.5238992Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-11-03T16:21:58.5240540Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-11-03T16:21:58.5242110Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-11-03T16:21:58.5244362Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-11-03T16:21:58.5245314Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-11-03T16:21:58.5247170Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-11-03T16:21:58.5248922Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-11-03T16:21:58.5251721Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-11-03T16:21:58.5253354Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-11-03T16:21:58.5255038Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-11-03T16:21:58.5257313Z  * [new branch]              angelayi/allow_fake         -> origin/angelayi/allow_fake
2025-11-03T16:21:58.5259008Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-11-03T16:21:58.5260705Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-11-03T16:21:58.5262223Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-11-03T16:21:58.5263657Z  * [new branch]              angelayi/const_folder       -> origin/angelayi/const_folder
2025-11-03T16:21:58.5265390Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-11-03T16:21:58.5266995Z  * [new branch]              angelayi/joint_kwargs       -> origin/angelayi/joint_kwargs
2025-11-03T16:21:58.5269182Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-11-03T16:21:58.5271481Z  * [new branch]              angelayi/opaque_obj_v2      -> origin/angelayi/opaque_obj_v2
2025-11-03T16:21:58.5273113Z  * [new branch]              angelayi/post_grad          -> origin/angelayi/post_grad
2025-11-03T16:21:58.5274484Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-11-03T16:21:58.5276451Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-11-03T16:21:58.5277750Z  * [new branch]              angelayi/state_dict         -> origin/angelayi/state_dict
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2025-11-03T16:21:59.3645710Z  * [new branch]              msaroufim-patch-2           -> origin/msaroufim-patch-2
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2025-11-03T16:21:59.3701103Z  * [new branch]              orig/release/1.10           -> origin/orig/release/1.10
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2025-11-03T16:21:59.3747187Z  * [new branch]              pianpwk-patch-1             -> origin/pianpwk-patch-1
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2025-11-03T16:21:59.3750505Z  * [new branch]              pianpwk-patch-3             -> origin/pianpwk-patch-3
2025-11-03T16:21:59.3753054Z  * [new branch]              pianpwk/__draft_debug_mode  -> origin/pianpwk/__draft_debug_mode
2025-11-03T16:21:59.3754607Z  * [new branch]              pianpwk/_debug_mode_for_triton_draft -> origin/pianpwk/_debug_mode_for_triton_draft
2025-11-03T16:21:59.3756084Z  * [new branch]              pianpwk/_profile_w_dispatch_keys -> origin/pianpwk/_profile_w_dispatch_keys
2025-11-03T16:21:59.3757598Z  * [new branch]              pianpwk/_super_draft_debug_mode -> origin/pianpwk/_super_draft_debug_mode
2025-11-03T16:21:59.3759045Z  * [new branch]              pianpwk/anomaly_tb          -> origin/pianpwk/anomaly_tb
2025-11-03T16:21:59.3760828Z  * [new branch]              pianpwk/auto_fx_annotate    -> origin/pianpwk/auto_fx_annotate
2025-11-03T16:21:59.3763356Z  * [new branch]              pianpwk/backed_size_oblivious_export -> origin/pianpwk/backed_size_oblivious_export
2025-11-03T16:21:59.3765218Z  * [new branch]              pianpwk/base_view_shape_key -> origin/pianpwk/base_view_shape_key
2025-11-03T16:21:59.3766928Z  * [new branch]              pianpwk/bert_dynamic_perf   -> origin/pianpwk/bert_dynamic_perf
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2025-11-03T16:21:59.3775341Z  * [new branch]              pianpwk/debug_mode_opcall_refactor -> origin/pianpwk/debug_mode_opcall_refactor
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2025-11-03T16:21:59.3860134Z  * [new branch]              qchip/export-D54134695      -> origin/qchip/export-D54134695
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2025-11-03T16:21:59.4191183Z  * [new branch]              yiming/add_timm_models      -> origin/yiming/add_timm_models
2025-11-03T16:21:59.4192657Z  * [new branch]              yiming/bootcamp             -> origin/yiming/bootcamp
2025-11-03T16:21:59.4194251Z  * [new branch]              yiming/fix_aot_joint_graph_capture_test -> origin/yiming/fix_aot_joint_graph_capture_test
2025-11-03T16:21:59.4195943Z  * [new branch]              yiming/flex_attention_export_with_kwargs -> origin/yiming/flex_attention_export_with_kwargs
2025-11-03T16:21:59.4197718Z  * [new branch]              yiming/improve_custom_op_stack_trace -> origin/yiming/improve_custom_op_stack_trace
2025-11-03T16:21:59.4199570Z  * [new branch]              yiming/improve_sharding_error_msg -> origin/yiming/improve_sharding_error_msg
2025-11-03T16:21:59.4201333Z  * [new branch]              yiming/moe_dtensor_region_annotation -> origin/yiming/moe_dtensor_region_annotation
2025-11-03T16:21:59.4202896Z  * [new branch]              yiming/precompile_benchmark -> origin/yiming/precompile_benchmark
2025-11-03T16:21:59.4204799Z  * [new branch]              yiming/remove_blockmask_pytree_global_registration -> origin/yiming/remove_blockmask_pytree_global_registration
2025-11-03T16:21:59.4206267Z  * [new branch]              yolo-llama3                 -> origin/yolo-llama3
2025-11-03T16:21:59.4208506Z  * [new branch]              yuxin/fix-save-memleak      -> origin/yuxin/fix-save-memleak
2025-11-03T16:21:59.4210881Z  * [new branch]              zainr/canary-test           -> origin/zainr/canary-test
2025-11-03T16:21:59.4212591Z  * [new branch]              zainr/cleanup-gh-runners    -> origin/zainr/cleanup-gh-runners
2025-11-03T16:21:59.4213870Z  * [new branch]              zainr/pull-migration-c      -> origin/zainr/pull-migration-c
2025-11-03T16:21:59.4215476Z  * [new branch]              zainr/test2                 -> origin/zainr/test2
2025-11-03T16:21:59.4216843Z  * [new branch]              zainr/unstable              -> origin/zainr/unstable
2025-11-03T16:21:59.4218711Z  * [new branch]              zasdfgbnm-patch-3           -> origin/zasdfgbnm-patch-3
2025-11-03T16:21:59.4220319Z  * [new branch]              zb2p                        -> origin/zb2p
2025-11-03T16:21:59.4222085Z  * [new branch]              zeros-and-scatter-part2     -> origin/zeros-and-scatter-part2
2025-11-03T16:21:59.4224403Z  * [new branch]              zhxchen17/aot_compile_fix_load_guard_manager -> origin/zhxchen17/aot_compile_fix_load_guard_manager
2025-11-03T16:21:59.4226343Z  * [new branch]              zhxchen17/ci/vllm_pin       -> origin/zhxchen17/ci/vllm_pin
2025-11-03T16:21:59.4228615Z  * [new branch]              zhxchen17/precompile/closure_serde -> origin/zhxchen17/precompile/closure_serde
2025-11-03T16:21:59.4230172Z  * [new branch]              zhxchen17/precompile/default_args -> origin/zhxchen17/precompile/default_args
2025-11-03T16:21:59.4231838Z  * [new branch]              zhxchen17/precompile/export -> origin/zhxchen17/precompile/export
2025-11-03T16:21:59.4233356Z  * [new branch]              zhxchen17/precompile/export_gm -> origin/zhxchen17/precompile/export_gm
2025-11-03T16:21:59.4234975Z  * [new branch]              zhxchen17/precompile_vllm_fix_0 -> origin/zhxchen17/precompile_vllm_fix_0
2025-11-03T16:21:59.4236945Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-11-03T16:21:59.4239101Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-11-03T16:21:59.4241141Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-11-03T16:21:59.4242759Z  * [new branch]              zxiiro/c7i-docs-build       -> origin/zxiiro/c7i-docs-build
2025-11-03T16:21:59.4244440Z  * [new branch]              zxiiro/c7i-linux-4xlarge    -> origin/zxiiro/c7i-linux-4xlarge
2025-11-03T16:21:59.4246106Z  * [new branch]              zxiiro/c7i-linux-build-yaml -> origin/zxiiro/c7i-linux-build-yaml
2025-11-03T16:21:59.4247433Z  * [new branch]              zxiiro/c7i-pull             -> origin/zxiiro/c7i-pull
2025-11-03T16:21:59.4248996Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-11-03T16:21:59.4250614Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-11-03T16:21:59.4251922Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-11-03T16:21:59.4253398Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-11-03T16:21:59.4254923Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-11-03T16:21:59.4255864Z  * [new tag]                 ciflow/b200/157553          -> ciflow/b200/157553
2025-11-03T16:21:59.4256903Z  * [new tag]                 ciflow/b200/157635          -> ciflow/b200/157635
2025-11-03T16:21:59.4258024Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-11-03T16:21:59.4259559Z  * [new tag]                 ciflow/b200/161404          -> ciflow/b200/161404
2025-11-03T16:21:59.4260636Z  * [new tag]                 ciflow/b200/163369          -> ciflow/b200/163369
2025-11-03T16:21:59.4261781Z  * [new tag]                 ciflow/b200/164657          -> ciflow/b200/164657
2025-11-03T16:21:59.4262942Z  * [new tag]                 ciflow/b200/164938          -> ciflow/b200/164938
2025-11-03T16:21:59.4264063Z  * [new tag]                 ciflow/b200/165132          -> ciflow/b200/165132
2025-11-03T16:21:59.4265199Z  * [new tag]                 ciflow/b200/165541          -> ciflow/b200/165541
2025-11-03T16:21:59.4266317Z  * [new tag]                 ciflow/b200/165548          -> ciflow/b200/165548
2025-11-03T16:21:59.4267827Z  * [new tag]                 ciflow/b200/165952          -> ciflow/b200/165952
2025-11-03T16:21:59.4269582Z  * [new tag]                 ciflow/b200/166250          -> ciflow/b200/166250
2025-11-03T16:21:59.4270955Z  * [new tag]                 ciflow/b200/166526          -> ciflow/b200/166526
2025-11-03T16:21:59.4272327Z  * [new tag]                 ciflow/b200/166744          -> ciflow/b200/166744
2025-11-03T16:21:59.4273347Z  * [new tag]                 ciflow/b200/166752          -> ciflow/b200/166752
2025-11-03T16:21:59.4274774Z  * [new tag]                 ciflow/b200/166834          -> ciflow/b200/166834
2025-11-03T16:21:59.4276077Z  * [new tag]                 ciflow/binaries/157432      -> ciflow/binaries/157432
2025-11-03T16:21:59.4277070Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-11-03T16:21:59.4278403Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-11-03T16:21:59.4279404Z  * [new tag]                 ciflow/binaries/166044      -> ciflow/binaries/166044
2025-11-03T16:21:59.4280629Z  * [new tag]                 ciflow/binaries/166621      -> ciflow/binaries/166621
2025-11-03T16:21:59.4281696Z  * [new tag]                 ciflow/binaries/166764      -> ciflow/binaries/166764
2025-11-03T16:21:59.4282852Z  * [new tag]                 ciflow/binaries/166818      -> ciflow/binaries/166818
2025-11-03T16:21:59.4284536Z  * [new tag]                 ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432
2025-11-03T16:21:59.4298901Z  * [new tag]                 ciflow/binaries_wheel/155731 -> ciflow/binaries_wheel/155731
2025-11-03T16:21:59.4299542Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-11-03T16:21:59.4299948Z  * [new tag]                 ciflow/binaries_wheel/166380 -> ciflow/binaries_wheel/166380
2025-11-03T16:21:59.4300320Z  * [new tag]                 ciflow/binaries_wheel/166407 -> ciflow/binaries_wheel/166407
2025-11-03T16:21:59.4300859Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-11-03T16:21:59.4301479Z  * [new tag]                 ciflow/h100-distributed/166367 -> ciflow/h100-distributed/166367
2025-11-03T16:21:59.4302032Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-11-03T16:21:59.4302410Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-11-03T16:21:59.4302880Z  * [new tag]                 ciflow/h100-symm-mem/163814 -> ciflow/h100-symm-mem/163814
2025-11-03T16:21:59.4303286Z  * [new tag]                 ciflow/h100-symm-mem/163815 -> ciflow/h100-symm-mem/163815
2025-11-03T16:21:59.4303632Z  * [new tag]                 ciflow/h100-symm-mem/165548 -> ciflow/h100-symm-mem/165548
2025-11-03T16:21:59.4304098Z  * [new tag]                 ciflow/h100-symm-mem/166772 -> ciflow/h100-symm-mem/166772
2025-11-03T16:21:59.4304465Z  * [new tag]                 ciflow/h100-symm-mem/166773 -> ciflow/h100-symm-mem/166773
2025-11-03T16:21:59.4304885Z  * [new tag]                 ciflow/h100-symm-mem/166774 -> ciflow/h100-symm-mem/166774
2025-11-03T16:21:59.4305366Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-11-03T16:21:59.4305677Z  * [new tag]                 ciflow/h100/157553          -> ciflow/h100/157553
2025-11-03T16:21:59.4306090Z  * [new tag]                 ciflow/h100/157635          -> ciflow/h100/157635
2025-11-03T16:21:59.4306473Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-11-03T16:21:59.4306781Z  * [new tag]                 ciflow/h100/161404          -> ciflow/h100/161404
2025-11-03T16:21:59.4307249Z  * [new tag]                 ciflow/h100/163369          -> ciflow/h100/163369
2025-11-03T16:21:59.4308419Z  * [new tag]                 ciflow/h100/164657          -> ciflow/h100/164657
2025-11-03T16:21:59.4309524Z  * [new tag]                 ciflow/h100/165029          -> ciflow/h100/165029
2025-11-03T16:21:59.4310572Z  * [new tag]                 ciflow/h100/165132          -> ciflow/h100/165132
2025-11-03T16:21:59.4311643Z  * [new tag]                 ciflow/h100/165541          -> ciflow/h100/165541
2025-11-03T16:21:59.4312738Z  * [new tag]                 ciflow/h100/165548          -> ciflow/h100/165548
2025-11-03T16:21:59.4314207Z  * [new tag]                 ciflow/h100/165952          -> ciflow/h100/165952
2025-11-03T16:21:59.4315634Z  * [new tag]                 ciflow/h100/166250          -> ciflow/h100/166250
2025-11-03T16:21:59.4317141Z  * [new tag]                 ciflow/h100/166515          -> ciflow/h100/166515
2025-11-03T16:21:59.4318124Z  * [new tag]                 ciflow/h100/166526          -> ciflow/h100/166526
2025-11-03T16:21:59.4319224Z  * [new tag]                 ciflow/h100/166744          -> ciflow/h100/166744
2025-11-03T16:21:59.4320355Z  * [new tag]                 ciflow/h100/166752          -> ciflow/h100/166752
2025-11-03T16:21:59.4321806Z  * [new tag]                 ciflow/h100/166834          -> ciflow/h100/166834
2025-11-03T16:21:59.4323063Z  * [new tag]                 ciflow/inductor-perf-compare/165029 -> ciflow/inductor-perf-compare/165029
2025-11-03T16:21:59.4325067Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/162053 -> ciflow/inductor-perf-test-nightly-rocm-mi300/162053
2025-11-03T16:21:59.4326219Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/162954 -> ciflow/inductor-perf-test-nightly-x86-zen/162954
2025-11-03T16:21:59.4327303Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164126 -> ciflow/inductor-perf-test-nightly-x86-zen/164126
2025-11-03T16:21:59.4328488Z  * [new tag]                 ciflow/inductor-perf-test-nightly/162053 -> ciflow/inductor-perf-test-nightly/162053
2025-11-03T16:21:59.4329544Z  * [new tag]                 ciflow/inductor-perf-test-nightly/165029 -> ciflow/inductor-perf-test-nightly/165029
2025-11-03T16:21:59.4330789Z  * [new tag]                 ciflow/inductor-periodic/165029 -> ciflow/inductor-periodic/165029
2025-11-03T16:21:59.4332076Z  * [new tag]                 ciflow/inductor-periodic/166743 -> ciflow/inductor-periodic/166743
2025-11-03T16:21:59.4333275Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-11-03T16:21:59.4334282Z  * [new tag]                 ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053
2025-11-03T16:21:59.4335313Z  * [new tag]                 ciflow/inductor-rocm/166515 -> ciflow/inductor-rocm/166515
2025-11-03T16:21:59.4336366Z  * [new tag]                 ciflow/inductor-rocm/166743 -> ciflow/inductor-rocm/166743
2025-11-03T16:21:59.4337794Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-11-03T16:21:59.4338721Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-11-03T16:21:59.4339878Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-11-03T16:21:59.4340944Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-11-03T16:21:59.4342032Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-11-03T16:21:59.4343059Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-11-03T16:21:59.4344163Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-11-03T16:21:59.4345227Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-11-03T16:21:59.4346294Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-11-03T16:21:59.4347366Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-11-03T16:21:59.4348457Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-11-03T16:21:59.4349960Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-11-03T16:21:59.4351457Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-11-03T16:21:59.4352645Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-11-03T16:21:59.4353842Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-11-03T16:21:59.4354925Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-11-03T16:21:59.4356070Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-11-03T16:21:59.4357183Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-11-03T16:21:59.4358274Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-11-03T16:21:59.4359659Z  * [new tag]                 ciflow/inductor/161246      -> ciflow/inductor/161246
2025-11-03T16:21:59.4360626Z  * [new tag]                 ciflow/inductor/161404      -> ciflow/inductor/161404
2025-11-03T16:21:59.4361708Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-11-03T16:21:59.4362836Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-11-03T16:21:59.4364403Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-11-03T16:21:59.4365305Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-11-03T16:21:59.4366396Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-11-03T16:21:59.4367501Z  * [new tag]                 ciflow/inductor/162053      -> ciflow/inductor/162053
2025-11-03T16:21:59.4370575Z  * [new tag]                 ciflow/inductor/162469      -> ciflow/inductor/162469
2025-11-03T16:21:59.4371581Z  * [new tag]                 ciflow/inductor/162709      -> ciflow/inductor/162709
2025-11-03T16:21:59.4372693Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-11-03T16:21:59.4373836Z  * [new tag]                 ciflow/inductor/162954      -> ciflow/inductor/162954
2025-11-03T16:21:59.4375263Z  * [new tag]                 ciflow/inductor/163249      -> ciflow/inductor/163249
2025-11-03T16:21:59.4376987Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-11-03T16:21:59.4377930Z  * [new tag]                 ciflow/inductor/163369      -> ciflow/inductor/163369
2025-11-03T16:21:59.4378981Z  * [new tag]                 ciflow/inductor/163490      -> ciflow/inductor/163490
2025-11-03T16:21:59.4380111Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-11-03T16:21:59.4381239Z  * [new tag]                 ciflow/inductor/163714      -> ciflow/inductor/163714
2025-11-03T16:21:59.4382365Z  * [new tag]                 ciflow/inductor/163936      -> ciflow/inductor/163936
2025-11-03T16:21:59.4383483Z  * [new tag]                 ciflow/inductor/164202      -> ciflow/inductor/164202
2025-11-03T16:21:59.4384648Z  * [new tag]                 ciflow/inductor/164384      -> ciflow/inductor/164384
2025-11-03T16:21:59.4385758Z  * [new tag]                 ciflow/inductor/164657      -> ciflow/inductor/164657
2025-11-03T16:21:59.4386884Z  * [new tag]                 ciflow/inductor/164938      -> ciflow/inductor/164938
2025-11-03T16:21:59.4388034Z  * [new tag]                 ciflow/inductor/164979      -> ciflow/inductor/164979
2025-11-03T16:21:59.4389169Z  * [new tag]                 ciflow/inductor/164980      -> ciflow/inductor/164980
2025-11-03T16:21:59.4390367Z  * [new tag]                 ciflow/inductor/165005      -> ciflow/inductor/165005
2025-11-03T16:21:59.4391525Z  * [new tag]                 ciflow/inductor/165029      -> ciflow/inductor/165029
2025-11-03T16:21:59.4392660Z  * [new tag]                 ciflow/inductor/165092      -> ciflow/inductor/165092
2025-11-03T16:21:59.4393803Z  * [new tag]                 ciflow/inductor/165132      -> ciflow/inductor/165132
2025-11-03T16:21:59.4394910Z  * [new tag]                 ciflow/inductor/165197      -> ciflow/inductor/165197
2025-11-03T16:21:59.4396056Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-11-03T16:21:59.4397197Z  * [new tag]                 ciflow/inductor/165283      -> ciflow/inductor/165283
2025-11-03T16:21:59.4398408Z  * [new tag]                 ciflow/inductor/165284      -> ciflow/inductor/165284
2025-11-03T16:21:59.4399765Z  * [new tag]                 ciflow/inductor/165367      -> ciflow/inductor/165367
2025-11-03T16:21:59.4400924Z  * [new tag]                 ciflow/inductor/165423      -> ciflow/inductor/165423
2025-11-03T16:21:59.4402043Z  * [new tag]                 ciflow/inductor/165487      -> ciflow/inductor/165487
2025-11-03T16:21:59.4403182Z  * [new tag]                 ciflow/inductor/165541      -> ciflow/inductor/165541
2025-11-03T16:21:59.4404433Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-11-03T16:21:59.4405743Z  * [new tag]                 ciflow/inductor/165686      -> ciflow/inductor/165686
2025-11-03T16:21:59.4407036Z  * [new tag]                 ciflow/inductor/165790      -> ciflow/inductor/165790
2025-11-03T16:21:59.4408122Z  * [new tag]                 ciflow/inductor/165824      -> ciflow/inductor/165824
2025-11-03T16:21:59.4409327Z  * [new tag]                 ciflow/inductor/165856      -> ciflow/inductor/165856
2025-11-03T16:21:59.4410453Z  * [new tag]                 ciflow/inductor/165885      -> ciflow/inductor/165885
2025-11-03T16:21:59.4411568Z  * [new tag]                 ciflow/inductor/165952      -> ciflow/inductor/165952
2025-11-03T16:21:59.4412716Z  * [new tag]                 ciflow/inductor/165953      -> ciflow/inductor/165953
2025-11-03T16:21:59.4413837Z  * [new tag]                 ciflow/inductor/166071      -> ciflow/inductor/166071
2025-11-03T16:21:59.4415210Z  * [new tag]                 ciflow/inductor/166083      -> ciflow/inductor/166083
2025-11-03T16:21:59.4416325Z  * [new tag]                 ciflow/inductor/166170      -> ciflow/inductor/166170
2025-11-03T16:21:59.4417613Z  * [new tag]                 ciflow/inductor/166198      -> ciflow/inductor/166198
2025-11-03T16:21:59.4418862Z  * [new tag]                 ciflow/inductor/166225      -> ciflow/inductor/166225
2025-11-03T16:21:59.4419938Z  * [new tag]                 ciflow/inductor/166236      -> ciflow/inductor/166236
2025-11-03T16:21:59.4421067Z  * [new tag]                 ciflow/inductor/166250      -> ciflow/inductor/166250
2025-11-03T16:21:59.4422494Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-11-03T16:21:59.4423435Z  * [new tag]                 ciflow/inductor/166276      -> ciflow/inductor/166276
2025-11-03T16:21:59.4424570Z  * [new tag]                 ciflow/inductor/166294      -> ciflow/inductor/166294
2025-11-03T16:21:59.4426139Z  * [new tag]                 ciflow/inductor/166300      -> ciflow/inductor/166300
2025-11-03T16:21:59.4427134Z  * [new tag]                 ciflow/inductor/166320      -> ciflow/inductor/166320
2025-11-03T16:21:59.4428312Z  * [new tag]                 ciflow/inductor/166321      -> ciflow/inductor/166321
2025-11-03T16:21:59.4429458Z  * [new tag]                 ciflow/inductor/166337      -> ciflow/inductor/166337
2025-11-03T16:21:59.4430935Z  * [new tag]                 ciflow/inductor/166341      -> ciflow/inductor/166341
2025-11-03T16:21:59.4431887Z  * [new tag]                 ciflow/inductor/166354      -> ciflow/inductor/166354
2025-11-03T16:21:59.4433001Z  * [new tag]                 ciflow/inductor/166355      -> ciflow/inductor/166355
2025-11-03T16:21:59.4434143Z  * [new tag]                 ciflow/inductor/166361      -> ciflow/inductor/166361
2025-11-03T16:21:59.4435277Z  * [new tag]                 ciflow/inductor/166366      -> ciflow/inductor/166366
2025-11-03T16:21:59.4436405Z  * [new tag]                 ciflow/inductor/166367      -> ciflow/inductor/166367
2025-11-03T16:21:59.4437531Z  * [new tag]                 ciflow/inductor/166370      -> ciflow/inductor/166370
2025-11-03T16:21:59.4438655Z  * [new tag]                 ciflow/inductor/166371      -> ciflow/inductor/166371
2025-11-03T16:21:59.4439824Z  * [new tag]                 ciflow/inductor/166372      -> ciflow/inductor/166372
2025-11-03T16:21:59.4441048Z  * [new tag]                 ciflow/inductor/166377      -> ciflow/inductor/166377
2025-11-03T16:21:59.4442209Z  * [new tag]                 ciflow/inductor/166400      -> ciflow/inductor/166400
2025-11-03T16:21:59.4443303Z  * [new tag]                 ciflow/inductor/166402      -> ciflow/inductor/166402
2025-11-03T16:21:59.4444574Z  * [new tag]                 ciflow/inductor/166417      -> ciflow/inductor/166417
2025-11-03T16:21:59.4445662Z  * [new tag]                 ciflow/inductor/166433      -> ciflow/inductor/166433
2025-11-03T16:21:59.4447171Z  * [new tag]                 ciflow/inductor/166442      -> ciflow/inductor/166442
2025-11-03T16:21:59.4448152Z  * [new tag]                 ciflow/inductor/166467      -> ciflow/inductor/166467
2025-11-03T16:21:59.4449271Z  * [new tag]                 ciflow/inductor/166479      -> ciflow/inductor/166479
2025-11-03T16:21:59.4450392Z  * [new tag]                 ciflow/inductor/166482      -> ciflow/inductor/166482
2025-11-03T16:21:59.4452051Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-11-03T16:21:59.4453055Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-11-03T16:21:59.4454539Z  * [new tag]                 ciflow/inductor/166498      -> ciflow/inductor/166498
2025-11-03T16:21:59.4455586Z  * [new tag]                 ciflow/inductor/166499      -> ciflow/inductor/166499
2025-11-03T16:21:59.4456726Z  * [new tag]                 ciflow/inductor/166515      -> ciflow/inductor/166515
2025-11-03T16:21:59.4457901Z  * [new tag]                 ciflow/inductor/166536      -> ciflow/inductor/166536
2025-11-03T16:21:59.4459372Z  * [new tag]                 ciflow/inductor/166540      -> ciflow/inductor/166540
2025-11-03T16:21:59.4460356Z  * [new tag]                 ciflow/inductor/166541      -> ciflow/inductor/166541
2025-11-03T16:21:59.4461502Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-11-03T16:21:59.4462757Z  * [new tag]                 ciflow/inductor/166581      -> ciflow/inductor/166581
2025-11-03T16:21:59.4463807Z  * [new tag]                 ciflow/inductor/166584      -> ciflow/inductor/166584
2025-11-03T16:21:59.4464901Z  * [new tag]                 ciflow/inductor/166593      -> ciflow/inductor/166593
2025-11-03T16:21:59.4466402Z  * [new tag]                 ciflow/inductor/166600      -> ciflow/inductor/166600
2025-11-03T16:21:59.4467375Z  * [new tag]                 ciflow/inductor/166608      -> ciflow/inductor/166608
2025-11-03T16:21:59.4468683Z  * [new tag]                 ciflow/inductor/166610      -> ciflow/inductor/166610
2025-11-03T16:21:59.4469826Z  * [new tag]                 ciflow/inductor/166629      -> ciflow/inductor/166629
2025-11-03T16:21:59.4471272Z  * [new tag]                 ciflow/inductor/166640      -> ciflow/inductor/166640
2025-11-03T16:21:59.4472482Z  * [new tag]                 ciflow/inductor/166648      -> ciflow/inductor/166648
2025-11-03T16:21:59.4473918Z  * [new tag]                 ciflow/inductor/166658      -> ciflow/inductor/166658
2025-11-03T16:21:59.4474918Z  * [new tag]                 ciflow/inductor/166659      -> ciflow/inductor/166659
2025-11-03T16:21:59.4476406Z  * [new tag]                 ciflow/inductor/166662      -> ciflow/inductor/166662
2025-11-03T16:21:59.4477389Z  * [new tag]                 ciflow/inductor/166663      -> ciflow/inductor/166663
2025-11-03T16:21:59.4478575Z  * [new tag]                 ciflow/inductor/166664      -> ciflow/inductor/166664
2025-11-03T16:21:59.4479684Z  * [new tag]                 ciflow/inductor/166669      -> ciflow/inductor/166669
2025-11-03T16:21:59.4480809Z  * [new tag]                 ciflow/inductor/166673      -> ciflow/inductor/166673
2025-11-03T16:21:59.4481957Z  * [new tag]                 ciflow/inductor/166674      -> ciflow/inductor/166674
2025-11-03T16:21:59.4483082Z  * [new tag]                 ciflow/inductor/166676      -> ciflow/inductor/166676
2025-11-03T16:21:59.4484329Z  * [new tag]                 ciflow/inductor/166679      -> ciflow/inductor/166679
2025-11-03T16:21:59.4485649Z  * [new tag]                 ciflow/inductor/166701      -> ciflow/inductor/166701
2025-11-03T16:21:59.4486693Z  * [new tag]                 ciflow/inductor/166720      -> ciflow/inductor/166720
2025-11-03T16:21:59.4488144Z  * [new tag]                 ciflow/inductor/166738      -> ciflow/inductor/166738
2025-11-03T16:21:59.4489064Z  * [new tag]                 ciflow/inductor/166740      -> ciflow/inductor/166740
2025-11-03T16:21:59.4490203Z  * [new tag]                 ciflow/inductor/166741      -> ciflow/inductor/166741
2025-11-03T16:21:59.4491321Z  * [new tag]                 ciflow/inductor/166745      -> ciflow/inductor/166745
2025-11-03T16:21:59.4492791Z  * [new tag]                 ciflow/inductor/166747      -> ciflow/inductor/166747
2025-11-03T16:21:59.4493783Z  * [new tag]                 ciflow/inductor/166757      -> ciflow/inductor/166757
2025-11-03T16:21:59.4494917Z  * [new tag]                 ciflow/inductor/166762      -> ciflow/inductor/166762
2025-11-03T16:21:59.4496075Z  * [new tag]                 ciflow/inductor/166775      -> ciflow/inductor/166775
2025-11-03T16:21:59.4497164Z  * [new tag]                 ciflow/inductor/166776      -> ciflow/inductor/166776
2025-11-03T16:21:59.4498289Z  * [new tag]                 ciflow/inductor/166777      -> ciflow/inductor/166777
2025-11-03T16:21:59.4499622Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-11-03T16:21:59.4501040Z  * [new tag]                 ciflow/inductor/166791      -> ciflow/inductor/166791
2025-11-03T16:21:59.4501970Z  * [new tag]                 ciflow/inductor/166793      -> ciflow/inductor/166793
2025-11-03T16:21:59.4503103Z  * [new tag]                 ciflow/inductor/166803      -> ciflow/inductor/166803
2025-11-03T16:21:59.4504456Z  * [new tag]                 ciflow/inductor/166808      -> ciflow/inductor/166808
2025-11-03T16:21:59.4505631Z  * [new tag]                 ciflow/inductor/166822      -> ciflow/inductor/166822
2025-11-03T16:21:59.4506632Z  * [new tag]                 ciflow/inductor/166834      -> ciflow/inductor/166834
2025-11-03T16:21:59.4508119Z  * [new tag]                 ciflow/inductor/166839      -> ciflow/inductor/166839
2025-11-03T16:21:59.4509207Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-11-03T16:21:59.4510404Z  * [new tag]                 ciflow/inductor/166855      -> ciflow/inductor/166855
2025-11-03T16:21:59.4511484Z  * [new tag]                 ciflow/inductor/166867      -> ciflow/inductor/166867
2025-11-03T16:21:59.4512631Z  * [new tag]                 ciflow/inductor/166868      -> ciflow/inductor/166868
2025-11-03T16:21:59.4514111Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-11-03T16:21:59.4515299Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-11-03T16:21:59.4516763Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-11-03T16:21:59.4517927Z  * [new tag]                 ciflow/linux-aarch64/166380 -> ciflow/linux-aarch64/166380
2025-11-03T16:21:59.4519031Z  * [new tag]                 ciflow/linux-aarch64/166441 -> ciflow/linux-aarch64/166441
2025-11-03T16:21:59.4520118Z  * [new tag]                 ciflow/linux-aarch64/166549 -> ciflow/linux-aarch64/166549
2025-11-03T16:21:59.4521128Z  * [new tag]                 ciflow/linux-aarch64/166640 -> ciflow/linux-aarch64/166640
2025-11-03T16:21:59.4522296Z  * [new tag]                 ciflow/linux-aarch64/166691 -> ciflow/linux-aarch64/166691
2025-11-03T16:21:59.4523377Z  * [new tag]                 ciflow/linux-aarch64/166849 -> ciflow/linux-aarch64/166849
2025-11-03T16:21:59.4524974Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-11-03T16:21:59.4525856Z  * [new tag]                 ciflow/mps/157554           -> ciflow/mps/157554
2025-11-03T16:21:59.4526921Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-11-03T16:21:59.4527930Z  * [new tag]                 ciflow/mps/165952           -> ciflow/mps/165952
2025-11-03T16:21:59.4528998Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-11-03T16:21:59.4530023Z  * [new tag]                 ciflow/mps/166273           -> ciflow/mps/166273
2025-11-03T16:21:59.4531220Z  * [new tag]                 ciflow/mps/166396           -> ciflow/mps/166396
2025-11-03T16:21:59.4532288Z  * [new tag]                 ciflow/mps/166615           -> ciflow/mps/166615
2025-11-03T16:21:59.4533355Z  * [new tag]                 ciflow/mps/166687           -> ciflow/mps/166687
2025-11-03T16:21:59.4534512Z  * [new tag]                 ciflow/mps/166712           -> ciflow/mps/166712
2025-11-03T16:21:59.4535571Z  * [new tag]                 ciflow/mps/166818           -> ciflow/mps/166818
2025-11-03T16:21:59.4537042Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-11-03T16:21:59.4538034Z  * [new tag]                 ciflow/nightly/166727       -> ciflow/nightly/166727
2025-11-03T16:21:59.4539522Z  * [new tag]                 ciflow/op-benchmark/165915  -> ciflow/op-benchmark/165915
2025-11-03T16:21:59.4540419Z  * [new tag]                 ciflow/op-benchmark/166331  -> ciflow/op-benchmark/166331
2025-11-03T16:21:59.4541499Z  * [new tag]                 ciflow/op-benchmark/166640  -> ciflow/op-benchmark/166640
2025-11-03T16:21:59.4542584Z  * [new tag]                 ciflow/op-benchmark/166652  -> ciflow/op-benchmark/166652
2025-11-03T16:21:59.4543631Z  * [new tag]                 ciflow/op-benchmark/166731  -> ciflow/op-benchmark/166731
2025-11-03T16:21:59.4545160Z  * [new tag]                 ciflow/periodic-rocm-mi200/166743 -> ciflow/periodic-rocm-mi200/166743
2025-11-03T16:21:59.4546400Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-11-03T16:21:59.4547552Z  * [new tag]                 ciflow/periodic-rocm-mi300/166743 -> ciflow/periodic-rocm-mi300/166743
2025-11-03T16:21:59.4549155Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-11-03T16:21:59.4550445Z  * [new tag]                 ciflow/periodic/06e71c85583d9857f716b441eef9db40d3f27a39 -> ciflow/periodic/06e71c85583d9857f716b441eef9db40d3f27a39
2025-11-03T16:21:59.4551705Z  * [new tag]                 ciflow/periodic/0e46a10aa7cf69354a0a0cbd268506b53a7cc882 -> ciflow/periodic/0e46a10aa7cf69354a0a0cbd268506b53a7cc882
2025-11-03T16:21:59.4552579Z  * [new tag]                 ciflow/periodic/163490      -> ciflow/periodic/163490
2025-11-03T16:21:59.4553648Z  * [new tag]                 ciflow/periodic/164202      -> ciflow/periodic/164202
2025-11-03T16:21:59.4554744Z  * [new tag]                 ciflow/periodic/164938      -> ciflow/periodic/164938
2025-11-03T16:21:59.4555829Z  * [new tag]                 ciflow/periodic/165885      -> ciflow/periodic/165885
2025-11-03T16:21:59.4557439Z  * [new tag]                 ciflow/periodic/166517      -> ciflow/periodic/166517
2025-11-03T16:21:59.4559599Z  * [new tag]                 ciflow/periodic/1e836bc769f9cfabc7659a172b8c2edee7c375d3 -> ciflow/periodic/1e836bc769f9cfabc7659a172b8c2edee7c375d3
2025-11-03T16:21:59.4560603Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-11-03T16:21:59.4562065Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-11-03T16:21:59.4563125Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-11-03T16:21:59.4564736Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-11-03T16:21:59.4565953Z  * [new tag]                 ciflow/periodic/687c15c0b3f01118536413d21efcd052838fa10d -> ciflow/periodic/687c15c0b3f01118536413d21efcd052838fa10d
2025-11-03T16:21:59.4567291Z  * [new tag]                 ciflow/periodic/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a -> ciflow/periodic/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a
2025-11-03T16:21:59.4568690Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-11-03T16:21:59.4570241Z  * [new tag]                 ciflow/periodic/96b61844a722d2ae8b1a2dc283a6c0060b40782e -> ciflow/periodic/96b61844a722d2ae8b1a2dc283a6c0060b40782e
2025-11-03T16:21:59.4571519Z  * [new tag]                 ciflow/periodic/be283297100ab86123e74b7a8372995d32b140c8 -> ciflow/periodic/be283297100ab86123e74b7a8372995d32b140c8
2025-11-03T16:21:59.4572880Z  * [new tag]                 ciflow/periodic/bfc2050db975e589795cd3eceaed2e83bf89ad35 -> ciflow/periodic/bfc2050db975e589795cd3eceaed2e83bf89ad35
2025-11-03T16:21:59.4574223Z  * [new tag]                 ciflow/periodic/c5701d0ab5f55b23243dd437f57e856970c45bb6 -> ciflow/periodic/c5701d0ab5f55b23243dd437f57e856970c45bb6
2025-11-03T16:21:59.4575549Z  * [new tag]                 ciflow/periodic/cde81e92b95eee9af2879c9c75f7b03699ca72ad -> ciflow/periodic/cde81e92b95eee9af2879c9c75f7b03699ca72ad
2025-11-03T16:21:59.4576929Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-11-03T16:21:59.4578371Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-11-03T16:21:59.4579519Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-11-03T16:21:59.4581022Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-11-03T16:21:59.4582249Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-11-03T16:21:59.4583859Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-11-03T16:21:59.4584972Z  * [new tag]                 ciflow/pull/166321          -> ciflow/pull/166321
2025-11-03T16:21:59.4586021Z  * [new tag]                 ciflow/pull/166768          -> ciflow/pull/166768
2025-11-03T16:21:59.4587707Z  * [new tag]                 ciflow/pull/18f425962656f009e151944d12f76e2f856b85df -> ciflow/pull/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:21:59.4588906Z  * [new tag]                 ciflow/pull/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> ciflow/pull/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:21:59.4590342Z  * [new tag]                 ciflow/pull/79aee77381b21d41c77148e5ff84c4b351aaf144 -> ciflow/pull/79aee77381b21d41c77148e5ff84c4b351aaf144
2025-11-03T16:21:59.4591870Z  * [new tag]                 ciflow/pull/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> ciflow/pull/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:21:59.4593158Z  * [new tag]                 ciflow/pull/cee03634dab2dbf259d84bc389bdea80de0f80ac -> ciflow/pull/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:21:59.4594423Z  * [new tag]                 ciflow/pull/d962bed15798961ffd10e64068f86a2cec411ffb -> ciflow/pull/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:21:59.4595691Z  * [new tag]                 ciflow/pull/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> ciflow/pull/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:21:59.4596992Z  * [new tag]                 ciflow/pull/f013e804c876a34cbc86a6a475597e3e29812883 -> ciflow/pull/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:21:59.4598377Z  * [new tag]                 ciflow/pull/f5cb9a4c68d9271c58ef4d3257210984b8e85099 -> ciflow/pull/f5cb9a4c68d9271c58ef4d3257210984b8e85099
2025-11-03T16:21:59.4599495Z  * [new tag]                 ciflow/rocm-mi300/162053    -> ciflow/rocm-mi300/162053
2025-11-03T16:21:59.4600527Z  * [new tag]                 ciflow/rocm-mi300/165548    -> ciflow/rocm-mi300/165548
2025-11-03T16:21:59.4601709Z  * [new tag]                 ciflow/rocm-mi300/166317    -> ciflow/rocm-mi300/166317
2025-11-03T16:21:59.4602781Z  * [new tag]                 ciflow/rocm-mi300/166743    -> ciflow/rocm-mi300/166743
2025-11-03T16:21:59.4604393Z  * [new tag]                 ciflow/rocm-mi355/162053    -> ciflow/rocm-mi355/162053
2025-11-03T16:21:59.4605283Z  * [new tag]                 ciflow/rocm-mi355/166743    -> ciflow/rocm-mi355/166743
2025-11-03T16:21:59.4606726Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-11-03T16:21:59.4607650Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-11-03T16:21:59.4608690Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-11-03T16:21:59.4609732Z  * [new tag]                 ciflow/rocm/157553          -> ciflow/rocm/157553
2025-11-03T16:21:59.4610774Z  * [new tag]                 ciflow/rocm/157635          -> ciflow/rocm/157635
2025-11-03T16:21:59.4611824Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-11-03T16:21:59.4612868Z  * [new tag]                 ciflow/rocm/161404          -> ciflow/rocm/161404
2025-11-03T16:21:59.4613901Z  * [new tag]                 ciflow/rocm/162053          -> ciflow/rocm/162053
2025-11-03T16:21:59.4614951Z  * [new tag]                 ciflow/rocm/163369          -> ciflow/rocm/163369
2025-11-03T16:21:59.4616021Z  * [new tag]                 ciflow/rocm/164657          -> ciflow/rocm/164657
2025-11-03T16:21:59.4617040Z  * [new tag]                 ciflow/rocm/165132          -> ciflow/rocm/165132
2025-11-03T16:21:59.4618538Z  * [new tag]                 ciflow/rocm/165541          -> ciflow/rocm/165541
2025-11-03T16:21:59.4619975Z  * [new tag]                 ciflow/rocm/165548          -> ciflow/rocm/165548
2025-11-03T16:21:59.4621233Z  * [new tag]                 ciflow/rocm/165952          -> ciflow/rocm/165952
2025-11-03T16:21:59.4622548Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-11-03T16:21:59.4623638Z  * [new tag]                 ciflow/rocm/166250          -> ciflow/rocm/166250
2025-11-03T16:21:59.4624756Z  * [new tag]                 ciflow/rocm/166317          -> ciflow/rocm/166317
2025-11-03T16:21:59.4625866Z  * [new tag]                 ciflow/rocm/166377          -> ciflow/rocm/166377
2025-11-03T16:21:59.4627275Z  * [new tag]                 ciflow/rocm/166391          -> ciflow/rocm/166391
2025-11-03T16:21:59.4628382Z  * [new tag]                 ciflow/rocm/166515          -> ciflow/rocm/166515
2025-11-03T16:21:59.4629382Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-11-03T16:21:59.4630585Z  * [new tag]                 ciflow/rocm/166526          -> ciflow/rocm/166526
2025-11-03T16:21:59.4631693Z  * [new tag]                 ciflow/rocm/166743          -> ciflow/rocm/166743
2025-11-03T16:21:59.4632812Z  * [new tag]                 ciflow/rocm/166744          -> ciflow/rocm/166744
2025-11-03T16:21:59.4633929Z  * [new tag]                 ciflow/rocm/166752          -> ciflow/rocm/166752
2025-11-03T16:21:59.4635032Z  * [new tag]                 ciflow/rocm/166764          -> ciflow/rocm/166764
2025-11-03T16:21:59.4636149Z  * [new tag]                 ciflow/rocm/166834          -> ciflow/rocm/166834
2025-11-03T16:21:59.4637756Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-11-03T16:21:59.4638832Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-11-03T16:21:59.4640500Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-11-03T16:21:59.4641299Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-11-03T16:21:59.4642385Z  * [new tag]                 ciflow/slow/166844          -> ciflow/slow/166844
2025-11-03T16:21:59.4643871Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-11-03T16:21:59.4645315Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-11-03T16:21:59.4646864Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-11-03T16:21:59.4648365Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-11-03T16:21:59.4649801Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-11-03T16:21:59.4650986Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-11-03T16:21:59.4652279Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-11-03T16:21:59.4653609Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-11-03T16:21:59.4655262Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-11-03T16:21:59.4656181Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-11-03T16:21:59.4657618Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-11-03T16:21:59.4658744Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-11-03T16:21:59.4660172Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-11-03T16:21:59.4661317Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-11-03T16:21:59.4663051Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-11-03T16:21:59.4664374Z  * [new tag]                 ciflow/trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12 -> ciflow/trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12
2025-11-03T16:21:59.4665599Z  * [new tag]                 ciflow/trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445 -> ciflow/trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445
2025-11-03T16:21:59.4666445Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-11-03T16:21:59.4667510Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-11-03T16:21:59.4668685Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-11-03T16:21:59.4669748Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-11-03T16:21:59.4670925Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-11-03T16:21:59.4672824Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-11-03T16:21:59.4674329Z  * [new tag]                 ciflow/trunk/155731         -> ciflow/trunk/155731
2025-11-03T16:21:59.4675349Z  * [new tag]                 ciflow/trunk/156812         -> ciflow/trunk/156812
2025-11-03T16:21:59.4676453Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-11-03T16:21:59.4677710Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-11-03T16:21:59.4678805Z  * [new tag]                 ciflow/trunk/160417         -> ciflow/trunk/160417
2025-11-03T16:21:59.4680237Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-11-03T16:21:59.4681306Z  * [new tag]                 ciflow/trunk/161771         -> ciflow/trunk/161771
2025-11-03T16:21:59.4682449Z  * [new tag]                 ciflow/trunk/162053         -> ciflow/trunk/162053
2025-11-03T16:21:59.4683825Z  * [new tag]                 ciflow/trunk/162454         -> ciflow/trunk/162454
2025-11-03T16:21:59.4685223Z  * [new tag]                 ciflow/trunk/162564         -> ciflow/trunk/162564
2025-11-03T16:21:59.4686102Z  * [new tag]                 ciflow/trunk/162709         -> ciflow/trunk/162709
2025-11-03T16:21:59.4687166Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-11-03T16:21:59.4688382Z  * [new tag]                 ciflow/trunk/163249         -> ciflow/trunk/163249
2025-11-03T16:21:59.4689441Z  * [new tag]                 ciflow/trunk/163490         -> ciflow/trunk/163490
2025-11-03T16:21:59.4690686Z  * [new tag]                 ciflow/trunk/164202         -> ciflow/trunk/164202
2025-11-03T16:21:59.4691672Z  * [new tag]                 ciflow/trunk/164938         -> ciflow/trunk/164938
2025-11-03T16:21:59.4692918Z  * [new tag]                 ciflow/trunk/164979         -> ciflow/trunk/164979
2025-11-03T16:21:59.4693929Z  * [new tag]                 ciflow/trunk/164980         -> ciflow/trunk/164980
2025-11-03T16:21:59.4695088Z  * [new tag]                 ciflow/trunk/165029         -> ciflow/trunk/165029
2025-11-03T16:21:59.4696510Z  * [new tag]                 ciflow/trunk/165049         -> ciflow/trunk/165049
2025-11-03T16:21:59.4697813Z  * [new tag]                 ciflow/trunk/165067         -> ciflow/trunk/165067
2025-11-03T16:21:59.4698838Z  * [new tag]                 ciflow/trunk/165132         -> ciflow/trunk/165132
2025-11-03T16:21:59.4700231Z  * [new tag]                 ciflow/trunk/165216         -> ciflow/trunk/165216
2025-11-03T16:21:59.4701238Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-11-03T16:21:59.4702589Z  * [new tag]                 ciflow/trunk/165431         -> ciflow/trunk/165431
2025-11-03T16:21:59.4703625Z  * [new tag]                 ciflow/trunk/165548         -> ciflow/trunk/165548
2025-11-03T16:21:59.4704856Z  * [new tag]                 ciflow/trunk/165642         -> ciflow/trunk/165642
2025-11-03T16:21:59.4705873Z  * [new tag]                 ciflow/trunk/165646         -> ciflow/trunk/165646
2025-11-03T16:21:59.4707138Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-11-03T16:21:59.4708138Z  * [new tag]                 ciflow/trunk/165824         -> ciflow/trunk/165824
2025-11-03T16:21:59.4709312Z  * [new tag]                 ciflow/trunk/165885         -> ciflow/trunk/165885
2025-11-03T16:21:59.4710347Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-11-03T16:21:59.4711589Z  * [new tag]                 ciflow/trunk/165972         -> ciflow/trunk/165972
2025-11-03T16:21:59.4712604Z  * [new tag]                 ciflow/trunk/166010         -> ciflow/trunk/166010
2025-11-03T16:21:59.4713835Z  * [new tag]                 ciflow/trunk/166071         -> ciflow/trunk/166071
2025-11-03T16:21:59.4715046Z  * [new tag]                 ciflow/trunk/166160         -> ciflow/trunk/166160
2025-11-03T16:21:59.4716161Z  * [new tag]                 ciflow/trunk/166170         -> ciflow/trunk/166170
2025-11-03T16:21:59.4717246Z  * [new tag]                 ciflow/trunk/166198         -> ciflow/trunk/166198
2025-11-03T16:21:59.4718523Z  * [new tag]                 ciflow/trunk/166294         -> ciflow/trunk/166294
2025-11-03T16:21:59.4719546Z  * [new tag]                 ciflow/trunk/166299         -> ciflow/trunk/166299
2025-11-03T16:21:59.4720777Z  * [new tag]                 ciflow/trunk/166317         -> ciflow/trunk/166317
2025-11-03T16:21:59.4721998Z  * [new tag]                 ciflow/trunk/166321         -> ciflow/trunk/166321
2025-11-03T16:21:59.4723017Z  * [new tag]                 ciflow/trunk/166361         -> ciflow/trunk/166361
2025-11-03T16:21:59.4724375Z  * [new tag]                 ciflow/trunk/166367         -> ciflow/trunk/166367
2025-11-03T16:21:59.4725744Z  * [new tag]                 ciflow/trunk/166376         -> ciflow/trunk/166376
2025-11-03T16:21:59.4726718Z  * [new tag]                 ciflow/trunk/166379         -> ciflow/trunk/166379
2025-11-03T16:21:59.4727902Z  * [new tag]                 ciflow/trunk/166380         -> ciflow/trunk/166380
2025-11-03T16:21:59.4728912Z  * [new tag]                 ciflow/trunk/166402         -> ciflow/trunk/166402
2025-11-03T16:21:59.4730142Z  * [new tag]                 ciflow/trunk/166416         -> ciflow/trunk/166416
2025-11-03T16:21:59.4731897Z  * [new tag]                 ciflow/trunk/166431         -> ciflow/trunk/166431
2025-11-03T16:21:59.4733047Z  * [new tag]                 ciflow/trunk/166433         -> ciflow/trunk/166433
2025-11-03T16:21:59.4733925Z  * [new tag]                 ciflow/trunk/166459         -> ciflow/trunk/166459
2025-11-03T16:21:59.4734907Z  * [new tag]                 ciflow/trunk/166469         -> ciflow/trunk/166469
2025-11-03T16:21:59.4736191Z  * [new tag]                 ciflow/trunk/166493         -> ciflow/trunk/166493
2025-11-03T16:21:59.4737201Z  * [new tag]                 ciflow/trunk/166526         -> ciflow/trunk/166526
2025-11-03T16:21:59.4738457Z  * [new tag]                 ciflow/trunk/166536         -> ciflow/trunk/166536
2025-11-03T16:21:59.4739525Z  * [new tag]                 ciflow/trunk/166541         -> ciflow/trunk/166541
2025-11-03T16:21:59.4740688Z  * [new tag]                 ciflow/trunk/166549         -> ciflow/trunk/166549
2025-11-03T16:21:59.4742089Z  * [new tag]                 ciflow/trunk/166560         -> ciflow/trunk/166560
2025-11-03T16:21:59.4743119Z  * [new tag]                 ciflow/trunk/166608         -> ciflow/trunk/166608
2025-11-03T16:21:59.4744387Z  * [new tag]                 ciflow/trunk/166610         -> ciflow/trunk/166610
2025-11-03T16:21:59.4745626Z  * [new tag]                 ciflow/trunk/166613         -> ciflow/trunk/166613
2025-11-03T16:21:59.4746600Z  * [new tag]                 ciflow/trunk/166640         -> ciflow/trunk/166640
2025-11-03T16:21:59.4748345Z  * [new tag]                 ciflow/trunk/166687         -> ciflow/trunk/166687
2025-11-03T16:21:59.4749406Z  * [new tag]                 ciflow/trunk/166688         -> ciflow/trunk/166688
2025-11-03T16:21:59.4750629Z  * [new tag]                 ciflow/trunk/166689         -> ciflow/trunk/166689
2025-11-03T16:21:59.4751905Z  * [new tag]                 ciflow/trunk/166715         -> ciflow/trunk/166715
2025-11-03T16:21:59.4752904Z  * [new tag]                 ciflow/trunk/166727         -> ciflow/trunk/166727
2025-11-03T16:21:59.4754158Z  * [new tag]                 ciflow/trunk/166744         -> ciflow/trunk/166744
2025-11-03T16:21:59.4755442Z  * [new tag]                 ciflow/trunk/166751         -> ciflow/trunk/166751
2025-11-03T16:21:59.4756466Z  * [new tag]                 ciflow/trunk/166768         -> ciflow/trunk/166768
2025-11-03T16:21:59.4757707Z  * [new tag]                 ciflow/trunk/166793         -> ciflow/trunk/166793
2025-11-03T16:21:59.4758754Z  * [new tag]                 ciflow/trunk/166805         -> ciflow/trunk/166805
2025-11-03T16:21:59.4760012Z  * [new tag]                 ciflow/trunk/166806         -> ciflow/trunk/166806
2025-11-03T16:21:59.4761151Z  * [new tag]                 ciflow/trunk/166813         -> ciflow/trunk/166813
2025-11-03T16:21:59.4762184Z  * [new tag]                 ciflow/trunk/166830         -> ciflow/trunk/166830
2025-11-03T16:21:59.4763479Z  * [new tag]                 ciflow/trunk/166839         -> ciflow/trunk/166839
2025-11-03T16:21:59.4764974Z  * [new tag]                 ciflow/trunk/166840         -> ciflow/trunk/166840
2025-11-03T16:21:59.4765964Z  * [new tag]                 ciflow/trunk/166844         -> ciflow/trunk/166844
2025-11-03T16:21:59.4767104Z  * [new tag]                 ciflow/trunk/166847         -> ciflow/trunk/166847
2025-11-03T16:21:59.4768972Z  * [new tag]                 ciflow/trunk/166861         -> ciflow/trunk/166861
2025-11-03T16:21:59.4771522Z  * [new tag]                 ciflow/trunk/18f425962656f009e151944d12f76e2f856b85df -> ciflow/trunk/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:21:59.4772583Z  * [new tag]                 ciflow/trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> ciflow/trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:21:59.4774033Z  * [new tag]                 ciflow/trunk/a19e92d43355489c8d33325321e688a6e6182267 -> ciflow/trunk/a19e92d43355489c8d33325321e688a6e6182267
2025-11-03T16:21:59.4775204Z  * [new tag]                 ciflow/trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> ciflow/trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:21:59.4776558Z  * [new tag]                 ciflow/trunk/c3dc0c7089f3204c36961acc227a3ff503530094 -> ciflow/trunk/c3dc0c7089f3204c36961acc227a3ff503530094
2025-11-03T16:21:59.4777720Z  * [new tag]                 ciflow/trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac -> ciflow/trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:21:59.4778878Z  * [new tag]                 ciflow/trunk/d962bed15798961ffd10e64068f86a2cec411ffb -> ciflow/trunk/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:21:59.4780046Z  * [new tag]                 ciflow/trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> ciflow/trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:21:59.4781215Z  * [new tag]                 ciflow/trunk/f013e804c876a34cbc86a6a475597e3e29812883 -> ciflow/trunk/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:21:59.4782700Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-11-03T16:21:59.4783977Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-11-03T16:21:59.4784952Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-11-03T16:21:59.4786337Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-11-03T16:21:59.4787637Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-11-03T16:21:59.4788564Z  * [new tag]                 ciflow/xpu/161246           -> ciflow/xpu/161246
2025-11-03T16:21:59.4789583Z  * [new tag]                 ciflow/xpu/162454           -> ciflow/xpu/162454
2025-11-03T16:21:59.4790913Z  * [new tag]                 ciflow/xpu/162475           -> ciflow/xpu/162475
2025-11-03T16:21:59.4791898Z  * [new tag]                 ciflow/xpu/162564           -> ciflow/xpu/162564
2025-11-03T16:21:59.4792905Z  * [new tag]                 ciflow/xpu/165049           -> ciflow/xpu/165049
2025-11-03T16:21:59.4793934Z  * [new tag]                 ciflow/xpu/165423           -> ciflow/xpu/165423
2025-11-03T16:21:59.4795199Z  * [new tag]                 ciflow/xpu/166292           -> ciflow/xpu/166292
2025-11-03T16:21:59.4796161Z  * [new tag]                 ciflow/xpu/166299           -> ciflow/xpu/166299
2025-11-03T16:21:59.4797165Z  * [new tag]                 ciflow/xpu/166376           -> ciflow/xpu/166376
2025-11-03T16:21:59.4798301Z  * [new tag]                 ciflow/xpu/166396           -> ciflow/xpu/166396
2025-11-03T16:21:59.4799702Z  * [new tag]                 ciflow/xpu/166424           -> ciflow/xpu/166424
2025-11-03T16:21:59.4801349Z  * [new tag]                 ciflow/xpu/166436           -> ciflow/xpu/166436
2025-11-03T16:21:59.4802593Z  * [new tag]                 ciflow/xpu/166495           -> ciflow/xpu/166495
2025-11-03T16:21:59.4803857Z  * [new tag]                 ciflow/xpu/166504           -> ciflow/xpu/166504
2025-11-03T16:21:59.4805090Z  * [new tag]                 ciflow/xpu/166613           -> ciflow/xpu/166613
2025-11-03T16:21:59.4806323Z  * [new tag]                 ciflow/xpu/166684           -> ciflow/xpu/166684
2025-11-03T16:21:59.4807468Z  * [new tag]                 ciflow/xpu/166830           -> ciflow/xpu/166830
2025-11-03T16:21:59.4808503Z  * [new tag]                 ciflow/xpu/166834           -> ciflow/xpu/166834
2025-11-03T16:21:59.4809755Z  * [new tag]                 ciflow/xpu/166839           -> ciflow/xpu/166839
2025-11-03T16:21:59.4810779Z  * [new tag]                 ciflow/xpu/166840           -> ciflow/xpu/166840
2025-11-03T16:21:59.4812097Z  * [new tag]                 ciflow/xpu/166847           -> ciflow/xpu/166847
2025-11-03T16:21:59.4813093Z  * [new tag]                 ciflow/xpu/166861           -> ciflow/xpu/166861
2025-11-03T16:21:59.4814332Z  * [new tag]                 cslpull75                   -> cslpull75
2025-11-03T16:21:59.4815333Z  * [new tag]                 cslpull76                   -> cslpull76
2025-11-03T16:21:59.4816595Z  * [new tag]                 cslpull77                   -> cslpull77
2025-11-03T16:21:59.4817582Z  * [new tag]                 cslpull78                   -> cslpull78
2025-11-03T16:21:59.4819043Z  * [new tag]                 cslpull79                   -> cslpull79
2025-11-03T16:21:59.4820508Z  * [new tag]                 cslpull80                   -> cslpull80
2025-11-03T16:21:59.4821771Z  * [new tag]                 cslpull81                   -> cslpull81
2025-11-03T16:21:59.4822923Z  * [new tag]                 cslpull82                   -> cslpull82
2025-11-03T16:21:59.4824126Z  * [new tag]                 cslpull83                   -> cslpull83
2025-11-03T16:21:59.4825732Z  * [new tag]                 cslpull84                   -> cslpull84
2025-11-03T16:21:59.4826854Z  * [new tag]                 cslpull85                   -> cslpull85
2025-11-03T16:21:59.4828134Z  * [new tag]                 cslpull86                   -> cslpull86
2025-11-03T16:21:59.4829344Z  * [new tag]                 cslpull87                   -> cslpull87
2025-11-03T16:21:59.4830542Z  * [new tag]                 cslpull88                   -> cslpull88
2025-11-03T16:21:59.4831744Z  * [new tag]                 cslpull89                   -> cslpull89
2025-11-03T16:21:59.4832701Z  * [new tag]                 cslpull90                   -> cslpull90
2025-11-03T16:21:59.4834454Z  * [new tag]                 cslpull91                   -> cslpull91
2025-11-03T16:21:59.4835652Z  * [new tag]                 cslpull92                   -> cslpull92
2025-11-03T16:21:59.4836897Z  * [new tag]                 flight_5                    -> flight_5
2025-11-03T16:21:59.4838363Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-11-03T16:21:59.4839575Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-11-03T16:21:59.4840829Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-11-03T16:21:59.4842116Z  * [new tag]                 forpull1                    -> forpull1
2025-11-03T16:21:59.4843560Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-11-03T16:21:59.4844898Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-11-03T16:21:59.4845966Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-11-03T16:21:59.4847379Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-11-03T16:21:59.4848643Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-11-03T16:21:59.4849921Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-11-03T16:21:59.4851670Z  * [new tag]                 trunk/000f49551bfda0683d395e1fe67f53cfb785868f -> trunk/000f49551bfda0683d395e1fe67f53cfb785868f
2025-11-03T16:21:59.4852552Z  * [new tag]                 trunk/009ea77234788b29910b1205679036eaae3ee3ac -> trunk/009ea77234788b29910b1205679036eaae3ee3ac
2025-11-03T16:21:59.4854145Z  * [new tag]                 trunk/0187db88d463905e5f7dcdf7689519e2807e5a12 -> trunk/0187db88d463905e5f7dcdf7689519e2807e5a12
2025-11-03T16:21:59.4855649Z  * [new tag]                 trunk/02095cc09db01f1fecae436ac1a6ecdf2cfca0db -> trunk/02095cc09db01f1fecae436ac1a6ecdf2cfca0db
2025-11-03T16:21:59.4856728Z  * [new tag]                 trunk/030de07affa347a80fa9f11ab8e9234fc6d7fd4d -> trunk/030de07affa347a80fa9f11ab8e9234fc6d7fd4d
2025-11-03T16:21:59.4857988Z  * [new tag]                 trunk/034e951b0cfb02d7b55327cd482e58cf2695dca0 -> trunk/034e951b0cfb02d7b55327cd482e58cf2695dca0
2025-11-03T16:21:59.4859102Z  * [new tag]                 trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12 -> trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12
2025-11-03T16:21:59.4860186Z  * [new tag]                 trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445 -> trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445
2025-11-03T16:21:59.4861431Z  * [new tag]                 trunk/061fa73c97dcfcb39077ce8fc4042e7f22824b22 -> trunk/061fa73c97dcfcb39077ce8fc4042e7f22824b22
2025-11-03T16:21:59.4863012Z  * [new tag]                 trunk/0674e0a0f14775f920296e9dfb8b61e4960bf99d -> trunk/0674e0a0f14775f920296e9dfb8b61e4960bf99d
2025-11-03T16:21:59.4863995Z  * [new tag]                 trunk/06e71c85583d9857f716b441eef9db40d3f27a39 -> trunk/06e71c85583d9857f716b441eef9db40d3f27a39
2025-11-03T16:21:59.4865254Z  * [new tag]                 trunk/08ae55021eafba28b304e78ef2da9a76741ce039 -> trunk/08ae55021eafba28b304e78ef2da9a76741ce039
2025-11-03T16:21:59.4866467Z  * [new tag]                 trunk/08b0a8f11a00e0442bd3b3066617a501dca29876 -> trunk/08b0a8f11a00e0442bd3b3066617a501dca29876
2025-11-03T16:21:59.4867956Z  * [new tag]                 trunk/08f4535378b9ab5c7ba74828bb20ad535e6de8eb -> trunk/08f4535378b9ab5c7ba74828bb20ad535e6de8eb
2025-11-03T16:21:59.4869881Z  * [new tag]                 trunk/0918bf321c2cfaebb91c5f9e5f0ebe462962328e -> trunk/0918bf321c2cfaebb91c5f9e5f0ebe462962328e
2025-11-03T16:21:59.4870961Z  * [new tag]                 trunk/0947765eb9208996f221dbcb088df800be3953d7 -> trunk/0947765eb9208996f221dbcb088df800be3953d7
2025-11-03T16:21:59.4872241Z  * [new tag]                 trunk/0a3ac47c0a36d7ed619e6577294648a7c14b1ae1 -> trunk/0a3ac47c0a36d7ed619e6577294648a7c14b1ae1
2025-11-03T16:21:59.4873511Z  * [new tag]                 trunk/0ae3e306217a67362371267bbba0ac3fa0855fdc -> trunk/0ae3e306217a67362371267bbba0ac3fa0855fdc
2025-11-03T16:21:59.4874728Z  * [new tag]                 trunk/0d3a4f7155508656bd928527840ed155e8b1a88b -> trunk/0d3a4f7155508656bd928527840ed155e8b1a88b
2025-11-03T16:21:59.4876017Z  * [new tag]                 trunk/0d4992c1702d9d14bc73c29d44029adb7e698eba -> trunk/0d4992c1702d9d14bc73c29d44029adb7e698eba
2025-11-03T16:21:59.4877271Z  * [new tag]                 trunk/0d50e5d8d4132cb09508b3e35701e7b06433420e -> trunk/0d50e5d8d4132cb09508b3e35701e7b06433420e
2025-11-03T16:21:59.4878492Z  * [new tag]                 trunk/0d81bb7f9cef1b735ff373a245aaa2bc037b31b0 -> trunk/0d81bb7f9cef1b735ff373a245aaa2bc037b31b0
2025-11-03T16:21:59.4879748Z  * [new tag]                 trunk/0e19561e235372a3fbed81338fa4e674116c0448 -> trunk/0e19561e235372a3fbed81338fa4e674116c0448
2025-11-03T16:21:59.4880851Z  * [new tag]                 trunk/0e46a10aa7cf69354a0a0cbd268506b53a7cc882 -> trunk/0e46a10aa7cf69354a0a0cbd268506b53a7cc882
2025-11-03T16:21:59.4882164Z  * [new tag]                 trunk/0eacd934bc1c1bee002fcd084300d596d789d166 -> trunk/0eacd934bc1c1bee002fcd084300d596d789d166
2025-11-03T16:21:59.4883403Z  * [new tag]                 trunk/0ec054982304473b51e6ded40c2dc3993d4036be -> trunk/0ec054982304473b51e6ded40c2dc3993d4036be
2025-11-03T16:21:59.4884910Z  * [new tag]                 trunk/108bb224f77842593009214ebf6258030b934642 -> trunk/108bb224f77842593009214ebf6258030b934642
2025-11-03T16:21:59.4886063Z  * [new tag]                 trunk/110efe4df4759006ce5aad4ae1b87d93dcf33c3b -> trunk/110efe4df4759006ce5aad4ae1b87d93dcf33c3b
2025-11-03T16:21:59.4887194Z  * [new tag]                 trunk/112960541529ab0d27bb8aa8b487ef194e048494 -> trunk/112960541529ab0d27bb8aa8b487ef194e048494
2025-11-03T16:21:59.4888670Z  * [new tag]                 trunk/121235956bab7430fb8d080cee209607f8387ead -> trunk/121235956bab7430fb8d080cee209607f8387ead
2025-11-03T16:21:59.4890070Z  * [new tag]                 trunk/12577064dddfc6f5daf66c5b5a73cb418a588f20 -> trunk/12577064dddfc6f5daf66c5b5a73cb418a588f20
2025-11-03T16:21:59.4891278Z  * [new tag]                 trunk/12c12466b082834d23c1f512130da9280badfd28 -> trunk/12c12466b082834d23c1f512130da9280badfd28
2025-11-03T16:21:59.4892607Z  * [new tag]                 trunk/13413b3b07cc72fa9c2671b2535f7e54c1b30ca2 -> trunk/13413b3b07cc72fa9c2671b2535f7e54c1b30ca2
2025-11-03T16:21:59.4893921Z  * [new tag]                 trunk/13549e0e105291721f6f80ceb8f520ca272b971d -> trunk/13549e0e105291721f6f80ceb8f520ca272b971d
2025-11-03T16:21:59.4895147Z  * [new tag]                 trunk/14102fb1f337d01ca61584011f5f657d14da5de6 -> trunk/14102fb1f337d01ca61584011f5f657d14da5de6
2025-11-03T16:21:59.4896510Z  * [new tag]                 trunk/1425b40f29ab11ce21f7a98de9e35551213efe27 -> trunk/1425b40f29ab11ce21f7a98de9e35551213efe27
2025-11-03T16:21:59.4897740Z  * [new tag]                 trunk/14d4a77495dc80da9cd7c5c29b21aaf4613ddc5b -> trunk/14d4a77495dc80da9cd7c5c29b21aaf4613ddc5b
2025-11-03T16:21:59.4899018Z  * [new tag]                 trunk/160ab53dd57e67b3574763615cf8b33249e9afa5 -> trunk/160ab53dd57e67b3574763615cf8b33249e9afa5
2025-11-03T16:21:59.4900226Z  * [new tag]                 trunk/16212f0d6bc1c4fb6ac0498badbe2fb74d5ff47b -> trunk/16212f0d6bc1c4fb6ac0498badbe2fb74d5ff47b
2025-11-03T16:21:59.4901578Z  * [new tag]                 trunk/1656b253c5fcc34a53a9991303170892c6d90c1d -> trunk/1656b253c5fcc34a53a9991303170892c6d90c1d
2025-11-03T16:21:59.4902904Z  * [new tag]                 trunk/173bcda436e9a00aa8215a414efc0c06cf4840a8 -> trunk/173bcda436e9a00aa8215a414efc0c06cf4840a8
2025-11-03T16:21:59.4904152Z  * [new tag]                 trunk/1764f3a9c8eea4cf0aba853348446948597b7b78 -> trunk/1764f3a9c8eea4cf0aba853348446948597b7b78
2025-11-03T16:21:59.4905418Z  * [new tag]                 trunk/17bdb232e1b3df3435fc6f54d3d713404ba96726 -> trunk/17bdb232e1b3df3435fc6f54d3d713404ba96726
2025-11-03T16:21:59.4906661Z  * [new tag]                 trunk/17d5aa47674c5195a3d4919169fb6a334598e2a6 -> trunk/17d5aa47674c5195a3d4919169fb6a334598e2a6
2025-11-03T16:21:59.4907870Z  * [new tag]                 trunk/181ee3bd42447b71a1a8435bf16c0877c4bc3ae7 -> trunk/181ee3bd42447b71a1a8435bf16c0877c4bc3ae7
2025-11-03T16:21:59.4908958Z  * [new tag]                 trunk/18f425962656f009e151944d12f76e2f856b85df -> trunk/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:21:59.4910347Z  * [new tag]                 trunk/1abfa5f70b9aa0dcbd83dc40b092dda1cdcc7805 -> trunk/1abfa5f70b9aa0dcbd83dc40b092dda1cdcc7805
2025-11-03T16:21:59.4911632Z  * [new tag]                 trunk/1aef88c72d3aef629b20e97a188c9dc4bab46a1a -> trunk/1aef88c72d3aef629b20e97a188c9dc4bab46a1a
2025-11-03T16:21:59.4912886Z  * [new tag]                 trunk/1b655a87ef137d2cc9603a982532c5e033432daa -> trunk/1b655a87ef137d2cc9603a982532c5e033432daa
2025-11-03T16:21:59.4914217Z  * [new tag]                 trunk/1c4ced2eafa470832f2f4e24487785c5b7b188c9 -> trunk/1c4ced2eafa470832f2f4e24487785c5b7b188c9
2025-11-03T16:21:59.4915529Z  * [new tag]                 trunk/1dd6b76914397d466a7d9bfff551b6d8299fdce4 -> trunk/1dd6b76914397d466a7d9bfff551b6d8299fdce4
2025-11-03T16:21:59.4916780Z  * [new tag]                 trunk/1dec8a67a8dc88736e9c476a3eaee301684094cd -> trunk/1dec8a67a8dc88736e9c476a3eaee301684094cd
2025-11-03T16:21:59.4918028Z  * [new tag]                 trunk/1e3600b5287346b29a835ad67f8b33945e0ec698 -> trunk/1e3600b5287346b29a835ad67f8b33945e0ec698
2025-11-03T16:21:59.4919115Z  * [new tag]                 trunk/1e836bc769f9cfabc7659a172b8c2edee7c375d3 -> trunk/1e836bc769f9cfabc7659a172b8c2edee7c375d3
2025-11-03T16:21:59.4920457Z  * [new tag]                 trunk/1fa520ea654f5fc0b3c65ce6e056dd73442dd65d -> trunk/1fa520ea654f5fc0b3c65ce6e056dd73442dd65d
2025-11-03T16:21:59.4921670Z  * [new tag]                 trunk/1fdef664a5dffc3bd3d9eba9d78ed458a5f9dbcb -> trunk/1fdef664a5dffc3bd3d9eba9d78ed458a5f9dbcb
2025-11-03T16:21:59.4923260Z  * [new tag]                 trunk/20be077085daf739af76325d04f649dcd908316c -> trunk/20be077085daf739af76325d04f649dcd908316c
2025-11-03T16:21:59.4924528Z  * [new tag]                 trunk/21b48f8dfa7685699df4c97c0ba373d5364230d9 -> trunk/21b48f8dfa7685699df4c97c0ba373d5364230d9
2025-11-03T16:21:59.4925809Z  * [new tag]                 trunk/23669d02a67023ef3192f7dca0ac0547436cae50 -> trunk/23669d02a67023ef3192f7dca0ac0547436cae50
2025-11-03T16:21:59.4927095Z  * [new tag]                 trunk/236ce736a1a84352b21b564e3e5b0be833d7c10c -> trunk/236ce736a1a84352b21b564e3e5b0be833d7c10c
2025-11-03T16:21:59.4928288Z  * [new tag]                 trunk/239e7b541a94d16a33a4a48d3edc9a561777d86a -> trunk/239e7b541a94d16a33a4a48d3edc9a561777d86a
2025-11-03T16:21:59.4929563Z  * [new tag]                 trunk/23b57a445c6394d46a6b46e32b7787663f40d13b -> trunk/23b57a445c6394d46a6b46e32b7787663f40d13b
2025-11-03T16:21:59.4931189Z  * [new tag]                 trunk/24b6eb7727f7eef078f9366302f2aa3e1fef1db4 -> trunk/24b6eb7727f7eef078f9366302f2aa3e1fef1db4
2025-11-03T16:21:59.4932493Z  * [new tag]                 trunk/24e94e021a5a96bf16397ea66243070a7be4aaef -> trunk/24e94e021a5a96bf16397ea66243070a7be4aaef
2025-11-03T16:21:59.4933762Z  * [new tag]                 trunk/26534e9809eb2f7cd804fde5152cdd13dda2293f -> trunk/26534e9809eb2f7cd804fde5152cdd13dda2293f
2025-11-03T16:21:59.4934963Z  * [new tag]                 trunk/267d0197bfca0232488d51dd1ff735d619adc2cf -> trunk/267d0197bfca0232488d51dd1ff735d619adc2cf
2025-11-03T16:21:59.4936218Z  * [new tag]                 trunk/2699f5410b6802277db724f145c281814d6c9ac4 -> trunk/2699f5410b6802277db724f145c281814d6c9ac4
2025-11-03T16:21:59.4937536Z  * [new tag]                 trunk/2829d48bd113043a98e81b4ab7fa0f3ca9ae0072 -> trunk/2829d48bd113043a98e81b4ab7fa0f3ca9ae0072
2025-11-03T16:21:59.4938774Z  * [new tag]                 trunk/284716a691580cf0508a7c5a4f9f7306a32092ad -> trunk/284716a691580cf0508a7c5a4f9f7306a32092ad
2025-11-03T16:21:59.4939968Z  * [new tag]                 trunk/298666631baa6634666ac4dd4599f1d52bafa718 -> trunk/298666631baa6634666ac4dd4599f1d52bafa718
2025-11-03T16:21:59.4941312Z  * [new tag]                 trunk/2a058bfecf4f4a47927b4eaae9324c4999a8a794 -> trunk/2a058bfecf4f4a47927b4eaae9324c4999a8a794
2025-11-03T16:21:59.4942590Z  * [new tag]                 trunk/2a5f87decf34b3d0ea7670238e2fd4620ed19e9f -> trunk/2a5f87decf34b3d0ea7670238e2fd4620ed19e9f
2025-11-03T16:21:59.4943868Z  * [new tag]                 trunk/2c9f877fa71c90a1313deeda4b4486d37e72a8a9 -> trunk/2c9f877fa71c90a1313deeda4b4486d37e72a8a9
2025-11-03T16:21:59.4945062Z  * [new tag]                 trunk/2ce894bb1d3e9698306b87091c900a72acac75ea -> trunk/2ce894bb1d3e9698306b87091c900a72acac75ea
2025-11-03T16:21:59.4946288Z  * [new tag]                 trunk/2dc56456cbb2645c37c3176b7d9a263933bdec27 -> trunk/2dc56456cbb2645c37c3176b7d9a263933bdec27
2025-11-03T16:21:59.4947528Z  * [new tag]                 trunk/2de4cf2102fdc35da00cc8070fdbcaf57198a576 -> trunk/2de4cf2102fdc35da00cc8070fdbcaf57198a576
2025-11-03T16:21:59.4948792Z  * [new tag]                 trunk/2df2c316e2929519a5bad029936e9e37ed637b12 -> trunk/2df2c316e2929519a5bad029936e9e37ed637b12
2025-11-03T16:21:59.4950183Z  * [new tag]                 trunk/30157d30f0e0db6a4fa7a2a3ea75e515645e36de -> trunk/30157d30f0e0db6a4fa7a2a3ea75e515645e36de
2025-11-03T16:21:59.4951898Z  * [new tag]                 trunk/3041ede082d3b0f33bec0cef5062eabc5173b446 -> trunk/3041ede082d3b0f33bec0cef5062eabc5173b446
2025-11-03T16:21:59.4953266Z  * [new tag]                 trunk/311ea0dec0c50f395e6dac7b3875e81ee243fceb -> trunk/311ea0dec0c50f395e6dac7b3875e81ee243fceb
2025-11-03T16:21:59.4954437Z  * [new tag]                 trunk/31e42eb732d32e71c9954d6b2104cf1d129370d5 -> trunk/31e42eb732d32e71c9954d6b2104cf1d129370d5
2025-11-03T16:21:59.4955795Z  * [new tag]                 trunk/32066772b3dee643b1657b8957f32b5ac8b1390a -> trunk/32066772b3dee643b1657b8957f32b5ac8b1390a
2025-11-03T16:21:59.4957034Z  * [new tag]                 trunk/32920926f07e573083ecf81a40c898f47f4df631 -> trunk/32920926f07e573083ecf81a40c898f47f4df631
2025-11-03T16:21:59.4958373Z  * [new tag]                 trunk/32fe4f681e2bfb2fdecf20027e29e1aeb6ad5297 -> trunk/32fe4f681e2bfb2fdecf20027e29e1aeb6ad5297
2025-11-03T16:21:59.4959827Z  * [new tag]                 trunk/335b5c7d4bf3295d517902370142f007ca024cd0 -> trunk/335b5c7d4bf3295d517902370142f007ca024cd0
2025-11-03T16:21:59.4961231Z  * [new tag]                 trunk/34d6ef7022be252ce18a9673f75eed1732dff22a -> trunk/34d6ef7022be252ce18a9673f75eed1732dff22a
2025-11-03T16:21:59.4962580Z  * [new tag]                 trunk/35f3572fa483a8edb101d5765564e1ae274f3d45 -> trunk/35f3572fa483a8edb101d5765564e1ae274f3d45
2025-11-03T16:21:59.4963895Z  * [new tag]                 trunk/365ed62f61dde7fc14dca2199692555e5d1abbe1 -> trunk/365ed62f61dde7fc14dca2199692555e5d1abbe1
2025-11-03T16:21:59.4965277Z  * [new tag]                 trunk/369f2d6951d4c12571eb03b95d74ef2f21296847 -> trunk/369f2d6951d4c12571eb03b95d74ef2f21296847
2025-11-03T16:21:59.4966529Z  * [new tag]                 trunk/36a48e7e6d2d01cd47f002140589a1ac2580ef3f -> trunk/36a48e7e6d2d01cd47f002140589a1ac2580ef3f
2025-11-03T16:21:59.4967940Z  * [new tag]                 trunk/3895ce093f3e71b768d032a28a949a9f390c0d00 -> trunk/3895ce093f3e71b768d032a28a949a9f390c0d00
2025-11-03T16:21:59.4969241Z  * [new tag]                 trunk/392acee68a5ca90279109df023583edaef73d50f -> trunk/392acee68a5ca90279109df023583edaef73d50f
2025-11-03T16:21:59.4970512Z  * [new tag]                 trunk/398775a43e9808205f75c81d36f5087117d3f3f4 -> trunk/398775a43e9808205f75c81d36f5087117d3f3f4
2025-11-03T16:21:59.4971881Z  * [new tag]                 trunk/398fdd32bbf7b5f8a2b67e637c8a2e46572d9f28 -> trunk/398fdd32bbf7b5f8a2b67e637c8a2e46572d9f28
2025-11-03T16:21:59.4973056Z  * [new tag]                 trunk/39e5cdddf7e57881c52473d1288a66f0222527e1 -> trunk/39e5cdddf7e57881c52473d1288a66f0222527e1
2025-11-03T16:21:59.4974382Z  * [new tag]                 trunk/3b4315940d371385674f957f810cb0f1ca0060bd -> trunk/3b4315940d371385674f957f810cb0f1ca0060bd
2025-11-03T16:21:59.4975628Z  * [new tag]                 trunk/3b5d38a3bc55c32232cee8cf87e492c965f276fd -> trunk/3b5d38a3bc55c32232cee8cf87e492c965f276fd
2025-11-03T16:21:59.4976927Z  * [new tag]                 trunk/3ca216ae172e35adde34a319a1a01faaf218e7c5 -> trunk/3ca216ae172e35adde34a319a1a01faaf218e7c5
2025-11-03T16:21:59.4978264Z  * [new tag]                 trunk/3cc5949dc2c6e588d42cff36121819a8539902a7 -> trunk/3cc5949dc2c6e588d42cff36121819a8539902a7
2025-11-03T16:21:59.4979573Z  * [new tag]                 trunk/3d4a2d8a93ad57e9fd1c4e5a03dd431dd0123bb3 -> trunk/3d4a2d8a93ad57e9fd1c4e5a03dd431dd0123bb3
2025-11-03T16:21:59.4980830Z  * [new tag]                 trunk/3d4ca228beb851e2f1cc24d8300804d5884973c1 -> trunk/3d4ca228beb851e2f1cc24d8300804d5884973c1
2025-11-03T16:21:59.4982138Z  * [new tag]                 trunk/3dc92d69ed40fd952244e54bbda0240928756654 -> trunk/3dc92d69ed40fd952244e54bbda0240928756654
2025-11-03T16:21:59.4983412Z  * [new tag]                 trunk/3eddf049221fc04c2ac9d4af53c00305484ef325 -> trunk/3eddf049221fc04c2ac9d4af53c00305484ef325
2025-11-03T16:21:59.4984676Z  * [new tag]                 trunk/3f1824742cac2ffb9a3afd90953c492c6c7f2f50 -> trunk/3f1824742cac2ffb9a3afd90953c492c6c7f2f50
2025-11-03T16:21:59.4985771Z  * [new tag]                 trunk/3f5401020b3fd66238a5eda31576b898d086e14e -> trunk/3f5401020b3fd66238a5eda31576b898d086e14e
2025-11-03T16:21:59.4987060Z  * [new tag]                 trunk/3f6538febd727b782e6e13cfd026a309fb14351d -> trunk/3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:21:59.4988455Z  * [new tag]                 trunk/3f69b4d9b46b1de627896c457bce1937e53d82e5 -> trunk/3f69b4d9b46b1de627896c457bce1937e53d82e5
2025-11-03T16:21:59.4989501Z  * [new tag]                 trunk/401c2f965726fda8f78b08f3745e11008b38e7bf -> trunk/401c2f965726fda8f78b08f3745e11008b38e7bf
2025-11-03T16:21:59.4990703Z  * [new tag]                 trunk/4295a9a1587cc62a3ef4ad9b1e552c78471d5664 -> trunk/4295a9a1587cc62a3ef4ad9b1e552c78471d5664
2025-11-03T16:21:59.4992035Z  * [new tag]                 trunk/4316df857c9e7f301142eb54d06a85a43f8d617b -> trunk/4316df857c9e7f301142eb54d06a85a43f8d617b
2025-11-03T16:21:59.4993345Z  * [new tag]                 trunk/43c30f607eeca0d3e9a26911d9c2131fc250eadd -> trunk/43c30f607eeca0d3e9a26911d9c2131fc250eadd
2025-11-03T16:21:59.4994640Z  * [new tag]                 trunk/45c3f02d69b0a8447381fbc3f3f8731ab0d48ed1 -> trunk/45c3f02d69b0a8447381fbc3f3f8731ab0d48ed1
2025-11-03T16:21:59.4995934Z  * [new tag]                 trunk/467c21ad9ae4133c20a3c098a0355e9ac20d48aa -> trunk/467c21ad9ae4133c20a3c098a0355e9ac20d48aa
2025-11-03T16:21:59.4997255Z  * [new tag]                 trunk/46d17e887150c5de8a74314b6d9fcba1feca259b -> trunk/46d17e887150c5de8a74314b6d9fcba1feca259b
2025-11-03T16:21:59.4998542Z  * [new tag]                 trunk/476b149a00cf52ceba2b2d8b6e14989d2bf540e2 -> trunk/476b149a00cf52ceba2b2d8b6e14989d2bf540e2
2025-11-03T16:21:59.4999653Z  * [new tag]                 trunk/47ec1e9990b89bf9705dc463cad587bd357bc848 -> trunk/47ec1e9990b89bf9705dc463cad587bd357bc848
2025-11-03T16:21:59.5000927Z  * [new tag]                 trunk/47f00243106918eec3ef9119272977fdf2864ad8 -> trunk/47f00243106918eec3ef9119272977fdf2864ad8
2025-11-03T16:21:59.5002192Z  * [new tag]                 trunk/47f50cfd456313d8b46fcc7a1f6de477aa0a5aee -> trunk/47f50cfd456313d8b46fcc7a1f6de477aa0a5aee
2025-11-03T16:21:59.5003296Z  * [new tag]                 trunk/483845a9c42267a6a139b7382e5ee340502376f8 -> trunk/483845a9c42267a6a139b7382e5ee340502376f8
2025-11-03T16:21:59.5004720Z  * [new tag]                 trunk/48c3b71ecc245cb422ec9ab4c7a2078f7ef0b3df -> trunk/48c3b71ecc245cb422ec9ab4c7a2078f7ef0b3df
2025-11-03T16:21:59.5006166Z  * [new tag]                 trunk/48e672d14994c912caccba0c7f2f5df54c0d86b3 -> trunk/48e672d14994c912caccba0c7f2f5df54c0d86b3
2025-11-03T16:21:59.5007460Z  * [new tag]                 trunk/4a7bc1d522bed4f3f792b4641372ec3d06b79b5d -> trunk/4a7bc1d522bed4f3f792b4641372ec3d06b79b5d
2025-11-03T16:21:59.5008731Z  * [new tag]                 trunk/4a7fefd7c783913b811f49e5d6242086758dca6c -> trunk/4a7fefd7c783913b811f49e5d6242086758dca6c
2025-11-03T16:21:59.5010003Z  * [new tag]                 trunk/4a94591321a62b31658f9259680de87e4be9e50d -> trunk/4a94591321a62b31658f9259680de87e4be9e50d
2025-11-03T16:21:59.5011239Z  * [new tag]                 trunk/4acc66f1192ab7743abcc50383aefc5447447f9d -> trunk/4acc66f1192ab7743abcc50383aefc5447447f9d
2025-11-03T16:21:59.5012516Z  * [new tag]                 trunk/4c38887346b6a6185bb3e170621dc13d5f34e9ce -> trunk/4c38887346b6a6185bb3e170621dc13d5f34e9ce
2025-11-03T16:21:59.5013883Z  * [new tag]                 trunk/4cc64d62346edb2e13320f20740f41ba41f64c70 -> trunk/4cc64d62346edb2e13320f20740f41ba41f64c70
2025-11-03T16:21:59.5015085Z  * [new tag]                 trunk/4e6afa8c07b73e0b339e3baacbc73102748e61dd -> trunk/4e6afa8c07b73e0b339e3baacbc73102748e61dd
2025-11-03T16:21:59.5016407Z  * [new tag]                 trunk/4e7232c5daf753e04e8f4189229e3c33888a33e5 -> trunk/4e7232c5daf753e04e8f4189229e3c33888a33e5
2025-11-03T16:21:59.5017691Z  * [new tag]                 trunk/4e8ba37ce3320cac033019131b817b4aca29699b -> trunk/4e8ba37ce3320cac033019131b817b4aca29699b
2025-11-03T16:21:59.5019094Z  * [new tag]                 trunk/4fada51ada8b3190971f2f47d97346057320866a -> trunk/4fada51ada8b3190971f2f47d97346057320866a
2025-11-03T16:21:59.5020400Z  * [new tag]                 trunk/5016e7b2eb73589e35c7a8f0f0ea3bfba221f17d -> trunk/5016e7b2eb73589e35c7a8f0f0ea3bfba221f17d
2025-11-03T16:21:59.5021878Z  * [new tag]                 trunk/51667435f50c025ca3655ff0eeb917b4ef0ffb78 -> trunk/51667435f50c025ca3655ff0eeb917b4ef0ffb78
2025-11-03T16:21:59.5023049Z  * [new tag]                 trunk/52db60170dd192afa48233f03574a8d8bcd39d35 -> trunk/52db60170dd192afa48233f03574a8d8bcd39d35
2025-11-03T16:21:59.5024377Z  * [new tag]                 trunk/544b443ea1d1a9b19e65f981168a01cb87a2d333 -> trunk/544b443ea1d1a9b19e65f981168a01cb87a2d333
2025-11-03T16:21:59.5025585Z  * [new tag]                 trunk/551921d484d209e9a95d77262b1472bc1d18422d -> trunk/551921d484d209e9a95d77262b1472bc1d18422d
2025-11-03T16:21:59.5026883Z  * [new tag]                 trunk/56838bad5f197d32c0ee77ce2eaa7a0cb462af68 -> trunk/56838bad5f197d32c0ee77ce2eaa7a0cb462af68
2025-11-03T16:21:59.5028118Z  * [new tag]                 trunk/56a809aa0765ec2edea57ab37f92b1e78a214dcc -> trunk/56a809aa0765ec2edea57ab37f92b1e78a214dcc
2025-11-03T16:21:59.5029477Z  * [new tag]                 trunk/56afad4eb300be2008d8b24581bcddcd62021036 -> trunk/56afad4eb300be2008d8b24581bcddcd62021036
2025-11-03T16:21:59.5030722Z  * [new tag]                 trunk/572cc12b42f6edf76affd45ea9a23f4c8db5c7e1 -> trunk/572cc12b42f6edf76affd45ea9a23f4c8db5c7e1
2025-11-03T16:21:59.5031974Z  * [new tag]                 trunk/5849eea129b47556630aac4276529afe287b91e1 -> trunk/5849eea129b47556630aac4276529afe287b91e1
2025-11-03T16:21:59.5033276Z  * [new tag]                 trunk/59ddfb69a731970bf5762fbea43ff2987425d3ea -> trunk/59ddfb69a731970bf5762fbea43ff2987425d3ea
2025-11-03T16:21:59.5035091Z  * [new tag]                 trunk/5a3930abbc19eac9a179455df82e206e69765ed2 -> trunk/5a3930abbc19eac9a179455df82e206e69765ed2
2025-11-03T16:21:59.5036399Z  * [new tag]                 trunk/5bcfdae71da2f405a89bace6b09d616107cc3965 -> trunk/5bcfdae71da2f405a89bace6b09d616107cc3965
2025-11-03T16:21:59.5037658Z  * [new tag]                 trunk/5cbdade914d6bc9f67827ef917974980a74e9372 -> trunk/5cbdade914d6bc9f67827ef917974980a74e9372
2025-11-03T16:21:59.5039099Z  * [new tag]                 trunk/5cdbcb52334222d1a2667dabd6da993d1e9ddc93 -> trunk/5cdbcb52334222d1a2667dabd6da993d1e9ddc93
2025-11-03T16:21:59.5040532Z  * [new tag]                 trunk/5d0b3e28dc18fac3c09edb24078998371f878f82 -> trunk/5d0b3e28dc18fac3c09edb24078998371f878f82
2025-11-03T16:21:59.5041902Z  * [new tag]                 trunk/5d288bc3f73873887f681e15af83c5525e6a60bd -> trunk/5d288bc3f73873887f681e15af83c5525e6a60bd
2025-11-03T16:21:59.5043135Z  * [new tag]                 trunk/5d6230779d920e9c449c22d22fd0f69fe7b73632 -> trunk/5d6230779d920e9c449c22d22fd0f69fe7b73632
2025-11-03T16:21:59.5044629Z  * [new tag]                 trunk/5e05a0ae99c320bc570a3a42c5fcd6bbf2b2e9b4 -> trunk/5e05a0ae99c320bc570a3a42c5fcd6bbf2b2e9b4
2025-11-03T16:21:59.5045814Z  * [new tag]                 trunk/5e7272b60a5d7203fd1d048ecac6f202526cac63 -> trunk/5e7272b60a5d7203fd1d048ecac6f202526cac63
2025-11-03T16:21:59.5047236Z  * [new tag]                 trunk/5e769ff86780a7ffd561615dbf4b0defe80cfbb9 -> trunk/5e769ff86780a7ffd561615dbf4b0defe80cfbb9
2025-11-03T16:21:59.5048578Z  * [new tag]                 trunk/5ebf74a655b3335fb079ee03f41228a77bcc630e -> trunk/5ebf74a655b3335fb079ee03f41228a77bcc630e
2025-11-03T16:21:59.5049912Z  * [new tag]                 trunk/5fc2c7a2a11444c31338da9134452810f3ca8acd -> trunk/5fc2c7a2a11444c31338da9134452810f3ca8acd
2025-11-03T16:21:59.5051226Z  * [new tag]                 trunk/5fd1d41e62ce4436c2bb08c7f4702df0021e2c62 -> trunk/5fd1d41e62ce4436c2bb08c7f4702df0021e2c62
2025-11-03T16:21:59.5052579Z  * [new tag]                 trunk/60333de85dec845d6a0e651764c16a730a27828d -> trunk/60333de85dec845d6a0e651764c16a730a27828d
2025-11-03T16:21:59.5053945Z  * [new tag]                 trunk/6096c0fc746dc99189510a1845fd45c667178c03 -> trunk/6096c0fc746dc99189510a1845fd45c667178c03
2025-11-03T16:21:59.5055273Z  * [new tag]                 trunk/60bcb4ee8844e7bac7278ff662c7d5735a326758 -> trunk/60bcb4ee8844e7bac7278ff662c7d5735a326758
2025-11-03T16:21:59.5056549Z  * [new tag]                 trunk/610c09f8f47585e811945e48abc895f88e09bda3 -> trunk/610c09f8f47585e811945e48abc895f88e09bda3
2025-11-03T16:21:59.5057972Z  * [new tag]                 trunk/61bad3c1ea718311d7c256b05614d207d73276e8 -> trunk/61bad3c1ea718311d7c256b05614d207d73276e8
2025-11-03T16:21:59.5059230Z  * [new tag]                 trunk/61bcc8d75ad065a40b2d7953046616d5979233b9 -> trunk/61bcc8d75ad065a40b2d7953046616d5979233b9
2025-11-03T16:21:59.5060768Z  * [new tag]                 trunk/6268883f9c081b88b611ef01be3821503ad180ca -> trunk/6268883f9c081b88b611ef01be3821503ad180ca
2025-11-03T16:21:59.5062058Z  * [new tag]                 trunk/629293f568229adaf60cdaf57fe69306d7782c2d -> trunk/629293f568229adaf60cdaf57fe69306d7782c2d
2025-11-03T16:21:59.5063453Z  * [new tag]                 trunk/639a0b12395e72a8a220dc8443317f4ab3b3f1a0 -> trunk/639a0b12395e72a8a220dc8443317f4ab3b3f1a0
2025-11-03T16:21:59.5064802Z  * [new tag]                 trunk/6530bc70fbc7d600ab0e600c02ecd9b341ce8237 -> trunk/6530bc70fbc7d600ab0e600c02ecd9b341ce8237
2025-11-03T16:21:59.5066136Z  * [new tag]                 trunk/657f8c3e21bd8901dd8ce79ca9a54a45b27f604f -> trunk/657f8c3e21bd8901dd8ce79ca9a54a45b27f604f
2025-11-03T16:21:59.5067482Z  * [new tag]                 trunk/65868156c613521e9635eb3f8eb3f404826ac1f9 -> trunk/65868156c613521e9635eb3f8eb3f404826ac1f9
2025-11-03T16:21:59.5068872Z  * [new tag]                 trunk/687c15c0b3f01118536413d21efcd052838fa10d -> trunk/687c15c0b3f01118536413d21efcd052838fa10d
2025-11-03T16:21:59.5070174Z  * [new tag]                 trunk/68b3984b77a19ed2b2afcbcae201e8b06e20f8bc -> trunk/68b3984b77a19ed2b2afcbcae201e8b06e20f8bc
2025-11-03T16:21:59.5071490Z  * [new tag]                 trunk/694d205143b03cb26626cb86ecb399df6d5e3dd8 -> trunk/694d205143b03cb26626cb86ecb399df6d5e3dd8
2025-11-03T16:21:59.5072850Z  * [new tag]                 trunk/694db5f54927697c9e914d35029f7e5bd9b85b96 -> trunk/694db5f54927697c9e914d35029f7e5bd9b85b96
2025-11-03T16:21:59.5074202Z  * [new tag]                 trunk/695cb0d342f67db563fb57ce1a5f3261b073b790 -> trunk/695cb0d342f67db563fb57ce1a5f3261b073b790
2025-11-03T16:21:59.5075592Z  * [new tag]                 trunk/69be99ee51bd0439fead4c83d1ed3eea9e1e073e -> trunk/69be99ee51bd0439fead4c83d1ed3eea9e1e073e
2025-11-03T16:21:59.5076909Z  * [new tag]                 trunk/69fb3ebb5dbec0bd4cfd73cc9a6c870b7f604840 -> trunk/69fb3ebb5dbec0bd4cfd73cc9a6c870b7f604840
2025-11-03T16:21:59.5078274Z  * [new tag]                 trunk/6a5a436624d08feff1de191e61eb4d4773f73bdb -> trunk/6a5a436624d08feff1de191e61eb4d4773f73bdb
2025-11-03T16:21:59.5079580Z  * [new tag]                 trunk/6c7cad697287dff7e47545ae4b1df1e407185868 -> trunk/6c7cad697287dff7e47545ae4b1df1e407185868
2025-11-03T16:21:59.5080877Z  * [new tag]                 trunk/6d5e651a5024acdbaf9633d9d1d9dc33c6a283c5 -> trunk/6d5e651a5024acdbaf9633d9d1d9dc33c6a283c5
2025-11-03T16:21:59.5082153Z  * [new tag]                 trunk/6ecd6b23b6d2ab17da269ceebe9f944153f67083 -> trunk/6ecd6b23b6d2ab17da269ceebe9f944153f67083
2025-11-03T16:21:59.5083446Z  * [new tag]                 trunk/7045aab143b6d89c2e7de11bc8cbf919d8fd78d0 -> trunk/7045aab143b6d89c2e7de11bc8cbf919d8fd78d0
2025-11-03T16:21:59.5084904Z  * [new tag]                 trunk/70aeb491987401a380914a72c1b9d19e4c882429 -> trunk/70aeb491987401a380914a72c1b9d19e4c882429
2025-11-03T16:21:59.5086076Z  * [new tag]                 trunk/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a -> trunk/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a
2025-11-03T16:21:59.5087293Z  * [new tag]                 trunk/73da7a40b6dd0509b179f0ca92d9fa79973ee306 -> trunk/73da7a40b6dd0509b179f0ca92d9fa79973ee306
2025-11-03T16:21:59.5088578Z  * [new tag]                 trunk/74336f8c77f1a906314c274e43239306c8077e90 -> trunk/74336f8c77f1a906314c274e43239306c8077e90
2025-11-03T16:21:59.5089970Z  * [new tag]                 trunk/748162223768fb9f7daaca1f7f93d0bc37be4de9 -> trunk/748162223768fb9f7daaca1f7f93d0bc37be4de9
2025-11-03T16:21:59.5091294Z  * [new tag]                 trunk/753d9bd8063356c0e31517ef9aabd814efd754c5 -> trunk/753d9bd8063356c0e31517ef9aabd814efd754c5
2025-11-03T16:21:59.5092818Z  * [new tag]                 trunk/7563f61cc8a40a5ba21a498a2d98895b4eec3f39 -> trunk/7563f61cc8a40a5ba21a498a2d98895b4eec3f39
2025-11-03T16:21:59.5094067Z  * [new tag]                 trunk/75f798e05b35cbdf1814673e745b9b7817bb29cd -> trunk/75f798e05b35cbdf1814673e745b9b7817bb29cd
2025-11-03T16:21:59.5095451Z  * [new tag]                 trunk/764c54ecaeb8b0da486b009f4d4ef1fa280e2517 -> trunk/764c54ecaeb8b0da486b009f4d4ef1fa280e2517
2025-11-03T16:21:59.5096644Z  * [new tag]                 trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:21:59.5097881Z  * [new tag]                 trunk/7692fa09cdd47fdbec66efca9edf42a318e6c6e4 -> trunk/7692fa09cdd47fdbec66efca9edf42a318e6c6e4
2025-11-03T16:21:59.5099190Z  * [new tag]                 trunk/76b2c37045e52540ec51e967aa7b6436a6b9b174 -> trunk/76b2c37045e52540ec51e967aa7b6436a6b9b174
2025-11-03T16:21:59.5100563Z  * [new tag]                 trunk/76bb27e248750fc558ec4ea9050e09a6f171e9bc -> trunk/76bb27e248750fc558ec4ea9050e09a6f171e9bc
2025-11-03T16:21:59.5101934Z  * [new tag]                 trunk/774abb018eb1d44c07fda9fa78549755ac7d4367 -> trunk/774abb018eb1d44c07fda9fa78549755ac7d4367
2025-11-03T16:21:59.5103255Z  * [new tag]                 trunk/791ca80d3a2ca72a77b5dedc75bbcbb35b859cfc -> trunk/791ca80d3a2ca72a77b5dedc75bbcbb35b859cfc
2025-11-03T16:21:59.5104673Z  * [new tag]                 trunk/797cd80b2670a51601f997f8c67387bd30440a36 -> trunk/797cd80b2670a51601f997f8c67387bd30440a36
2025-11-03T16:21:59.5105973Z  * [new tag]                 trunk/79aa88cc5dcc55597013cbe36f0e00557b185803 -> trunk/79aa88cc5dcc55597013cbe36f0e00557b185803
2025-11-03T16:21:59.5107143Z  * [new tag]                 trunk/79aee77381b21d41c77148e5ff84c4b351aaf144 -> trunk/79aee77381b21d41c77148e5ff84c4b351aaf144
2025-11-03T16:21:59.5108473Z  * [new tag]                 trunk/7a0cd8ed092a62123fcc1f4c40de2669f46fe2b1 -> trunk/7a0cd8ed092a62123fcc1f4c40de2669f46fe2b1
2025-11-03T16:21:59.5109801Z  * [new tag]                 trunk/7ae8aaf4c02e7cc14b2e3cce0c88a7333dff439c -> trunk/7ae8aaf4c02e7cc14b2e3cce0c88a7333dff439c
2025-11-03T16:21:59.5111118Z  * [new tag]                 trunk/7c203b8420d26bd707c6052f93a4ba77dca2b2c0 -> trunk/7c203b8420d26bd707c6052f93a4ba77dca2b2c0
2025-11-03T16:21:59.5112408Z  * [new tag]                 trunk/7ce723d21cc2a1a874f988f3459f0da834c75daa -> trunk/7ce723d21cc2a1a874f988f3459f0da834c75daa
2025-11-03T16:21:59.5113743Z  * [new tag]                 trunk/7d16fcf2df9b240895056107a015735774cbe4b5 -> trunk/7d16fcf2df9b240895056107a015735774cbe4b5
2025-11-03T16:21:59.5115126Z  * [new tag]                 trunk/7d39401fa07eb2f7782d8f234aa19f8b2abff481 -> trunk/7d39401fa07eb2f7782d8f234aa19f8b2abff481
2025-11-03T16:21:59.5116519Z  * [new tag]                 trunk/7d67a41db4801632d5862e99c79b766284dfd307 -> trunk/7d67a41db4801632d5862e99c79b766284dfd307
2025-11-03T16:21:59.5117915Z  * [new tag]                 trunk/7e3b9d105e3359e31fb252becb01d789a72dc8d9 -> trunk/7e3b9d105e3359e31fb252becb01d789a72dc8d9
2025-11-03T16:21:59.5119281Z  * [new tag]                 trunk/7f7a28046b5927ddbd8ef95d00aa1ca76f773bb1 -> trunk/7f7a28046b5927ddbd8ef95d00aa1ca76f773bb1
2025-11-03T16:21:59.5121052Z  * [new tag]                 trunk/80ba6e458ff2bd178da9ed62e27a61fe46e4252a -> trunk/80ba6e458ff2bd178da9ed62e27a61fe46e4252a
2025-11-03T16:21:59.5122439Z  * [new tag]                 trunk/8101fd46d4619d0f9ef69e5829d1ee6f77289b72 -> trunk/8101fd46d4619d0f9ef69e5829d1ee6f77289b72
2025-11-03T16:21:59.5123719Z  * [new tag]                 trunk/8110ce02a2830f562ed60607e30e2f29aed119dd -> trunk/8110ce02a2830f562ed60607e30e2f29aed119dd
2025-11-03T16:21:59.5125246Z  * [new tag]                 trunk/81fa4a204cf268bc55e96137fa803ae4938472cd -> trunk/81fa4a204cf268bc55e96137fa803ae4938472cd
2025-11-03T16:21:59.5126552Z  * [new tag]                 trunk/8209a0506b399b40a48716126ee22737aa4607c5 -> trunk/8209a0506b399b40a48716126ee22737aa4607c5
2025-11-03T16:21:59.5127864Z  * [new tag]                 trunk/8221ee6db9fd319c249087ad9bb9abaa7d56e113 -> trunk/8221ee6db9fd319c249087ad9bb9abaa7d56e113
2025-11-03T16:21:59.5129288Z  * [new tag]                 trunk/82d86bacf3c34760d6ab8a8a1eafa22d0ea259d9 -> trunk/82d86bacf3c34760d6ab8a8a1eafa22d0ea259d9
2025-11-03T16:21:59.5130731Z  * [new tag]                 trunk/82fafb3304f8baffdb2d54578926d8bb4aba621c -> trunk/82fafb3304f8baffdb2d54578926d8bb4aba621c
2025-11-03T16:21:59.5131923Z  * [new tag]                 trunk/82ff07c7884d478ddd5d638bebbb938e55c9bebf -> trunk/82ff07c7884d478ddd5d638bebbb938e55c9bebf
2025-11-03T16:21:59.5133198Z  * [new tag]                 trunk/83cc38d9c1b4371d4395bda8b6861b98986f527b -> trunk/83cc38d9c1b4371d4395bda8b6861b98986f527b
2025-11-03T16:21:59.5134392Z  * [new tag]                 trunk/840d63c12d255dac1ae3c5e442c6ea6eb87a7256 -> trunk/840d63c12d255dac1ae3c5e442c6ea6eb87a7256
2025-11-03T16:21:59.5135758Z  * [new tag]                 trunk/8417981c96b7577f0228226ccf76d23842173144 -> trunk/8417981c96b7577f0228226ccf76d23842173144
2025-11-03T16:21:59.5137044Z  * [new tag]                 trunk/845da9c8172b0e6e8b1e326359379dc6e9ddbddf -> trunk/845da9c8172b0e6e8b1e326359379dc6e9ddbddf
2025-11-03T16:21:59.5138318Z  * [new tag]                 trunk/84776e13744db6d59b41a063bb8714e2bffe7a06 -> trunk/84776e13744db6d59b41a063bb8714e2bffe7a06
2025-11-03T16:21:59.5139697Z  * [new tag]                 trunk/84a2715d341f068a26a281a252c3907bbe827d9b -> trunk/84a2715d341f068a26a281a252c3907bbe827d9b
2025-11-03T16:21:59.5141014Z  * [new tag]                 trunk/84fe84850383fc11e7150681742bf53f11cd425e -> trunk/84fe84850383fc11e7150681742bf53f11cd425e
2025-11-03T16:21:59.5142316Z  * [new tag]                 trunk/856a7a529872aa2d222e2491708cb458c682bb93 -> trunk/856a7a529872aa2d222e2491708cb458c682bb93
2025-11-03T16:21:59.5143635Z  * [new tag]                 trunk/85a7c745aa5a2428a7cc640ef4b304296fe07c42 -> trunk/85a7c745aa5a2428a7cc640ef4b304296fe07c42
2025-11-03T16:21:59.5145190Z  * [new tag]                 trunk/85b035ca9c230199d91ff86d362def01ad36dc67 -> trunk/85b035ca9c230199d91ff86d362def01ad36dc67
2025-11-03T16:21:59.5146553Z  * [new tag]                 trunk/85b85f6c2c7e6ca98abf9d9a38410d4b5703d64a -> trunk/85b85f6c2c7e6ca98abf9d9a38410d4b5703d64a
2025-11-03T16:21:59.5147860Z  * [new tag]                 trunk/877f126e353f537417c53bff073fc56d3faecd60 -> trunk/877f126e353f537417c53bff073fc56d3faecd60
2025-11-03T16:21:59.5149266Z  * [new tag]                 trunk/8887a33ede05c3e77286447a8ebd82b458878943 -> trunk/8887a33ede05c3e77286447a8ebd82b458878943
2025-11-03T16:21:59.5150443Z  * [new tag]                 trunk/895795f07cc0348ebe0b7e369d555b545d76eb9f -> trunk/895795f07cc0348ebe0b7e369d555b545d76eb9f
2025-11-03T16:21:59.5151785Z  * [new tag]                 trunk/8aa087a29dcb5eba4cffd6a452e7f327abfd14b2 -> trunk/8aa087a29dcb5eba4cffd6a452e7f327abfd14b2
2025-11-03T16:21:59.5153011Z  * [new tag]                 trunk/8af9ed08243222853cf8ebfc9177c5b1ea364d00 -> trunk/8af9ed08243222853cf8ebfc9177c5b1ea364d00
2025-11-03T16:21:59.5154456Z  * [new tag]                 trunk/8b188647cfdc1355070ccd5aaa18a8060d4f67bf -> trunk/8b188647cfdc1355070ccd5aaa18a8060d4f67bf
2025-11-03T16:21:59.5155663Z  * [new tag]                 trunk/8d4e48831e5abb6cbca8d97a2df6c47b770c303b -> trunk/8d4e48831e5abb6cbca8d97a2df6c47b770c303b
2025-11-03T16:21:59.5157055Z  * [new tag]                 trunk/8d599045cf4102e451a9e8a9ff215d053ebbe0e8 -> trunk/8d599045cf4102e451a9e8a9ff215d053ebbe0e8
2025-11-03T16:21:59.5158392Z  * [new tag]                 trunk/8e1e4ee8e0c43202085b47c9d2b05b2c0d13b368 -> trunk/8e1e4ee8e0c43202085b47c9d2b05b2c0d13b368
2025-11-03T16:21:59.5159714Z  * [new tag]                 trunk/8f40a0c634a65246889b478b7f14da7a448174a9 -> trunk/8f40a0c634a65246889b478b7f14da7a448174a9
2025-11-03T16:21:59.5161048Z  * [new tag]                 trunk/8f51556daa347041fc7ac06a832d2fdc62ca594d -> trunk/8f51556daa347041fc7ac06a832d2fdc62ca594d
2025-11-03T16:21:59.5162451Z  * [new tag]                 trunk/904abfc2ca285910b7b1458779bd9c63619f2f7d -> trunk/904abfc2ca285910b7b1458779bd9c63619f2f7d
2025-11-03T16:21:59.5163942Z  * [new tag]                 trunk/90519402c2006237f891289a0afdec804515aa73 -> trunk/90519402c2006237f891289a0afdec804515aa73
2025-11-03T16:21:59.5165515Z  * [new tag]                 trunk/90b30ebf7ecd7b0da9deeb35b165de9e28e90aff -> trunk/90b30ebf7ecd7b0da9deeb35b165de9e28e90aff
2025-11-03T16:21:59.5166799Z  * [new tag]                 trunk/90d7be35e980a39cb4044f8fefea33a6167e5733 -> trunk/90d7be35e980a39cb4044f8fefea33a6167e5733
2025-11-03T16:21:59.5168325Z  * [new tag]                 trunk/9139368b64ebcc32c8c1190fd114c7f4733e7c6d -> trunk/9139368b64ebcc32c8c1190fd114c7f4733e7c6d
2025-11-03T16:21:59.5169852Z  * [new tag]                 trunk/92381a5aa7c27b740d375dad2ff9ca7be3c1bc24 -> trunk/92381a5aa7c27b740d375dad2ff9ca7be3c1bc24
2025-11-03T16:21:59.5171233Z  * [new tag]                 trunk/924482a6f63305b0f00760170ad513305700b79c -> trunk/924482a6f63305b0f00760170ad513305700b79c
2025-11-03T16:21:59.5172559Z  * [new tag]                 trunk/9261a1fb128412201ef009d30844a2417364d73b -> trunk/9261a1fb128412201ef009d30844a2417364d73b
2025-11-03T16:21:59.5173924Z  * [new tag]                 trunk/93a70c717a5636505da0b4ccfbca0e111c88c6a8 -> trunk/93a70c717a5636505da0b4ccfbca0e111c88c6a8
2025-11-03T16:21:59.5175226Z  * [new tag]                 trunk/94eaeb9cb812744251cef11d147e93b00a633823 -> trunk/94eaeb9cb812744251cef11d147e93b00a633823
2025-11-03T16:21:59.5176438Z  * [new tag]                 trunk/94f2657c4b534136aa8958bc35d44ceac5ccd60c -> trunk/94f2657c4b534136aa8958bc35d44ceac5ccd60c
2025-11-03T16:21:59.5177983Z  * [new tag]                 trunk/9501405de686068c5d7d0e4eab21e3ef0b95cc73 -> trunk/9501405de686068c5d7d0e4eab21e3ef0b95cc73
2025-11-03T16:21:59.5179404Z  * [new tag]                 trunk/95b55347730b071d0b79df5ddd477db9c7f91fe4 -> trunk/95b55347730b071d0b79df5ddd477db9c7f91fe4
2025-11-03T16:21:59.5180539Z  * [new tag]                 trunk/96b61844a722d2ae8b1a2dc283a6c0060b40782e -> trunk/96b61844a722d2ae8b1a2dc283a6c0060b40782e
2025-11-03T16:21:59.5181963Z  * [new tag]                 trunk/972030fe2ef0a7500afb7acb86a5f971c30536b9 -> trunk/972030fe2ef0a7500afb7acb86a5f971c30536b9
2025-11-03T16:21:59.5183411Z  * [new tag]                 trunk/984e64b2cddecfe43501a7e01a1cce0c25473f54 -> trunk/984e64b2cddecfe43501a7e01a1cce0c25473f54
2025-11-03T16:21:59.5184673Z  * [new tag]                 trunk/98d640bb113a0b6a39c590bbe36873faeb71ceb0 -> trunk/98d640bb113a0b6a39c590bbe36873faeb71ceb0
2025-11-03T16:21:59.5185977Z  * [new tag]                 trunk/9901d4441862cc0be881f913e1a7f932f7cb0177 -> trunk/9901d4441862cc0be881f913e1a7f932f7cb0177
2025-11-03T16:21:59.5187439Z  * [new tag]                 trunk/9940e894ea9c4374691ec49eba96db0a3159a8ae -> trunk/9940e894ea9c4374691ec49eba96db0a3159a8ae
2025-11-03T16:21:59.5188810Z  * [new tag]                 trunk/9970fb97fff5fb5ab0f0f3acfa73558cc5c1618a -> trunk/9970fb97fff5fb5ab0f0f3acfa73558cc5c1618a
2025-11-03T16:21:59.5190254Z  * [new tag]                 trunk/99b05d1b786dc1f2448c23617bbb80d441a5d64a -> trunk/99b05d1b786dc1f2448c23617bbb80d441a5d64a
2025-11-03T16:21:59.5191609Z  * [new tag]                 trunk/99e07c39ec3e9cf4573da6e6737c3d0362bc6b13 -> trunk/99e07c39ec3e9cf4573da6e6737c3d0362bc6b13
2025-11-03T16:21:59.5192749Z  * [new tag]                 trunk/9a91486e453f300804c7031d0e904b0e2af7d802 -> trunk/9a91486e453f300804c7031d0e904b0e2af7d802
2025-11-03T16:21:59.5194148Z  * [new tag]                 trunk/9c22bbb2dce31b854e3387db77eaff501434f352 -> trunk/9c22bbb2dce31b854e3387db77eaff501434f352
2025-11-03T16:21:59.5195431Z  * [new tag]                 trunk/9d6597b1e9f95f4477e88c5bee473c2850c2e63f -> trunk/9d6597b1e9f95f4477e88c5bee473c2850c2e63f
2025-11-03T16:21:59.5196709Z  * [new tag]                 trunk/9ee1afbf66a6533c712956a3ba5e8f60c5875a74 -> trunk/9ee1afbf66a6533c712956a3ba5e8f60c5875a74
2025-11-03T16:21:59.5197973Z  * [new tag]                 trunk/9f9dbe0a9aa5e5c985f36ad6cc736b3fb3506056 -> trunk/9f9dbe0a9aa5e5c985f36ad6cc736b3fb3506056
2025-11-03T16:21:59.5199525Z  * [new tag]                 trunk/a04edcb27acc6e1dd0fc27233738e6dec718b109 -> trunk/a04edcb27acc6e1dd0fc27233738e6dec718b109
2025-11-03T16:21:59.5200460Z  * [new tag]                 trunk/a076b4d7ac09b7be59915a088b348bcbd952c8bd -> trunk/a076b4d7ac09b7be59915a088b348bcbd952c8bd
2025-11-03T16:21:59.5201980Z  * [new tag]                 trunk/a186aa8d6cc197054deba309605f4b75ca59899c -> trunk/a186aa8d6cc197054deba309605f4b75ca59899c
2025-11-03T16:21:59.5202976Z  * [new tag]                 trunk/a19e92d43355489c8d33325321e688a6e6182267 -> trunk/a19e92d43355489c8d33325321e688a6e6182267
2025-11-03T16:21:59.5204512Z  * [new tag]                 trunk/a1eb6b55387b6ae21cf9bcad76a471a2820fa1b0 -> trunk/a1eb6b55387b6ae21cf9bcad76a471a2820fa1b0
2025-11-03T16:21:59.5205837Z  * [new tag]                 trunk/a25818cf7ee2c0ed5c862dff214dc46a30211671 -> trunk/a25818cf7ee2c0ed5c862dff214dc46a30211671
2025-11-03T16:21:59.5207749Z  * [new tag]                 trunk/a2da69385abb4800732e698afacdddd78e9993aa -> trunk/a2da69385abb4800732e698afacdddd78e9993aa
2025-11-03T16:21:59.5208998Z  * [new tag]                 trunk/a3fe1825aa4d95707875ffa8f15fd00c3b94977d -> trunk/a3fe1825aa4d95707875ffa8f15fd00c3b94977d
2025-11-03T16:21:59.5210319Z  * [new tag]                 trunk/a4077b568f891f8cad948cc70cbb14043791d762 -> trunk/a4077b568f891f8cad948cc70cbb14043791d762
2025-11-03T16:21:59.5211562Z  * [new tag]                 trunk/a4a0378e6bb8afd774e4e253304cf3bf9d7e188a -> trunk/a4a0378e6bb8afd774e4e253304cf3bf9d7e188a
2025-11-03T16:21:59.5212902Z  * [new tag]                 trunk/a51f8772873bc91de8aad1ce865fe8d98a58aec7 -> trunk/a51f8772873bc91de8aad1ce865fe8d98a58aec7
2025-11-03T16:21:59.5214119Z  * [new tag]                 trunk/a5335263d32b5be2b2647661334d81225c3cc3fc -> trunk/a5335263d32b5be2b2647661334d81225c3cc3fc
2025-11-03T16:21:59.5215496Z  * [new tag]                 trunk/a553ea9ea4e71b66a58a1c3c37f18d67ffa4ecd3 -> trunk/a553ea9ea4e71b66a58a1c3c37f18d67ffa4ecd3
2025-11-03T16:21:59.5216701Z  * [new tag]                 trunk/a5c3c08d1099f96548398a637463efb0cbe115ae -> trunk/a5c3c08d1099f96548398a637463efb0cbe115ae
2025-11-03T16:21:59.5218034Z  * [new tag]                 trunk/a5f00077fc9623c762c755c926b7eee60eb0ec3f -> trunk/a5f00077fc9623c762c755c926b7eee60eb0ec3f
2025-11-03T16:21:59.5219426Z  * [new tag]                 trunk/a663eb9c80e92190832b3dd616f138f938f51525 -> trunk/a663eb9c80e92190832b3dd616f138f938f51525
2025-11-03T16:21:59.5220726Z  * [new tag]                 trunk/a6b1ef17173f56ba93ac97ff4384fa4060b5e41e -> trunk/a6b1ef17173f56ba93ac97ff4384fa4060b5e41e
2025-11-03T16:21:59.5222029Z  * [new tag]                 trunk/a76b59cc45a17b728d9da6f937c8a9ab537c657f -> trunk/a76b59cc45a17b728d9da6f937c8a9ab537c657f
2025-11-03T16:21:59.5223336Z  * [new tag]                 trunk/a77f5d9a005a789804fc4d5064036490db5f48fb -> trunk/a77f5d9a005a789804fc4d5064036490db5f48fb
2025-11-03T16:21:59.5224678Z  * [new tag]                 trunk/a7fd0b40018da3c692f74257fc9b1d8cc5c410ff -> trunk/a7fd0b40018da3c692f74257fc9b1d8cc5c410ff
2025-11-03T16:21:59.5225974Z  * [new tag]                 trunk/a988510c3396a668e92801c61b93f7b06219ad0e -> trunk/a988510c3396a668e92801c61b93f7b06219ad0e
2025-11-03T16:21:59.5227362Z  * [new tag]                 trunk/a9b29caeae77480abaee14c89cff19f2c23921a1 -> trunk/a9b29caeae77480abaee14c89cff19f2c23921a1
2025-11-03T16:21:59.5228723Z  * [new tag]                 trunk/aa9c96af041b26c9c55adac490f3449b98f27d06 -> trunk/aa9c96af041b26c9c55adac490f3449b98f27d06
2025-11-03T16:21:59.5230041Z  * [new tag]                 trunk/aab27b051a5e24e71931ef0386f9084d51347211 -> trunk/aab27b051a5e24e71931ef0386f9084d51347211
2025-11-03T16:21:59.5231362Z  * [new tag]                 trunk/ac841267a197e102e1800786b3f6bfcd068b3d85 -> trunk/ac841267a197e102e1800786b3f6bfcd068b3d85
2025-11-03T16:21:59.5232823Z  * [new tag]                 trunk/acd936cc1a53b3c97f1265b6e40e2c09ba0a182d -> trunk/acd936cc1a53b3c97f1265b6e40e2c09ba0a182d
2025-11-03T16:21:59.5234116Z  * [new tag]                 trunk/ad02bd13dfa017f69def846b265a566c4ec5cb3f -> trunk/ad02bd13dfa017f69def846b265a566c4ec5cb3f
2025-11-03T16:21:59.5235689Z  * [new tag]                 trunk/ad3a56ab9857905cdc8f62fb635d578982797c73 -> trunk/ad3a56ab9857905cdc8f62fb635d578982797c73
2025-11-03T16:21:59.5236967Z  * [new tag]                 trunk/ad559072db0cc68aad277380d20bacfdf0d944ac -> trunk/ad559072db0cc68aad277380d20bacfdf0d944ac
2025-11-03T16:21:59.5238224Z  * [new tag]                 trunk/add37bacda45d7de852dedee652346f2857df6fc -> trunk/add37bacda45d7de852dedee652346f2857df6fc
2025-11-03T16:21:59.5239511Z  * [new tag]                 trunk/adedf26e21d1ce835750c99464b3ffa0f6b38fd0 -> trunk/adedf26e21d1ce835750c99464b3ffa0f6b38fd0
2025-11-03T16:21:59.5240860Z  * [new tag]                 trunk/ae038f871b3cb91c36df3a9d4b0ffb4f35d20482 -> trunk/ae038f871b3cb91c36df3a9d4b0ffb4f35d20482
2025-11-03T16:21:59.5242198Z  * [new tag]                 trunk/afaaaa314cc9358a10e9b1986642d49c00773560 -> trunk/afaaaa314cc9358a10e9b1986642d49c00773560
2025-11-03T16:21:59.5243443Z  * [new tag]                 trunk/b060e5c131e9cf43ba6e9b5bda2cb5789c61de47 -> trunk/b060e5c131e9cf43ba6e9b5bda2cb5789c61de47
2025-11-03T16:21:59.5244929Z  * [new tag]                 trunk/b0831930edaa732dd73dc81223fc0a9f5fe6b956 -> trunk/b0831930edaa732dd73dc81223fc0a9f5fe6b956
2025-11-03T16:21:59.5246232Z  * [new tag]                 trunk/b09fb481e0fb00dc475f218e9b14660161b40a94 -> trunk/b09fb481e0fb00dc475f218e9b14660161b40a94
2025-11-03T16:21:59.5247535Z  * [new tag]                 trunk/b2a0f90501dd3a16a6ccaf4c49e1c10f6df4ce1d -> trunk/b2a0f90501dd3a16a6ccaf4c49e1c10f6df4ce1d
2025-11-03T16:21:59.5248788Z  * [new tag]                 trunk/b33762bd2f5f1b115f049d83bf553b08d1ffc97f -> trunk/b33762bd2f5f1b115f049d83bf553b08d1ffc97f
2025-11-03T16:21:59.5250121Z  * [new tag]                 trunk/b3861ac8e70a2334278c17f834880e2d45bbe7a9 -> trunk/b3861ac8e70a2334278c17f834880e2d45bbe7a9
2025-11-03T16:21:59.5251461Z  * [new tag]                 trunk/b4403bfc62ca97eec554cdf815baab1fe93057d9 -> trunk/b4403bfc62ca97eec554cdf815baab1fe93057d9
2025-11-03T16:21:59.5252842Z  * [new tag]                 trunk/b44423bbb43860c1e340cbebc9d101dc18031ecb -> trunk/b44423bbb43860c1e340cbebc9d101dc18031ecb
2025-11-03T16:21:59.5254226Z  * [new tag]                 trunk/b470e59c382649557c49d3c31b8dec1b036eb329 -> trunk/b470e59c382649557c49d3c31b8dec1b036eb329
2025-11-03T16:21:59.5255507Z  * [new tag]                 trunk/b5189e269e899a6ad9ddc4e2ce6f33029290af82 -> trunk/b5189e269e899a6ad9ddc4e2ce6f33029290af82
2025-11-03T16:21:59.5256885Z  * [new tag]                 trunk/b71966f67b2b688f9d71f1602bd3c52d413dacef -> trunk/b71966f67b2b688f9d71f1602bd3c52d413dacef
2025-11-03T16:21:59.5258196Z  * [new tag]                 trunk/b7d348a9074af70f34848298a4e7a7985b197742 -> trunk/b7d348a9074af70f34848298a4e7a7985b197742
2025-11-03T16:21:59.5259474Z  * [new tag]                 trunk/b903018c26217edca67c9023b104027aea377b83 -> trunk/b903018c26217edca67c9023b104027aea377b83
2025-11-03T16:21:59.5260820Z  * [new tag]                 trunk/b939de26d115d33d3cbc17dcf49dbdc1a84e9727 -> trunk/b939de26d115d33d3cbc17dcf49dbdc1a84e9727
2025-11-03T16:21:59.5262201Z  * [new tag]                 trunk/b9bcb37f40e72dc4c2fc1d9281175409fe474194 -> trunk/b9bcb37f40e72dc4c2fc1d9281175409fe474194
2025-11-03T16:21:59.5263526Z  * [new tag]                 trunk/ba71e9ca9ac21e6570b20353d0a67089ad32e442 -> trunk/ba71e9ca9ac21e6570b20353d0a67089ad32e442
2025-11-03T16:21:59.5264803Z  * [new tag]                 trunk/bb54296258854897058e8f158afa8efedc4fcf18 -> trunk/bb54296258854897058e8f158afa8efedc4fcf18
2025-11-03T16:21:59.5266096Z  * [new tag]                 trunk/bbb7d2270b6f647b97f8a9c1d4e69ddaf48ef661 -> trunk/bbb7d2270b6f647b97f8a9c1d4e69ddaf48ef661
2025-11-03T16:21:59.5267248Z  * [new tag]                 trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:21:59.5270178Z  * [new tag]                 trunk/bc5111cd8dc5167cbcbcb2c0f23e53e61a6e8ea5 -> trunk/bc5111cd8dc5167cbcbcb2c0f23e53e61a6e8ea5
2025-11-03T16:21:59.5271570Z  * [new tag]                 trunk/be283297100ab86123e74b7a8372995d32b140c8 -> trunk/be283297100ab86123e74b7a8372995d32b140c8
2025-11-03T16:21:59.5272901Z  * [new tag]                 trunk/bea89d60603ca33f1903e57db5c734a67535c26d -> trunk/bea89d60603ca33f1903e57db5c734a67535c26d
2025-11-03T16:21:59.5274246Z  * [new tag]                 trunk/bebabd7fce29ea49b9269aeaa9fe3f34a3e1127e -> trunk/bebabd7fce29ea49b9269aeaa9fe3f34a3e1127e
2025-11-03T16:21:59.5275361Z  * [new tag]                 trunk/bfb47ec50e09dc2921ba47fedf84a1e28ee991a7 -> trunk/bfb47ec50e09dc2921ba47fedf84a1e28ee991a7
2025-11-03T16:21:59.5276607Z  * [new tag]                 trunk/bfc2050db975e589795cd3eceaed2e83bf89ad35 -> trunk/bfc2050db975e589795cd3eceaed2e83bf89ad35
2025-11-03T16:21:59.5277619Z  * [new tag]                 trunk/c01636e1bc7338eecbcfd2c17fd3fa2cad836983 -> trunk/c01636e1bc7338eecbcfd2c17fd3fa2cad836983
2025-11-03T16:21:59.5279165Z  * [new tag]                 trunk/c0bbda37e8d74734b64421762eb365e620f258c1 -> trunk/c0bbda37e8d74734b64421762eb365e620f258c1
2025-11-03T16:21:59.5280589Z  * [new tag]                 trunk/c201a1cab1439bfcfaff7e4fdab0d6eeeb880a70 -> trunk/c201a1cab1439bfcfaff7e4fdab0d6eeeb880a70
2025-11-03T16:21:59.5281932Z  * [new tag]                 trunk/c2e3cc7aedb2e7d89443225c7cccd08a0f8a3587 -> trunk/c2e3cc7aedb2e7d89443225c7cccd08a0f8a3587
2025-11-03T16:21:59.5283220Z  * [new tag]                 trunk/c3047938a01c844c752e5462b05d180a04d438fd -> trunk/c3047938a01c844c752e5462b05d180a04d438fd
2025-11-03T16:21:59.5284689Z  * [new tag]                 trunk/c37802a8c4388160faa65f8bc9c29d98b4d2fb3c -> trunk/c37802a8c4388160faa65f8bc9c29d98b4d2fb3c
2025-11-03T16:21:59.5285944Z  * [new tag]                 trunk/c3b71d54995a16fd09c18a5da5d598a23388bbd6 -> trunk/c3b71d54995a16fd09c18a5da5d598a23388bbd6
2025-11-03T16:21:59.5287122Z  * [new tag]                 trunk/c3d205d5986824e72df353c9bf112dc9b2a3612a -> trunk/c3d205d5986824e72df353c9bf112dc9b2a3612a
2025-11-03T16:21:59.5288283Z  * [new tag]                 trunk/c3dc0c7089f3204c36961acc227a3ff503530094 -> trunk/c3dc0c7089f3204c36961acc227a3ff503530094
2025-11-03T16:21:59.5289573Z  * [new tag]                 trunk/c54e2c5b4138cb85412a74189d1f7f771ad1116e -> trunk/c54e2c5b4138cb85412a74189d1f7f771ad1116e
2025-11-03T16:21:59.5290643Z  * [new tag]                 trunk/c5701d0ab5f55b23243dd437f57e856970c45bb6 -> trunk/c5701d0ab5f55b23243dd437f57e856970c45bb6
2025-11-03T16:21:59.5292329Z  * [new tag]                 trunk/c58d0ad85dfbf026d5f21ee739c139407dc20e54 -> trunk/c58d0ad85dfbf026d5f21ee739c139407dc20e54
2025-11-03T16:21:59.5294113Z  * [new tag]                 trunk/c594950e867e420a6086190a88e4b8fbd687af91 -> trunk/c594950e867e420a6086190a88e4b8fbd687af91
2025-11-03T16:21:59.5295518Z  * [new tag]                 trunk/c6a02eae5b77758ee7ee0b1dfbcf20a8341914a7 -> trunk/c6a02eae5b77758ee7ee0b1dfbcf20a8341914a7
2025-11-03T16:21:59.5296630Z  * [new tag]                 trunk/c8adc08b3b19b838dcdc71f2055600f420e6a91b -> trunk/c8adc08b3b19b838dcdc71f2055600f420e6a91b
2025-11-03T16:21:59.5298332Z  * [new tag]                 trunk/c9eabadc5e964678556a6bfcde455a5e11dc0785 -> trunk/c9eabadc5e964678556a6bfcde455a5e11dc0785
2025-11-03T16:21:59.5299630Z  * [new tag]                 trunk/cb6966704cf70ebac6d2b36b65e9a75e11c29e71 -> trunk/cb6966704cf70ebac6d2b36b65e9a75e11c29e71
2025-11-03T16:21:59.5300845Z  * [new tag]                 trunk/cde81e92b95eee9af2879c9c75f7b03699ca72ad -> trunk/cde81e92b95eee9af2879c9c75f7b03699ca72ad
2025-11-03T16:21:59.5301869Z  * [new tag]                 trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac -> trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:21:59.5303371Z  * [new tag]                 trunk/cf7756da385e03c169f7e6a5b5ff2c0e29b2814a -> trunk/cf7756da385e03c169f7e6a5b5ff2c0e29b2814a
2025-11-03T16:21:59.5304739Z  * [new tag]                 trunk/cf9a834f39d6c3b769381cc1321bcb5c54132415 -> trunk/cf9a834f39d6c3b769381cc1321bcb5c54132415
2025-11-03T16:21:59.5305991Z  * [new tag]                 trunk/d049ed2cb1619c44279cb716b8a1d94e4df3b372 -> trunk/d049ed2cb1619c44279cb716b8a1d94e4df3b372
2025-11-03T16:21:59.5307407Z  * [new tag]                 trunk/d17790072381f0e76e177ae4093504a6908a5a4d -> trunk/d17790072381f0e76e177ae4093504a6908a5a4d
2025-11-03T16:21:59.5308636Z  * [new tag]                 trunk/d1a6e006e090b1365e6653853982f175cca452e8 -> trunk/d1a6e006e090b1365e6653853982f175cca452e8
2025-11-03T16:21:59.5309826Z  * [new tag]                 trunk/d2be06f673ff11e59b234156dccaad2dc22c7746 -> trunk/d2be06f673ff11e59b234156dccaad2dc22c7746
2025-11-03T16:21:59.5311501Z  * [new tag]                 trunk/d2eff5d454ab2cb0a5ccdfb5eb6e7d6dcc75e097 -> trunk/d2eff5d454ab2cb0a5ccdfb5eb6e7d6dcc75e097
2025-11-03T16:21:59.5312909Z  * [new tag]                 trunk/d3be06cbdca4b2a9cd8ae35926b3f20b1bed1fe2 -> trunk/d3be06cbdca4b2a9cd8ae35926b3f20b1bed1fe2
2025-11-03T16:21:59.5314665Z  * [new tag]                 trunk/d3e511f07c0b1fc6df22347aec7f8e700bdb0d24 -> trunk/d3e511f07c0b1fc6df22347aec7f8e700bdb0d24
2025-11-03T16:21:59.5315986Z  * [new tag]                 trunk/d401e4e70a1dd19733d3e3c84affc4884605efb4 -> trunk/d401e4e70a1dd19733d3e3c84affc4884605efb4
2025-11-03T16:21:59.5317248Z  * [new tag]                 trunk/d46d8d6f54b15ded4f2483c7bde31be124281ab8 -> trunk/d46d8d6f54b15ded4f2483c7bde31be124281ab8
2025-11-03T16:21:59.5318386Z  * [new tag]                 trunk/d6d6fa26f540c10c57ac80547a9475e9f4c201f2 -> trunk/d6d6fa26f540c10c57ac80547a9475e9f4c201f2
2025-11-03T16:21:59.5319771Z  * [new tag]                 trunk/d7040e6d7515cea485824d2b810bea94e5958dea -> trunk/d7040e6d7515cea485824d2b810bea94e5958dea
2025-11-03T16:21:59.5321081Z  * [new tag]                 trunk/d80ae738c9c1810b30a88233bdcd34cae16c5c6e -> trunk/d80ae738c9c1810b30a88233bdcd34cae16c5c6e
2025-11-03T16:21:59.5322362Z  * [new tag]                 trunk/d8283a317a335c628c4541c6a60e102fdead57b7 -> trunk/d8283a317a335c628c4541c6a60e102fdead57b7
2025-11-03T16:21:59.5323852Z  * [new tag]                 trunk/d9483d4c8d3f220ad505afd05606e068184896a4 -> trunk/d9483d4c8d3f220ad505afd05606e068184896a4
2025-11-03T16:21:59.5325113Z  * [new tag]                 trunk/d962bed15798961ffd10e64068f86a2cec411ffb -> trunk/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:21:59.5326335Z  * [new tag]                 trunk/d97144d31ef42e762ce65f467cbaf065edb241cc -> trunk/d97144d31ef42e762ce65f467cbaf065edb241cc
2025-11-03T16:21:59.5327761Z  * [new tag]                 trunk/dc011d3203b24ebf1f78ab8dd64766205e64d8ec -> trunk/dc011d3203b24ebf1f78ab8dd64766205e64d8ec
2025-11-03T16:21:59.5329065Z  * [new tag]                 trunk/dd1fe7c22f8eee3984a22663636b0d1403b079ba -> trunk/dd1fe7c22f8eee3984a22663636b0d1403b079ba
2025-11-03T16:21:59.5330425Z  * [new tag]                 trunk/deb776319b12cad7fffb5cf9d8851a50e2b0e9ea -> trunk/deb776319b12cad7fffb5cf9d8851a50e2b0e9ea
2025-11-03T16:21:59.5331674Z  * [new tag]                 trunk/defac66e39c60f867795346ded171366ed682ee3 -> trunk/defac66e39c60f867795346ded171366ed682ee3
2025-11-03T16:21:59.5333031Z  * [new tag]                 trunk/df71b7072799c451a008cb36142dfdb1487f0d5e -> trunk/df71b7072799c451a008cb36142dfdb1487f0d5e
2025-11-03T16:21:59.5334140Z  * [new tag]                 trunk/dfebdcab86acbaa0eaa996b47595e5f27a66492e -> trunk/dfebdcab86acbaa0eaa996b47595e5f27a66492e
2025-11-03T16:21:59.5335395Z  * [new tag]                 trunk/e0604d3170f1123ebacbced66be400c7f162621f -> trunk/e0604d3170f1123ebacbced66be400c7f162621f
2025-11-03T16:21:59.5336694Z  * [new tag]                 trunk/e0791fc11dc0024a828495985898b29120dcc4c1 -> trunk/e0791fc11dc0024a828495985898b29120dcc4c1
2025-11-03T16:21:59.5338009Z  * [new tag]                 trunk/e0ca3049c0c7726747094f47f80cadcfad51320d -> trunk/e0ca3049c0c7726747094f47f80cadcfad51320d
2025-11-03T16:21:59.5339360Z  * [new tag]                 trunk/e105a475756ae6dd45c8134bd4583afc57ee416e -> trunk/e105a475756ae6dd45c8134bd4583afc57ee416e
2025-11-03T16:21:59.5340748Z  * [new tag]                 trunk/e137cd0a1046ead2ca9d631f427655adced606c2 -> trunk/e137cd0a1046ead2ca9d631f427655adced606c2
2025-11-03T16:21:59.5342183Z  * [new tag]                 trunk/e1d011d6eb571cd98ec7c7ed8e8b518a5463ec97 -> trunk/e1d011d6eb571cd98ec7c7ed8e8b518a5463ec97
2025-11-03T16:21:59.5343227Z  * [new tag]                 trunk/e214af6ae8e613485ac3dac3e2094cf53dfc3c1d -> trunk/e214af6ae8e613485ac3dac3e2094cf53dfc3c1d
2025-11-03T16:21:59.5344641Z  * [new tag]                 trunk/e2dc32f4baf853e6171777aed530fc83bcdb35ae -> trunk/e2dc32f4baf853e6171777aed530fc83bcdb35ae
2025-11-03T16:21:59.5345969Z  * [new tag]                 trunk/e380028a51c38de80b8888d027c63e290a773651 -> trunk/e380028a51c38de80b8888d027c63e290a773651
2025-11-03T16:21:59.5347272Z  * [new tag]                 trunk/e3ae0594d16134632ff587c9ab400d4148c83e9f -> trunk/e3ae0594d16134632ff587c9ab400d4148c83e9f
2025-11-03T16:21:59.5348422Z  * [new tag]                 trunk/e3e93c7107830c13f4139c3a62fda62c6b84bbf5 -> trunk/e3e93c7107830c13f4139c3a62fda62c6b84bbf5
2025-11-03T16:21:59.5349780Z  * [new tag]                 trunk/e4043884c734a3947f4c8da0cfbba43fc6319f3d -> trunk/e4043884c734a3947f4c8da0cfbba43fc6319f3d
2025-11-03T16:21:59.5350894Z  * [new tag]                 trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:21:59.5352301Z  * [new tag]                 trunk/e83be7042e809ef51c67f53d83ac45794447c73f -> trunk/e83be7042e809ef51c67f53d83ac45794447c73f
2025-11-03T16:21:59.5353652Z  * [new tag]                 trunk/e8d887ae3fceb97283bc2d751621b9615524b4b7 -> trunk/e8d887ae3fceb97283bc2d751621b9615524b4b7
2025-11-03T16:21:59.5355081Z  * [new tag]                 trunk/e8fadba28cc225782ddce1bf0ef8315ee1743761 -> trunk/e8fadba28cc225782ddce1bf0ef8315ee1743761
2025-11-03T16:21:59.5356366Z  * [new tag]                 trunk/e95920e3e6f9d8218c6aed2b8b6ce9b838a49104 -> trunk/e95920e3e6f9d8218c6aed2b8b6ce9b838a49104
2025-11-03T16:21:59.5357607Z  * [new tag]                 trunk/ea698e8bfcd2ec1820b3ba90b9c47416a33348de -> trunk/ea698e8bfcd2ec1820b3ba90b9c47416a33348de
2025-11-03T16:21:59.5359105Z  * [new tag]                 trunk/eae701cad03feb87908107cb5246d9e13a9d426e -> trunk/eae701cad03feb87908107cb5246d9e13a9d426e
2025-11-03T16:21:59.5360420Z  * [new tag]                 trunk/eb2bad5bb54df8a2563f2619819e9e689e0ba10e -> trunk/eb2bad5bb54df8a2563f2619819e9e689e0ba10e
2025-11-03T16:21:59.5361739Z  * [new tag]                 trunk/ebb2b2e894a4ede8efc5f5fff068d4ac9972f77a -> trunk/ebb2b2e894a4ede8efc5f5fff068d4ac9972f77a
2025-11-03T16:21:59.5363105Z  * [new tag]                 trunk/ee7434be822cf6e75b4566d8159f550ee233d8ae -> trunk/ee7434be822cf6e75b4566d8159f550ee233d8ae
2025-11-03T16:21:59.5364568Z  * [new tag]                 trunk/ef8d97efcf05e1f3a05ad5ce3444e3af42481505 -> trunk/ef8d97efcf05e1f3a05ad5ce3444e3af42481505
2025-11-03T16:21:59.5365556Z  * [new tag]                 trunk/f013e804c876a34cbc86a6a475597e3e29812883 -> trunk/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:21:59.5367046Z  * [new tag]                 trunk/f02708c2be66c7cf0edec52663de69f66ba4b1df -> trunk/f02708c2be66c7cf0edec52663de69f66ba4b1df
2025-11-03T16:21:59.5368548Z  * [new tag]                 trunk/f0745ddb11ab66a8bb4de8031bd7e9dccba19379 -> trunk/f0745ddb11ab66a8bb4de8031bd7e9dccba19379
2025-11-03T16:21:59.5369897Z  * [new tag]                 trunk/f167fd09fabf3f5be63cd31451f29d49796c14e8 -> trunk/f167fd09fabf3f5be63cd31451f29d49796c14e8
2025-11-03T16:21:59.5371163Z  * [new tag]                 trunk/f1a34407152302812bf633360cd29e9fba8de71e -> trunk/f1a34407152302812bf633360cd29e9fba8de71e
2025-11-03T16:21:59.5372456Z  * [new tag]                 trunk/f1af679270392c83e03808c8af5e2cbe3cdf16ce -> trunk/f1af679270392c83e03808c8af5e2cbe3cdf16ce
2025-11-03T16:21:59.5373870Z  * [new tag]                 trunk/f1e4c42b6ef3d3cea08ab3babb693e3ce42cf08b -> trunk/f1e4c42b6ef3d3cea08ab3babb693e3ce42cf08b
2025-11-03T16:21:59.5375151Z  * [new tag]                 trunk/f20bf778746a7662a9bdbd2fa49d326772ca90ed -> trunk/f20bf778746a7662a9bdbd2fa49d326772ca90ed
2025-11-03T16:21:59.5376461Z  * [new tag]                 trunk/f2450798cd6f30b811f6d8256da0c271cad2285c -> trunk/f2450798cd6f30b811f6d8256da0c271cad2285c
2025-11-03T16:21:59.5377961Z  * [new tag]                 trunk/f2c81635c85bf8d1c523d6b17f8016ad78ea02e2 -> trunk/f2c81635c85bf8d1c523d6b17f8016ad78ea02e2
2025-11-03T16:21:59.5379539Z  * [new tag]                 trunk/f33abae6957b8ef56268ce22e660d3ed3111c7c3 -> trunk/f33abae6957b8ef56268ce22e660d3ed3111c7c3
2025-11-03T16:21:59.5380895Z  * [new tag]                 trunk/f36f372acc28062e0988d84699c62689b0d89a6e -> trunk/f36f372acc28062e0988d84699c62689b0d89a6e
2025-11-03T16:21:59.5382220Z  * [new tag]                 trunk/f452edd782fb7342e2a5740cea9b78135e714858 -> trunk/f452edd782fb7342e2a5740cea9b78135e714858
2025-11-03T16:21:59.5383592Z  * [new tag]                 trunk/f4d05feb7a5f9191509e1e539ea210fcbe538b32 -> trunk/f4d05feb7a5f9191509e1e539ea210fcbe538b32
2025-11-03T16:21:59.5384888Z  * [new tag]                 trunk/f5543e3741bbfba4579afc3b49d0720f2eee7e4d -> trunk/f5543e3741bbfba4579afc3b49d0720f2eee7e4d
2025-11-03T16:21:59.5386114Z  * [new tag]                 trunk/f5cb9a4c68d9271c58ef4d3257210984b8e85099 -> trunk/f5cb9a4c68d9271c58ef4d3257210984b8e85099
2025-11-03T16:21:59.5387439Z  * [new tag]                 trunk/f60751024ecac57840a2d25132d0c1562351e66e -> trunk/f60751024ecac57840a2d25132d0c1562351e66e
2025-11-03T16:21:59.5388712Z  * [new tag]                 trunk/f6951cb8ea1ef96a33627734eb68b5dc7a04b6ed -> trunk/f6951cb8ea1ef96a33627734eb68b5dc7a04b6ed
2025-11-03T16:21:59.5390067Z  * [new tag]                 trunk/f89a7e9fe80fb0f74af52bad892e1afafa57be9c -> trunk/f89a7e9fe80fb0f74af52bad892e1afafa57be9c
2025-11-03T16:21:59.5391396Z  * [new tag]                 trunk/f8b4c002940d96ba2afc14ac4cf0b5277776bc02 -> trunk/f8b4c002940d96ba2afc14ac4cf0b5277776bc02
2025-11-03T16:21:59.5392690Z  * [new tag]                 trunk/f911d64750efb22097eef5505552a7669a0c53de -> trunk/f911d64750efb22097eef5505552a7669a0c53de
2025-11-03T16:21:59.5394058Z  * [new tag]                 trunk/f91899ca6c15d611c453591527e1be8b43e5d4ea -> trunk/f91899ca6c15d611c453591527e1be8b43e5d4ea
2025-11-03T16:21:59.5395401Z  * [new tag]                 trunk/f93ea7dab190fa0953b7a4921b76993cadafc7c9 -> trunk/f93ea7dab190fa0953b7a4921b76993cadafc7c9
2025-11-03T16:21:59.5396722Z  * [new tag]                 trunk/fa4cb918462d3cbe7cf48db7c1498824c1ca1cc4 -> trunk/fa4cb918462d3cbe7cf48db7c1498824c1ca1cc4
2025-11-03T16:21:59.5397902Z  * [new tag]                 trunk/fa560e1158b496d1c37ca2a2443a0b7f5a08dad5 -> trunk/fa560e1158b496d1c37ca2a2443a0b7f5a08dad5
2025-11-03T16:21:59.5399345Z  * [new tag]                 trunk/fa8e073a4e17f12e7e4bb0b26471179d2ca57471 -> trunk/fa8e073a4e17f12e7e4bb0b26471179d2ca57471
2025-11-03T16:21:59.5400654Z  * [new tag]                 trunk/fb545fb0686c94cc017c15ca7e342996b49edb81 -> trunk/fb545fb0686c94cc017c15ca7e342996b49edb81
2025-11-03T16:21:59.5401973Z  * [new tag]                 trunk/fc540cefd498f1001a5fc7a4f187080628b27839 -> trunk/fc540cefd498f1001a5fc7a4f187080628b27839
2025-11-03T16:21:59.5403270Z  * [new tag]                 trunk/fc8ac1216c61d8736f45a58825abf58e7d51e088 -> trunk/fc8ac1216c61d8736f45a58825abf58e7d51e088
2025-11-03T16:21:59.5404821Z  * [new tag]                 trunk/fcc10635660ceb619f78d06eaaa8b3c0bdd52ab8 -> trunk/fcc10635660ceb619f78d06eaaa8b3c0bdd52ab8
2025-11-03T16:21:59.5406169Z  * [new tag]                 trunk/fcd5f8c352b5b75bd32e57fa044ec5df095032da -> trunk/fcd5f8c352b5b75bd32e57fa044ec5df095032da
2025-11-03T16:21:59.5407513Z  * [new tag]                 trunk/fd5da81fdd76c0a78ef935d077a93b48b78fca3a -> trunk/fd5da81fdd76c0a78ef935d077a93b48b78fca3a
2025-11-03T16:21:59.5408775Z  * [new tag]                 trunk/fd68d409ada709450ced3030bde89ec662a3f7b7 -> trunk/fd68d409ada709450ced3030bde89ec662a3f7b7
2025-11-03T16:21:59.5409922Z  * [new tag]                 trunk/fea819ed080175f9a93205cc9074022bfa486325 -> trunk/fea819ed080175f9a93205cc9074022bfa486325
2025-11-03T16:21:59.5411287Z  * [new tag]                 trunk/fee1ac927d66fce67f862311292dcc325b8def44 -> trunk/fee1ac927d66fce67f862311292dcc325b8def44
2025-11-03T16:21:59.5424491Z  * [new tag]                 trunk/fee7624bd66e64f575c1396fcaaa54cabce49ca4 -> trunk/fee7624bd66e64f575c1396fcaaa54cabce49ca4
2025-11-03T16:21:59.5424881Z  * [new tag]                 trunk/fefb546b9100614da1fa703e12651bc115059f02 -> trunk/fefb546b9100614da1fa703e12651bc115059f02
2025-11-03T16:21:59.5425186Z  * [new tag]                 trunk/ff46d5a79bec09d9ae334d325f5f8cc89306b536 -> trunk/ff46d5a79bec09d9ae334d325f5f8cc89306b536
2025-11-03T16:21:59.5425471Z  * [new tag]                 trunk/ffaa6578b7a641b1ac1fcf451f04cf5e1212c9fe -> trunk/ffaa6578b7a641b1ac1fcf451f04cf5e1212c9fe
2025-11-03T16:21:59.5425591Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-11-03T16:21:59.5425697Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-11-03T16:21:59.5425793Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-11-03T16:21:59.5425890Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-11-03T16:21:59.5425991Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-11-03T16:21:59.5426089Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-11-03T16:21:59.5426186Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-11-03T16:21:59.5426284Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-11-03T16:21:59.5427560Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-11-03T16:21:59.5428902Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-11-03T16:21:59.5429935Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-11-03T16:21:59.5431015Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-11-03T16:21:59.5432522Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-11-03T16:21:59.5433581Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-11-03T16:21:59.5435056Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-11-03T16:21:59.5436056Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-11-03T16:21:59.5437255Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-11-03T16:21:59.5438438Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-11-03T16:21:59.5439716Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-11-03T16:21:59.5440999Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-11-03T16:21:59.5442262Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-11-03T16:21:59.5443154Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-11-03T16:21:59.5444713Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-11-03T16:21:59.5445947Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-11-03T16:21:59.5447294Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-11-03T16:21:59.5448620Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-11-03T16:21:59.5449922Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-11-03T16:21:59.5450833Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-11-03T16:21:59.5452224Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-11-03T16:21:59.5453173Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-11-03T16:21:59.5454482Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-11-03T16:21:59.5455199Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-11-03T16:21:59.5456653Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-11-03T16:21:59.5457878Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-11-03T16:21:59.5459196Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-11-03T16:21:59.5460462Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-11-03T16:21:59.5461828Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-11-03T16:21:59.5463048Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-11-03T16:21:59.5464192Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-11-03T16:21:59.5465223Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-11-03T16:21:59.5466429Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-11-03T16:21:59.5467614Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-11-03T16:21:59.5469374Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-11-03T16:21:59.5470687Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-11-03T16:21:59.5471944Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-11-03T16:21:59.5473154Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-11-03T16:21:59.5474492Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-11-03T16:21:59.5475962Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-11-03T16:21:59.5477008Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-11-03T16:21:59.5478062Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-11-03T16:21:59.5479343Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-11-03T16:21:59.5480569Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-11-03T16:21:59.5481861Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-11-03T16:21:59.5483158Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-11-03T16:21:59.5484396Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-11-03T16:21:59.5485616Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-11-03T16:21:59.5486831Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-11-03T16:21:59.5488126Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-11-03T16:21:59.5489331Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-11-03T16:21:59.5490617Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-11-03T16:21:59.5491691Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-11-03T16:21:59.5492800Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-11-03T16:21:59.5494092Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-11-03T16:21:59.5495223Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-11-03T16:21:59.5496420Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-11-03T16:21:59.5497702Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-11-03T16:21:59.5498861Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-11-03T16:21:59.5500125Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-11-03T16:21:59.5501184Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-11-03T16:21:59.5502401Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-11-03T16:21:59.5503788Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-11-03T16:21:59.5504835Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-11-03T16:21:59.5506005Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-11-03T16:21:59.5507389Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-11-03T16:21:59.5508715Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-11-03T16:21:59.5509988Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-11-03T16:21:59.5511139Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-11-03T16:21:59.5512343Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-11-03T16:21:59.5513653Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-11-03T16:21:59.5514688Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-11-03T16:21:59.5515732Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-11-03T16:21:59.5516918Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-11-03T16:21:59.5518238Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-11-03T16:21:59.5519491Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-11-03T16:21:59.5520713Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-11-03T16:21:59.5521974Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-11-03T16:21:59.5523219Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-11-03T16:21:59.5524370Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-11-03T16:21:59.5525634Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-11-03T16:21:59.5526868Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-11-03T16:21:59.5528247Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-11-03T16:21:59.5529422Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-11-03T16:21:59.5530498Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-11-03T16:21:59.5531751Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-11-03T16:21:59.5533121Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-11-03T16:21:59.5534313Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-11-03T16:21:59.5535402Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-11-03T16:21:59.5536683Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-11-03T16:21:59.5537809Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-11-03T16:21:59.5538981Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-11-03T16:21:59.5540213Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-11-03T16:21:59.5541407Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-11-03T16:21:59.5542548Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-11-03T16:21:59.5543622Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-11-03T16:21:59.5544975Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-11-03T16:21:59.5546075Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-11-03T16:21:59.5547125Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-11-03T16:21:59.5548788Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-11-03T16:21:59.5549930Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-11-03T16:21:59.5551229Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-11-03T16:21:59.5552495Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-11-03T16:21:59.5554161Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-11-03T16:21:59.5555444Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-11-03T16:21:59.5556610Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-11-03T16:21:59.5557987Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-11-03T16:21:59.5559410Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-11-03T16:21:59.5560489Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-11-03T16:21:59.5561735Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-11-03T16:21:59.5563085Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-11-03T16:21:59.5564409Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-11-03T16:21:59.5565627Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-11-03T16:21:59.5566935Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-11-03T16:21:59.5568418Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-11-03T16:21:59.5571402Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-11-03T16:21:59.5572688Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-11-03T16:21:59.5573986Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-11-03T16:21:59.5575105Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-11-03T16:21:59.5576256Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-11-03T16:21:59.5577331Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-11-03T16:21:59.5578932Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-11-03T16:21:59.5580184Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-11-03T16:21:59.5581451Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-11-03T16:21:59.5582748Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-11-03T16:21:59.5584050Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-11-03T16:21:59.5585442Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-11-03T16:21:59.5586670Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-11-03T16:21:59.5587918Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-11-03T16:21:59.5589218Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-11-03T16:21:59.5590470Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-11-03T16:21:59.5591804Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-11-03T16:21:59.5593171Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-11-03T16:21:59.5594232Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-11-03T16:21:59.5595337Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-11-03T16:21:59.5596573Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-11-03T16:21:59.5597872Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-11-03T16:21:59.5599124Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-11-03T16:21:59.5600320Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-11-03T16:21:59.5601592Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-11-03T16:21:59.5602862Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-11-03T16:21:59.5604193Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-11-03T16:21:59.5605402Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-11-03T16:21:59.5606620Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-11-03T16:21:59.5607665Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-11-03T16:21:59.5609067Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-11-03T16:21:59.5610024Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-11-03T16:21:59.5611234Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-11-03T16:21:59.5612499Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-11-03T16:21:59.5613811Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-11-03T16:21:59.5614757Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-11-03T16:21:59.5615953Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-11-03T16:21:59.5616980Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-11-03T16:21:59.5618400Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-11-03T16:21:59.5619433Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-11-03T16:21:59.5620455Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-11-03T16:21:59.5621718Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-11-03T16:21:59.5622921Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-11-03T16:21:59.5624321Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-11-03T16:21:59.5625677Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-11-03T16:21:59.5626747Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-11-03T16:21:59.5627945Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-11-03T16:21:59.5629277Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-11-03T16:21:59.5630557Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-11-03T16:21:59.5631792Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-11-03T16:21:59.5632966Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-11-03T16:21:59.5634245Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-11-03T16:21:59.5635806Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-11-03T16:21:59.5636746Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-11-03T16:21:59.5637998Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-11-03T16:21:59.5639236Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-11-03T16:21:59.5640451Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-11-03T16:21:59.5641673Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-11-03T16:21:59.5642992Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-11-03T16:21:59.5644336Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-11-03T16:21:59.5645451Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-11-03T16:21:59.5646749Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-11-03T16:21:59.5647987Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-11-03T16:21:59.5649299Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-11-03T16:21:59.5650577Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-11-03T16:21:59.5651848Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-11-03T16:21:59.5653093Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-11-03T16:21:59.5654441Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-11-03T16:21:59.5655331Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-11-03T16:21:59.5656783Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-11-03T16:21:59.5658049Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-11-03T16:21:59.5659365Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-11-03T16:21:59.5660609Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-11-03T16:21:59.5661829Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-11-03T16:21:59.5662736Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-11-03T16:21:59.5664238Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-11-03T16:21:59.5665461Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-11-03T16:21:59.5666668Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-11-03T16:21:59.5668927Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-11-03T16:21:59.5669677Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-11-03T16:21:59.5670629Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-11-03T16:21:59.5672124Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-11-03T16:21:59.5673155Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-11-03T16:21:59.5674401Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-11-03T16:21:59.5675273Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-11-03T16:21:59.5676478Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-11-03T16:21:59.5677906Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-11-03T16:21:59.5679155Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-11-03T16:21:59.5680434Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-11-03T16:21:59.5681632Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-11-03T16:21:59.5683058Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-11-03T16:21:59.5684558Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-11-03T16:21:59.5685809Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-11-03T16:21:59.5687142Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-11-03T16:21:59.5688411Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-11-03T16:21:59.5689767Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-11-03T16:21:59.5691031Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-11-03T16:21:59.5692128Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-11-03T16:21:59.5693457Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-11-03T16:21:59.5694776Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-11-03T16:21:59.5695994Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-11-03T16:21:59.5697225Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-11-03T16:21:59.5698515Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-11-03T16:21:59.5699773Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-11-03T16:21:59.5701063Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-11-03T16:21:59.5702357Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-11-03T16:21:59.5703428Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-11-03T16:21:59.5704876Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-11-03T16:21:59.5706261Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-11-03T16:21:59.5707612Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-11-03T16:21:59.5708963Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-11-03T16:21:59.5710263Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-11-03T16:21:59.5711568Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-11-03T16:21:59.5712846Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-11-03T16:21:59.5714100Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-11-03T16:21:59.5715458Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-11-03T16:21:59.5717187Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-11-03T16:21:59.5718513Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-11-03T16:21:59.5719814Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-11-03T16:21:59.5721254Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-11-03T16:21:59.5722469Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-11-03T16:21:59.5723815Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-11-03T16:21:59.5725286Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-11-03T16:21:59.5726568Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-11-03T16:21:59.5727638Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-11-03T16:21:59.5729096Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-11-03T16:21:59.5730416Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-11-03T16:21:59.5731721Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-11-03T16:21:59.5733117Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-11-03T16:21:59.5734571Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-11-03T16:21:59.5735765Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-11-03T16:21:59.5737207Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-11-03T16:21:59.5738354Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-11-03T16:21:59.5740064Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-11-03T16:21:59.5741281Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-11-03T16:21:59.5742487Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-11-03T16:21:59.5743651Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-11-03T16:21:59.5744899Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-11-03T16:21:59.5746106Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-11-03T16:21:59.5747285Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-11-03T16:21:59.5748239Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-11-03T16:21:59.5749541Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-11-03T16:21:59.5751001Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-11-03T16:21:59.5752508Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-11-03T16:21:59.5753769Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-11-03T16:21:59.5755065Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-11-03T16:21:59.5756188Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-11-03T16:21:59.5757509Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-11-03T16:21:59.5759641Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-11-03T16:21:59.5760776Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-11-03T16:21:59.5761962Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-11-03T16:21:59.5763264Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-11-03T16:21:59.5764592Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-11-03T16:21:59.5765858Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-11-03T16:21:59.5767117Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-11-03T16:21:59.5768423Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-11-03T16:21:59.5769866Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-11-03T16:21:59.5771272Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-11-03T16:21:59.5772436Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-11-03T16:21:59.5773686Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-11-03T16:21:59.5774896Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-11-03T16:21:59.5776180Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-11-03T16:21:59.5777490Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-11-03T16:21:59.5778755Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-11-03T16:21:59.5779986Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-11-03T16:21:59.5781277Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-11-03T16:21:59.5782598Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-11-03T16:21:59.5783947Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-11-03T16:21:59.5785128Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-11-03T16:21:59.5786524Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-11-03T16:21:59.5787779Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-11-03T16:21:59.5789061Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-11-03T16:21:59.5790300Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-11-03T16:21:59.5791537Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-11-03T16:21:59.5792774Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-11-03T16:21:59.5794065Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-11-03T16:21:59.5795275Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-11-03T16:21:59.5796548Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-11-03T16:21:59.5797774Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-11-03T16:21:59.5799096Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-11-03T16:21:59.5800378Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-11-03T16:21:59.5801682Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-11-03T16:21:59.5802951Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-11-03T16:21:59.5804352Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-11-03T16:21:59.5805570Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-11-03T16:21:59.5807047Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-11-03T16:21:59.5808262Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-11-03T16:21:59.5809523Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-11-03T16:21:59.5810779Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-11-03T16:21:59.5812074Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-11-03T16:21:59.5813280Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-11-03T16:21:59.5814644Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-11-03T16:21:59.5816484Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-11-03T16:21:59.5817538Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-11-03T16:21:59.5818815Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-11-03T16:21:59.5820100Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-11-03T16:21:59.5821397Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-11-03T16:21:59.5822722Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-11-03T16:21:59.5823981Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-11-03T16:21:59.5825230Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-11-03T16:21:59.5826476Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-11-03T16:21:59.5827865Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-11-03T16:21:59.5828986Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-11-03T16:21:59.5830334Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-11-03T16:21:59.5831603Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-11-03T16:21:59.5832899Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-11-03T16:21:59.5834056Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-11-03T16:21:59.5835178Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-11-03T16:21:59.5836301Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-11-03T16:21:59.5837677Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-11-03T16:21:59.5838955Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-11-03T16:21:59.5840244Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-11-03T16:21:59.5841578Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-11-03T16:21:59.5842698Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-11-03T16:21:59.5844065Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-11-03T16:21:59.5845409Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-11-03T16:21:59.5846662Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-11-03T16:21:59.5847923Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-11-03T16:21:59.5849248Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-11-03T16:21:59.5850553Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-11-03T16:21:59.5851849Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-11-03T16:21:59.5853163Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-11-03T16:21:59.5854525Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-11-03T16:21:59.5855744Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-11-03T16:21:59.5857230Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-11-03T16:21:59.5858349Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-11-03T16:21:59.5859553Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-11-03T16:21:59.5860767Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-11-03T16:21:59.5862018Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-11-03T16:21:59.5863355Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-11-03T16:21:59.5864654Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-11-03T16:21:59.5865775Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-11-03T16:21:59.5867014Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-11-03T16:21:59.5868383Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-11-03T16:21:59.5869992Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-11-03T16:21:59.5871309Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-11-03T16:21:59.5872550Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-11-03T16:21:59.5873761Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-11-03T16:21:59.5875060Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-11-03T16:21:59.5876369Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-11-03T16:21:59.5877512Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-11-03T16:21:59.5878826Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-11-03T16:21:59.5879979Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-11-03T16:21:59.5881313Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-11-03T16:21:59.5882591Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-11-03T16:21:59.5883905Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-11-03T16:21:59.5885310Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-11-03T16:21:59.5886630Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-11-03T16:21:59.5887893Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-11-03T16:21:59.5889156Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-11-03T16:21:59.5890430Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-11-03T16:21:59.5891719Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-11-03T16:21:59.5892996Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-11-03T16:21:59.5894267Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-11-03T16:21:59.5895567Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-11-03T16:21:59.5896915Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-11-03T16:21:59.5898548Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-11-03T16:21:59.5899914Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-11-03T16:21:59.5901253Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-11-03T16:21:59.5902594Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-11-03T16:21:59.5903868Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-11-03T16:21:59.5905137Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-11-03T16:21:59.5906440Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-11-03T16:21:59.5907592Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-11-03T16:21:59.5908963Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-11-03T16:21:59.5909857Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-11-03T16:21:59.5911180Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-11-03T16:21:59.5912461Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-11-03T16:21:59.5913770Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-11-03T16:21:59.5914920Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-11-03T16:21:59.5916274Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-11-03T16:21:59.5917536Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-11-03T16:21:59.5918837Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-11-03T16:21:59.5920139Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-11-03T16:21:59.5921423Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-11-03T16:21:59.5923038Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-11-03T16:21:59.5924412Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-11-03T16:21:59.5925767Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-11-03T16:21:59.5927023Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-11-03T16:21:59.5928379Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-11-03T16:21:59.5930110Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-11-03T16:21:59.5931449Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-11-03T16:21:59.5932550Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-11-03T16:21:59.5933829Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-11-03T16:21:59.5935099Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-11-03T16:21:59.5936428Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-11-03T16:21:59.5937550Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-11-03T16:21:59.5938817Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-11-03T16:21:59.5940113Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-11-03T16:21:59.5941420Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-11-03T16:21:59.5942652Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-11-03T16:21:59.5943893Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-11-03T16:21:59.5945163Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-11-03T16:21:59.5946463Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-11-03T16:21:59.5947700Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-11-03T16:21:59.5948955Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-11-03T16:21:59.5950276Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-11-03T16:21:59.5951720Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-11-03T16:21:59.5954030Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-11-03T16:21:59.5955314Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-11-03T16:21:59.5956714Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-11-03T16:21:59.5957791Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-11-03T16:21:59.5959225Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-11-03T16:21:59.5960311Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-11-03T16:21:59.5961636Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-11-03T16:21:59.5962937Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-11-03T16:21:59.5964283Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-11-03T16:21:59.5965646Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-11-03T16:21:59.5966911Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-11-03T16:21:59.5968372Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-11-03T16:21:59.5971647Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-11-03T16:21:59.5972912Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-11-03T16:21:59.5974191Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-11-03T16:21:59.5975452Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-11-03T16:21:59.5976730Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-11-03T16:21:59.5978237Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-11-03T16:21:59.5979514Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-11-03T16:21:59.5980845Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-11-03T16:21:59.5982112Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-11-03T16:21:59.5983424Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-11-03T16:21:59.5984922Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-11-03T16:21:59.5986227Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-11-03T16:21:59.5987375Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-11-03T16:21:59.5988676Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-11-03T16:21:59.5989920Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-11-03T16:21:59.5991211Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-11-03T16:21:59.5992553Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-11-03T16:21:59.5993889Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-11-03T16:21:59.5995207Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-11-03T16:21:59.5996606Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-11-03T16:21:59.5997909Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-11-03T16:21:59.5999205Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-11-03T16:21:59.6000518Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-11-03T16:21:59.6001897Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-11-03T16:21:59.6003002Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-11-03T16:21:59.6004421Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-11-03T16:21:59.6005849Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-11-03T16:21:59.6007072Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-11-03T16:21:59.6008285Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-11-03T16:21:59.6009530Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-11-03T16:21:59.6011257Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-11-03T16:21:59.6012552Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-11-03T16:21:59.6013883Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-11-03T16:21:59.6015172Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-11-03T16:21:59.6016528Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-11-03T16:21:59.6017757Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-11-03T16:21:59.6019007Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-11-03T16:21:59.6020294Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-11-03T16:21:59.6021670Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-11-03T16:21:59.6022926Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-11-03T16:21:59.6024175Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-11-03T16:21:59.6025477Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-11-03T16:21:59.6026786Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-11-03T16:21:59.6028145Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-11-03T16:21:59.6029289Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-11-03T16:21:59.6030567Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-11-03T16:21:59.6031896Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-11-03T16:21:59.6033199Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-11-03T16:21:59.6034489Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-11-03T16:21:59.6035755Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-11-03T16:21:59.6037263Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-11-03T16:21:59.6038559Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-11-03T16:21:59.6039685Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-11-03T16:21:59.6040991Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-11-03T16:21:59.6042322Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-11-03T16:21:59.6043441Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-11-03T16:21:59.6044848Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-11-03T16:21:59.6046126Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-11-03T16:21:59.6047492Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-11-03T16:21:59.6048824Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-11-03T16:21:59.6050159Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-11-03T16:21:59.6051655Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-11-03T16:21:59.6053103Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-11-03T16:21:59.6054317Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-11-03T16:21:59.6055443Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-11-03T16:21:59.6056824Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-11-03T16:21:59.6058268Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-11-03T16:21:59.6059448Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-11-03T16:21:59.6060595Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-11-03T16:21:59.6061914Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-11-03T16:21:59.6063205Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-11-03T16:21:59.6064515Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-11-03T16:21:59.6065861Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-11-03T16:21:59.6067071Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-11-03T16:21:59.6068998Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-11-03T16:21:59.6070320Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-11-03T16:21:59.6071540Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-11-03T16:21:59.6072850Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-11-03T16:21:59.6074229Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-11-03T16:21:59.6075573Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-11-03T16:21:59.6076915Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-11-03T16:21:59.6078550Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-11-03T16:21:59.6079721Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-11-03T16:21:59.6081186Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-11-03T16:21:59.6082488Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-11-03T16:21:59.6084221Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-11-03T16:21:59.6085572Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-11-03T16:21:59.6086860Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-11-03T16:21:59.6088233Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-11-03T16:21:59.6089443Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-11-03T16:21:59.6090591Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-11-03T16:21:59.6091754Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-11-03T16:21:59.6092944Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-11-03T16:21:59.6094135Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-11-03T16:21:59.6095289Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-11-03T16:21:59.6096450Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-11-03T16:21:59.6097632Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-11-03T16:21:59.6098885Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-11-03T16:21:59.6100154Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-11-03T16:21:59.6101262Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-11-03T16:21:59.6102355Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-11-03T16:21:59.6103531Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-11-03T16:21:59.6104694Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-11-03T16:21:59.6105855Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-11-03T16:21:59.6107014Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-11-03T16:21:59.6108197Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-11-03T16:21:59.6109339Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-11-03T16:21:59.6110520Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-11-03T16:21:59.6111678Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-11-03T16:21:59.6112863Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-11-03T16:21:59.6114029Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-11-03T16:21:59.6115188Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-11-03T16:21:59.6116363Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-11-03T16:21:59.6117539Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-11-03T16:21:59.6118776Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-11-03T16:21:59.6119988Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-11-03T16:21:59.6121154Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-11-03T16:21:59.6122344Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-11-03T16:21:59.6123489Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-11-03T16:21:59.6124807Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-11-03T16:21:59.6125996Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-11-03T16:21:59.6127200Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-11-03T16:21:59.6128327Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-11-03T16:21:59.6129538Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-11-03T16:21:59.6130759Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-11-03T16:21:59.6131988Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-11-03T16:21:59.6133181Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-11-03T16:21:59.6134416Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-11-03T16:21:59.6135621Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-11-03T16:21:59.6136835Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-11-03T16:21:59.6138124Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-11-03T16:21:59.6139306Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-11-03T16:21:59.6140570Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-11-03T16:21:59.6141793Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-11-03T16:21:59.6143095Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-11-03T16:21:59.6144202Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-11-03T16:21:59.6145398Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-11-03T16:21:59.6146588Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-11-03T16:21:59.6148223Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-11-03T16:21:59.6149434Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-11-03T16:21:59.6150694Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-11-03T16:21:59.6151993Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-11-03T16:21:59.6153279Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-11-03T16:21:59.6154517Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-11-03T16:21:59.6155805Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-11-03T16:21:59.6156967Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-11-03T16:21:59.6158113Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-11-03T16:21:59.6159409Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-11-03T16:21:59.6160627Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-11-03T16:21:59.6161822Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-11-03T16:21:59.6163029Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-11-03T16:21:59.6164336Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-11-03T16:21:59.6165571Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-11-03T16:21:59.6166776Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-11-03T16:21:59.6168198Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-11-03T16:21:59.6169424Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-11-03T16:21:59.6170670Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-11-03T16:21:59.6171812Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-11-03T16:21:59.6173059Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-11-03T16:21:59.6174478Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-11-03T16:21:59.6175755Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-11-03T16:21:59.6176949Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-11-03T16:21:59.6178171Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-11-03T16:21:59.6179382Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-11-03T16:21:59.6180597Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-11-03T16:21:59.6181819Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-11-03T16:21:59.6183023Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-11-03T16:21:59.6184245Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-11-03T16:21:59.6185459Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-11-03T16:21:59.6186696Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-11-03T16:21:59.6188169Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-11-03T16:21:59.6189119Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-11-03T16:21:59.6190415Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-11-03T16:21:59.6191584Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-11-03T16:21:59.6192808Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-11-03T16:21:59.6194031Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-11-03T16:21:59.6195247Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-11-03T16:21:59.6196486Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-11-03T16:21:59.6197681Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-11-03T16:21:59.6199018Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-11-03T16:21:59.6200243Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-11-03T16:21:59.6201500Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-11-03T16:21:59.6202740Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-11-03T16:21:59.6204031Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-11-03T16:21:59.6205291Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-11-03T16:21:59.6206478Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-11-03T16:21:59.6207688Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-11-03T16:21:59.6208870Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-11-03T16:21:59.6210072Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-11-03T16:21:59.6211334Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-11-03T16:21:59.6212513Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-11-03T16:21:59.6213727Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-11-03T16:21:59.6214938Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-11-03T16:21:59.6216159Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-11-03T16:21:59.6217372Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-11-03T16:21:59.6218638Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-11-03T16:21:59.6219853Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-11-03T16:21:59.6221076Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-11-03T16:21:59.6222319Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-11-03T16:21:59.6223544Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-11-03T16:21:59.6224956Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-11-03T16:21:59.6226399Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-11-03T16:21:59.7075478Z [command]/usr/bin/git rev-parse --verify --quiet 3f6538febd727b782e6e13cfd026a309fb14351d^{object}
2025-11-03T16:21:59.7099838Z 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:21:59.7104295Z ##[endgroup]
2025-11-03T16:21:59.7104546Z ##[group]Determining the checkout info
2025-11-03T16:21:59.7105683Z ##[endgroup]
2025-11-03T16:21:59.7109426Z [command]/usr/bin/git sparse-checkout disable
2025-11-03T16:21:59.7143866Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-11-03T16:21:59.7170340Z ##[group]Checking out the ref
2025-11-03T16:21:59.7173459Z [command]/usr/bin/git checkout --progress --force 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:22:00.7386887Z Updating files:  75% (15193/20004)
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2025-11-03T16:22:01.1872472Z Updating files: 100% (20004/20004), done.
2025-11-03T16:22:01.2108043Z Note: switching to '3f6538febd727b782e6e13cfd026a309fb14351d'.
2025-11-03T16:22:01.2108343Z 
2025-11-03T16:22:01.2108584Z You are in 'detached HEAD' state. You can look around, make experimental
2025-11-03T16:22:01.2109399Z changes and commit them, and you can discard any commits you make in this
2025-11-03T16:22:01.2109903Z state without impacting any branches by switching back to a branch.
2025-11-03T16:22:01.2110205Z 
2025-11-03T16:22:01.2110397Z If you want to create a new branch to retain commits you create, you may
2025-11-03T16:22:01.2110854Z do so (now or later) by using -c with the switch command. Example:
2025-11-03T16:22:01.2111115Z 
2025-11-03T16:22:01.2111224Z   git switch -c <new-branch-name>
2025-11-03T16:22:01.2111410Z 
2025-11-03T16:22:01.2111510Z Or undo this operation with:
2025-11-03T16:22:01.2111681Z 
2025-11-03T16:22:01.2111765Z   git switch -
2025-11-03T16:22:01.2111889Z 
2025-11-03T16:22:01.2112111Z Turn off this advice by setting config variable advice.detachedHead to false
2025-11-03T16:22:01.2112418Z 
2025-11-03T16:22:01.2112595Z HEAD is now at 3f6538febd7 Remove tools from BC linter (#166858)
2025-11-03T16:22:01.2231718Z ##[endgroup]
2025-11-03T16:22:01.2232151Z ##[group]Setting up auth for fetching submodules
2025-11-03T16:22:01.2238022Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-11-03T16:22:01.2289428Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-11-03T16:22:01.2316296Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-11-03T16:22:01.2343212Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-11-03T16:22:01.2368215Z ##[endgroup]
2025-11-03T16:22:01.2368608Z ##[group]Fetching submodules
2025-11-03T16:22:01.2371202Z [command]/usr/bin/git submodule sync --recursive
2025-11-03T16:22:01.2710314Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-11-03T16:22:01.3040788Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-11-03T16:22:01.3042975Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-11-03T16:22:01.3046300Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-11-03T16:22:01.3049396Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-11-03T16:22:01.3052761Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-11-03T16:22:01.3056409Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-11-03T16:22:01.3059846Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-11-03T16:22:01.3063395Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-11-03T16:22:01.3067117Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-11-03T16:22:01.3072182Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-11-03T16:22:01.3075863Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-11-03T16:22:01.3079657Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-11-03T16:22:01.3083778Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-11-03T16:22:01.3087810Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-11-03T16:22:01.3091910Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-11-03T16:22:01.3096737Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-11-03T16:22:01.3103738Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-11-03T16:22:01.3108053Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-11-03T16:22:01.3112670Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:22:01.3117091Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-11-03T16:22:01.3121801Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-11-03T16:22:01.3126552Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-11-03T16:22:01.3131089Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-11-03T16:22:01.3135901Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-11-03T16:22:01.3141028Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-11-03T16:22:01.3145969Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-11-03T16:22:01.3151001Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-11-03T16:22:01.3156049Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-11-03T16:22:01.3161699Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-11-03T16:22:01.3167091Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-11-03T16:22:01.3172714Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-11-03T16:22:01.3178540Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-11-03T16:22:01.3184192Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-11-03T16:22:01.3192720Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-11-03T16:22:01.3199015Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-11-03T16:22:01.3204878Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-11-03T16:22:01.3210745Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-11-03T16:22:01.3242462Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-11-03T16:22:01.5963765Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-11-03T16:22:01.5964472Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-11-03T16:22:01.5994782Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-11-03T16:22:04.0380718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-11-03T16:22:04.0382149Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-11-03T16:22:04.0384020Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-11-03T16:22:04.0385071Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-11-03T16:22:04.0386053Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-11-03T16:22:04.0386980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-11-03T16:22:04.0387905Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-11-03T16:22:04.0388813Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-11-03T16:22:04.0389697Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-11-03T16:22:04.0390517Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-11-03T16:22:04.0391397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-11-03T16:22:04.0392321Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-11-03T16:22:04.0393234Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-11-03T16:22:04.0394100Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-11-03T16:22:04.0394980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-11-03T16:22:04.0538746Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-11-03T16:22:04.6304433Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-11-03T16:22:04.6305693Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-11-03T16:22:04.6306945Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-11-03T16:22:04.6307944Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-11-03T16:22:04.7305134Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-11-03T16:22:16.2733145Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-11-03T16:22:16.2734123Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-11-03T16:22:16.2734980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-11-03T16:22:16.2735841Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-11-03T16:22:16.2736747Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-11-03T16:22:16.2737592Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-11-03T16:22:16.2738462Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-11-03T16:22:16.2739398Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-11-03T16:22:16.2740316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-11-03T16:22:16.2741180Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-11-03T16:22:16.3734516Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-11-03T16:22:19.6680338Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-11-03T16:22:19.6869542Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-11-03T16:22:19.7015793Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-11-03T16:22:19.7133612Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-11-03T16:22:19.7431993Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-11-03T16:22:19.8257055Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-11-03T16:22:19.8838953Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-11-03T16:22:20.7412662Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-11-03T16:22:20.9173107Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-11-03T16:22:20.9196487Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:22:20.9228610Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-11-03T16:22:24.2676424Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-11-03T16:22:24.2954760Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-11-03T16:22:24.6869929Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-11-03T16:22:24.7385377Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-11-03T16:22:24.8379036Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-11-03T16:22:24.8878435Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-11-03T16:22:25.5964684Z Submodule path 'third_party/cutlass': checked out 'f3fde58372d33e9a5650ba7b80fc48b3b49d40c8'
2025-11-03T16:22:25.7657049Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-11-03T16:22:25.7685545Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-11-03T16:22:25.7688549Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:22:25.7691844Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:22:25.7695227Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-11-03T16:22:25.7698581Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-11-03T16:22:25.7702233Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:22:25.7705934Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-11-03T16:22:25.7739144Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-11-03T16:22:26.9107078Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-11-03T16:22:26.9107969Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-11-03T16:22:26.9108869Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-11-03T16:22:27.0107170Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-11-03T16:22:29.1624392Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-11-03T16:22:29.2625170Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-11-03T16:22:32.9404700Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-11-03T16:22:33.3386295Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-11-03T16:22:33.4405758Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-11-03T16:22:34.1477262Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-11-03T16:22:34.1967139Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:22:34.2104291Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-11-03T16:22:34.3254912Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-11-03T16:22:34.4091785Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-11-03T16:22:34.4112130Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:22:34.4115318Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:22:34.4144379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-11-03T16:22:37.3338196Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-11-03T16:22:37.6251620Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-11-03T16:22:38.2492728Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-11-03T16:22:38.4097498Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-11-03T16:22:38.4420765Z Submodule path 'third_party/fmt': checked out 'e424e3f2e607da02742f73db84873b8084fc714c'
2025-11-03T16:22:38.4830970Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-11-03T16:22:38.5144621Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-11-03T16:22:38.5620374Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:22:38.5780528Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-11-03T16:22:38.5800267Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-11-03T16:22:38.5828531Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-11-03T16:22:54.4251672Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-11-03T16:22:54.4487233Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-11-03T16:22:54.5347798Z Submodule path 'third_party/kineto': checked out '6fcbc53d33dd275c0aba1e5d7701d471b7f6eeb3'
2025-11-03T16:22:54.5368778Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:22:54.5371899Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:22:54.5375349Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:22:54.5405298Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-11-03T16:22:55.4959091Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-11-03T16:22:55.9152499Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-11-03T16:22:56.0089578Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-11-03T16:22:56.0110184Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:22:56.0113325Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:22:56.0116933Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:22:56.0120238Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:22:56.0124450Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:22:56.0128339Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:22:56.0132145Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:22:56.0136027Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:22:56.0140415Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:22:56.0173676Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-11-03T16:22:57.9103737Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-11-03T16:22:57.9105748Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-11-03T16:22:57.9107195Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-11-03T16:22:57.9108366Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-11-03T16:22:57.9109222Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-11-03T16:22:57.9110070Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-11-03T16:22:57.9110877Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-11-03T16:22:58.0102313Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-11-03T16:23:02.5207430Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-11-03T16:23:02.5426817Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-11-03T16:23:02.5830683Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-11-03T16:23:02.5993560Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-11-03T16:23:02.6012863Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:23:02.6042698Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-11-03T16:23:02.9147311Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-11-03T16:23:02.9361689Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-11-03T16:23:02.9834728Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:23:03.0906035Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-11-03T16:23:03.1096122Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-11-03T16:23:03.1301940Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-11-03T16:23:03.1321250Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:23:03.1325747Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:23:03.1361606Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-11-03T16:23:05.4648879Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-11-03T16:23:05.7094953Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-11-03T16:23:05.7586801Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-11-03T16:23:05.7922717Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-11-03T16:23:05.8392444Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:23:05.8995401Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-11-03T16:23:05.9428342Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-11-03T16:23:06.0638601Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-11-03T16:23:06.5880017Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-11-03T16:23:06.5918411Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-11-03T16:23:06.5949554Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-11-03T16:23:07.5296910Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-11-03T16:23:07.6145353Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-11-03T16:23:07.6166532Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:23:07.6169884Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:23:07.6172993Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:23:07.6176957Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:23:07.6180561Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:23:07.6184362Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:23:07.6188014Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:23:07.6191589Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:23:07.6223272Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-11-03T16:23:08.0470544Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-11-03T16:23:08.0471912Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-11-03T16:23:08.0472956Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-11-03T16:23:08.0474131Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-11-03T16:23:08.1470556Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-11-03T16:23:08.6349750Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-11-03T16:23:14.6263463Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-11-03T16:23:15.1818666Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-11-03T16:23:15.2247386Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-11-03T16:23:15.2433820Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-11-03T16:23:15.3595882Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-11-03T16:23:15.3753626Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-11-03T16:23:15.3933702Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-11-03T16:23:15.4145990Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-11-03T16:23:15.4164556Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:23:15.4168135Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
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2025-11-03T16:23:21.6445192Z ##[endgroup]
2025-11-03T16:23:21.6445619Z ##[group]Persisting credentials for submodules
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2025-11-03T16:23:22.2125284Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:23:22.2209733Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
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2025-11-03T16:23:22.2753114Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-11-03T16:23:22.2773233Z Entering 'third_party/NNPACK'
2025-11-03T16:23:22.2831517Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
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2025-11-03T16:23:22.3024077Z Entering 'third_party/XNNPACK'
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2025-11-03T16:23:22.3278127Z Entering 'third_party/benchmark'
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2025-11-03T16:23:22.4190732Z Entering 'third_party/fbgemm/external/googletest'
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2025-11-03T16:23:22.4266405Z Entering 'third_party/fbgemm/external/hipify_torch'
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2025-11-03T16:23:22.4652971Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
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2025-11-03T16:23:22.6603332Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2025-11-03T16:23:22.6629823Z Entering 'third_party/kleidiai'
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2025-11-03T16:23:22.7017242Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
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2025-11-03T16:23:22.7101114Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config	remote.origin.url
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2025-11-03T16:23:22.7907820Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
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2025-11-03T16:23:22.8243178Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
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2025-11-03T16:23:22.8331328Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-11-03T16:23:22.8355096Z Entering 'third_party/pthreadpool'
2025-11-03T16:23:22.8413612Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2025-11-03T16:23:22.8433329Z Entering 'third_party/pybind11'
2025-11-03T16:23:22.8492964Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2025-11-03T16:23:22.8513197Z Entering 'third_party/python-peachpy'
2025-11-03T16:23:22.8571553Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2025-11-03T16:23:22.8589994Z Entering 'third_party/sleef'
2025-11-03T16:23:22.8644913Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2025-11-03T16:23:22.8664844Z Entering 'third_party/tensorpipe'
2025-11-03T16:23:22.8726320Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2025-11-03T16:23:22.8744373Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:23:22.8802802Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-11-03T16:23:22.8820715Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:23:22.8877263Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-11-03T16:23:22.8896331Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:23:22.8953744Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-11-03T16:23:22.8972110Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:23:22.9028734Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-11-03T16:23:22.9046230Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:23:22.9103505Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2025-11-03T16:23:23.0073539Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-11-03T16:23:23.0403292Z Entering 'android/libs/fbjni'
2025-11-03T16:23:23.0452787Z Entering 'third_party/FP16'
2025-11-03T16:23:23.0499393Z Entering 'third_party/FXdiv'
2025-11-03T16:23:23.0547077Z Entering 'third_party/NNPACK'
2025-11-03T16:23:23.0595336Z Entering 'third_party/NVTX'
2025-11-03T16:23:23.0647088Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:23:23.0694124Z Entering 'third_party/XNNPACK'
2025-11-03T16:23:23.0756553Z Entering 'third_party/aiter'
2025-11-03T16:23:23.0803525Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:23:23.0862651Z Entering 'third_party/benchmark'
2025-11-03T16:23:23.0909132Z Entering 'third_party/composable_kernel'
2025-11-03T16:23:23.0963697Z Entering 'third_party/cpp-httplib'
2025-11-03T16:23:23.1012923Z Entering 'third_party/cpuinfo'
2025-11-03T16:23:23.1066114Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:23:23.1113162Z Entering 'third_party/cutlass'
2025-11-03T16:23:23.1175171Z Entering 'third_party/fbgemm'
2025-11-03T16:23:23.1225324Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:23:23.1273915Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:23:23.1326075Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:23:23.1372665Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:23:23.1426930Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:23:23.1473183Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:23:23.1518922Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:23:23.1569130Z Entering 'third_party/flash-attention'
2025-11-03T16:23:23.1618319Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:23:23.1671181Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:23:23.1726015Z Entering 'third_party/flatbuffers'
2025-11-03T16:23:23.1779325Z Entering 'third_party/fmt'
2025-11-03T16:23:23.1826367Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:23:23.1875243Z Entering 'third_party/gloo'
2025-11-03T16:23:23.1925528Z Entering 'third_party/googletest'
2025-11-03T16:23:23.1976726Z Entering 'third_party/ideep'
2025-11-03T16:23:23.2022735Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:23:23.2075785Z Entering 'third_party/ittapi'
2025-11-03T16:23:23.2122546Z Entering 'third_party/kineto'
2025-11-03T16:23:23.2167349Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:23:23.2214411Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:23:23.2264066Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:23:23.2313928Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:23:23.2363255Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:23:23.2407978Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:23:23.2458443Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:23:23.2506170Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:23:23.2558186Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:23:23.2607426Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:23:23.2655500Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:23:23.2701043Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:23:23.2750277Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:23:23.2802976Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:23:23.2848744Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:23:23.2898501Z Entering 'third_party/kleidiai'
2025-11-03T16:23:23.2946501Z Entering 'third_party/mimalloc'
2025-11-03T16:23:23.2993703Z Entering 'third_party/nlohmann'
2025-11-03T16:23:23.3048664Z Entering 'third_party/onnx'
2025-11-03T16:23:23.3111287Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:23:23.3161556Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:23:23.3209469Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:23:23.3255882Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:23:23.3303968Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:23:23.3355955Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:23:23.3405375Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:23:23.3456242Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:23:23.3504765Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:23:23.3554580Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:23:23.3609707Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:23:23.3658012Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:23:23.3723930Z Entering 'third_party/pocketfft'
2025-11-03T16:23:23.3773186Z Entering 'third_party/protobuf'
2025-11-03T16:23:23.3828627Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:23:23.3876593Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:23:23.3927298Z Entering 'third_party/psimd'
2025-11-03T16:23:23.3975801Z Entering 'third_party/pthreadpool'
2025-11-03T16:23:23.4024313Z Entering 'third_party/pybind11'
2025-11-03T16:23:23.4074762Z Entering 'third_party/python-peachpy'
2025-11-03T16:23:23.4123438Z Entering 'third_party/sleef'
2025-11-03T16:23:23.4176537Z Entering 'third_party/tensorpipe'
2025-11-03T16:23:23.4223898Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:23:23.4275236Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:23:23.4326777Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:23:23.4376420Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:23:23.4421677Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:23:23.4490516Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-11-03T16:23:23.4823354Z Entering 'android/libs/fbjni'
2025-11-03T16:23:23.4876824Z Entering 'third_party/FP16'
2025-11-03T16:23:23.4924948Z Entering 'third_party/FXdiv'
2025-11-03T16:23:23.4976352Z Entering 'third_party/NNPACK'
2025-11-03T16:23:23.5024563Z Entering 'third_party/NVTX'
2025-11-03T16:23:23.5074706Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:23:23.5126361Z Entering 'third_party/XNNPACK'
2025-11-03T16:23:23.5188554Z Entering 'third_party/aiter'
2025-11-03T16:23:23.5235663Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:23:23.5297716Z Entering 'third_party/benchmark'
2025-11-03T16:23:23.5345138Z Entering 'third_party/composable_kernel'
2025-11-03T16:23:23.5401792Z Entering 'third_party/cpp-httplib'
2025-11-03T16:23:23.5448585Z Entering 'third_party/cpuinfo'
2025-11-03T16:23:23.5495896Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:23:23.5544597Z Entering 'third_party/cutlass'
2025-11-03T16:23:23.5601538Z Entering 'third_party/fbgemm'
2025-11-03T16:23:23.5649547Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:23:23.5696514Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:23:23.5751288Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:23:23.5796971Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:23:23.5852609Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:23:23.5897731Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:23:23.5944022Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:23:23.5992600Z Entering 'third_party/flash-attention'
2025-11-03T16:23:23.6041643Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:23:23.6093640Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:23:23.6154767Z Entering 'third_party/flatbuffers'
2025-11-03T16:23:23.6204719Z Entering 'third_party/fmt'
2025-11-03T16:23:23.6255169Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:23:23.6304024Z Entering 'third_party/gloo'
2025-11-03T16:23:23.6353225Z Entering 'third_party/googletest'
2025-11-03T16:23:23.6398919Z Entering 'third_party/ideep'
2025-11-03T16:23:23.6444977Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:23:23.6501489Z Entering 'third_party/ittapi'
2025-11-03T16:23:23.6547366Z Entering 'third_party/kineto'
2025-11-03T16:23:23.6593100Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:23:23.6644924Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:23:23.6695220Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:23:23.6742813Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:23:23.6789298Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:23:23.6835260Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:23:23.6891092Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:23:23.6937821Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:23:23.6984883Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:23:23.7034357Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:23:23.7085008Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:23:23.7132606Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:23:23.7181527Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:23:23.7233402Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:23:23.7279061Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:23:23.7328233Z Entering 'third_party/kleidiai'
2025-11-03T16:23:23.7376976Z Entering 'third_party/mimalloc'
2025-11-03T16:23:23.7425539Z Entering 'third_party/nlohmann'
2025-11-03T16:23:23.7472895Z Entering 'third_party/onnx'
2025-11-03T16:23:23.7540256Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:23:23.7592303Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:23:23.7638754Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:23:23.7687066Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:23:23.7734308Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:23:23.7779474Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:23:23.7827806Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:23:23.7875589Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:23:23.7922129Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:23:23.7966624Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:23:23.8016430Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:23:23.8066615Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:23:23.8133898Z Entering 'third_party/pocketfft'
2025-11-03T16:23:23.8186982Z Entering 'third_party/protobuf'
2025-11-03T16:23:23.8237001Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:23:23.8284263Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:23:23.8336298Z Entering 'third_party/psimd'
2025-11-03T16:23:23.8384802Z Entering 'third_party/pthreadpool'
2025-11-03T16:23:23.8433714Z Entering 'third_party/pybind11'
2025-11-03T16:23:23.8486695Z Entering 'third_party/python-peachpy'
2025-11-03T16:23:23.8534741Z Entering 'third_party/sleef'
2025-11-03T16:23:23.8585998Z Entering 'third_party/tensorpipe'
2025-11-03T16:23:23.8635868Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:23:23.8687738Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:23:23.8734988Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:23:23.8788631Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:23:23.8834023Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:23:23.8911326Z ##[endgroup]
2025-11-03T16:23:23.8952844Z [command]/usr/bin/git log -1 --format=%H
2025-11-03T16:23:23.8978567Z 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:23:23.9093951Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-11-03T16:23:23.9094217Z cd "${GITHUB_WORKSPACE}"
2025-11-03T16:23:23.9094441Z # Clean stale submodule dirs
2025-11-03T16:23:23.9094667Z if [ -z "${NO_SUDO}" ]; then
2025-11-03T16:23:23.9094938Z   sudo git submodule foreach --recursive git clean -ffdx
2025-11-03T16:23:23.9095215Z else
2025-11-03T16:23:23.9095435Z   git submodule foreach --recursive git clean -ffdx
2025-11-03T16:23:23.9095693Z fi
2025-11-03T16:23:23.9106924Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:23.9107202Z env:
2025-11-03T16:23:23.9107362Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:23.9107552Z   NO_SUDO: true
2025-11-03T16:23:23.9107709Z ##[endgroup]
2025-11-03T16:23:23.9453948Z Entering 'android/libs/fbjni'
2025-11-03T16:23:23.9492997Z Entering 'third_party/FP16'
2025-11-03T16:23:23.9527909Z Entering 'third_party/FXdiv'
2025-11-03T16:23:23.9563537Z Entering 'third_party/NNPACK'
2025-11-03T16:23:23.9603920Z Entering 'third_party/NVTX'
2025-11-03T16:23:23.9647051Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:23:23.9687932Z Entering 'third_party/XNNPACK'
2025-11-03T16:23:23.9815480Z Entering 'third_party/aiter'
2025-11-03T16:23:23.9863264Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:23:23.9981281Z Entering 'third_party/benchmark'
2025-11-03T16:23:24.0017948Z Entering 'third_party/composable_kernel'
2025-11-03T16:23:24.0142569Z Entering 'third_party/cpp-httplib'
2025-11-03T16:23:24.0186623Z Entering 'third_party/cpuinfo'
2025-11-03T16:23:24.0227472Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:23:24.0267174Z Entering 'third_party/cutlass'
2025-11-03T16:23:24.0373509Z Entering 'third_party/fbgemm'
2025-11-03T16:23:24.0437564Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:23:24.0474557Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:23:24.0596756Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:23:24.0636491Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:23:24.0745362Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:23:24.0787742Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:23:24.0826897Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:23:24.0878429Z Entering 'third_party/flash-attention'
2025-11-03T16:23:24.0926975Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:23:24.1031330Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:23:24.1123274Z Entering 'third_party/flatbuffers'
2025-11-03T16:23:24.1201533Z Entering 'third_party/fmt'
2025-11-03T16:23:24.1237047Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:23:24.1275873Z Entering 'third_party/gloo'
2025-11-03T16:23:24.1314716Z Entering 'third_party/googletest'
2025-11-03T16:23:24.1358037Z Entering 'third_party/ideep'
2025-11-03T16:23:24.1392421Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:23:24.1484046Z Entering 'third_party/ittapi'
2025-11-03T16:23:24.1527372Z Entering 'third_party/kineto'
2025-11-03T16:23:24.1566912Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:23:24.1607925Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:23:24.1657923Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:23:24.1695546Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:23:24.1734342Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:23:24.1773679Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:23:24.1810848Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:23:24.1858417Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:23:24.1886330Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:23:24.1935553Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:23:24.1977351Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:23:24.2013848Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:23:24.2070025Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:23:24.2113264Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:23:24.2155217Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:23:24.2198825Z Entering 'third_party/kleidiai'
2025-11-03T16:23:24.2242942Z Entering 'third_party/mimalloc'
2025-11-03T16:23:24.2285763Z Entering 'third_party/nlohmann'
2025-11-03T16:23:24.2336067Z Entering 'third_party/onnx'
2025-11-03T16:23:24.2672601Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:23:24.2714374Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:23:24.2776009Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:23:24.2814303Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:23:24.2853470Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:23:24.2886504Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:23:24.2938368Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:23:24.2974661Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:23:24.3011840Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:23:24.3046196Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:23:24.3099719Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:23:24.3140373Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:23:24.3406776Z Entering 'third_party/pocketfft'
2025-11-03T16:23:24.3442528Z Entering 'third_party/protobuf'
2025-11-03T16:23:24.3525673Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:23:24.3564197Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:23:24.3609950Z Entering 'third_party/psimd'
2025-11-03T16:23:24.3644419Z Entering 'third_party/pthreadpool'
2025-11-03T16:23:24.3681112Z Entering 'third_party/pybind11'
2025-11-03T16:23:24.3718646Z Entering 'third_party/python-peachpy'
2025-11-03T16:23:24.3754955Z Entering 'third_party/sleef'
2025-11-03T16:23:24.3793312Z Entering 'third_party/tensorpipe'
2025-11-03T16:23:24.3832775Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:23:24.3869000Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:23:24.3904366Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:23:24.3945236Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:23:24.3977843Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:23:24.4126116Z Prepare all required actions
2025-11-03T16:23:24.4126570Z Getting action download info
2025-11-03T16:23:24.5873339Z ##[group]Run ./.github/actions/setup-linux
2025-11-03T16:23:24.5873593Z env:
2025-11-03T16:23:24.5873751Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:24.5873936Z ##[endgroup]
2025-11-03T16:23:24.5918532Z ##[group]Run set -euo pipefail
2025-11-03T16:23:24.5918793Z set -euo pipefail
2025-11-03T16:23:24.5919022Z function get_ec2_metadata() {
2025-11-03T16:23:24.5919296Z   # Pulled from instance metadata endpoint for EC2
2025-11-03T16:23:24.5919752Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-11-03T16:23:24.5920152Z   category=$1
2025-11-03T16:23:24.5920419Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-11-03T16:23:24.5920747Z   runner_name_str=i-086a042e332940233
2025-11-03T16:23:24.5921021Z   if [[ -f /.inarc ]]; then
2025-11-03T16:23:24.5921275Z     echo "ARC Runner, no info on ec2 metadata"
2025-11-03T16:23:24.5921546Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-11-03T16:23:24.5921877Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-11-03T16:23:24.5922182Z   else
2025-11-03T16:23:24.5922786Z     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}"
2025-11-03T16:23:24.5923427Z   fi
2025-11-03T16:23:24.5923585Z }
2025-11-03T16:23:24.5923912Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-11-03T16:23:24.5924230Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-11-03T16:23:24.5924573Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-11-03T16:23:24.5925079Z echo "system info $(uname -a)"
2025-11-03T16:23:24.5933426Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:24.5933713Z env:
2025-11-03T16:23:24.5933888Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:24.5934079Z ##[endgroup]
2025-11-03T16:23:24.6078329Z ami-id: ami-08982f1c5bf93d976
2025-11-03T16:23:24.6178634Z instance-id: i-086a042e332940233
2025-11-03T16:23:24.6281625Z instance-type: g6.4xlarge
2025-11-03T16:23:24.6294015Z system info Linux ip-10-1-41-7.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-11-03T16:23:24.6322660Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-11-03T16:23:24.6323020Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-11-03T16:23:24.6330143Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:24.6330427Z env:
2025-11-03T16:23:24.6330614Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:24.6330818Z ##[endgroup]
2025-11-03T16:23:26.0521242Z Mon Nov  3 16:23:26 2025       
2025-11-03T16:23:26.0521672Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:23:26.0522172Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-11-03T16:23:26.0522647Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T16:23:26.0523113Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-11-03T16:23:26.0523612Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-11-03T16:23:26.0524093Z |                                         |                        |               MIG M. |
2025-11-03T16:23:26.0524395Z |=========================================+========================+======================|
2025-11-03T16:23:26.0588285Z |   0  NVIDIA L4                      Off |   00000000:35:00.0 Off |                    0 |
2025-11-03T16:23:26.0589059Z | N/A   36C    P0             29W /   72W |       0MiB /  23034MiB |      4%      Default |
2025-11-03T16:23:26.0589438Z |                                         |                        |                  N/A |
2025-11-03T16:23:26.0589797Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T16:23:26.0590189Z 
2025-11-03T16:23:26.0590356Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:23:26.0590743Z | Processes:                                                                              |
2025-11-03T16:23:26.0591147Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-11-03T16:23:26.0591538Z |        ID   ID                                                               Usage      |
2025-11-03T16:23:26.0591852Z |=========================================================================================|
2025-11-03T16:23:26.0593006Z |  No running processes found                                                             |
2025-11-03T16:23:26.0593431Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:23:26.3883175Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:23:26.3883985Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:23:26.3892946Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:26.3893243Z env:
2025-11-03T16:23:26.3893399Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:26.3893594Z ##[endgroup]
2025-11-03T16:23:26.3995258Z ##[group]Run if systemctl is-active --quiet docker; then
2025-11-03T16:23:26.3995660Z if systemctl is-active --quiet docker; then
2025-11-03T16:23:26.3996204Z     echo "Docker daemon is running...";
2025-11-03T16:23:26.3996507Z else
2025-11-03T16:23:26.3996819Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-11-03T16:23:26.3997188Z fi
2025-11-03T16:23:26.4004795Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:26.4005076Z env:
2025-11-03T16:23:26.4005229Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:26.4005418Z ##[endgroup]
2025-11-03T16:23:26.4090822Z Docker daemon is running...
2025-11-03T16:23:26.4174936Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:23:26.4175161Z with:
2025-11-03T16:23:26.4175301Z   shell: bash
2025-11-03T16:23:26.4175460Z   timeout_minutes: 5
2025-11-03T16:23:26.4175635Z   max_attempts: 3
2025-11-03T16:23:26.4175813Z   retry_wait_seconds: 30
2025-11-03T16:23:26.4177455Z   command: AWS_ACCOUNT_ID=$(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

2025-11-03T16:23:26.4179074Z   polling_interval_seconds: 1
2025-11-03T16:23:26.4179285Z   warning_on_retry: true
2025-11-03T16:23:26.4179465Z   continue_on_error: false
2025-11-03T16:23:26.4179645Z env:
2025-11-03T16:23:26.4179798Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:26.4179987Z   AWS_RETRY_MODE: standard
2025-11-03T16:23:26.4180167Z   AWS_MAX_ATTEMPTS: 5
2025-11-03T16:23:26.4180350Z   AWS_DEFAULT_REGION: us-east-1
2025-11-03T16:23:26.4180546Z ##[endgroup]
2025-11-03T16:23:27.4250765Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:23:27.4251752Z Configure a credential helper to remove this warning. See
2025-11-03T16:23:27.4252328Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:23:27.4252670Z 
2025-11-03T16:23:27.4252791Z Login Succeeded
2025-11-03T16:23:27.8797801Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:23:27.8798761Z Configure a credential helper to remove this warning. See
2025-11-03T16:23:27.8799453Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:23:27.8799923Z 
2025-11-03T16:23:27.8800013Z Login Succeeded
2025-11-03T16:23:28.4947538Z Command completed after 1 attempt(s).
2025-11-03T16:23:28.5021422Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:23:28.5021832Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:23:28.5022167Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:23:28.5046442Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:28.5046749Z env:
2025-11-03T16:23:28.5046915Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:28.5047120Z ##[endgroup]
2025-11-03T16:23:28.5138335Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:23:28.5138752Z # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:23:28.5139060Z # shellcheck disable=SC2046
2025-11-03T16:23:28.5139311Z docker stop $(docker ps -q) || true
2025-11-03T16:23:28.5139552Z # Prune all of the docker images
2025-11-03T16:23:28.5139804Z docker system prune -af
2025-11-03T16:23:28.5147224Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:28.5147506Z env:
2025-11-03T16:23:28.5147664Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:28.5147853Z ##[endgroup]
2025-11-03T16:23:28.5392267Z "docker stop" requires at least 1 argument.
2025-11-03T16:23:28.5392983Z See 'docker stop --help'.
2025-11-03T16:23:28.5393168Z 
2025-11-03T16:23:28.5393342Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-11-03T16:23:28.5393593Z 
2025-11-03T16:23:28.5393698Z Stop one or more running containers
2025-11-03T16:23:28.5705598Z Total reclaimed space: 0B
2025-11-03T16:23:28.5867032Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-11-03T16:23:28.5867398Z with:
2025-11-03T16:23:28.5868174Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:28.5868819Z   use-custom-docker-registry: true
2025-11-03T16:23:28.5869047Z   docker-build-dir: .ci/docker
2025-11-03T16:23:28.5869254Z   docker-build-script: ./build.sh
2025-11-03T16:23:28.5869463Z   working-directory: .
2025-11-03T16:23:28.5869717Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:28.5870018Z   force-push: false
2025-11-03T16:23:28.5870179Z env:
2025-11-03T16:23:28.5870331Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:28.5870514Z ##[endgroup]
2025-11-03T16:23:28.5902297Z ##[group]Run set -ex
2025-11-03T16:23:28.5902520Z set -ex
2025-11-03T16:23:28.5902688Z 
2025-11-03T16:23:28.5902999Z # If the docker build directory or the build script doesn't exist, the action will
2025-11-03T16:23:28.5903462Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-11-03T16:23:28.5903863Z # job could then download the pre-built image as usual
2025-11-03T16:23:28.5904363Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-11-03T16:23:28.5904815Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-11-03T16:23:28.5905047Z else
2025-11-03T16:23:28.5905233Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:23:28.5905548Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:23:28.5905833Z 
2025-11-03T16:23:28.5906229Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-11-03T16:23:28.5906674Z   exit 0
2025-11-03T16:23:28.5906828Z fi
2025-11-03T16:23:28.5906973Z 
2025-11-03T16:23:28.5907213Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-11-03T16:23:28.5907641Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-11-03T16:23:28.5908032Z   # use it as it is, but first let's extract the tag
2025-11-03T16:23:28.5908369Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-11-03T16:23:28.5908730Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:23:28.5909078Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:23:28.5909362Z else
2025-11-03T16:23:28.5909557Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-11-03T16:23:28.5909825Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-11-03T16:23:28.5910101Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-11-03T16:23:28.5910334Z   fi
2025-11-03T16:23:28.5910650Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-11-03T16:23:28.5911070Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:23:28.5911513Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:23:28.5912000Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:23:28.5912306Z fi
2025-11-03T16:23:28.5919879Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:28.5920307Z env:
2025-11-03T16:23:28.5920468Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:28.5920665Z   REPO_NAME: pytorch
2025-11-03T16:23:28.5921382Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:28.5921998Z   DOCKER_BUILD_DIR: .ci/docker
2025-11-03T16:23:28.5922198Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-11-03T16:23:28.5922477Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:28.5922779Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-11-03T16:23:28.5922995Z   CUSTOM_TAG_PREFIX: 
2025-11-03T16:23:28.5923171Z ##[endgroup]
2025-11-03T16:23:28.5948916Z + [[ -d .ci/docker ]]
2025-11-03T16:23:28.5949207Z + [[ -f .ci/docker/./build.sh ]]
2025-11-03T16:23:28.5949476Z + [[ true == \t\r\u\e ]]
2025-11-03T16:23:28.5949700Z + echo skip=false
2025-11-03T16:23:28.5950656Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c == *\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* ]]
2025-11-03T16:23:28.5956818Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:28.5957583Z ++ awk -F '[:,]' '{print $2}'
2025-11-03T16:23:28.5982593Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:28.5983426Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:28.5984464Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:28.6020950Z ##[group]Run set +e
2025-11-03T16:23:28.6021182Z set +e
2025-11-03T16:23:28.6021345Z set -x
2025-11-03T16:23:28.6021506Z 
2025-11-03T16:23:28.6021650Z login() {
2025-11-03T16:23:28.6022000Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-11-03T16:23:28.6022386Z }
2025-11-03T16:23:28.6022543Z 
2025-11-03T16:23:28.6022687Z retry () {
2025-11-03T16:23:28.6022879Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-11-03T16:23:28.6023103Z }
2025-11-03T16:23:28.6023244Z 
2025-11-03T16:23:28.6023397Z retry login "${DOCKER_REGISTRY}"
2025-11-03T16:23:28.6023612Z 
2025-11-03T16:23:28.6023763Z START_TIME=$(date +%s)
2025-11-03T16:23:28.6023977Z # Wait up to 120 minutes
2025-11-03T16:23:28.6024240Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-11-03T16:23:28.6024582Z   # Check if image already exists, if it does then skip building it
2025-11-03T16:23:28.6024934Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-11-03T16:23:28.6025189Z     exit 0
2025-11-03T16:23:28.6025353Z   fi
2025-11-03T16:23:28.6025497Z 
2025-11-03T16:23:28.6025777Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-11-03T16:23:28.6026245Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-11-03T16:23:28.6026705Z   # latter, it will wait for the Docker images to become available before continuing
2025-11-03T16:23:28.6027073Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-11-03T16:23:28.6027356Z     # It's a Docker build job, let's build the image
2025-11-03T16:23:28.6027604Z     break
2025-11-03T16:23:28.6027769Z   else
2025-11-03T16:23:28.6028012Z     # It's a regular build job, wait for the image to become available
2025-11-03T16:23:28.6028456Z     sleep 300
2025-11-03T16:23:28.6028631Z   fi
2025-11-03T16:23:28.6028795Z done
2025-11-03T16:23:28.6028947Z 
2025-11-03T16:23:28.6029188Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-11-03T16:23:28.6029712Z # be empty.  The default action would be to continue rebuild the image
2025-11-03T16:23:28.6030080Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-11-03T16:23:28.6030405Z   # if we're on the base branch then use the parent commit
2025-11-03T16:23:28.6030690Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-11-03T16:23:28.6030902Z else
2025-11-03T16:23:28.6031148Z   # otherwise we're on a PR, so use the most recent base commit
2025-11-03T16:23:28.6031485Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-11-03T16:23:28.6031735Z fi
2025-11-03T16:23:28.6031878Z 
2025-11-03T16:23:28.6032054Z if [[ -z "${MERGE_BASE}" ]]; then
2025-11-03T16:23:28.6032307Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:23:28.6032542Z 
2025-11-03T16:23:28.6032861Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-11-03T16:23:28.6033252Z   exit 0
2025-11-03T16:23:28.6033414Z fi
2025-11-03T16:23:28.6033563Z 
2025-11-03T16:23:28.6033776Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-11-03T16:23:28.6034252Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-11-03T16:23:28.6034663Z   exit 1
2025-11-03T16:23:28.6034820Z fi
2025-11-03T16:23:28.6034966Z 
2025-11-03T16:23:28.6035213Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-11-03T16:23:28.6035687Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-11-03T16:23:28.6036105Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-11-03T16:23:28.6036581Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-11-03T16:23:28.6037115Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-11-03T16:23:28.6037427Z fi
2025-11-03T16:23:28.6037569Z 
2025-11-03T16:23:28.6037745Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:23:28.6044659Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:28.6044942Z env:
2025-11-03T16:23:28.6045093Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:28.6045289Z   DOCKER_BUILD_DIR: .ci/docker
2025-11-03T16:23:28.6045534Z   BASE_REVISION: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:23:28.6046184Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:28.6046993Z   DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:28.6047475Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:28.6047761Z   DOCKER_PUSH: 
2025-11-03T16:23:28.6047931Z ##[endgroup]
2025-11-03T16:23:28.6073018Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:28.6073568Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:28.6075801Z + aws ecr get-login-password --region us-east-1
2025-11-03T16:23:28.6076987Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:29.0678116Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:23:29.0678695Z Configure a credential helper to remove this warning. See
2025-11-03T16:23:29.0679432Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:23:29.0679732Z 
2025-11-03T16:23:29.0680089Z Login Succeeded
2025-11-03T16:23:29.0702581Z ++ date +%s
2025-11-03T16:23:29.0716622Z + START_TIME=1762187009
2025-11-03T16:23:29.0722082Z ++ date +%s
2025-11-03T16:23:29.0735331Z + [[ 1762179809 -lt 1762187009 ]]
2025-11-03T16:23:29.0736806Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:29.2851922Z {
2025-11-03T16:23:29.2852220Z 	"schemaVersion": 2,
2025-11-03T16:23:29.2852745Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-11-03T16:23:29.2853153Z 	"config": {
2025-11-03T16:23:29.2853450Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-11-03T16:23:29.2853812Z 		"size": 32972,
2025-11-03T16:23:29.2854195Z 		"digest": "sha256:13d6ecef26af9fe65fdbefec25e289c193635c6b17d6cff73bac415503578dce"
2025-11-03T16:23:29.2854662Z 	},
2025-11-03T16:23:29.2854837Z 	"layers": [
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2025-11-03T16:23:29.2856469Z 		},
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2025-11-03T16:23:29.2858075Z 		},
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2025-11-03T16:23:29.2859443Z 		},
2025-11-03T16:23:29.2859567Z 		{
2025-11-03T16:23:29.2859791Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-11-03T16:23:29.2860776Z 		},
2025-11-03T16:23:29.2860916Z 		{
2025-11-03T16:23:29.2861152Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2861445Z 			"size": 106,
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2025-11-03T16:23:29.2862070Z 		},
2025-11-03T16:23:29.2862204Z 		{
2025-11-03T16:23:29.2862432Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2862713Z 			"size": 703,
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2025-11-03T16:23:29.2863406Z 		},
2025-11-03T16:23:29.2863547Z 		{
2025-11-03T16:23:29.2863764Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2864052Z 			"size": 1217,
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2025-11-03T16:23:29.2864669Z 		},
2025-11-03T16:23:29.2864797Z 		{
2025-11-03T16:23:29.2865031Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2865311Z 			"size": 485,
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2025-11-03T16:23:29.2865905Z 		},
2025-11-03T16:23:29.2866033Z 		{
2025-11-03T16:23:29.2866247Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2866529Z 			"size": 110362113,
2025-11-03T16:23:29.2866818Z 			"digest": "sha256:785f07efa4c33a10e2b9eabd1db5542c58c909f010e704f6986f3af63ec7f6b4"
2025-11-03T16:23:29.2867141Z 		},
2025-11-03T16:23:29.2867270Z 		{
2025-11-03T16:23:29.2867992Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2868328Z 			"size": 5130,
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2025-11-03T16:23:29.2868964Z 		},
2025-11-03T16:23:29.2869105Z 		{
2025-11-03T16:23:29.2870462Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-11-03T16:23:29.2871403Z 		},
2025-11-03T16:23:29.2871533Z 		{
2025-11-03T16:23:29.2871768Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2872065Z 			"size": 724,
2025-11-03T16:23:29.2872351Z 			"digest": "sha256:3b5a95ce92b793c09ebb70597729c82126e7606df62aadb17f83637e5afa4a30"
2025-11-03T16:23:29.2872708Z 		},
2025-11-03T16:23:29.2872849Z 		{
2025-11-03T16:23:29.2873082Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2873382Z 			"size": 543,
2025-11-03T16:23:29.2873667Z 			"digest": "sha256:1189b8a6133f8d28e99f11ec40ebe459bde89f106df4915b28e5a325d2addf30"
2025-11-03T16:23:29.2873986Z 		},
2025-11-03T16:23:29.2874123Z 		{
2025-11-03T16:23:29.2874348Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2874637Z 			"size": 3205559772,
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2025-11-03T16:23:29.2875238Z 		},
2025-11-03T16:23:29.2875371Z 		{
2025-11-03T16:23:29.2875608Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2875894Z 			"size": 32,
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2025-11-03T16:23:29.2876505Z 		},
2025-11-03T16:23:29.2876640Z 		{
2025-11-03T16:23:29.2876860Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2877150Z 			"size": 381,
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2025-11-03T16:23:29.2877760Z 		},
2025-11-03T16:23:29.2877885Z 		{
2025-11-03T16:23:29.2878104Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-11-03T16:23:29.2879010Z 		},
2025-11-03T16:23:29.2879139Z 		{
2025-11-03T16:23:29.2879357Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2879640Z 			"size": 230,
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2025-11-03T16:23:29.2880228Z 		},
2025-11-03T16:23:29.2880357Z 		{
2025-11-03T16:23:29.2880572Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2880849Z 			"size": 3561735,
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2025-11-03T16:23:29.2881472Z 		},
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2025-11-03T16:23:29.2963331Z 			"size": 32,
2025-11-03T16:23:29.2963608Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:23:29.2963997Z 		},
2025-11-03T16:23:29.2964120Z 		{
2025-11-03T16:23:29.2964336Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2964616Z 			"size": 104,
2025-11-03T16:23:29.2964907Z 			"digest": "sha256:6a4d966e797b89c2000384c3f25a7424ef6e39cb88f0ddf2ddc49bd4ef295e3a"
2025-11-03T16:23:29.2965219Z 		},
2025-11-03T16:23:29.2965348Z 		{
2025-11-03T16:23:29.2965565Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2965857Z 			"size": 428,
2025-11-03T16:23:29.2966134Z 			"digest": "sha256:44dbd785679277cd8cabaf3e93f3e3e8047b24d0a01482659f75651ff32b6290"
2025-11-03T16:23:29.2966458Z 		},
2025-11-03T16:23:29.2966589Z 		{
2025-11-03T16:23:29.2966814Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2967092Z 			"size": 32,
2025-11-03T16:23:29.2967381Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:23:29.2967706Z 		},
2025-11-03T16:23:29.2968201Z 		{
2025-11-03T16:23:29.2968439Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2968730Z 			"size": 109,
2025-11-03T16:23:29.2969021Z 			"digest": "sha256:be3a19cb2c4b1e1dd8b1dd039f7b138277f305dab2d0192fec3bf826c2de98da"
2025-11-03T16:23:29.2969348Z 		},
2025-11-03T16:23:29.2969475Z 		{
2025-11-03T16:23:29.2969702Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2969990Z 			"size": 1896,
2025-11-03T16:23:29.2970287Z 			"digest": "sha256:bae0f850ba45dc4657ddfb05975efa7b7742525b450b6bcbcbf6dc100aafabe5"
2025-11-03T16:23:29.2970610Z 		},
2025-11-03T16:23:29.2970743Z 		{
2025-11-03T16:23:29.2970981Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2971275Z 			"size": 197508537,
2025-11-03T16:23:29.2971569Z 			"digest": "sha256:6a21ff398c6820b551bd2bf4a03a4361c1425a290f5dfbc89f18043b7a66c6cc"
2025-11-03T16:23:29.2971891Z 		},
2025-11-03T16:23:29.2972032Z 		{
2025-11-03T16:23:29.2972262Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2972554Z 			"size": 106,
2025-11-03T16:23:29.2972817Z 			"digest": "sha256:805752a1532bbf054f5183a0edeb319a8d7cc79f43b500c7e090433b78623f60"
2025-11-03T16:23:29.2973129Z 		},
2025-11-03T16:23:29.2973261Z 		{
2025-11-03T16:23:29.2973494Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2973775Z 			"size": 164,
2025-11-03T16:23:29.2974046Z 			"digest": "sha256:3c5308f09206765ca8550796e1246749054ec4c78e5cb6eb9fa9281899793e19"
2025-11-03T16:23:29.2974523Z 		},
2025-11-03T16:23:29.2974663Z 		{
2025-11-03T16:23:29.2974880Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2975166Z 			"size": 7943,
2025-11-03T16:23:29.2975575Z 			"digest": "sha256:22882e54393c9c971edc2ef541b8359dae85ec71a904469dc4c57eaf79bdc3b0"
2025-11-03T16:23:29.2975914Z 		},
2025-11-03T16:23:29.2976038Z 		{
2025-11-03T16:23:29.2976263Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2976553Z 			"size": 8068,
2025-11-03T16:23:29.2976829Z 			"digest": "sha256:dff34bf9160c46d69c974d39da9a48b0e842f701e58409bce0c984ea62364342"
2025-11-03T16:23:29.2977146Z 		},
2025-11-03T16:23:29.2977274Z 		{
2025-11-03T16:23:29.2977495Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2977775Z 			"size": 304,
2025-11-03T16:23:29.2978037Z 			"digest": "sha256:11fc756530ff0291369d3c6ef223533312fe244e4a92098f7a11036989984775"
2025-11-03T16:23:29.2978350Z 		},
2025-11-03T16:23:29.2978480Z 		{
2025-11-03T16:23:29.2978698Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2978979Z 			"size": 13363962,
2025-11-03T16:23:29.2979264Z 			"digest": "sha256:a87210f668ee871baecb39e01f8121fa1f2003717eef38e6886b17012de0cc8e"
2025-11-03T16:23:29.2979598Z 		},
2025-11-03T16:23:29.2979734Z 		{
2025-11-03T16:23:29.2979950Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2980229Z 			"size": 108,
2025-11-03T16:23:29.2980499Z 			"digest": "sha256:64254ff6c1b47a13b53e3a1c8ad2b914d3ce3a60686be0363f2947d80881b16a"
2025-11-03T16:23:29.2980811Z 		},
2025-11-03T16:23:29.2980930Z 		{
2025-11-03T16:23:29.2981139Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2981420Z 			"size": 54145652,
2025-11-03T16:23:29.2981700Z 			"digest": "sha256:7292f2fa0a20f702f729fb4e16833b392910a7793ed5af6031ed597476d0a394"
2025-11-03T16:23:29.2982006Z 		},
2025-11-03T16:23:29.2982138Z 		{
2025-11-03T16:23:29.2982367Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:23:29.2982646Z 			"size": 32,
2025-11-03T16:23:29.2982912Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:23:29.2983233Z 		}
2025-11-03T16:23:29.2983364Z 	]
2025-11-03T16:23:29.2983496Z }
2025-11-03T16:23:29.2983633Z + exit 0
2025-11-03T16:23:29.3016081Z ##[group]Run set -eux
2025-11-03T16:23:29.3016282Z set -eux
2025-11-03T16:23:29.3016577Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-11-03T16:23:29.3017399Z 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 || true
2025-11-03T16:23:29.3025446Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:29.3025731Z env:
2025-11-03T16:23:29.3025900Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:29.3026087Z ##[endgroup]
2025-11-03T16:23:29.3056108Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-11-03T16:23:29.3056954Z + jq --raw-output .SecretString
2025-11-03T16:23:29.3058412Z + jq -r .docker_hub_readonly_token
2025-11-03T16:23:29.3059212Z + docker login --username pytorchbot --password-stdin
2025-11-03T16:23:29.8063719Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:23:29.8064600Z Configure a credential helper to remove this warning. See
2025-11-03T16:23:29.8065370Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:23:29.8065941Z 
2025-11-03T16:23:29.8068434Z Login Succeeded
2025-11-03T16:23:29.8163214Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-11-03T16:23:29.8163542Z tag=${ECR_DOCKER_IMAGE##*:}
2025-11-03T16:23:29.8163970Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-11-03T16:23:29.8172393Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:29.8172681Z env:
2025-11-03T16:23:29.8172845Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:29.8173455Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:29.8174057Z ##[endgroup]
2025-11-03T16:23:29.8203194Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:29.8255392Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-11-03T16:23:29.8255744Z with:
2025-11-03T16:23:29.8256308Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:29.8256971Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:29.8257276Z env:
2025-11-03T16:23:29.8257444Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:29.8257635Z ##[endgroup]
2025-11-03T16:23:29.8284806Z ##[group]Run set -x
2025-11-03T16:23:29.8285008Z set -x
2025-11-03T16:23:29.8285179Z set +e
2025-11-03T16:23:29.8285326Z 
2025-11-03T16:23:29.8285478Z login() {
2025-11-03T16:23:29.8285833Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-11-03T16:23:29.8286209Z }
2025-11-03T16:23:29.8286357Z 
2025-11-03T16:23:29.8286541Z retry () {
2025-11-03T16:23:29.8286744Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-11-03T16:23:29.8286965Z }
2025-11-03T16:23:29.8287115Z 
2025-11-03T16:23:29.8287280Z retry login "${DOCKER_REGISTRY}"
2025-11-03T16:23:29.8287498Z 
2025-11-03T16:23:29.8287837Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-11-03T16:23:29.8288315Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-11-03T16:23:29.8288583Z 
2025-11-03T16:23:29.8288742Z set -e
2025-11-03T16:23:29.8288984Z # ignore output since only exit code is used for conditional
2025-11-03T16:23:29.8289348Z # only pull docker image if it's not available locally
2025-11-03T16:23:29.8289732Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-11-03T16:23:29.8290099Z   retry docker pull "${DOCKER_IMAGE}"
2025-11-03T16:23:29.8290330Z fi
2025-11-03T16:23:29.8297221Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:23:29.8297502Z env:
2025-11-03T16:23:29.8297677Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:23:29.8298274Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:29.8298941Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:29.8299225Z ##[endgroup]
2025-11-03T16:23:29.8323371Z + set +e
2025-11-03T16:23:29.8323773Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:29.8324187Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:29.8326946Z + aws ecr get-login-password --region us-east-1
2025-11-03T16:23:29.8328238Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:23:30.2878862Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:23:30.2879611Z Configure a credential helper to remove this warning. See
2025-11-03T16:23:30.2880137Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:23:30.2880489Z 
2025-11-03T16:23:30.2880870Z Login Succeeded
2025-11-03T16:23:30.2904097Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:30.2905277Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-11-03T16:23:30.5374008Z + IMAGE_SIZE=15117.311609268188
2025-11-03T16:23:30.5374381Z + echo 'Compressed size of image in MB: 15117.311609268188'
2025-11-03T16:23:30.5374733Z + set -e
2025-11-03T16:23:30.5374971Z Compressed size of image in MB: 15117.311609268188
2025-11-03T16:23:30.5376133Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:30.5495046Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:30.5496425Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:30.8239426Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c: Pulling from pytorch/ci-image
2025-11-03T16:23:30.8240914Z 828c1365039a: Pulling fs layer
2025-11-03T16:23:30.8241400Z 954ae8f4833f: Pulling fs layer
2025-11-03T16:23:30.8241826Z 6a8408e1ae89: Pulling fs layer
2025-11-03T16:23:30.8242272Z 6bbef44ddf27: Pulling fs layer
2025-11-03T16:23:30.8242721Z 25c21c10446d: Pulling fs layer
2025-11-03T16:23:30.8243165Z 83ed6148cd73: Pulling fs layer
2025-11-03T16:23:30.8243785Z 84e25d7ca1eb: Pulling fs layer
2025-11-03T16:23:30.8244242Z b01fcf6878e9: Pulling fs layer
2025-11-03T16:23:30.8244677Z 785f07efa4c3: Pulling fs layer
2025-11-03T16:23:30.8245107Z cccbe04bff08: Pulling fs layer
2025-11-03T16:23:30.8245539Z 87d3d98975ce: Pulling fs layer
2025-11-03T16:23:30.8246005Z 3b5a95ce92b7: Pulling fs layer
2025-11-03T16:23:30.8246439Z 1189b8a6133f: Pulling fs layer
2025-11-03T16:23:30.8246867Z 28321017d40c: Pulling fs layer
2025-11-03T16:23:30.8247322Z 4f4fb700ef54: Pulling fs layer
2025-11-03T16:23:30.8247745Z 58f2fce3af5a: Pulling fs layer
2025-11-03T16:23:30.8248126Z 2a632f1b7b7d: Pulling fs layer
2025-11-03T16:23:30.8248571Z 6295e6c5fae6: Pulling fs layer
2025-11-03T16:23:30.8248972Z 83ed6148cd73: Waiting
2025-11-03T16:23:30.8249262Z 2313013ce80c: Pulling fs layer
2025-11-03T16:23:30.8249469Z 334707510e56: Pulling fs layer
2025-11-03T16:23:30.8249741Z ef0dcf044832: Pulling fs layer
2025-11-03T16:23:30.8249997Z 431f9389ec76: Pulling fs layer
2025-11-03T16:23:30.8250275Z 6bbef44ddf27: Waiting
2025-11-03T16:23:30.8250476Z 25c21c10446d: Waiting
2025-11-03T16:23:30.8250642Z cccbe04bff08: Waiting
2025-11-03T16:23:30.8250813Z 59fca474fb86: Pulling fs layer
2025-11-03T16:23:30.8251009Z 0b3c78100096: Pulling fs layer
2025-11-03T16:23:30.8251203Z aefabbfceac0: Pulling fs layer
2025-11-03T16:23:30.8251388Z b01fcf6878e9: Waiting
2025-11-03T16:23:30.8251558Z 98af5444ba5d: Pulling fs layer
2025-11-03T16:23:30.8251734Z 87d3d98975ce: Waiting
2025-11-03T16:23:30.8251907Z 3b5a95ce92b7: Waiting
2025-11-03T16:23:30.8252069Z 785f07efa4c3: Waiting
2025-11-03T16:23:30.8252230Z 0cb7727fc15d: Pulling fs layer
2025-11-03T16:23:30.8252415Z 718815568513: Pulling fs layer
2025-11-03T16:23:30.8252593Z 1189b8a6133f: Waiting
2025-11-03T16:23:30.8252751Z 28321017d40c: Waiting
2025-11-03T16:23:30.8252912Z 8a70b5eea851: Pulling fs layer
2025-11-03T16:23:30.8253094Z 58f2fce3af5a: Waiting
2025-11-03T16:23:30.8253252Z 2a632f1b7b7d: Waiting
2025-11-03T16:23:30.8253418Z e795c0da1186: Pulling fs layer
2025-11-03T16:23:30.8253606Z dd04d368ace4: Pulling fs layer
2025-11-03T16:23:30.8253789Z 718815568513: Waiting
2025-11-03T16:23:30.8253945Z 8a70b5eea851: Waiting
2025-11-03T16:23:30.8254100Z 4f4fb700ef54: Waiting
2025-11-03T16:23:30.8254250Z ef0dcf044832: Waiting
2025-11-03T16:23:30.8254415Z 672bf52bcb80: Pulling fs layer
2025-11-03T16:23:30.8254599Z 9e4da3566a74: Pulling fs layer
2025-11-03T16:23:30.8254782Z 0cb7727fc15d: Waiting
2025-11-03T16:23:30.8254949Z 6db98503d2ef: Pulling fs layer
2025-11-03T16:23:30.8255382Z bab3afe618c2: Pulling fs layer
2025-11-03T16:23:30.8255566Z 59fca474fb86: Waiting
2025-11-03T16:23:30.8255737Z 0b3c78100096: Waiting
2025-11-03T16:23:30.8255898Z 9caf7d3249f1: Pulling fs layer
2025-11-03T16:23:30.8256081Z 98af5444ba5d: Waiting
2025-11-03T16:23:30.8256236Z 2313013ce80c: Waiting
2025-11-03T16:23:30.8256400Z 25c0b672e121: Pulling fs layer
2025-11-03T16:23:30.8256573Z e795c0da1186: Waiting
2025-11-03T16:23:30.8256732Z 431f9389ec76: Waiting
2025-11-03T16:23:30.8256894Z 62a1a89b4f63: Pulling fs layer
2025-11-03T16:23:30.8257239Z dd04d368ace4: Waiting
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2025-11-03T16:28:09.7827984Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:28:09.8018987Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:28:09.8073796Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:28:09.8074794Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:28:09.8083977Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:28:09.8084260Z env:
2025-11-03T16:28:09.8084423Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:28:09.8084632Z ##[endgroup]
2025-11-03T16:28:09.8247872Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-11-03T16:28:09.8248194Z with:
2025-11-03T16:28:09.8248361Z   driver-version: 580.82.07
2025-11-03T16:28:09.8248556Z env:
2025-11-03T16:28:09.8248706Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:28:09.8248892Z ##[endgroup]
2025-11-03T16:28:09.8345638Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2025-11-03T16:28:09.8345939Z with:
2025-11-03T16:28:09.8346100Z   timeout_minutes: 10
2025-11-03T16:28:09.8346280Z   max_attempts: 3
2025-11-03T16:28:09.8365897Z   command: # Is it disgusting to have a full shell script here in this github action? Sure
# But is it the best way to make it so that this action relies on nothing else? Absolutely
set -eou pipefail

DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID)
DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then
          YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo"
        else
          # Amazon Linux 2
          YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"
        fi

        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
        sudo yum install -y \
          nvidia-container-toolkit-1.17.8 \
          libnvidia-container-tools-1.17.8 \
          libnvidia-container1-1.17.8 \
          nvidia-container-toolkit-base-1.17.8
        sudo systemctl restart docker
    )
}

install_nvidia_docker2_ubuntu20() {
    (
        set -x
        # Install nvidia-driver package if not installed
        status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)"
        if [ ! $? = 0 ] || [ ! "$status" = installed ]; then
          sudo apt-get install -y nvidia-container-toolkit-1.17.8
          sudo systemctl restart docker
        fi
    )
}

pre_install_nvidia_driver_amzn2() {
    (
        # Purge any nvidia driver installed from RHEL repo
        sudo yum remove -y nvidia-driver-latest-dkms
    )
}

install_nvidia_driver_common() {
    (
        # Try to gather more information about the runner and its existing NVIDIA driver if any
        echo "Before installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        HAS_NVIDIA_DRIVER=0
        # Check if NVIDIA driver has already been installed
        if [ -x "$(command -v nvidia-smi)" ]; then
            set +e
            # The driver exists, check its version next. Also check only the first GPU if there are more than one of them
            # so that the same driver version is not print over multiple lines
            INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
            NVIDIA_SMI_STATUS=$?

            if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing"
            elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing"

                # Turn off persistent mode so that the installation script can unload the kernel module
                sudo killall nvidia-persistenced || true
            else
                HAS_NVIDIA_DRIVER=1
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation"
            fi
            set -e
        fi

        if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then
            # CAUTION: this may need to be updated in future
            if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then
                  sudo yum groupinstall -y "Development Tools"
                  # ensure our kernel install is the same as our underlying kernel,
                  # groupinstall "Development Tools" has a habit of mismatching kernel headers
                  sudo yum install -y "kernel-devel-uname-r == $(uname -r)"
                  sudo modprobe backlight
            fi
            sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN"

            set +e
            sudo /bin/bash /tmp/nvidia_driver -s --no-drm
            NVIDIA_INSTALLATION_STATUS=$?

            RESET_GPU=0
            if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then
                sudo cat /var/log/nvidia-installer.log
                # Fail to install NVIDIA driver, try to reset the GPU
                RESET_GPU=1
            elif [ -x "$(command -v nvidia-smi)" ]; then
                # Check again if nvidia-smi works even if the driver installation completes successfully
                INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
                NVIDIA_SMI_STATUS=$?

                if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                    RESET_GPU=1
                fi
            fi

            if [ "$RESET_GPU" -eq 1 ]; then
                NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1)
                # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this
                # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388
                for PCI_ID in $NVIDIA_DEVICES; do
                    DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable)

                    echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)"
                    # This requires sudo permission of course
                    echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset
                    sleep 1
                done
            fi

            sudo rm -fv /tmp/nvidia_driver
            set -e
        fi
    )
}

post_install_nvidia_driver_common() {
    (
        sudo modprobe nvidia || true
        echo "After installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        (
            set +e

            nvidia-smi
            # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in
            # the case where the driver has already crashed as it still can get the driver version
            # and some basic information like the bus ID.  However, the rest of the information
            # would be missing (ERR!), for example:
            #
            # +-----------------------------------------------------------------------------+
            # | NVIDIA-SMI 525.89.02    Driver Version: 525.89.02    CUDA Version: 12.0     |
            # |-------------------------------+----------------------+----------------------+
            # | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
            # | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
            # |                               |                      |               MIG M. |
            # |===============================+======================+======================|
            # |   0  ERR!                Off  | 00000000:00:1E.0 Off |                 ERR! |
            # |ERR!  ERR! ERR!    ERR! / ERR! |   4184MiB / 23028MiB |    ERR!      Default |
            # |                               |                      |                 ERR! |
            # +-------------------------------+----------------------+----------------------+
            #
            # +-----------------------------------------------------------------------------+
            # | Processes:                                                                  |
            # |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
            # |        ID   ID                                                   Usage      |
            # |=============================================================================|
            # +-----------------------------------------------------------------------------+
            #
            # This should be reported as a failure instead as it will guarantee to fail when
            # Docker tries to run with --gpus all
            #
            # So, the correct check here is to query one of the missing piece of info like
            # GPU name, so that the command can fail accordingly
            nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
            NVIDIA_SMI_STATUS=$?

            # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285
            if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then
                echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}"
            else
                echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}"
                exit ${NVIDIA_SMI_STATUS}
            fi
            set -e
        )
    )
}

install_nvidia_driver_amzn2() {
    (
        set -x
        pre_install_nvidia_driver_amzn2
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

install_nvidia_driver_ubuntu20() {
    (
        set -x
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

echo "== Installing nvidia driver ${DRIVER_FN} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_driver_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_driver_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac

# Install container toolkit based on distribution
echo "== Installing nvidia container toolkit for ${DISTRIBUTION} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_docker2_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_docker2_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac
echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"

# Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with
# more than one GPUs. This just needs to be run once. The command fails
# on subsequent runs and complains that the mode is already on, but that's
# ok
sudo nvidia-persistenced || true
# This should show persistence mode ON
nvidia-smi

# check if the container-toolkit is correctly installed and CUDA is available inside a container
docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi

2025-11-03T16:28:09.8385684Z   retry_wait_seconds: 10
2025-11-03T16:28:09.8385888Z   polling_interval_seconds: 1
2025-11-03T16:28:09.8386100Z   warning_on_retry: true
2025-11-03T16:28:09.8386278Z   continue_on_error: false
2025-11-03T16:28:09.8386461Z env:
2025-11-03T16:28:09.8386609Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:28:09.8386794Z   DRIVER_VERSION: 580.82.07
2025-11-03T16:28:09.8386974Z ##[endgroup]
2025-11-03T16:28:09.9293579Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.82.07.run ==
2025-11-03T16:28:09.9294886Z + pre_install_nvidia_driver_amzn2
2025-11-03T16:28:09.9295508Z + sudo yum remove -y nvidia-driver-latest-dkms
2025-11-03T16:28:10.4881260Z No match for argument: nvidia-driver-latest-dkms
2025-11-03T16:28:10.4882062Z No packages marked for removal.
2025-11-03T16:28:10.4935488Z Dependencies resolved.
2025-11-03T16:28:10.4945275Z Nothing to do.
2025-11-03T16:28:10.4946244Z Complete!
2025-11-03T16:28:10.5769041Z + install_nvidia_driver_common
2025-11-03T16:28:10.5771073Z + echo 'Before installing NVIDIA driver'
2025-11-03T16:28:10.5773364Z Before installing NVIDIA driver
2025-11-03T16:28:10.5776224Z + lspci
2025-11-03T16:28:10.6621567Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-11-03T16:28:10.6622162Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-11-03T16:28:10.6622736Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-11-03T16:28:10.6623524Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-11-03T16:28:10.6624408Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-11-03T16:28:10.6624949Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6625310Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6625649Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6625968Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6626256Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6626508Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6626766Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6627024Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6637300Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6637656Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6637951Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6638224Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6638499Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6638745Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6638997Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6639245Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6639500Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6639744Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6639989Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6640239Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6640494Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6640744Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6640980Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6641227Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6641472Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6641717Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6641956Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6642202Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6642447Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6642693Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6642932Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6643180Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6643418Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6643795Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6644041Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6644293Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6644539Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6644788Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6645031Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6645276Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6645519Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6645764Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6646000Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6646245Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6646490Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6646813Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-11-03T16:28:10.6647342Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6647590Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6647839Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6648169Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-11-03T16:28:10.6648620Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:10.6648921Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1)
2025-11-03T16:28:10.6649192Z + lsmod
2025-11-03T16:28:10.6666675Z Module                  Size  Used by
2025-11-03T16:28:10.6667004Z nvidia_uvm           1925120  0
2025-11-03T16:28:10.6667277Z nvidia              14286848  1 nvidia_uvm
2025-11-03T16:28:10.6667617Z drm                   602112  1 nvidia
2025-11-03T16:28:10.6668530Z drm_panel_orientation_quirks    32768  1 drm
2025-11-03T16:28:10.6669070Z backlight              24576  1 drm
2025-11-03T16:28:10.6669366Z i2c_core              110592  2 nvidia,drm
2025-11-03T16:28:10.6669670Z xt_conntrack           16384  1
2025-11-03T16:28:10.6669935Z nft_chain_nat          16384  3
2025-11-03T16:28:10.6670185Z xt_MASQUERADE          20480  1
2025-11-03T16:28:10.6670471Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-11-03T16:28:10.6670787Z nf_conntrack_netlink    57344  0
2025-11-03T16:28:10.6671178Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-11-03T16:28:10.6671605Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-11-03T16:28:10.6671898Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-11-03T16:28:10.6672167Z xfrm_user              57344  1
2025-11-03T16:28:10.6672416Z xfrm_algo              16384  1 xfrm_user
2025-11-03T16:28:10.6672683Z xt_addrtype            16384  2
2025-11-03T16:28:10.6672916Z nft_compat             20480  4
2025-11-03T16:28:10.6673192Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-11-03T16:28:10.6673580Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-11-03T16:28:10.6673941Z br_netfilter           36864  0
2025-11-03T16:28:10.6674198Z bridge                323584  1 br_netfilter
2025-11-03T16:28:10.6674477Z stp                    16384  1 bridge
2025-11-03T16:28:10.6674735Z llc                    16384  2 bridge,stp
2025-11-03T16:28:10.6675000Z overlay               167936  0
2025-11-03T16:28:10.6675221Z tls                   139264  0
2025-11-03T16:28:10.6675448Z nls_ascii              16384  1
2025-11-03T16:28:10.6675680Z nls_cp437              20480  1
2025-11-03T16:28:10.6675913Z vfat                   24576  1
2025-11-03T16:28:10.6676134Z fat                    86016  1 vfat
2025-11-03T16:28:10.6676334Z sunrpc                700416  1
2025-11-03T16:28:10.6676510Z ena                   184320  0
2025-11-03T16:28:10.6676688Z i8042                  45056  0
2025-11-03T16:28:10.6676870Z ghash_clmulni_intel    16384  0
2025-11-03T16:28:10.6677072Z serio                  28672  3 i8042
2025-11-03T16:28:10.6677277Z button                 24576  0
2025-11-03T16:28:10.6677466Z sch_fq_codel           20480  9
2025-11-03T16:28:10.6677646Z fuse                  184320  1
2025-11-03T16:28:10.6677828Z dm_mod                188416  0
2025-11-03T16:28:10.6678004Z configfs               57344  1
2025-11-03T16:28:10.6678183Z loop                   36864  0
2025-11-03T16:28:10.6678368Z dmi_sysfs              20480  0
2025-11-03T16:28:10.6678558Z crc32_pclmul           16384  0
2025-11-03T16:28:10.6678736Z crc32c_intel           24576  0
2025-11-03T16:28:10.6678918Z efivarfs               24576  1
2025-11-03T16:28:10.6679106Z + modinfo nvidia
2025-11-03T16:28:10.6684223Z filename:       /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-11-03T16:28:10.6684681Z import_ns:      DMA_BUF
2025-11-03T16:28:10.6684891Z alias:          char-major-195-*
2025-11-03T16:28:10.6685209Z version:        580.82.07
2025-11-03T16:28:10.6685570Z supported:      external
2025-11-03T16:28:10.6685898Z license:        Dual MIT/GPL
2025-11-03T16:28:10.6686537Z firmware:       nvidia/580.82.07/gsp_tu10x.bin
2025-11-03T16:28:10.6687011Z firmware:       nvidia/580.82.07/gsp_ga10x.bin
2025-11-03T16:28:10.6687338Z srcversion:     BA7240A71DCF7DC6FE88C1D
2025-11-03T16:28:10.6687607Z alias:          of:N*T*Cnvidia,tegra264-displayC*
2025-11-03T16:28:10.6688036Z alias:          of:N*T*Cnvidia,tegra264-display
2025-11-03T16:28:10.6688315Z alias:          of:N*T*Cnvidia,tegra234-displayC*
2025-11-03T16:28:10.6688605Z alias:          of:N*T*Cnvidia,tegra234-display
2025-11-03T16:28:10.6688939Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-11-03T16:28:10.6689404Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-11-03T16:28:10.6689895Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-11-03T16:28:10.6690164Z depends:        i2c-core,drm
2025-11-03T16:28:10.6690365Z retpoline:      Y
2025-11-03T16:28:10.6690527Z name:           nvidia
2025-11-03T16:28:10.6690810Z vermagic:       6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-11-03T16:28:10.6691203Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-11-03T16:28:10.6691545Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-11-03T16:28:10.6691951Z parm:           NVreg_ResmanDebugLevel:int
2025-11-03T16:28:10.6692388Z parm:           NVreg_RmLogonRC:int
2025-11-03T16:28:10.6692839Z parm:           NVreg_ModifyDeviceFiles:int
2025-11-03T16:28:10.6693319Z parm:           NVreg_DeviceFileUID:int
2025-11-03T16:28:10.6693664Z parm:           NVreg_DeviceFileGID:int
2025-11-03T16:28:10.6693896Z parm:           NVreg_DeviceFileMode:int
2025-11-03T16:28:10.6694168Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-11-03T16:28:10.6694464Z parm:           NVreg_UsePageAttributeTable:int
2025-11-03T16:28:10.6694712Z parm:           NVreg_EnablePCIeGen3:int
2025-11-03T16:28:10.6694937Z parm:           NVreg_EnableMSI:int
2025-11-03T16:28:10.6695169Z parm:           NVreg_EnableStreamMemOPs:int
2025-11-03T16:28:10.6695448Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-11-03T16:28:10.6695994Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-11-03T16:28:10.6696489Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-11-03T16:28:10.6696807Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-11-03T16:28:10.6697124Z parm:           NVreg_DynamicPowerManagement:int
2025-11-03T16:28:10.6697444Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-11-03T16:28:10.6697794Z parm:           NVreg_EnableGpuFirmware:int
2025-11-03T16:28:10.6698048Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-11-03T16:28:10.6698326Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-11-03T16:28:10.6698602Z parm:           NVreg_EnableUserNUMAManagement:int
2025-11-03T16:28:10.6698853Z parm:           NVreg_MemoryPoolSize:int
2025-11-03T16:28:10.6699087Z parm:           NVreg_KMallocHeapMaxSize:int
2025-11-03T16:28:10.6699331Z parm:           NVreg_VMallocHeapMaxSize:int
2025-11-03T16:28:10.6699587Z parm:           NVreg_IgnoreMMIOCheck:int
2025-11-03T16:28:10.6699820Z parm:           NVreg_NvLinkDisable:int
2025-11-03T16:28:10.6700070Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-11-03T16:28:10.6700338Z parm:           NVreg_RegisterPCIDriver:int
2025-11-03T16:28:10.6700603Z parm:           NVreg_RegisterPlatformDeviceDriver:int
2025-11-03T16:28:10.6700873Z parm:           NVreg_EnableResizableBar:int
2025-11-03T16:28:10.6701112Z parm:           NVreg_EnableDbgBreakpoint:int
2025-11-03T16:28:10.6701365Z parm:           NVreg_EnableNonblockingOpen:int
2025-11-03T16:28:10.6701640Z parm:           NVreg_CoherentGPUMemoryMode:charp
2025-11-03T16:28:10.6701897Z parm:           NVreg_RegistryDwords:charp
2025-11-03T16:28:10.6702147Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-11-03T16:28:10.6702396Z parm:           NVreg_RmMsg:charp
2025-11-03T16:28:10.6702612Z parm:           NVreg_GpuBlacklist:charp
2025-11-03T16:28:10.6702972Z parm:           NVreg_TemporaryFilePath:charp
2025-11-03T16:28:10.6703211Z parm:           NVreg_ExcludedGpus:charp
2025-11-03T16:28:10.6703447Z parm:           NVreg_DmaRemapPeerMmio:int
2025-11-03T16:28:10.6703697Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-11-03T16:28:10.6703963Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-11-03T16:28:10.6704318Z parm:           NVreg_ImexChannelCount:int
2025-11-03T16:28:10.6704568Z parm:           NVreg_CreateImexChannel0:int
2025-11-03T16:28:10.6704841Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-11-03T16:28:10.6705097Z parm:           rm_firmware_active:charp
2025-11-03T16:28:10.6705309Z + HAS_NVIDIA_DRIVER=0
2025-11-03T16:28:10.6705501Z ++ command -v nvidia-smi
2025-11-03T16:28:10.6705698Z + '[' -x /usr/bin/nvidia-smi ']'
2025-11-03T16:28:10.6705896Z + set +e
2025-11-03T16:28:10.6706134Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-11-03T16:28:12.2854958Z + INSTALLED_DRIVER_VERSION=580.82.07
2025-11-03T16:28:12.2855581Z + NVIDIA_SMI_STATUS=0
2025-11-03T16:28:12.2856347Z + '[' 0 -ne 0 ']'
2025-11-03T16:28:12.2856686Z + '[' 580.82.07 '!=' 580.82.07 ']'
2025-11-03T16:28:12.2857062Z + HAS_NVIDIA_DRIVER=1
2025-11-03T16:28:12.2857684Z + echo 'NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation'
2025-11-03T16:28:12.2858096Z + set -e
2025-11-03T16:28:12.2858281Z + '[' 1 -eq 0 ']'
2025-11-03T16:28:12.2858600Z NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation
2025-11-03T16:28:12.2858962Z + post_install_nvidia_driver_common
2025-11-03T16:28:12.2861748Z + sudo modprobe nvidia
2025-11-03T16:28:12.4055835Z + echo 'After installing NVIDIA driver'
2025-11-03T16:28:12.4056174Z + lspci
2025-11-03T16:28:12.4056389Z After installing NVIDIA driver
2025-11-03T16:28:12.4224166Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-11-03T16:28:12.4224690Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-11-03T16:28:12.4225242Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-11-03T16:28:12.4225745Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-11-03T16:28:12.4226219Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-11-03T16:28:12.4226916Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4227300Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4227582Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4227837Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4228108Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4228371Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4228614Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4228857Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4229105Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4229360Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4229597Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4229845Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4230091Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4230341Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4230584Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4230828Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4231090Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4231334Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4231576Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4231823Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4232071Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4232316Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4232827Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4233074Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4233319Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4233561Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4233804Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4234175Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4234421Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4234665Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4234909Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4235149Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4235387Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4235627Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4235876Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4236123Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4236369Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4236615Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4236856Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4237090Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4237336Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4237580Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4237823Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4238070Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4238318Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4238638Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-11-03T16:28:12.4238971Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4239219Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4239464Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4239785Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-11-03T16:28:12.4240115Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-11-03T16:28:12.4240414Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1)
2025-11-03T16:28:12.4240680Z + lsmod
2025-11-03T16:28:12.4256947Z Module                  Size  Used by
2025-11-03T16:28:12.4257288Z nvidia_uvm           1925120  0
2025-11-03T16:28:12.4257567Z nvidia              14286848  1 nvidia_uvm
2025-11-03T16:28:12.4257847Z drm                   602112  1 nvidia
2025-11-03T16:28:12.4258277Z drm_panel_orientation_quirks    32768  1 drm
2025-11-03T16:28:12.4258856Z backlight              24576  1 drm
2025-11-03T16:28:12.4259160Z i2c_core              110592  2 nvidia,drm
2025-11-03T16:28:12.4259435Z xt_conntrack           16384  1
2025-11-03T16:28:12.4259681Z nft_chain_nat          16384  3
2025-11-03T16:28:12.4259916Z xt_MASQUERADE          20480  1
2025-11-03T16:28:12.4260212Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-11-03T16:28:12.4260525Z nf_conntrack_netlink    57344  0
2025-11-03T16:28:12.4260904Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-11-03T16:28:12.4261317Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-11-03T16:28:12.4261602Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-11-03T16:28:12.4261871Z xfrm_user              57344  1
2025-11-03T16:28:12.4262113Z xfrm_algo              16384  1 xfrm_user
2025-11-03T16:28:12.4262379Z xt_addrtype            16384  2
2025-11-03T16:28:12.4262602Z nft_compat             20480  4
2025-11-03T16:28:12.4262880Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-11-03T16:28:12.4263269Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-11-03T16:28:12.4263623Z br_netfilter           36864  0
2025-11-03T16:28:12.4263868Z bridge                323584  1 br_netfilter
2025-11-03T16:28:12.4264298Z stp                    16384  1 bridge
2025-11-03T16:28:12.4264565Z llc                    16384  2 bridge,stp
2025-11-03T16:28:12.4264831Z overlay               167936  0
2025-11-03T16:28:12.4265058Z tls                   139264  0
2025-11-03T16:28:12.4265274Z nls_ascii              16384  1
2025-11-03T16:28:12.4265501Z nls_cp437              20480  1
2025-11-03T16:28:12.4265975Z vfat                   24576  1
2025-11-03T16:28:12.4266219Z fat                    86016  1 vfat
2025-11-03T16:28:12.4266478Z sunrpc                700416  1
2025-11-03T16:28:12.4266684Z ena                   184320  0
2025-11-03T16:28:12.4266859Z i8042                  45056  0
2025-11-03T16:28:12.4267033Z ghash_clmulni_intel    16384  0
2025-11-03T16:28:12.4267229Z serio                  28672  3 i8042
2025-11-03T16:28:12.4267432Z button                 24576  0
2025-11-03T16:28:12.4267623Z sch_fq_codel           20480  9
2025-11-03T16:28:12.4268113Z fuse                  184320  1
2025-11-03T16:28:12.4268430Z dm_mod                188416  0
2025-11-03T16:28:12.4268632Z configfs               57344  1
2025-11-03T16:28:12.4268823Z loop                   36864  0
2025-11-03T16:28:12.4269015Z dmi_sysfs              20480  0
2025-11-03T16:28:12.4269193Z crc32_pclmul           16384  0
2025-11-03T16:28:12.4269395Z crc32c_intel           24576  0
2025-11-03T16:28:12.4269741Z efivarfs               24576  1
2025-11-03T16:28:12.4270071Z + modinfo nvidia
2025-11-03T16:28:12.4275784Z filename:       /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-11-03T16:28:12.4276206Z import_ns:      DMA_BUF
2025-11-03T16:28:12.4276408Z alias:          char-major-195-*
2025-11-03T16:28:12.4276635Z version:        580.82.07
2025-11-03T16:28:12.4276867Z supported:      external
2025-11-03T16:28:12.4277094Z license:        Dual MIT/GPL
2025-11-03T16:28:12.4277367Z firmware:       nvidia/580.82.07/gsp_tu10x.bin
2025-11-03T16:28:12.4277695Z firmware:       nvidia/580.82.07/gsp_ga10x.bin
2025-11-03T16:28:12.4278012Z srcversion:     BA7240A71DCF7DC6FE88C1D
2025-11-03T16:28:12.4278324Z alias:          of:N*T*Cnvidia,tegra264-displayC*
2025-11-03T16:28:12.4278660Z alias:          of:N*T*Cnvidia,tegra264-display
2025-11-03T16:28:12.4279000Z alias:          of:N*T*Cnvidia,tegra234-displayC*
2025-11-03T16:28:12.4279328Z alias:          of:N*T*Cnvidia,tegra234-display
2025-11-03T16:28:12.4279881Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-11-03T16:28:12.4280491Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-11-03T16:28:12.4280949Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-11-03T16:28:12.4281242Z depends:        i2c-core,drm
2025-11-03T16:28:12.4281481Z retpoline:      Y
2025-11-03T16:28:12.4281685Z name:           nvidia
2025-11-03T16:28:12.4282029Z vermagic:       6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-11-03T16:28:12.4282484Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-11-03T16:28:12.4282904Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-11-03T16:28:12.4283297Z parm:           NVreg_ResmanDebugLevel:int
2025-11-03T16:28:12.4283733Z parm:           NVreg_RmLogonRC:int
2025-11-03T16:28:12.4284155Z parm:           NVreg_ModifyDeviceFiles:int
2025-11-03T16:28:12.4284452Z parm:           NVreg_DeviceFileUID:int
2025-11-03T16:28:12.4284726Z parm:           NVreg_DeviceFileGID:int
2025-11-03T16:28:12.4285012Z parm:           NVreg_DeviceFileMode:int
2025-11-03T16:28:12.4285345Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-11-03T16:28:12.4285720Z parm:           NVreg_UsePageAttributeTable:int
2025-11-03T16:28:12.4286125Z parm:           NVreg_EnablePCIeGen3:int
2025-11-03T16:28:12.4286398Z parm:           NVreg_EnableMSI:int
2025-11-03T16:28:12.4286684Z parm:           NVreg_EnableStreamMemOPs:int
2025-11-03T16:28:12.4286963Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-11-03T16:28:12.4287250Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-11-03T16:28:12.4287730Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-11-03T16:28:12.4288035Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-11-03T16:28:12.4288336Z parm:           NVreg_DynamicPowerManagement:int
2025-11-03T16:28:12.4288639Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-11-03T16:28:12.4289056Z parm:           NVreg_EnableGpuFirmware:int
2025-11-03T16:28:12.4289311Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-11-03T16:28:12.4289579Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-11-03T16:28:12.4289868Z parm:           NVreg_EnableUserNUMAManagement:int
2025-11-03T16:28:12.4290135Z parm:           NVreg_MemoryPoolSize:int
2025-11-03T16:28:12.4290375Z parm:           NVreg_KMallocHeapMaxSize:int
2025-11-03T16:28:12.4290624Z parm:           NVreg_VMallocHeapMaxSize:int
2025-11-03T16:28:12.4290863Z parm:           NVreg_IgnoreMMIOCheck:int
2025-11-03T16:28:12.4291099Z parm:           NVreg_NvLinkDisable:int
2025-11-03T16:28:12.4291378Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-11-03T16:28:12.4291660Z parm:           NVreg_RegisterPCIDriver:int
2025-11-03T16:28:12.4291926Z parm:           NVreg_RegisterPlatformDeviceDriver:int
2025-11-03T16:28:12.4292188Z parm:           NVreg_EnableResizableBar:int
2025-11-03T16:28:12.4292434Z parm:           NVreg_EnableDbgBreakpoint:int
2025-11-03T16:28:12.4292697Z parm:           NVreg_EnableNonblockingOpen:int
2025-11-03T16:28:12.4292960Z parm:           NVreg_CoherentGPUMemoryMode:charp
2025-11-03T16:28:12.4293207Z parm:           NVreg_RegistryDwords:charp
2025-11-03T16:28:12.4293458Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-11-03T16:28:12.4293724Z parm:           NVreg_RmMsg:charp
2025-11-03T16:28:12.4293939Z parm:           NVreg_GpuBlacklist:charp
2025-11-03T16:28:12.4294178Z parm:           NVreg_TemporaryFilePath:charp
2025-11-03T16:28:12.4294420Z parm:           NVreg_ExcludedGpus:charp
2025-11-03T16:28:12.4294654Z parm:           NVreg_DmaRemapPeerMmio:int
2025-11-03T16:28:12.4294897Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-11-03T16:28:12.4295153Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-11-03T16:28:12.4295415Z parm:           NVreg_ImexChannelCount:int
2025-11-03T16:28:12.4295653Z parm:           NVreg_CreateImexChannel0:int
2025-11-03T16:28:12.4295909Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-11-03T16:28:12.4296161Z parm:           rm_firmware_active:charp
2025-11-03T16:28:12.4296476Z + set +e
2025-11-03T16:28:12.4296622Z + nvidia-smi
2025-11-03T16:28:13.8666474Z Mon Nov  3 16:28:13 2025       
2025-11-03T16:28:13.8667254Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:28:13.8668144Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-11-03T16:28:13.8668604Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T16:28:13.8669083Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-11-03T16:28:13.8669639Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-11-03T16:28:13.8670034Z |                                         |                        |               MIG M. |
2025-11-03T16:28:13.8670338Z |=========================================+========================+======================|
2025-11-03T16:28:13.8733918Z |   0  NVIDIA L4                      Off |   00000000:35:00.0 Off |                    0 |
2025-11-03T16:28:13.8734376Z | N/A   35C    P0             29W /   72W |       0MiB /  23034MiB |      4%      Default |
2025-11-03T16:28:13.8734756Z |                                         |                        |                  N/A |
2025-11-03T16:28:13.8735123Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T16:28:13.8735408Z 
2025-11-03T16:28:13.8735579Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:28:13.8736295Z | Processes:                                                                              |
2025-11-03T16:28:13.8736696Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-11-03T16:28:13.8737222Z |        ID   ID                                                               Usage      |
2025-11-03T16:28:13.8737493Z |=========================================================================================|
2025-11-03T16:28:13.8738755Z |  No running processes found                                                             |
2025-11-03T16:28:13.8739114Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:28:14.2026036Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-11-03T16:28:15.6375717Z NVIDIA L4
2025-11-03T16:28:15.8188557Z + NVIDIA_SMI_STATUS=0
2025-11-03T16:28:15.8188844Z + '[' 0 -eq 0 ']'
2025-11-03T16:28:15.8189054Z + echo 'INFO: Ignoring allowed status 0'
2025-11-03T16:28:15.8189311Z + set -e
2025-11-03T16:28:15.8189477Z INFO: Ignoring allowed status 0
2025-11-03T16:28:15.8196832Z == Installing nvidia container toolkit for amzn2023 ==
2025-11-03T16:28:15.8200841Z + sudo yum install -y yum-utils
2025-11-03T16:28:16.2891727Z Last metadata expiration check: 0:07:48 ago on Mon Nov  3 16:20:28 2025.
2025-11-03T16:28:16.3117964Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed.
2025-11-03T16:28:16.3539610Z Dependencies resolved.
2025-11-03T16:28:16.3764397Z Nothing to do.
2025-11-03T16:28:16.3764645Z Complete!
2025-11-03T16:28:16.4372325Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2025-11-03T16:28:16.4372962Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-11-03T16:28:16.4373822Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-11-03T16:28:16.7361186Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-11-03T16:28:16.7781342Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8
2025-11-03T16:28:17.3541745Z nvidia-container-toolkit                         24 kB/s | 833  B     00:00    
2025-11-03T16:28:17.4218502Z Dependencies resolved.
2025-11-03T16:28:17.4445274Z ================================================================================
2025-11-03T16:28:17.4445719Z  Package                       Arch   Version    Repository                Size
2025-11-03T16:28:17.4446099Z ================================================================================
2025-11-03T16:28:17.4446391Z Downgrading:
2025-11-03T16:28:17.4446746Z  libnvidia-container-tools     x86_64 1.17.8-1   nvidia-container-toolkit  40 k
2025-11-03T16:28:17.4447303Z  libnvidia-container1          x86_64 1.17.8-1   nvidia-container-toolkit 1.0 M
2025-11-03T16:28:17.4447874Z  nvidia-container-toolkit      x86_64 1.17.8-1   nvidia-container-toolkit 1.2 M
2025-11-03T16:28:17.4448453Z  nvidia-container-toolkit-base x86_64 1.17.8-1   nvidia-container-toolkit 5.8 M
2025-11-03T16:28:17.4448770Z 
2025-11-03T16:28:17.4448846Z Transaction Summary
2025-11-03T16:28:17.4449043Z ================================================================================
2025-11-03T16:28:17.4449297Z Downgrade  4 Packages
2025-11-03T16:28:17.4449409Z 
2025-11-03T16:28:17.4449497Z Total download size: 8.0 M
2025-11-03T16:28:17.4450518Z Downloading Packages:
2025-11-03T16:28:17.5900812Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 281 kB/s |  40 kB     00:00    
2025-11-03T16:28:17.6330617Z (2/4): nvidia-container-toolkit-1.17.8-1.x86_64 6.6 MB/s | 1.2 MB     00:00    
2025-11-03T16:28:17.6753028Z (3/4): libnvidia-container1-1.17.8-1.x86_64.rpm 4.3 MB/s | 1.0 MB     00:00    
2025-11-03T16:28:17.7691628Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x  32 MB/s | 5.8 MB     00:00    
2025-11-03T16:28:17.7700139Z --------------------------------------------------------------------------------
2025-11-03T16:28:17.7702487Z Total                                            25 MB/s | 8.0 MB     00:00     
2025-11-03T16:28:17.7705270Z Running transaction check
2025-11-03T16:28:17.7819069Z Transaction check succeeded.
2025-11-03T16:28:17.7819476Z Running transaction test
2025-11-03T16:28:17.8172140Z Transaction test succeeded.
2025-11-03T16:28:17.8174724Z Running transaction
2025-11-03T16:28:18.4622025Z   Preparing        :                                                        1/1 
2025-11-03T16:28:18.6098148Z   Downgrading      : nvidia-container-toolkit-base-1.17.8-1.x86_64          1/8 
2025-11-03T16:28:18.6240977Z   Downgrading      : libnvidia-container1-1.17.8-1.x86_64                   2/8 
2025-11-03T16:28:18.6772694Z   Running scriptlet: libnvidia-container1-1.17.8-1.x86_64                   2/8 
2025-11-03T16:28:18.7817225Z   Downgrading      : libnvidia-container-tools-1.17.8-1.x86_64              3/8 
2025-11-03T16:28:18.8074965Z   Downgrading      : nvidia-container-toolkit-1.17.8-1.x86_64               4/8 
2025-11-03T16:28:18.8184902Z   Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64               4/8 
2025-11-03T16:28:18.8185692Z   Cleanup          : nvidia-container-toolkit-1.18.0-1.x86_64               5/8 
2025-11-03T16:28:18.8534843Z   Running scriptlet: nvidia-container-toolkit-1.18.0-1.x86_64               5/8 
2025-11-03T16:28:18.8767918Z   Cleanup          : libnvidia-container-tools-1.18.0-1.x86_64              6/8 
2025-11-03T16:28:18.8768864Z   Cleanup          : libnvidia-container1-1.18.0-1.x86_64                   7/8 
2025-11-03T16:28:18.9689495Z   Running scriptlet: libnvidia-container1-1.18.0-1.x86_64                   7/8 
2025-11-03T16:28:18.9959578Z   Cleanup          : nvidia-container-toolkit-base-1.18.0-1.x86_64          8/8 
2025-11-03T16:28:19.0386632Z   Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64               8/8 
2025-11-03T16:29:11.1956536Z   Running scriptlet: nvidia-container-toolkit-base-1.18.0-1.x86_64          8/8 
2025-11-03T16:29:11.1957205Z   Verifying        : libnvidia-container-tools-1.17.8-1.x86_64              1/8 
2025-11-03T16:29:11.1957730Z   Verifying        : libnvidia-container-tools-1.18.0-1.x86_64              2/8 
2025-11-03T16:29:11.1958236Z   Verifying        : libnvidia-container1-1.17.8-1.x86_64                   3/8 
2025-11-03T16:29:11.1958712Z   Verifying        : libnvidia-container1-1.18.0-1.x86_64                   4/8 
2025-11-03T16:29:11.1959182Z   Verifying        : nvidia-container-toolkit-1.17.8-1.x86_64               5/8 
2025-11-03T16:29:11.1959650Z   Verifying        : nvidia-container-toolkit-1.18.0-1.x86_64               6/8 
2025-11-03T16:29:11.1960129Z   Verifying        : nvidia-container-toolkit-base-1.17.8-1.x86_64          7/8 
2025-11-03T16:29:11.3324390Z   Verifying        : nvidia-container-toolkit-base-1.18.0-1.x86_64          8/8================================================================================
2025-11-03T16:29:11.3324971Z WARNING:
2025-11-03T16:29:11.3325210Z   A newer release of "Amazon Linux" is available.
2025-11-03T16:29:11.3325447Z 
2025-11-03T16:29:11.3325556Z   Available Versions:
2025-11-03T16:29:11.3325702Z 
2025-11-03T16:29:11.3325787Z   Version 2023.9.20250929:
2025-11-03T16:29:11.3326086Z     Run the following command to upgrade to 2023.9.20250929:
2025-11-03T16:29:11.3326345Z 
2025-11-03T16:29:11.3326468Z       dnf upgrade --releasever=2023.9.20250929
2025-11-03T16:29:11.3326668Z 
2025-11-03T16:29:11.3326753Z     Release notes:
2025-11-03T16:29:11.3327148Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html
2025-11-03T16:29:11.3327522Z 
2025-11-03T16:29:11.3327610Z   Version 2023.9.20251014:
2025-11-03T16:29:11.3327900Z     Run the following command to upgrade to 2023.9.20251014:
2025-11-03T16:29:11.3328149Z 
2025-11-03T16:29:11.3328266Z       dnf upgrade --releasever=2023.9.20251014
2025-11-03T16:29:11.3328461Z 
2025-11-03T16:29:11.3328946Z     Release notes:
2025-11-03T16:29:11.3329321Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html
2025-11-03T16:29:11.3329668Z 
2025-11-03T16:29:11.3329748Z   Version 2023.9.20251020:
2025-11-03T16:29:11.3330029Z     Run the following command to upgrade to 2023.9.20251020:
2025-11-03T16:29:11.3330258Z 
2025-11-03T16:29:11.3330561Z       dnf upgrade --releasever=2023.9.20251020
2025-11-03T16:29:11.3330757Z 
2025-11-03T16:29:11.3331009Z     Release notes:
2025-11-03T16:29:11.3331382Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html
2025-11-03T16:29:11.3331729Z 
2025-11-03T16:29:11.3331808Z   Version 2023.9.20251027:
2025-11-03T16:29:11.3332099Z     Run the following command to upgrade to 2023.9.20251027:
2025-11-03T16:29:11.3332334Z 
2025-11-03T16:29:11.3332445Z       dnf upgrade --releasever=2023.9.20251027
2025-11-03T16:29:11.3332640Z 
2025-11-03T16:29:11.3332717Z     Release notes:
2025-11-03T16:29:11.3333088Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html
2025-11-03T16:29:11.3333447Z 
2025-11-03T16:29:11.3333570Z ================================================================================
2025-11-03T16:29:11.3782934Z  
2025-11-03T16:29:11.3783062Z 
2025-11-03T16:29:11.3783147Z Downgraded:
2025-11-03T16:29:11.3783507Z   libnvidia-container-tools-1.17.8-1.x86_64                                     
2025-11-03T16:29:11.3784033Z   libnvidia-container1-1.17.8-1.x86_64                                          
2025-11-03T16:29:11.3784535Z   nvidia-container-toolkit-1.17.8-1.x86_64                                      
2025-11-03T16:29:11.3785053Z   nvidia-container-toolkit-base-1.17.8-1.x86_64                                 
2025-11-03T16:29:11.3785366Z 
2025-11-03T16:29:11.3785455Z Complete!
2025-11-03T16:29:11.4484016Z + sudo systemctl restart docker
2025-11-03T16:29:17.7139117Z Mon Nov  3 16:29:17 2025       
2025-11-03T16:29:17.7139816Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:29:17.7140356Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-11-03T16:29:17.7140815Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T16:29:17.7141299Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-11-03T16:29:17.7141794Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-11-03T16:29:17.7142181Z |                                         |                        |               MIG M. |
2025-11-03T16:29:17.7142480Z |=========================================+========================+======================|
2025-11-03T16:29:17.7218485Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-11-03T16:29:17.7218930Z | N/A   35C    P0             29W /   72W |       0MiB /  23034MiB |      4%      Default |
2025-11-03T16:29:17.7219322Z |                                         |                        |                  N/A |
2025-11-03T16:29:17.7219685Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T16:29:17.7219966Z 
2025-11-03T16:29:17.7220122Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:29:17.7220521Z | Processes:                                                                              |
2025-11-03T16:29:17.7220924Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-11-03T16:29:17.7221293Z |        ID   ID                                                               Usage      |
2025-11-03T16:29:17.7221628Z |=========================================================================================|
2025-11-03T16:29:17.7223329Z |  No running processes found                                                             |
2025-11-03T16:29:17.7223856Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:29:17.8814215Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally
2025-11-03T16:29:18.0468703Z 3.13: Pulling from docker/library/python
2025-11-03T16:29:18.1390385Z 795dbedde24d: Pulling fs layer
2025-11-03T16:29:18.1390739Z 89d573bf42b3: Pulling fs layer
2025-11-03T16:29:18.1391326Z 26dfe2fac1c4: Pulling fs layer
2025-11-03T16:29:18.1391606Z 79d5bd8a8d26: Pulling fs layer
2025-11-03T16:29:18.1391852Z d53b4b1b9ebd: Pulling fs layer
2025-11-03T16:29:18.1392116Z 73ea62972d18: Pulling fs layer
2025-11-03T16:29:18.1392372Z eb23eeea1475: Pulling fs layer
2025-11-03T16:29:18.1392601Z eb23eeea1475: Waiting
2025-11-03T16:29:18.1392975Z 73ea62972d18: Waiting
2025-11-03T16:29:18.1393187Z d53b4b1b9ebd: Waiting
2025-11-03T16:29:18.1393393Z 79d5bd8a8d26: Waiting
2025-11-03T16:29:18.2636222Z 89d573bf42b3: Verifying Checksum
2025-11-03T16:29:18.2636525Z 89d573bf42b3: Download complete
2025-11-03T16:29:18.3003428Z 795dbedde24d: Verifying Checksum
2025-11-03T16:29:18.3004090Z 795dbedde24d: Download complete
2025-11-03T16:29:18.3694158Z d53b4b1b9ebd: Download complete
2025-11-03T16:29:18.4835098Z 73ea62972d18: Verifying Checksum
2025-11-03T16:29:18.4835578Z 73ea62972d18: Download complete
2025-11-03T16:29:18.5290789Z eb23eeea1475: Download complete
2025-11-03T16:29:18.5452334Z 26dfe2fac1c4: Verifying Checksum
2025-11-03T16:29:18.5452801Z 26dfe2fac1c4: Download complete
2025-11-03T16:29:19.1739652Z 79d5bd8a8d26: Verifying Checksum
2025-11-03T16:29:19.1739972Z 79d5bd8a8d26: Download complete
2025-11-03T16:29:19.5801188Z 795dbedde24d: Pull complete
2025-11-03T16:29:20.1173934Z 89d573bf42b3: Pull complete
2025-11-03T16:29:21.8662289Z 26dfe2fac1c4: Pull complete
2025-11-03T16:29:26.5323120Z 79d5bd8a8d26: Pull complete
2025-11-03T16:29:26.7707920Z d53b4b1b9ebd: Pull complete
2025-11-03T16:29:27.4860548Z 73ea62972d18: Pull complete
2025-11-03T16:29:27.6566051Z eb23eeea1475: Pull complete
2025-11-03T16:29:27.7886330Z Digest: sha256:12513c633252a28bcfee85839aa384e1af322f11275779c6645076c6cd0cfe52
2025-11-03T16:29:27.8292054Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13
2025-11-03T16:29:35.6056101Z Mon Nov  3 16:29:35 2025       
2025-11-03T16:29:35.6056460Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:29:35.6056895Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-11-03T16:29:35.6057271Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T16:29:35.6057659Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-11-03T16:29:35.6058065Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-11-03T16:29:35.6058382Z |                                         |                        |               MIG M. |
2025-11-03T16:29:35.6058629Z |=========================================+========================+======================|
2025-11-03T16:29:35.6160070Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-11-03T16:29:35.6160546Z | N/A   34C    P8             12W /   72W |       0MiB /  23034MiB |      0%      Default |
2025-11-03T16:29:35.6160940Z |                                         |                        |                  N/A |
2025-11-03T16:29:35.6161336Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T16:29:35.6163594Z 
2025-11-03T16:29:35.6163837Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:29:35.6164277Z | Processes:                                                                              |
2025-11-03T16:29:35.6164723Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-11-03T16:29:35.6165127Z |        ID   ID                                                               Usage      |
2025-11-03T16:29:35.6165698Z |=========================================================================================|
2025-11-03T16:29:35.6168734Z |  No running processes found                                                             |
2025-11-03T16:29:35.6169322Z +-----------------------------------------------------------------------------------------+
2025-11-03T16:29:36.9879605Z Command completed after 1 attempt(s).
2025-11-03T16:29:36.9964832Z Prepare all required actions
2025-11-03T16:29:37.0000597Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-11-03T16:29:37.0000861Z with:
2025-11-03T16:29:37.0001442Z   github-token: ***
2025-11-03T16:29:37.0001631Z env:
2025-11-03T16:29:37.0001805Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:29:37.0002054Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:29:37.0002318Z ##[endgroup]
2025-11-03T16:29:37.0023398Z ##[group]Run set -eux
2025-11-03T16:29:37.0023595Z set -eux
2025-11-03T16:29:37.0023926Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-11-03T16:29:37.0036217Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:29:37.0036504Z env:
2025-11-03T16:29:37.0036673Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:29:37.0036922Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:29:37.0037308Z   GITHUB_TOKEN: ***
2025-11-03T16:29:37.0037478Z ##[endgroup]
2025-11-03T16:29:37.0071148Z + python3 .github/scripts/get_workflow_job_id.py 19040285449 i-086a042e332940233
2025-11-03T16:29:38.3473274Z Setting output job-id=54378933335
2025-11-03T16:29:38.3474198Z Setting output job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T16:29:38.3593203Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-11-03T16:29:38.3593835Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-11-03T16:29:38.3594554Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-11-03T16:29:38.3595170Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:29:38.3602732Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:29:38.3603025Z env:
2025-11-03T16:29:38.3603187Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:29:38.3603444Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:29:38.3603821Z   JOB_ID: 54378933335
2025-11-03T16:29:38.3604208Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T16:29:38.3604661Z   WORKFLOW_NAME: trunk
2025-11-03T16:29:38.3604862Z   WORKFLOW_RUN_ID: 19040285449
2025-11-03T16:29:38.3605059Z   MONITOR_LOG_INTERVAL: 5
2025-11-03T16:29:38.3605254Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-11-03T16:29:38.3605460Z ##[endgroup]
2025-11-03T16:29:38.6422142Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:29:38.9605585Z Collecting psutil==5.9.8
2025-11-03T16:29:38.9760305Z   Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB)
2025-11-03T16:29:39.0423064Z Collecting dataclasses_json==0.6.7
2025-11-03T16:29:39.0454877Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-11-03T16:29:39.0706283Z Collecting nvidia-ml-py==11.525.84
2025-11-03T16:29:39.0746297Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-11-03T16:29:39.1031015Z Collecting typing-inspect<1,>=0.4.0
2025-11-03T16:29:39.1067081Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-11-03T16:29:39.2053684Z Collecting marshmallow<4.0.0,>=3.18.0
2025-11-03T16:29:39.2088376Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-11-03T16:29:39.2584660Z Collecting packaging>=17.0
2025-11-03T16:29:39.2615598Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-11-03T16:29:39.2818759Z Collecting mypy-extensions>=0.3.0
2025-11-03T16:29:39.2850043Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-11-03T16:29:39.3273066Z Collecting typing-extensions>=3.7.4
2025-11-03T16:29:39.3308626Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-11-03T16:29:39.4269792Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-11-03T16:29:39.6655354Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0
2025-11-03T16:29:39.8218255Z Prepare all required actions
2025-11-03T16:29:39.8218777Z Getting action download info
2025-11-03T16:29:40.0147592Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-11-03T16:29:40.2461335Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-11-03T16:29:40.6168802Z ##[group]Run ./.github/actions/download-build-artifacts
2025-11-03T16:29:40.6169084Z with:
2025-11-03T16:29:40.6169273Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-11-03T16:29:40.6169511Z   s3-bucket: gha-artifacts
2025-11-03T16:29:40.6169704Z env:
2025-11-03T16:29:40.6169858Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:29:40.6170107Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:29:40.6170378Z ##[endgroup]
2025-11-03T16:29:40.6201794Z ##[group]Run seemethere/download-artifact-s3@v4
2025-11-03T16:29:40.6202052Z with:
2025-11-03T16:29:40.6202275Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-11-03T16:29:40.6202515Z   s3-bucket: gha-artifacts
2025-11-03T16:29:40.6202716Z   region: us-east-1
2025-11-03T16:29:40.6202887Z env:
2025-11-03T16:29:40.6203046Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:29:40.6203287Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:29:40.6203676Z ##[endgroup]
2025-11-03T16:29:41.0560367Z (node:58738) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-11-03T16:29:41.0560826Z 
2025-11-03T16:29:41.0561010Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-11-03T16:29:41.0561531Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-11-03T16:29:41.0562054Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-11-03T16:29:41.3637718Z Found 1 objects with prefix pytorch/pytorch/19040285449/linux-jammy-cuda12.8-py3.10-gcc11/
2025-11-03T16:29:41.3638430Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-11-03T16:29:50.0583769Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-11-03T16:29:50.0589123Z Artifact download has finished successfully
2025-11-03T16:29:50.0865995Z ##[group]Run unzip -o artifacts.zip
2025-11-03T16:29:50.0866271Z unzip -o artifacts.zip
2025-11-03T16:29:50.0875118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:29:50.0875414Z env:
2025-11-03T16:29:50.0875587Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:29:50.0875845Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:29:50.0876110Z ##[endgroup]
2025-11-03T16:29:50.0961003Z Archive:  artifacts.zip
2025-11-03T16:29:50.0962375Z    creating: dist/
2025-11-03T16:29:52.0121285Z   inflating: dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl  
2025-11-03T16:29:52.0237284Z   inflating: dist/.ninja_log         
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2025-11-03T16:30:00.4854928Z    creating: .additional_ci_files/
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2025-11-03T16:30:00.5118115Z ##[group]Run rm artifacts.zip
2025-11-03T16:30:00.5118357Z rm artifacts.zip
2025-11-03T16:30:00.5127714Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:30:00.5128003Z env:
2025-11-03T16:30:00.5128156Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:00.5128409Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:00.5128668Z ##[endgroup]
2025-11-03T16:30:00.6469425Z ##[group]Run df -H
2025-11-03T16:30:00.6469782Z df -H
2025-11-03T16:30:00.6476805Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:30:00.6477080Z env:
2025-11-03T16:30:00.6477241Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:00.6477494Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:00.6477782Z ##[endgroup]
2025-11-03T16:30:00.6523788Z Filesystem        Size  Used Avail Use% Mounted on
2025-11-03T16:30:00.6524146Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-11-03T16:30:00.6524456Z tmpfs              33G     0   33G   0% /dev/shm
2025-11-03T16:30:00.6524754Z tmpfs              13G  775k   13G   1% /run
2025-11-03T16:30:00.6525045Z /dev/nvme0n1p1    161G   54G  108G  34% /
2025-11-03T16:30:00.6525345Z tmpfs              33G   13k   33G   1% /tmp
2025-11-03T16:30:00.6525655Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-11-03T16:30:00.6525973Z tmpfs             6.5G     0  6.5G   0% /run/user/0
2025-11-03T16:30:00.6556523Z Prepare all required actions
2025-11-03T16:30:00.6557072Z Getting action download info
2025-11-03T16:30:00.8957053Z ##[group]Run ./.github/actions/download-td-artifacts
2025-11-03T16:30:00.8957307Z with:
2025-11-03T16:30:00.8957458Z env:
2025-11-03T16:30:00.8957612Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:00.8957869Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:00.8958128Z ##[endgroup]
2025-11-03T16:30:00.9109462Z ##[group]Run seemethere/download-artifact-s3@v4
2025-11-03T16:30:00.9109713Z with:
2025-11-03T16:30:00.9109868Z   name: td_results
2025-11-03T16:30:00.9110039Z   s3-bucket: gha-artifacts
2025-11-03T16:30:00.9110231Z   region: us-east-1
2025-11-03T16:30:00.9110408Z env:
2025-11-03T16:30:00.9110564Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:00.9110803Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:00.9111070Z ##[endgroup]
2025-11-03T16:30:01.3094969Z (node:58763) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-11-03T16:30:01.3095672Z 
2025-11-03T16:30:01.3095946Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-11-03T16:30:01.3096689Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-11-03T16:30:01.3097505Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-11-03T16:30:01.4155723Z Found 1 objects with prefix pytorch/pytorch/19040285449/td_results/
2025-11-03T16:30:01.4156358Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-11-03T16:30:01.4876664Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-11-03T16:30:01.4881700Z Artifact download has finished successfully
2025-11-03T16:30:01.5129061Z ##[group]Run mkdir -p .additional_ci_files
2025-11-03T16:30:01.5129348Z mkdir -p .additional_ci_files
2025-11-03T16:30:01.5129684Z mv td_results.json .additional_ci_files/td_results.json || true
2025-11-03T16:30:01.5138795Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:30:01.5139084Z env:
2025-11-03T16:30:01.5139241Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:01.5139497Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:01.5139758Z ##[endgroup]
2025-11-03T16:30:01.5248192Z ##[group]Run .github/scripts/parse_ref.py
2025-11-03T16:30:01.5248507Z .github/scripts/parse_ref.py
2025-11-03T16:30:01.5255463Z shell: /usr/bin/bash -e {0}
2025-11-03T16:30:01.5255656Z env:
2025-11-03T16:30:01.5255820Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:01.5256072Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:01.5256330Z ##[endgroup]
2025-11-03T16:30:01.5456648Z Setting output branch=main
2025-11-03T16:30:01.5555248Z Prepare all required actions
2025-11-03T16:30:01.5555753Z Getting action download info
2025-11-03T16:30:01.6970909Z ##[group]Run ./.github/actions/filter-test-configs
2025-11-03T16:30:01.6971231Z with:
2025-11-03T16:30:01.6971693Z   github-token: ***
2025-11-03T16:30:01.6974393Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}
2025-11-03T16:30:01.6977368Z   job-name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T16:30:01.6977866Z env:
2025-11-03T16:30:01.6978105Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:01.6978509Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:01.6978863Z ##[endgroup]
2025-11-03T16:30:01.7022897Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:30:01.7023110Z with:
2025-11-03T16:30:01.7023259Z   shell: bash
2025-11-03T16:30:01.7023418Z   timeout_minutes: 10
2025-11-03T16:30:01.7023593Z   max_attempts: 5
2025-11-03T16:30:01.7023758Z   retry_wait_seconds: 30
2025-11-03T16:30:01.7024351Z   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==6.0.2

2025-11-03T16:30:01.7024950Z   polling_interval_seconds: 1
2025-11-03T16:30:01.7025153Z   warning_on_retry: true
2025-11-03T16:30:01.7025336Z   continue_on_error: false
2025-11-03T16:30:01.7025522Z env:
2025-11-03T16:30:01.7025672Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:01.7025911Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:01.7026313Z   GITHUB_TOKEN: ***
2025-11-03T16:30:01.7026484Z ##[endgroup]
2025-11-03T16:30:01.7928125Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-11-03T16:30:01.9995434Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:30:02.1017539Z Collecting requests==2.27.1
2025-11-03T16:30:02.1173563Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-11-03T16:30:02.2764550Z Collecting pyyaml==6.0.2
2025-11-03T16:30:02.2804247Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-11-03T16:30:02.3116690Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-11-03T16:30:02.6564386Z Collecting charset-normalizer~=2.0.0
2025-11-03T16:30:02.6604407Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-11-03T16:30:02.7058442Z Collecting certifi>=2017.4.17
2025-11-03T16:30:02.7093773Z   Downloading certifi-2025.10.5-py3-none-any.whl (163 kB)
2025-11-03T16:30:02.7169809Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-11-03T16:30:02.7879967Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-11-03T16:30:02.8987291Z Successfully installed certifi-2025.10.5 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-11-03T16:30:03.7712719Z Command completed after 1 attempt(s).
2025-11-03T16:30:03.7776964Z ##[group]Run set -x
2025-11-03T16:30:03.7777415Z set -x
2025-11-03T16:30:03.7777596Z 
2025-11-03T16:30:03.7777882Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-11-03T16:30:03.7778229Z # in runner workspace
2025-11-03T16:30:03.7778505Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-11-03T16:30:03.7787294Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:30:03.7787587Z env:
2025-11-03T16:30:03.7787760Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:03.7788011Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:03.7788282Z ##[endgroup]
2025-11-03T16:30:03.7815630Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-11-03T16:30:03.7983471Z Setting output branch=main
2025-11-03T16:30:03.8047128Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-11-03T16:30:03.8047632Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-11-03T16:30:03.8048079Z echo "Job name: ${JOB_NAME}"
2025-11-03T16:30:03.8048456Z 
2025-11-03T16:30:03.8049033Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-11-03T16:30:03.8049644Z # in runner workspace
2025-11-03T16:30:03.8050176Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-11-03T16:30:03.8050777Z   --workflow "${GITHUB_WORKFLOW}" \
2025-11-03T16:30:03.8051206Z   --job-name "${JOB_NAME}" \
2025-11-03T16:30:03.8055682Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}" \
2025-11-03T16:30:03.8060027Z   --selected-test-configs "" \
2025-11-03T16:30:03.8060483Z   --pr-number "${PR_NUMBER}" \
2025-11-03T16:30:03.8060958Z   --tag "${TAG}" \
2025-11-03T16:30:03.8061340Z   --event-name "${EVENT_NAME}" \
2025-11-03T16:30:03.8061809Z   --schedule "${SCHEDULE}" \
2025-11-03T16:30:03.8062215Z   --branch "${HEAD_BRANCH}"
2025-11-03T16:30:03.8069741Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:30:03.8070033Z env:
2025-11-03T16:30:03.8070191Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:03.8070435Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:03.8070965Z   GITHUB_TOKEN: ***
2025-11-03T16:30:03.8071655Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T16:30:03.8072356Z   PR_NUMBER: 
2025-11-03T16:30:03.8072521Z   TAG: 
2025-11-03T16:30:03.8072675Z   EVENT_NAME: push
2025-11-03T16:30:03.8072841Z   SCHEDULE: 
2025-11-03T16:30:03.8073214Z   HEAD_BRANCH: main
2025-11-03T16:30:03.8073379Z ##[endgroup]
2025-11-03T16:30:03.8097927Z Workflow: trunk
2025-11-03T16:30:03.8098455Z Job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T16:30:04.0615120Z Setting output keep-going=True
2025-11-03T16:30:04.0615453Z Setting output ci-verbose-test-logs=False
2025-11-03T16:30:04.0616071Z Setting output ci-test-showlocals=False
2025-11-03T16:30:04.0616393Z Setting output ci-no-test-timeout=False
2025-11-03T16:30:04.0616701Z Setting output ci-no-td=False
2025-11-03T16:30:04.0616978Z Setting output ci-td-distributed=False
2025-11-03T16:30:04.0617285Z Setting output is-unstable=False
2025-11-03T16:30:04.0617571Z Setting output reenabled-issues=
2025-11-03T16:30:04.0620586Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}
2025-11-03T16:30:04.0623603Z Setting output is-test-matrix-empty=False
2025-11-03T16:30:04.0751340Z ##[group]Run echo "Filtered matrix:"
2025-11-03T16:30:04.0751604Z echo "Filtered matrix:"
2025-11-03T16:30:04.0753971Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}"
2025-11-03T16:30:04.0756314Z 
2025-11-03T16:30:04.0756467Z echo
2025-11-03T16:30:04.0756661Z echo "Is the current job unstable? False"
2025-11-03T16:30:04.0756903Z 
2025-11-03T16:30:04.0757063Z echo
2025-11-03T16:30:04.0757246Z echo "Is keep-going label set? True"
2025-11-03T16:30:04.0757469Z 
2025-11-03T16:30:04.0757627Z echo
2025-11-03T16:30:04.0770267Z echo "Reenabled issues? "
2025-11-03T16:30:04.0778900Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:30:04.0779183Z env:
2025-11-03T16:30:04.0779344Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:04.0779588Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:04.0779849Z ##[endgroup]
2025-11-03T16:30:04.0806256Z Filtered matrix:
2025-11-03T16:30:04.0809795Z {include: [{config: default, shard: 1, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 2, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 3, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 4, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 5, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu}, {config: distributed, shard: 1, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu}, {config: distributed, shard: 2, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu}, {config: distributed, shard: 3, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu}, {config: pr_time_benchmarks, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu}]}
2025-11-03T16:30:04.0812737Z 
2025-11-03T16:30:04.0812860Z Is the current job unstable? False
2025-11-03T16:30:04.0813055Z 
2025-11-03T16:30:04.0813154Z Is keep-going label set? True
2025-11-03T16:30:04.0813319Z 
2025-11-03T16:30:04.0813409Z Reenabled issues? 
2025-11-03T16:30:04.0861379Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-11-03T16:30:04.0861812Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-11-03T16:30:04.0869101Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:30:04.0869378Z env:
2025-11-03T16:30:04.0869554Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:04.0869810Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:04.0870072Z   JOB_TIMEOUT: 360
2025-11-03T16:30:04.0870235Z ##[endgroup]
2025-11-03T16:30:04.0930861Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:30:04.0931319Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:30:04.0931677Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:30:04.0938430Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:30:04.0938742Z env:
2025-11-03T16:30:04.0938905Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:04.0939160Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:04.0939445Z ##[endgroup]
2025-11-03T16:30:04.1040579Z ##[group]Run set -x
2025-11-03T16:30:04.1040872Z set -x
2025-11-03T16:30:04.1041058Z 
2025-11-03T16:30:04.1041276Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-11-03T16:30:04.1041585Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-11-03T16:30:04.1041891Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-11-03T16:30:04.1042173Z   TEST_COMMAND=.ci/onnx/test.sh
2025-11-03T16:30:04.1042398Z else
2025-11-03T16:30:04.1042599Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-11-03T16:30:04.1042837Z fi
2025-11-03T16:30:04.1043003Z 
2025-11-03T16:30:04.1043200Z # Leaving 1GB for the runner and other things
2025-11-03T16:30:04.1043748Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-11-03T16:30:04.1044408Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-11-03T16:30:04.1044936Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-11-03T16:30:04.1045318Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-11-03T16:30:04.1045629Z 
2025-11-03T16:30:04.1045829Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-11-03T16:30:04.1046089Z   SHM_OPTS=
2025-11-03T16:30:04.1046286Z   JENKINS_USER=
2025-11-03T16:30:04.1046548Z   # ensure that docker container cleanly exits in 12 hours
2025-11-03T16:30:04.1046897Z   # if for some reason cleanup action doesn't stop container
2025-11-03T16:30:04.1047188Z   # when job is cancelled
2025-11-03T16:30:04.1047421Z   DOCKER_SHELL_CMD="sleep 12h"
2025-11-03T16:30:04.1047639Z else
2025-11-03T16:30:04.1047833Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-11-03T16:30:04.1048082Z   JENKINS_USER="--user jenkins"
2025-11-03T16:30:04.1048491Z   DOCKER_SHELL_CMD=
2025-11-03T16:30:04.1048684Z fi
2025-11-03T16:30:04.1048845Z 
2025-11-03T16:30:04.1049098Z # detached container should get cleaned up by teardown_ec2_linux
2025-11-03T16:30:04.1049480Z # TODO: Stop building test binaries as part of the build phase
2025-11-03T16:30:04.1049912Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-11-03T16:30:04.1050294Z # shellcheck disable=SC2086,SC2090
2025-11-03T16:30:04.1050560Z container_name=$(docker run \
2025-11-03T16:30:04.1050795Z   ${GPU_FLAG:-} \
2025-11-03T16:30:04.1051025Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-11-03T16:30:04.1051284Z   -e BUILD_ENVIRONMENT \
2025-11-03T16:30:04.1051515Z   -e PR_NUMBER \
2025-11-03T16:30:04.1051726Z   -e GITHUB_ACTIONS \
2025-11-03T16:30:04.1051948Z   -e GITHUB_REPOSITORY \
2025-11-03T16:30:04.1052175Z   -e GITHUB_WORKFLOW \
2025-11-03T16:30:04.1052390Z   -e GITHUB_JOB \
2025-11-03T16:30:04.1052599Z   -e GITHUB_RUN_ID \
2025-11-03T16:30:04.1052812Z   -e GITHUB_RUN_NUMBER \
2025-11-03T16:30:04.1053026Z   -e GITHUB_RUN_ATTEMPT \
2025-11-03T16:30:04.1053249Z   -e JOB_ID \
2025-11-03T16:30:04.1053446Z   -e JOB_NAME \
2025-11-03T16:30:04.1053643Z   -e BASE_SHA \
2025-11-03T16:30:04.1053830Z   -e BRANCH \
2025-11-03T16:30:04.1054019Z   -e SHA1 \
2025-11-03T16:30:04.1054214Z   -e AWS_DEFAULT_REGION \
2025-11-03T16:30:04.1054432Z   -e IN_WHEEL_TEST \
2025-11-03T16:30:04.1054634Z   -e SHARD_NUMBER \
2025-11-03T16:30:04.1054840Z   -e TEST_CONFIG \
2025-11-03T16:30:04.1055044Z   -e NUM_TEST_SHARDS \
2025-11-03T16:30:04.1055264Z   -e REENABLED_ISSUES \
2025-11-03T16:30:04.1055486Z   -e CONTINUE_THROUGH_ERROR \
2025-11-03T16:30:04.1055851Z   -e VERBOSE_TEST_LOGS \
2025-11-03T16:30:04.1056074Z   -e TEST_SHOWLOCALS \
2025-11-03T16:30:04.1056286Z   -e NO_TEST_TIMEOUT \
2025-11-03T16:30:04.1056486Z   -e NO_TD \
2025-11-03T16:30:04.1056676Z   -e TD_DISTRIBUTED \
2025-11-03T16:30:04.1056903Z   -e PR_LABELS \
2025-11-03T16:30:04.1057133Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-11-03T16:30:04.1057376Z   -e SCCACHE_BUCKET \
2025-11-03T16:30:04.1057587Z   -e SCCACHE_REGION \
2025-11-03T16:30:04.1057793Z   -e XLA_CUDA \
2025-11-03T16:30:04.1058007Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-11-03T16:30:04.1058268Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-11-03T16:30:04.1058534Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-11-03T16:30:04.1058812Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-11-03T16:30:04.1059070Z   -e HUGGING_FACE_HUB_TOKEN \
2025-11-03T16:30:04.1059351Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-11-03T16:30:04.1059612Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-11-03T16:30:04.1059858Z   -e DASHBOARD_TAG \
2025-11-03T16:30:04.1060078Z   -e ARTIFACTS_FILE_SUFFIX \
2025-11-03T16:30:04.1060344Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-11-03T16:30:04.1060647Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-11-03T16:30:04.1060953Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-11-03T16:30:04.1061242Z   --security-opt seccomp=unconfined \
2025-11-03T16:30:04.1061497Z   --cap-add=SYS_PTRACE \
2025-11-03T16:30:04.1061717Z   --ipc=host \
2025-11-03T16:30:04.1061909Z   ${SHM_OPTS} \
2025-11-03T16:30:04.1062102Z   --tty \
2025-11-03T16:30:04.1062284Z   --detach \
2025-11-03T16:30:04.1062491Z   --name="${container_name}" \
2025-11-03T16:30:04.1062719Z   ${JENKINS_USER} \
2025-11-03T16:30:04.1063084Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-11-03T16:30:04.1063379Z   -w /var/lib/jenkins/workspace \
2025-11-03T16:30:04.1063616Z   "${DOCKER_IMAGE}" \
2025-11-03T16:30:04.1063821Z   ${DOCKER_SHELL_CMD}
2025-11-03T16:30:04.1064025Z )
2025-11-03T16:30:04.1064275Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-11-03T16:30:04.1064576Z 
2025-11-03T16:30:04.1064772Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-11-03T16:30:04.1065205Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-11-03T16:30:04.1065585Z fi
2025-11-03T16:30:04.1065747Z 
2025-11-03T16:30:04.1066102Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-11-03T16:30:04.1073226Z shell: /usr/bin/bash -e {0}
2025-11-03T16:30:04.1073462Z env:
2025-11-03T16:30:04.1073636Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:30:04.1073900Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:04.1074218Z   BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc11
2025-11-03T16:30:04.1074483Z   PR_NUMBER: 
2025-11-03T16:30:04.1074671Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-11-03T16:30:04.1074901Z   GITHUB_WORKFLOW: trunk
2025-11-03T16:30:04.1075089Z   GITHUB_JOB: test
2025-11-03T16:30:04.1075287Z   GITHUB_RUN_ID: 19040285449
2025-11-03T16:30:04.1075493Z   GITHUB_RUN_NUMBER: 153984
2025-11-03T16:30:04.1075695Z   GITHUB_RUN_ATTEMPT: 1
2025-11-03T16:30:04.1075875Z   JOB_ID: 54378933335
2025-11-03T16:30:04.1076264Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T16:30:04.1076694Z   BRANCH: main
2025-11-03T16:30:04.1076900Z   SHA1: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:30:04.1077172Z   BASE_SHA: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:30:04.1077583Z   TEST_CONFIG: default
2025-11-03T16:30:04.1077779Z   SHARD_NUMBER: 1
2025-11-03T16:30:04.1077958Z   NUM_TEST_SHARDS: 5
2025-11-03T16:30:04.1078128Z   EXTRA_FLAGS: 
2025-11-03T16:30:04.1078306Z   OP_BENCHMARK_TESTS: 
2025-11-03T16:30:04.1078493Z   REENABLED_ISSUES: 
2025-11-03T16:30:04.1078683Z   CONTINUE_THROUGH_ERROR: True
2025-11-03T16:30:04.1078891Z   VERBOSE_TEST_LOGS: False
2025-11-03T16:30:04.1079094Z   TEST_SHOWLOCALS: False
2025-11-03T16:30:04.1079288Z   NO_TEST_TIMEOUT: False
2025-11-03T16:30:04.1079473Z   NO_TD: False
2025-11-03T16:30:04.1079638Z   TD_DISTRIBUTED: False
2025-11-03T16:30:04.1079885Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-11-03T16:30:04.1080155Z   SCCACHE_REGION: us-east-1
2025-11-03T16:30:04.1080350Z   SHM_SIZE: 2g
2025-11-03T16:30:04.1080911Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:30:04.1081500Z   XLA_CUDA: 
2025-11-03T16:30:04.1081778Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:30:04.1082118Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-11-03T16:30:04.1082361Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-11-03T16:30:04.1082581Z   DASHBOARD_TAG: 
2025-11-03T16:30:04.1082915Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-11-03T16:30:04.1083226Z   HUGGING_FACE_HUB_TOKEN: ***
2025-11-03T16:30:04.1083619Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-11-03T16:30:04.1084023Z   ARTIFACTS_FILE_SUFFIX: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335
2025-11-03T16:30:04.1084424Z ##[endgroup]
2025-11-03T16:30:04.1108402Z + [[ default == \m\u\l\t\i\g\p\u ]]
2025-11-03T16:30:04.1108758Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *onnx* ]]
2025-11-03T16:30:04.1109094Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-11-03T16:30:04.1111815Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-11-03T16:30:04.1133003Z + TOTAL_AVAILABLE_MEMORY_IN_GB='59.453 '
2025-11-03T16:30:04.1133564Z + TOTAL_MEMORY_WITH_SWAP=62
2025-11-03T16:30:04.1133873Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-11-03T16:30:04.1134201Z + SHM_OPTS=--shm-size=2g
2025-11-03T16:30:04.1134438Z + JENKINS_USER='--user jenkins'
2025-11-03T16:30:04.1134683Z + DOCKER_SHELL_CMD=
2025-11-03T16:30:04.1142070Z +++ nproc --ignore=2
2025-11-03T16:30:04.1175538Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -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 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 VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=59g --memory-swap=62g --env-file=/tmp/github_env_19040285449 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --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/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:30:13.9040148Z + container_name=6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T16:30:13.9040715Z + echo DOCKER_CONTAINER_ID=6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T16:30:13.9041589Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-11-03T16:30:13.9047298Z ++ echo dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl
2025-11-03T16:30:13.9049961Z + docker exec -t 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423 sh -c 'python3 -m pip install dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-11-03T16:30:14.3336415Z Processing ./dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+git3f6538f)
2025-11-03T16:30:14.6621660Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.18.0)
2025-11-03T16:30:14.6625283Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (4.12.2)
2025-11-03T16:30:14.6629628Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (1.13.3)
2025-11-03T16:30:14.6634214Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (2.8.8)
2025-11-03T16:30:14.6638032Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.1.6)
2025-11-03T16:30:14.6642557Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (2025.9.0)
2025-11-03T16:30:14.6655410Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.3.0)
2025-11-03T16:30:14.6972885Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (1.22.4)
2025-11-03T16:30:14.6990264Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (1.3.0)
2025-11-03T16:30:14.7040447Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.0.3)
2025-11-03T16:30:15.0150748Z Installing collected packages: torch
2025-11-03T16:30:24.9263065Z Successfully installed torch-2.10.0a0+git3f6538f
2025-11-03T16:30:24.9737380Z + export TERM=vt100
2025-11-03T16:30:24.9737787Z + TERM=vt100
2025-11-03T16:30:24.9739455Z ++ dirname .ci/pytorch/test.sh
2025-11-03T16:30:24.9749446Z + source .ci/pytorch/common.sh
2025-11-03T16:30:24.9752571Z +++ dirname .ci/pytorch/common.sh
2025-11-03T16:30:24.9760181Z ++ source .ci/pytorch/common_utils.sh
2025-11-03T16:30:24.9761335Z +++ declare -f -t trap_add
2025-11-03T16:30:24.9765662Z ++ set -ex -o pipefail
2025-11-03T16:30:24.9766194Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-11-03T16:30:24.9766723Z ++ BUILD_TEST_LIBTORCH=0
2025-11-03T16:30:24.9769137Z ++ dirname .ci/pytorch/test.sh
2025-11-03T16:30:24.9776209Z + source .ci/pytorch/common-build.sh
2025-11-03T16:30:24.9778154Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 != *win-* ]]
2025-11-03T16:30:24.9783410Z ++++ dirname .ci/pytorch/common-build.sh
2025-11-03T16:30:24.9791447Z +++ cd .ci/pytorch
2025-11-03T16:30:24.9791709Z +++ pwd -P
2025-11-03T16:30:24.9794033Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-11-03T16:30:24.9794468Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-pch* ]]
2025-11-03T16:30:24.9794780Z ++ which sccache
2025-11-03T16:30:24.9809133Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-11-03T16:30:24.9809401Z ++ sccache --stop-server
2025-11-03T16:30:24.9837136Z ++ true
2025-11-03T16:30:24.9837692Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-11-03T16:30:24.9848937Z ++ trap_add sccache_epilogue EXIT
2025-11-03T16:30:24.9849601Z ++ trap_add_cmd=sccache_epilogue
2025-11-03T16:30:24.9849832Z ++ shift
2025-11-03T16:30:24.9850012Z ++ for trap_add_name in "$@"
2025-11-03T16:30:24.9855176Z ++++ trap -p EXIT
2025-11-03T16:30:24.9857656Z +++ eval 'extract_trap_cmd '
2025-11-03T16:30:24.9857889Z ++++ extract_trap_cmd
2025-11-03T16:30:24.9858180Z ++++ printf '%s\n' ''
2025-11-03T16:30:24.9858378Z +++ printf '%s\n' sccache_epilogue
2025-11-03T16:30:24.9860345Z ++ trap -- '
2025-11-03T16:30:24.9860527Z sccache_epilogue' EXIT
2025-11-03T16:30:24.9860794Z ++ [[ -n 1 ]]
2025-11-03T16:30:24.9861079Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-11-03T16:30:24.9861546Z Skipping sccache server initialization, setting environment variables
2025-11-03T16:30:24.9861881Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:30:24.9862093Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:30:24.9862346Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:30:24.9862659Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:30:24.9870511Z ++ export RUST_LOG=sccache::server=error
2025-11-03T16:30:24.9870787Z ++ RUST_LOG=sccache::server=error
2025-11-03T16:30:24.9871017Z ++ sccache --zero-stats
2025-11-03T16:30:25.1328033Z Statistics zeroed.
2025-11-03T16:30:25.1333492Z ++ which ccache
2025-11-03T16:30:25.1347186Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-11-03T16:30:25.1347590Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *s390x* ]]
2025-11-03T16:30:25.1347934Z + [[ -d /var/lib/jenkins/workspace ]]
2025-11-03T16:30:25.1350800Z ++ stat -c %u /var/lib/jenkins/workspace
2025-11-03T16:30:25.1368191Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-11-03T16:30:25.1368493Z + trap_add cleanup_workspace EXIT
2025-11-03T16:30:25.1368784Z + trap_add_cmd=cleanup_workspace
2025-11-03T16:30:25.1369040Z + shift
2025-11-03T16:30:25.1369244Z + for trap_add_name in "$@"
2025-11-03T16:30:25.1375296Z +++ trap -p EXIT
2025-11-03T16:30:25.1377734Z ++ eval 'extract_trap_cmd trap -- '\''
2025-11-03T16:30:25.1378356Z sccache_epilogue'\'' EXIT'
2025-11-03T16:30:25.1378611Z +++ extract_trap_cmd trap -- '
2025-11-03T16:30:25.1378853Z sccache_epilogue' EXIT
2025-11-03T16:30:25.1379077Z +++ printf '%s\n' '
2025-11-03T16:30:25.1379288Z sccache_epilogue'
2025-11-03T16:30:25.1379513Z ++ printf '%s\n' cleanup_workspace
2025-11-03T16:30:25.1380608Z + trap -- '
2025-11-03T16:30:25.1380820Z sccache_epilogue
2025-11-03T16:30:25.1381034Z cleanup_workspace' EXIT
2025-11-03T16:30:25.1381327Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-11-03T16:30:26.0512877Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-11-03T16:30:26.0533706Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-11-03T16:30:26.0536937Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))'
2025-11-03T16:30:26.4211618Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-11-03T16:30:26.4212259Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']'
2025-11-03T16:30:26.4217331Z +++ realpath .ci/pytorch/test.sh
2025-11-03T16:30:26.4229182Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh
2025-11-03T16:30:26.4238321Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch
2025-11-03T16:30:26.4239021Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-11-03T16:30:26.4239610Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace
2025-11-03T16:30:26.4239969Z + patch -p4
2025-11-03T16:30:26.4254566Z patching file cudadrv/driver.py
2025-11-03T16:30:26.4255012Z Hunk #1 succeeded at 357 (offset -8 lines).
2025-11-03T16:30:26.4306311Z + popd
2025-11-03T16:30:26.4306527Z ~/workspace
2025-11-03T16:30:26.4306866Z + echo 'Environment variables:'
2025-11-03T16:30:26.4307139Z Environment variables:
2025-11-03T16:30:26.4307360Z + env
2025-11-03T16:30:26.4316986Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:30:26.4317668Z CONTINUE_THROUGH_ERROR=True
2025-11-03T16:30:26.4319629Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-11-03T16:30:26.4320542Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-11-03T16:30:26.4320989Z HOSTNAME=6d329658b65b
2025-11-03T16:30:26.4321809Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_1b60372c-067e-42a9-8345-2d2d675b389d
2025-11-03T16:30:26.4322713Z GITHUB_ACTION=__run_3
2025-11-03T16:30:26.4323093Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-11-03T16:30:26.4323439Z GITHUB_RUN_NUMBER=153984
2025-11-03T16:30:26.4323911Z TEST_CONFIG=default
2025-11-03T16:30:26.4324160Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-11-03T16:30:26.4324402Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-11-03T16:30:26.4324638Z SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:30:26.4324938Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-11-03T16:30:26.4325167Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-11-03T16:30:26.4325427Z GITHUB_REF_TYPE=branch
2025-11-03T16:30:26.4325640Z BASE_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:30:26.4325884Z XLA_CUDA=
2025-11-03T16:30:26.4326047Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-11-03T16:30:26.4326335Z HUGGING_FACE_HUB_TOKEN=***
2025-11-03T16:30:26.4326818Z ***
2025-11-03T16:30:26.4326981Z GITHUB_REPOSITORY_ID=65600975
2025-11-03T16:30:26.4327187Z GITHUB_ACTIONS=true
2025-11-03T16:30:26.4327375Z NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:26.4327623Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:30:26.4327899Z SHA1=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:30:26.4328170Z GITHUB_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:30:26.4328535Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/heads/main
2025-11-03T16:30:26.4328867Z UCC_HOME=/usr
2025-11-03T16:30:26.4329025Z VERBOSE_TEST_LOGS=False
2025-11-03T16:30:26.4329214Z GITHUB_REF=refs/heads/main
2025-11-03T16:30:26.4329400Z SHARD_NUMBER=1
2025-11-03T16:30:26.4329572Z GITHUB_REF_PROTECTED=true
2025-11-03T16:30:26.4329754Z HOME=/var/lib/jenkins
2025-11-03T16:30:26.4330200Z GITHUB_API_URL=https://api.github.com
2025-11-03T16:30:26.4330445Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-11-03T16:30:26.4330689Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-11-03T16:30:26.4330922Z USE_SYSTEM_NCCL=1
2025-11-03T16:30:26.4331085Z NUM_TEST_SHARDS=5
2025-11-03T16:30:26.4331243Z UCX_HOME=/usr
2025-11-03T16:30:26.4331647Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_1b60372c-067e-42a9-8345-2d2d675b389d
2025-11-03T16:30:26.4332302Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T16:30:26.4332939Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_1b60372c-067e-42a9-8345-2d2d675b389d
2025-11-03T16:30:26.4333512Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-11-03T16:30:26.4333868Z GITHUB_EVENT_NAME=push
2025-11-03T16:30:26.4334045Z DASHBOARD_TAG=
2025-11-03T16:30:26.4334211Z GITHUB_RUN_ID=19040285449
2025-11-03T16:30:26.4334403Z INSTALLED_OPENBLAS=
2025-11-03T16:30:26.4334833Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_1b60372c-067e-42a9-8345-2d2d675b389d
2025-11-03T16:30:26.4335318Z GITHUB_ACTOR=pytorchmergebot
2025-11-03T16:30:26.4335509Z PR_NUMBER=
2025-11-03T16:30:26.4335662Z DESIRED_CUDA=12.8.1
2025-11-03T16:30:26.4335829Z GITHUB_RUN_ATTEMPT=1
2025-11-03T16:30:26.4336010Z ANACONDA_PYTHON_VERSION=3.10
2025-11-03T16:30:26.4336238Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-11-03T16:30:26.4336480Z TERM=vt100
2025-11-03T16:30:26.4336631Z INSTALLED_VISION=yes
2025-11-03T16:30:26.4336798Z BRANCH=main
2025-11-03T16:30:26.4336947Z SCCACHE_REGION=us-east-1
2025-11-03T16:30:26.4337142Z OPENSSL_ROOT_DIR=/opt/openssl
2025-11-03T16:30:26.4337341Z BUILD_AOT_INDUCTOR_TEST=
2025-11-03T16:30:26.4337522Z CUDA_PATH=/usr/local/cuda
2025-11-03T16:30:26.4337883Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-11-03T16:30:26.4338409Z GITHUB_SERVER_URL=https://github.com
2025-11-03T16:30:26.4338674Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-11-03T16:30:26.4338913Z REENABLED_ISSUES=
2025-11-03T16:30:26.4339066Z DOCS=
2025-11-03T16:30:26.4339206Z SHLVL=1
2025-11-03T16:30:26.4339343Z MAX_JOBS=14
2025-11-03T16:30:26.4339496Z GITHUB_ACTOR_ID=97764156
2025-11-03T16:30:26.4339735Z GITHUB_WORKFLOW_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:30:26.4340005Z GITHUB_REF_NAME=main
2025-11-03T16:30:26.4340274Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:30:26.4340572Z GITHUB_JOB=test
2025-11-03T16:30:26.4340731Z NO_TEST_TIMEOUT=False
2025-11-03T16:30:26.4340905Z TD_DISTRIBUTED=False
2025-11-03T16:30:26.4341094Z GITHUB_REPOSITORY=pytorch/pytorch
2025-11-03T16:30:26.4341306Z GITHUB_RETENTION_DAYS=90
2025-11-03T16:30:26.4341489Z OPENSSL_DIR=/opt/openssl
2025-11-03T16:30:26.4341673Z GITHUB_ACTION_REPOSITORY=
2025-11-03T16:30:26.4342229Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-11-03T16:30:26.4342794Z GITHUB_BASE_REF=
2025-11-03T16:30:26.4342949Z INSTALLED_ACL=
2025-11-03T16:30:26.4343289Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335
2025-11-03T16:30:26.4343672Z CI=true
2025-11-03T16:30:26.4343829Z GITHUB_REPOSITORY_OWNER=pytorch
2025-11-03T16:30:26.4344059Z RUST_LOG=sccache::server=error
2025-11-03T16:30:26.4344257Z JOB_ID=54378933335
2025-11-03T16:30:26.4344415Z GITHUB_HEAD_REF=
2025-11-03T16:30:26.4344579Z GITHUB_ACTION_REF=
2025-11-03T16:30:26.4344776Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-11-03T16:30:26.4345040Z TEST_SHOWLOCALS=False
2025-11-03T16:30:26.4345223Z GITHUB_WORKFLOW=trunk
2025-11-03T16:30:26.4345406Z DEBIAN_FRONTEND=noninteractive
2025-11-03T16:30:26.4345847Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_1b60372c-067e-42a9-8345-2d2d675b389d
2025-11-03T16:30:26.4346365Z NO_TD=False
2025-11-03T16:30:26.4346532Z SKIP_SCCACHE_INITIALIZATION=1
2025-11-03T16:30:26.4346748Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-11-03T16:30:26.4346976Z _=/usr/bin/env
2025-11-03T16:30:26.4347231Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-11-03T16:30:26.4347595Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-11-03T16:30:26.4442927Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-11-03T16:30:26.4443747Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T16:30:26.4444349Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-11-03T16:30:26.4445036Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-11-03T16:30:26.4445436Z + BUILD_DIR=build
2025-11-03T16:30:26.4445660Z + BUILD_RENAMED_DIR=build_renamed
2025-11-03T16:30:26.4445931Z + BUILD_BIN_DIR=build/bin
2025-11-03T16:30:26.4446160Z + SHARD_NUMBER=1
2025-11-03T16:30:26.4446361Z + NUM_TEST_SHARDS=5
2025-11-03T16:30:26.4446630Z + export TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:30:26.4446987Z + TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:30:26.4447233Z + export VALGRIND=ON
2025-11-03T16:30:26.4447449Z + VALGRIND=ON
2025-11-03T16:30:26.4447815Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *clang9* ]]
2025-11-03T16:30:26.4448207Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-11-03T16:30:26.4448507Z + detect_cuda_arch
2025-11-03T16:30:26.4448751Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-11-03T16:30:26.4449058Z + command -v nvidia-smi
2025-11-03T16:30:26.4449275Z /usr/bin/nvidia-smi
2025-11-03T16:30:26.4454335Z ++ nvidia-smi --query-gpu=compute_cap --format=csv
2025-11-03T16:30:26.4455205Z ++ tail -n 1
2025-11-03T16:30:26.4659674Z + TORCH_CUDA_ARCH_LIST=8.9
2025-11-03T16:30:26.4660005Z + export TORCH_CUDA_ARCH_LIST
2025-11-03T16:30:26.4660266Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *s390x* ]]
2025-11-03T16:30:26.4660861Z + [[ 0 == \1 ]]
2025-11-03T16:30:26.4661054Z + [[ True == \1 ]]
2025-11-03T16:30:26.4661273Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *bazel* ]]
2025-11-03T16:30:26.4663931Z ++ realpath build/custom_test_artifacts
2025-11-03T16:30:26.4673683Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-11-03T16:30:26.4674148Z + [[ -n '' ]]
2025-11-03T16:30:26.4674383Z + echo 'Environment variables'
2025-11-03T16:30:26.4674645Z Environment variables
2025-11-03T16:30:26.4674857Z + env
2025-11-03T16:30:26.4681645Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:30:26.4682384Z CONTINUE_THROUGH_ERROR=True
2025-11-03T16:30:26.4682910Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-11-03T16:30:26.4683897Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-11-03T16:30:26.4684202Z HOSTNAME=6d329658b65b
2025-11-03T16:30:26.4684744Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_1b60372c-067e-42a9-8345-2d2d675b389d
2025-11-03T16:30:26.4685351Z GITHUB_ACTION=__run_3
2025-11-03T16:30:26.4685772Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-11-03T16:30:26.4686066Z GITHUB_RUN_NUMBER=153984
2025-11-03T16:30:26.4686304Z TEST_CONFIG=default
2025-11-03T16:30:26.4686533Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-11-03T16:30:26.4686825Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-11-03T16:30:26.4687100Z SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:30:26.4687477Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-11-03T16:30:26.4687776Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-11-03T16:30:26.4688074Z GITHUB_REF_TYPE=branch
2025-11-03T16:30:26.4688294Z TORCH_CUDA_ARCH_LIST=8.9
2025-11-03T16:30:26.4688562Z BASE_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:30:26.4688855Z XLA_CUDA=
2025-11-03T16:30:26.4689052Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-11-03T16:30:26.4689528Z HUGGING_FACE_HUB_TOKEN=***
2025-11-03T16:30:26.4689902Z ***
2025-11-03T16:30:26.4690244Z GITHUB_REPOSITORY_ID=65600975
2025-11-03T16:30:26.4690889Z GITHUB_ACTIONS=true
2025-11-03T16:30:26.4691172Z NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T16:30:26.4691506Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:30:26.4692031Z SHA1=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:30:26.4692459Z GITHUB_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:30:26.4693126Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/heads/main
2025-11-03T16:30:26.4693469Z UCC_HOME=/usr
2025-11-03T16:30:26.4693647Z TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:30:26.4693848Z VERBOSE_TEST_LOGS=False
2025-11-03T16:30:26.4694036Z GITHUB_REF=refs/heads/main
2025-11-03T16:30:26.4694215Z SHARD_NUMBER=1
2025-11-03T16:30:26.4694385Z GITHUB_REF_PROTECTED=true
2025-11-03T16:30:26.4694574Z HOME=/var/lib/jenkins
2025-11-03T16:30:26.4694781Z GITHUB_API_URL=https://api.github.com
2025-11-03T16:30:26.4695021Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-11-03T16:30:26.4695277Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-11-03T16:30:26.4695531Z USE_SYSTEM_NCCL=1
2025-11-03T16:30:26.4695701Z NUM_TEST_SHARDS=5
2025-11-03T16:30:26.4695856Z UCX_HOME=/usr
2025-11-03T16:30:26.4696277Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_1b60372c-067e-42a9-8345-2d2d675b389d
2025-11-03T16:30:26.4709367Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T16:30:26.4710112Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_1b60372c-067e-42a9-8345-2d2d675b389d
2025-11-03T16:30:26.4710692Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-11-03T16:30:26.4711054Z GITHUB_EVENT_NAME=push
2025-11-03T16:30:26.4711248Z DASHBOARD_TAG=
2025-11-03T16:30:26.4711426Z GITHUB_RUN_ID=19040285449
2025-11-03T16:30:26.4711626Z INSTALLED_OPENBLAS=
2025-11-03T16:30:26.4712270Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_1b60372c-067e-42a9-8345-2d2d675b389d
2025-11-03T16:30:26.4712784Z GITHUB_ACTOR=pytorchmergebot
2025-11-03T16:30:26.4712996Z PR_NUMBER=
2025-11-03T16:30:26.4713153Z DESIRED_CUDA=12.8.1
2025-11-03T16:30:26.4713328Z GITHUB_RUN_ATTEMPT=1
2025-11-03T16:30:26.4713510Z VALGRIND=ON
2025-11-03T16:30:26.4713717Z ANACONDA_PYTHON_VERSION=3.10
2025-11-03T16:30:26.4713960Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-11-03T16:30:26.4714225Z TERM=vt100
2025-11-03T16:30:26.4714387Z INSTALLED_VISION=yes
2025-11-03T16:30:26.4714559Z BRANCH=main
2025-11-03T16:30:26.4714712Z SCCACHE_REGION=us-east-1
2025-11-03T16:30:26.4714911Z OPENSSL_ROOT_DIR=/opt/openssl
2025-11-03T16:30:26.4715116Z BUILD_AOT_INDUCTOR_TEST=
2025-11-03T16:30:26.4715304Z CUDA_PATH=/usr/local/cuda
2025-11-03T16:30:26.4715674Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-11-03T16:30:26.4716106Z GITHUB_SERVER_URL=https://github.com
2025-11-03T16:30:26.4716371Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-11-03T16:30:26.4716630Z REENABLED_ISSUES=
2025-11-03T16:30:26.4716788Z DOCS=
2025-11-03T16:30:26.4716931Z SHLVL=1
2025-11-03T16:30:26.4717073Z MAX_JOBS=14
2025-11-03T16:30:26.4717226Z GITHUB_ACTOR_ID=97764156
2025-11-03T16:30:26.4717471Z GITHUB_WORKFLOW_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:30:26.4717746Z GITHUB_REF_NAME=main
2025-11-03T16:30:26.4718019Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:30:26.4718322Z GITHUB_JOB=test
2025-11-03T16:30:26.4718482Z NO_TEST_TIMEOUT=False
2025-11-03T16:30:26.4718661Z TD_DISTRIBUTED=False
2025-11-03T16:30:26.4718850Z GITHUB_REPOSITORY=pytorch/pytorch
2025-11-03T16:30:26.4719056Z GITHUB_RETENTION_DAYS=90
2025-11-03T16:30:26.4719242Z OPENSSL_DIR=/opt/openssl
2025-11-03T16:30:26.4719435Z GITHUB_ACTION_REPOSITORY=
2025-11-03T16:30:26.4719980Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-11-03T16:30:26.4720631Z GITHUB_BASE_REF=
2025-11-03T16:30:26.4720791Z INSTALLED_ACL=
2025-11-03T16:30:26.4721129Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335
2025-11-03T16:30:26.4721506Z CI=true
2025-11-03T16:30:26.4721664Z GITHUB_REPOSITORY_OWNER=pytorch
2025-11-03T16:30:26.4721905Z RUST_LOG=sccache::server=error
2025-11-03T16:30:26.4722106Z JOB_ID=54378933335
2025-11-03T16:30:26.4722270Z GITHUB_HEAD_REF=
2025-11-03T16:30:26.4722431Z GITHUB_ACTION_REF=
2025-11-03T16:30:26.4722630Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-11-03T16:30:26.4722881Z TEST_SHOWLOCALS=False
2025-11-03T16:30:26.4723066Z GITHUB_WORKFLOW=trunk
2025-11-03T16:30:26.4723253Z DEBIAN_FRONTEND=noninteractive
2025-11-03T16:30:26.4723818Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_1b60372c-067e-42a9-8345-2d2d675b389d
2025-11-03T16:30:26.4724267Z NO_TD=False
2025-11-03T16:30:26.4724436Z SKIP_SCCACHE_INITIALIZATION=1
2025-11-03T16:30:26.4724662Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-11-03T16:30:26.4724975Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-11-03T16:30:26.4725281Z _=/usr/bin/env
2025-11-03T16:30:26.4725446Z + echo 'Testing pytorch'
2025-11-03T16:30:26.4725625Z Testing pytorch
2025-11-03T16:30:26.4725787Z + export LANG=C.UTF-8
2025-11-03T16:30:26.4725970Z + LANG=C.UTF-8
2025-11-03T16:30:26.4726128Z + PR_NUMBER=
2025-11-03T16:30:26.4726291Z + [[ default == \d\e\f\a\u\l\t ]]
2025-11-03T16:30:26.4726496Z + export CUDA_VISIBLE_DEVICES=0
2025-11-03T16:30:26.4726693Z + CUDA_VISIBLE_DEVICES=0
2025-11-03T16:30:26.4726882Z + export HIP_VISIBLE_DEVICES=0
2025-11-03T16:30:26.4727080Z + HIP_VISIBLE_DEVICES=0
2025-11-03T16:30:26.4727265Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-11-03T16:30:26.4727483Z + [[ default == \s\l\o\w ]]
2025-11-03T16:30:26.4727736Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-11-03T16:30:26.4728047Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-11-03T16:30:26.4728404Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-11-03T16:30:26.4728669Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-11-03T16:30:26.4728893Z + [[ default == *crossref* ]]
2025-11-03T16:30:26.4729119Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-11-03T16:30:26.4729388Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-11-03T16:30:26.4729667Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-11-03T16:30:26.4729929Z + pip_install ninja==1.10.2
2025-11-03T16:30:26.4730194Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-11-03T16:30:26.4730518Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-11-03T16:30:27.2390543Z Collecting ninja==1.10.2
2025-11-03T16:30:27.2548743Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-11-03T16:30:27.2951081Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-11-03T16:30:27.6436033Z Installing collected packages: ninja
2025-11-03T16:30:27.6436396Z   Attempting uninstall: ninja
2025-11-03T16:30:27.6443730Z     Found existing installation: ninja 1.11.1.4
2025-11-03T16:30:27.6465759Z     Uninstalling ninja-1.11.1.4:
2025-11-03T16:30:27.6579806Z       Successfully uninstalled ninja-1.11.1.4
2025-11-03T16:30:27.7277777Z Successfully installed ninja-1.10.2
2025-11-03T16:30:27.7742446Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-11-03T16:30:27.7743832Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-11-03T16:30:27.7744650Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-11-03T16:30:27.7745061Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-11-03T16:30:27.7745890Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-debug* ]]
2025-11-03T16:30:27.7746184Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-11-03T16:30:27.7746594Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass'
2025-11-03T16:30:27.7747092Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass
2025-11-03T16:30:27.7747439Z + cd test
2025-11-03T16:30:27.7747696Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-11-03T16:30:29.1811799Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-11-03T16:30:29.1812184Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-11-03T16:30:29.1812527Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-11-03T16:30:29.1816102Z + DYNAMO_BENCHMARK_FLAGS=()
2025-11-03T16:30:29.1816547Z + [[ default == *pr_time_benchmarks* ]]
2025-11-03T16:30:29.1816956Z + [[ default == *dynamo_eager* ]]
2025-11-03T16:30:29.1817225Z + [[ default == *aot_eager* ]]
2025-11-03T16:30:29.1817532Z + [[ default == *aot_inductor* ]]
2025-11-03T16:30:29.1817807Z + [[ default == *max_autotune_inductor* ]]
2025-11-03T16:30:29.1818092Z + [[ default == *inductor* ]]
2025-11-03T16:30:29.1818347Z + [[ default == *dynamic* ]]
2025-11-03T16:30:29.1818588Z + [[ default == *cpu* ]]
2025-11-03T16:30:29.1818816Z + [[ default == *xpu* ]]
2025-11-03T16:30:29.1819067Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-11-03T16:30:29.1835218Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-11-03T16:30:29.1835646Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-bazel-* ]]
2025-11-03T16:30:29.1838540Z + cd test
2025-11-03T16:30:29.1839349Z + python -c 'import torch; print(torch.__config__.show())'
2025-11-03T16:30:30.6395064Z PyTorch built with:
2025-11-03T16:30:30.6395513Z   - GCC 11.4
2025-11-03T16:30:30.6395860Z   - C++ Version: 201703
2025-11-03T16:30:30.6396456Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-11-03T16:30:30.6397491Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-11-03T16:30:30.6397925Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-11-03T16:30:30.6398246Z   - LAPACK is enabled (usually provided by MKL)
2025-11-03T16:30:30.6398536Z   - NNPACK is enabled
2025-11-03T16:30:30.6398779Z   - CPU capability usage: AVX2
2025-11-03T16:30:30.6399041Z   - CUDA Runtime 12.8
2025-11-03T16:30:30.6399509Z   - NVCC architecture flags: -gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_89,code=sm_89
2025-11-03T16:30:30.6399969Z   - CuDNN 90.8
2025-11-03T16:30:30.6404275Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=3f6538febd727b782e6e13cfd026a309fb14351d, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-11-03T16:30:30.6407795Z 
2025-11-03T16:30:30.9079846Z + cd test
2025-11-03T16:30:30.9080433Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-11-03T16:30:32.0707667Z ATen/Parallel:
2025-11-03T16:30:32.0708599Z 	at::get_num_threads() : 8
2025-11-03T16:30:32.0708893Z 	at::get_num_interop_threads() : 8
2025-11-03T16:30:32.0709178Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-11-03T16:30:32.0709442Z 	omp_get_max_threads() : 8
2025-11-03T16:30:32.0709960Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-11-03T16:30:32.0710491Z 	mkl_get_max_threads() : 8
2025-11-03T16:30:32.0710826Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-11-03T16:30:32.0711219Z std::thread::hardware_concurrency() : 16
2025-11-03T16:30:32.0711499Z Environment variables:
2025-11-03T16:30:32.0711730Z 	OMP_NUM_THREADS : [not set]
2025-11-03T16:30:32.0711967Z 	MKL_NUM_THREADS : [not set]
2025-11-03T16:30:32.0712210Z ATen parallel backend: OpenMP
2025-11-03T16:30:32.0712387Z 
2025-11-03T16:30:32.3003892Z + [[ default == *numpy_2* ]]
2025-11-03T16:30:32.3004451Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-11-03T16:30:32.3005066Z + [[ default == *backward* ]]
2025-11-03T16:30:32.3005409Z + [[ default == *xla* ]]
2025-11-03T16:30:32.3005757Z + [[ default == *vllm* ]]
2025-11-03T16:30:32.3005951Z + [[ default == *executorch* ]]
2025-11-03T16:30:32.3006161Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]]
2025-11-03T16:30:32.3006394Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-11-03T16:30:32.3006663Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-11-03T16:30:32.3006928Z + [[ default == distributed ]]
2025-11-03T16:30:32.3007142Z + [[ default == *operator_benchmark* ]]
2025-11-03T16:30:32.3007373Z + [[ default == *operator_microbenchmark* ]]
2025-11-03T16:30:32.3007625Z + [[ default == *inductor_distributed* ]]
2025-11-03T16:30:32.3007861Z + [[ default == *inductor-halide* ]]
2025-11-03T16:30:32.3008089Z + [[ default == *inductor-triton-cpu* ]]
2025-11-03T16:30:32.3008347Z + [[ default == *inductor-micro-benchmark* ]]
2025-11-03T16:30:32.3008612Z + [[ default == *aoti_cross_compile_for_windows* ]]
2025-11-03T16:30:32.3009216Z + [[ default == *huggingface* ]]
2025-11-03T16:30:32.3009435Z + [[ default == *timm* ]]
2025-11-03T16:30:32.3009630Z + [[ default == cachebench ]]
2025-11-03T16:30:32.3009837Z + [[ default == verify_cachebench ]]
2025-11-03T16:30:32.3010051Z + [[ default == *torchbench* ]]
2025-11-03T16:30:32.3010263Z + [[ default == *inductor_cpp_wrapper* ]]
2025-11-03T16:30:32.3010476Z + [[ default == *inductor* ]]
2025-11-03T16:30:32.3010674Z + [[ default == *einops* ]]
2025-11-03T16:30:32.3010871Z + [[ default == *dynamo_wrapped* ]]
2025-11-03T16:30:32.3011110Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-11-03T16:30:32.3011349Z + [[ 1 == 1 ]]
2025-11-03T16:30:32.3011520Z + [[ 5 -gt 1 ]]
2025-11-03T16:30:32.3011711Z + test_lazy_tensor_meta_reference_disabled
2025-11-03T16:30:32.3011993Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-11-03T16:30:32.3012302Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-11-03T16:30:32.3012613Z + echo 'Testing lazy tensor operations without meta reference'
2025-11-03T16:30:32.3012946Z Testing lazy tensor operations without meta reference
2025-11-03T16:30:32.3013281Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
2025-11-03T16:30:36.6452460Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T16:30:36.6925414Z Ignoring disabled issues:  ['']
2025-11-03T16:30:36.6993280Z Found test times from artifacts
2025-11-03T16:30:36.7278455Z Found test times from artifacts
2025-11-03T16:30:36.7287307Z Running all tests
2025-11-03T16:30:36.7289927Z Running parallel tests on 3 processes
2025-11-03T16:30:36.7290247Z Name: tests to run (est. time: 0.01min)
2025-11-03T16:30:36.7290527Z   Serial tests (0):
2025-11-03T16:30:36.7290762Z   Parallel tests (1):
2025-11-03T16:30:36.7291170Z     lazy/test_ts_opinfo 1/1
2025-11-03T16:30:36.7291564Z Name: excluded (est. time: 0.0min)
2025-11-03T16:30:36.7291938Z   Serial tests (0):
2025-11-03T16:30:36.7292505Z   Parallel tests (0):
2025-11-03T16:30:36.7292835Z Running lazy/test_ts_opinfo 1/1 ... [2025-11-03 16:30:36.729035]
2025-11-03T16:30:36.7293194Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:30:36.7296477Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:30:36.729364]
2025-11-03T16:30:40.7009460Z 
2025-11-03T16:30:40.7010279Z 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_caf82eb76388a44a_.log
2025-11-03T16:30:40.7010977Z Running 0 items in this shard:
2025-11-03T16:30:40.7011165Z 
2025-11-03T16:30:40.9728200Z Uploading artifacts took 0.27 seconds
2025-11-03T16:30:43.9068355Z Running lazy/test_ts_opinfo 1/1 ... [2025-11-03 16:30:43.906350]
2025-11-03T16:30:43.9068931Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:30:43.9074096Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:30:43.906837]
2025-11-03T16:30:48.2288567Z 
2025-11-03T16:30:48.2289768Z 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_19fd65cf74518f51_.log
2025-11-03T16:30:48.2291563Z Running 5 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::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic
2025-11-03T16:30:48.2292705Z 
2025-11-03T16:30:49.1053865Z Running test batch 'tests to run' cost 12.38 seconds
2025-11-03T16:30:49.7017651Z 
2025-11-03T16:30:49.7018051Z real	0m17.401s
2025-11-03T16:30:49.7018337Z user	0m24.481s
2025-11-03T16:30:49.7018549Z sys	0m9.173s
2025-11-03T16:30:49.7018875Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
2025-11-03T16:30:49.7019240Z + test_without_numpy
2025-11-03T16:30:49.7022223Z ++ dirname .ci/pytorch/test.sh
2025-11-03T16:30:49.7034402Z + pushd .ci/pytorch
2025-11-03T16:30:49.7034841Z ~/workspace/.ci/pytorch ~/workspace
2025-11-03T16:30:49.7035512Z + 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())'
2025-11-03T16:30:50.3969332Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.)
2025-11-03T16:30:50.3970682Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-11-03T16:30:51.0036745Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))'
2025-11-03T16:30:51.6974167Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.)
2025-11-03T16:30:51.6975515Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-11-03T16:30:52.0981698Z tensor([0., 1.])
2025-11-03T16:30:52.3203240Z + [[ default == *dynamo_wrapped* ]]
2025-11-03T16:30:52.3204023Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx'
2025-11-03T16:30:53.0111688Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.)
2025-11-03T16:30:53.0113270Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-11-03T16:30:53.6470103Z + popd
2025-11-03T16:30:53.6470484Z ~/workspace
2025-11-03T16:30:53.6470823Z + install_torchvision
2025-11-03T16:30:53.6471095Z + local orig_preload
2025-11-03T16:30:53.6471314Z + local commit
2025-11-03T16:30:53.6474010Z ++ get_pinned_commit vision
2025-11-03T16:30:53.6474397Z ++ cat .github/ci_commit_pins/vision.txt
2025-11-03T16:30:53.6488498Z + commit=cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:30:53.6489016Z + orig_preload=
2025-11-03T16:30:53.6489332Z + '[' -n '' ']'
2025-11-03T16:30:53.6489583Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-11-03T16:30:53.6489869Z + export FORCE_CUDA=1
2025-11-03T16:30:53.6490044Z + FORCE_CUDA=1
2025-11-03T16:30:53.6490209Z + export WITH_CUDA=1
2025-11-03T16:30:53.6490423Z + WITH_CUDA=1
2025-11-03T16:30:53.6490861Z + pip_build_and_install git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c dist/vision
2025-11-03T16:30:53.6491508Z + local build_target=git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:30:53.6491921Z + local wheel_dir=dist/vision
2025-11-03T16:30:53.6492119Z + local found_whl=0
2025-11-03T16:30:53.6492300Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:30:53.6492514Z + [[ -f dist/vision/*.whl ]]
2025-11-03T16:30:53.6492709Z + '[' 0 == 0 ']'
2025-11-03T16:30:53.6493254Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:30:53.9445155Z Collecting git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:30:53.9449871Z   Cloning https://github.com/pytorch/vision.git (to revision cfbc5c2f1c798991715a6b06bb3ce46478c4487c) to /tmp/pip-req-build-ywe0sfv5
2025-11-03T16:30:53.9472195Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-ywe0sfv5
2025-11-03T16:30:55.4636949Z   Running command git rev-parse -q --verify 'sha^cfbc5c2f1c798991715a6b06bb3ce46478c4487c'
2025-11-03T16:30:55.4662107Z   Running command git fetch -q https://github.com/pytorch/vision.git cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:30:55.7960793Z   Resolved https://github.com/pytorch/vision.git to commit cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:30:57.6021083Z   Preparing metadata (setup.py) ... [?25l- \ | done
2025-11-03T16:30:57.6057842Z [?25hBuilding wheels for collected packages: torchvision
2025-11-03T16:30:57.6116971Z   DEPRECATION: Building 'torchvision' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchvision'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-11-03T16:32:11.0416724Z   Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
2025-11-03T16:32:11.0443850Z [?25h  Created wheel for torchvision: filename=torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl size=1806395 sha256=3c68af75f691cde7ee5119965268cdb632d76075b9fe2c2fe5f23a5061b16b69
2025-11-03T16:32:11.0446318Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/52/cd/e1/0085f6d008db000796f8ae04c44a7ebf35d5557753ff92fd16
2025-11-03T16:32:11.0478944Z Successfully built torchvision
2025-11-03T16:32:11.1425217Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:32:11.1426194Z + pip_install_whl dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:32:11.1426841Z + args=('dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl')
2025-11-03T16:32:11.1427252Z + local args
2025-11-03T16:32:11.1427611Z + [[ dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-11-03T16:32:11.1428082Z + for path in "${args[@]}"
2025-11-03T16:32:11.1428520Z + echo 'Installing dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl'
2025-11-03T16:32:11.1429132Z Installing dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:32:11.1429782Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:32:11.4440878Z Processing ./dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:32:11.4524545Z Installing collected packages: torchvision
2025-11-03T16:32:11.8699327Z Successfully installed torchvision-0.25.0a0+cfbc5c2
2025-11-03T16:32:11.9005915Z + '[' -n '' ']'
2025-11-03T16:32:11.9006189Z + test_python_shard 1
2025-11-03T16:32:11.9006438Z + [[ -z 5 ]]
2025-11-03T16:32:11.9007132Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 5 --verbose --upload-artifacts-while-running
2025-11-03T16:32:16.1222938Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T16:32:16.1294105Z Found test times from artifacts
2025-11-03T16:32:16.1586145Z Found test times from artifacts
2025-11-03T16:32:16.1594857Z Running all tests
2025-11-03T16:32:16.2059769Z Running parallel tests on 3 processes
2025-11-03T16:32:16.2065277Z Name: tests to run (est. time: 87.97min)
2025-11-03T16:32:16.2065569Z   Serial tests (52):
2025-11-03T16:32:16.2065803Z     test_ci_sanity_check_fail 1/1
2025-11-03T16:32:16.2066089Z     inductor/test_benchmark_fusion 1/1
2025-11-03T16:32:16.2067452Z     test_overrides 1/1
2025-11-03T16:32:16.2067925Z     distributions/test_distributions 1/1
2025-11-03T16:32:16.2068200Z     doctests 1/1
2025-11-03T16:32:16.2068425Z     test_cpp_extensions_aot_ninja 1/1
2025-11-03T16:32:16.2068707Z     test_cpp_extensions_aot_no_ninja 1/1
2025-11-03T16:32:16.2068966Z     test_openreg 1/1
2025-11-03T16:32:16.2069185Z     inductor/test_max_autotune 1/1
2025-11-03T16:32:16.2069475Z     test_cpp_api_parity 1/1
2025-11-03T16:32:16.2069728Z     inductor/test_cutlass_backend 1/1
2025-11-03T16:32:16.2070000Z     test_privateuseone_python_backend 1/1
2025-11-03T16:32:16.2070285Z     test_extension_utils 1/1
2025-11-03T16:32:16.2070539Z     inductor/test_flex_attention 1/5
2025-11-03T16:32:16.2070804Z     inductor/test_flex_attention 2/5
2025-11-03T16:32:16.2071051Z     inductor/test_flex_attention 3/5
2025-11-03T16:32:16.2071261Z     inductor/test_flex_attention 4/5
2025-11-03T16:32:16.2071474Z     inductor/test_flex_attention 5/5
2025-11-03T16:32:16.2071691Z     test_fx 1/1
2025-11-03T16:32:16.2071864Z     test_show_pickle 1/1
2025-11-03T16:32:16.2072045Z     test_utils 1/1
2025-11-03T16:32:16.2072213Z     test_tensorexpr 1/1
2025-11-03T16:32:16.2072396Z     test_namedtuple_return_api 1/1
2025-11-03T16:32:16.2072606Z     test_multiprocessing 1/1
2025-11-03T16:32:16.2072792Z     test_dispatch 1/1
2025-11-03T16:32:16.2072966Z     test_jit_disabled 1/1
2025-11-03T16:32:16.2073143Z     test_fake_tensor 1/1
2025-11-03T16:32:16.2073335Z     test_cpp_extensions_mtia_backend 1/1
2025-11-03T16:32:16.2073556Z     test_autograd_fallback 1/1
2025-11-03T16:32:16.2073756Z     test_python_dispatch 1/1
2025-11-03T16:32:16.2073957Z     test_cpp_extensions_stream_and_event 1/1
2025-11-03T16:32:16.2074189Z     test_tensor_creation_ops 1/1
2025-11-03T16:32:16.2074423Z     inductor/test_distributed_patterns 1/1
2025-11-03T16:32:16.2074642Z     test_cuda_trace 1/1
2025-11-03T16:32:16.2074806Z     test_autocast 1/1
2025-11-03T16:32:16.2074982Z     test_cuda_nvml_based_avail 1/1
2025-11-03T16:32:16.2075402Z     functorch/test_memory_efficient_fusion 1/1
2025-11-03T16:32:16.2075636Z     dynamo/test_fake_distributed 1/1
2025-11-03T16:32:16.2075834Z     test_torch 1/1
2025-11-03T16:32:16.2076006Z     test_cpp_extensions_jit 1/1
2025-11-03T16:32:16.2076205Z     test_sort_and_select 1/1
2025-11-03T16:32:16.2076389Z     test_native_mha 1/1
2025-11-03T16:32:16.2076571Z     nn/test_convolution 1/1
2025-11-03T16:32:16.2076750Z     test_nn 1/1
2025-11-03T16:32:16.2076909Z     nn/test_pooling 1/1
2025-11-03T16:32:16.2077096Z     test_multiprocessing_spawn 1/1
2025-11-03T16:32:16.2077305Z     test_mobile_optimizer 1/1
2025-11-03T16:32:16.2077575Z     test_cuda_primary_ctx 1/1
2025-11-03T16:32:16.2077767Z     test_spectral_ops 1/1
2025-11-03T16:32:16.2077972Z     test_reductions 1/1
2025-11-03T16:32:16.2078151Z     test_autoload_disable 1/1
2025-11-03T16:32:16.2078337Z     test_autoload_enable 1/1
2025-11-03T16:32:16.2078553Z   Parallel tests (37):
2025-11-03T16:32:16.2078739Z     inductor/test_halide 1/1
2025-11-03T16:32:16.2078940Z     inductor/test_lookup_table 1/1
2025-11-03T16:32:16.2079153Z     inductor/test_autoheuristic 1/1
2025-11-03T16:32:16.2079366Z     test_jiterator 1/1
2025-11-03T16:32:16.2079543Z     test_nestedtensor 2/3
2025-11-03T16:32:16.2079732Z     test_ops_fwd_gradients 2/2
2025-11-03T16:32:16.2079924Z     inductor/test_snode_runtime 1/1
2025-11-03T16:32:16.2080134Z     dynamo/test_modes 1/1
2025-11-03T16:32:16.2080316Z     dynamo/test_sets 1/1
2025-11-03T16:32:16.2080505Z     nn/test_multihead_attention 1/1
2025-11-03T16:32:16.2080704Z     dynamo/test_sources 1/1
2025-11-03T16:32:16.2080905Z     dynamo/test_flat_apply 1/1
2025-11-03T16:32:16.2081103Z     test_numpy_interop 1/1
2025-11-03T16:32:16.2081303Z     test_ops_jit 1/2
2025-11-03T16:32:16.2081468Z     test_ops_jit 2/2
2025-11-03T16:32:16.2081643Z     inductor/test_layout_optim 1/1
2025-11-03T16:32:16.2081850Z     inductor/test_control_flow 2/5
2025-11-03T16:32:16.2082043Z     optim/test_optim 1/1
2025-11-03T16:32:16.2082393Z     torch_np/numpy_tests/core/test_numerictypes 1/1
2025-11-03T16:32:16.2082670Z     torch_np/numpy_tests/lib/test_arraypad 1/1
2025-11-03T16:32:16.2082894Z     nn/test_init 1/1
2025-11-03T16:32:16.2083074Z     test_function_schema 1/1
2025-11-03T16:32:16.2083261Z     test_cuda_multigpu 1/1
2025-11-03T16:32:16.2083448Z     test_jit_autocast 1/1
2025-11-03T16:32:16.2083764Z     torch_np/numpy_tests/lib/test_arraysetops 1/1
2025-11-03T16:32:16.2084011Z     dynamo/test_python_autograd 1/1
2025-11-03T16:32:16.2084231Z     test_functional_autograd_benchmark 1/1
2025-11-03T16:32:16.2084461Z     test_sparse 1/1
2025-11-03T16:32:16.2084636Z     test_type_promotion 1/1
2025-11-03T16:32:16.2084848Z     torch_np/numpy_tests/core/test_scalar_ctors 1/1
2025-11-03T16:32:16.2085084Z     test_dlpack 1/1
2025-11-03T16:32:16.2085259Z     profiler/test_torch_tidy 1/1
2025-11-03T16:32:16.2085468Z     torch_np/test_reductions 1/1
2025-11-03T16:32:16.2085657Z     lazy/test_reuse_ir 1/1
2025-11-03T16:32:16.2085842Z     test_prims 1/1
2025-11-03T16:32:16.2086019Z     profiler/test_python_tracer 1/1
2025-11-03T16:32:16.2086239Z     inductor/test_custom_op_autotune 1/1
2025-11-03T16:32:16.2086459Z Name: excluded (est. time: 0.0min)
2025-11-03T16:32:16.2086670Z   Serial tests (0):
2025-11-03T16:32:16.2086841Z   Parallel tests (0):
2025-11-03T16:32:16.2087094Z Running test_ci_sanity_check_fail 1/1 ... [2025-11-03 16:32:16.207465]
2025-11-03T16:32:16.2087392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:32:16.2088129Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:32:16.207820]
2025-11-03T16:32:29.2617915Z Uploading artifacts took 0.28 seconds
2025-11-03T16:32:29.2620468Z Running inductor/test_benchmark_fusion 1/1 ... [2025-11-03 16:32:29.261834]
2025-11-03T16:32:29.2620848Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:32:29.2623898Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:32:29.262144]
2025-11-03T16:33:57.9758106Z 
2025-11-03T16:33:57.9759069Z 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_58527c3b120c3e4c_.log
2025-11-03T16:33:57.9765978Z Running 16 items in this shard: test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_avoid_register_spilling_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_foreach_kernel_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_register_spills_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_resnet18_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_softmax_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkingTest::test_benchmark_on_non_zero_device, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_changed_layout, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_extern_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, 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
2025-11-03T16:33:57.9770857Z 
2025-11-03T16:33:57.9770989Z Running test_overrides 1/1 ... [2025-11-03 16:33:57.976090]
2025-11-03T16:33:57.9771280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:33:57.9772001Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:33:57.976435]
2025-11-03T16:34:04.3513778Z 
2025-11-03T16:34:04.3514602Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_29a405361b445d01_.log
2025-11-03T16:34:04.3840639Z Running 1480 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__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index, 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_, 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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_, 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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, 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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, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, 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, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtri, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_polygamma, 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, 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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_function_empty_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_float_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_scalar_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_mixed_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_nested_tuple_getitem, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_not_first_in_list, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_precedence_in_lists, 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_hash_tensor, 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_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_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
2025-11-03T16:34:04.4154937Z 
2025-11-03T16:34:04.4155140Z Running distributions/test_distributions 1/1 ... [2025-11-03 16:34:04.353144]
2025-11-03T16:34:04.4155496Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:34:04.4156279Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:34:04.353510]
2025-11-03T16:34:58.3031737Z 
2025-11-03T16:34:58.3032777Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_6080ac214e43058c_.log
2025-11-03T16:34:58.3094336Z Running 230 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_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, 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_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_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_multinomial_sequential_draw, 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_torch_binomial_dtype_errors, 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
2025-11-03T16:34:58.3153445Z 
2025-11-03T16:34:58.3153582Z Running doctests 1/1 ... [2025-11-03 16:34:58.303576]
2025-11-03T16:34:58.8655279Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=367.
2025-11-03T16:34:58.8656518Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:34:58.8657087Z Registers the function implementation as the fallback for the given key.
2025-11-03T16:34:58.8657405Z 
2025-11-03T16:34:58.8657618Z         This function only works for a library with global namespace ("_").
2025-11-03T16:34:58.8657860Z 
2025-11-03T16:34:58.8657921Z         Args:
2025-11-03T16:34:58.8658217Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-11-03T16:34:58.8658584Z                 to register a fallthrough.
2025-11-03T16:34:58.8658984Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-11-03T16:34:58.8659403Z                           the dispatch key that the library was created with.
2025-11-03T16:34:58.8659855Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-11-03T16:34:58.8660431Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-11-03T16:34:58.8660762Z 
2025-11-03T16:34:58.8660858Z         Example::
2025-11-03T16:34:58.8660964Z 
2025-11-03T16:34:58.8661053Z             >>> my_lib = Library("_", "IMPL")
2025-11-03T16:34:58.8661306Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-11-03T16:34:58.8661568Z             >>>     # Handle all autocast ops generically
2025-11-03T16:34:58.8661808Z             >>>     # ...
2025-11-03T16:34:58.8662032Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-11-03T16:34:58.8662271Z         
2025-11-03T16:34:58.8662779Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-11-03T16:34:58.8663294Z 
2025-11-03T16:34:58.8663389Z my_lib.fallback(fallback_kernel, "Autocast")
2025-11-03T16:34:58.8663774Z ^
2025-11-03T16:34:58.8780029Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=941.
2025-11-03T16:34:58.8780786Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:34:58.8781307Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-11-03T16:34:58.8781617Z 
2025-11-03T16:34:58.8781777Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-11-03T16:34:58.8782047Z 
2025-11-03T16:34:58.8782266Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-11-03T16:34:58.8782767Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-11-03T16:34:58.8783258Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-11-03T16:34:58.8783670Z     what the properties of the output Tensors are.
2025-11-03T16:34:58.8783906Z 
2025-11-03T16:34:58.8784117Z     The FakeTensor implementation has the same signature as the operator.
2025-11-03T16:34:58.8784616Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-11-03T16:34:58.8785076Z     implementation, assume that all Tensor inputs to the operator are
2025-11-03T16:34:58.8785529Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-11-03T16:34:58.8785975Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-11-03T16:34:58.8786436Z     The FakeTensor implementation must consist of only PyTorch operations
2025-11-03T16:34:58.8786889Z     (and may not directly access the storage or data of any input or
2025-11-03T16:34:58.8787236Z     intermediate Tensors).
2025-11-03T16:34:58.8787390Z 
2025-11-03T16:34:58.8787537Z     This API may be used as a decorator (see examples).
2025-11-03T16:34:58.8787733Z 
2025-11-03T16:34:58.8787832Z     For a detailed guide on custom ops, please see
2025-11-03T16:34:58.8788196Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-11-03T16:34:58.8788626Z 
2025-11-03T16:34:58.8788691Z     Args:
2025-11-03T16:34:58.8788943Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-11-03T16:34:58.8789274Z         func: Fake tensor implementation.
2025-11-03T16:34:58.8789579Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-11-03T16:34:58.8789925Z         allow_override: Flag controlling if we want to override an
2025-11-03T16:34:58.8790255Z                         existing registered fake impl. This is by default off,
2025-11-03T16:34:58.8790586Z                         and will error you're trying to register a fake impl to
2025-11-03T16:34:58.8790904Z                         an operator that already has a fake impl. This also only
2025-11-03T16:34:58.8791218Z                         applies if the custom operator was not created via
2025-11-03T16:34:58.8791540Z                         torch.library.custom_op, as overriding and existing fake
2025-11-03T16:34:58.8791839Z                         impl is already allowed.
2025-11-03T16:34:58.8791989Z 
2025-11-03T16:34:58.8792059Z     Examples:
2025-11-03T16:34:58.8792214Z         >>> import torch
2025-11-03T16:34:58.8792401Z         >>> import numpy as np
2025-11-03T16:34:58.8792606Z         >>> from torch import Tensor
2025-11-03T16:34:58.8792808Z         >>>
2025-11-03T16:34:58.8793019Z         >>> # Example 1: an operator without data-dependent output shape
2025-11-03T16:34:58.8793389Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-11-03T16:34:58.8793774Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-11-03T16:34:58.8794142Z         >>>     raise NotImplementedError("Implementation goes here")
2025-11-03T16:34:58.8794400Z         >>>
2025-11-03T16:34:58.8794606Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-11-03T16:34:58.8794875Z         >>> def _(x, weight, bias):
2025-11-03T16:34:58.8795093Z         >>>     assert x.dim() == 2
2025-11-03T16:34:58.8795454Z         >>>     assert weight.dim() == 2
2025-11-03T16:34:58.8795692Z         >>>     assert bias.dim() == 1
2025-11-03T16:34:58.8795934Z         >>>     assert x.shape[1] == weight.shape[1]
2025-11-03T16:34:58.8796195Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-11-03T16:34:58.8796448Z         >>>     assert x.device == weight.device
2025-11-03T16:34:58.8796661Z         >>>
2025-11-03T16:34:58.8796826Z         >>>     return (x @ weight.t()) + bias
2025-11-03T16:34:58.8797035Z         >>>
2025-11-03T16:34:58.8797234Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-11-03T16:34:58.8797512Z         >>>     x = torch.randn(2, 3)
2025-11-03T16:34:58.8797721Z         >>>     w = torch.randn(3, 3)
2025-11-03T16:34:58.8797926Z         >>>     b = torch.randn(3)
2025-11-03T16:34:58.8798166Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-11-03T16:34:58.8798394Z         >>>
2025-11-03T16:34:58.8798549Z         >>> assert y.shape == (2, 3)
2025-11-03T16:34:58.8798751Z         >>>
2025-11-03T16:34:58.8798949Z         >>> # Example 2: an operator with data-dependent output shape
2025-11-03T16:34:58.8799293Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-11-03T16:34:58.8799612Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-11-03T16:34:58.8799855Z         >>>     x_np = x.numpy(force=True)
2025-11-03T16:34:58.8800101Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-11-03T16:34:58.8800359Z         >>>     return torch.tensor(res, device=x.device)
2025-11-03T16:34:58.8800585Z         >>>
2025-11-03T16:34:58.8800791Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-11-03T16:34:58.8801050Z         >>> def _(x):
2025-11-03T16:34:58.8801261Z         >>> # Number of nonzero-elements is data-dependent.
2025-11-03T16:34:58.8801551Z         >>> # Since we cannot peek at the data in an fake impl,
2025-11-03T16:34:58.8801846Z         >>> # we use the ctx object to construct a new symint that
2025-11-03T16:34:58.8802261Z         >>> # represents the data-dependent size.
2025-11-03T16:34:58.8802511Z         >>>     ctx = torch.library.get_ctx()
2025-11-03T16:34:58.8802746Z         >>>     nnz = ctx.new_dynamic_size()
2025-11-03T16:34:58.8802984Z         >>>     shape = [nnz, x.dim()]
2025-11-03T16:34:58.8803238Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-11-03T16:34:58.8803491Z         >>>     return result
2025-11-03T16:34:58.8803795Z         >>>
2025-11-03T16:34:58.8804016Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-11-03T16:34:58.8804278Z         >>>
2025-11-03T16:34:58.8804443Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-11-03T16:34:58.8804762Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-11-03T16:34:58.8805091Z         >>> trace.print_readable()
2025-11-03T16:34:58.8805293Z         >>>
2025-11-03T16:34:58.8805535Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-11-03T16:34:58.8805776Z 
2025-11-03T16:34:58.8805833Z     
2025-11-03T16:34:58.8806275Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-11-03T16:34:58.8806712Z 
2025-11-03T16:34:58.8806775Z _._ = None
2025-11-03T16:34:58.8806929Z ^
2025-11-03T16:34:58.8904160Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1475.
2025-11-03T16:34:58.8904909Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:34:58.8905422Z Returns the computed kernel for a given operator and dispatch key.
2025-11-03T16:34:58.8905702Z 
2025-11-03T16:34:58.8905894Z     This function retrieves the kernel that would be executed for a given
2025-11-03T16:34:58.8906381Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-11-03T16:34:58.8906849Z     can be used to call the kernel in a boxed fashion. The intended use
2025-11-03T16:34:58.8907516Z     case for this function is to retrieve the original kernel for a given
2025-11-03T16:34:58.8907911Z     dispatch key and then register another kernel to the same dispatch key
2025-11-03T16:34:58.8908250Z     that calls into the original kernel for certain cases.
2025-11-03T16:34:58.8908435Z 
2025-11-03T16:34:58.8908499Z     Args:
2025-11-03T16:34:58.8908721Z         op: Operator name (along with the overload) or OpOverload object
2025-11-03T16:34:58.8909089Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-11-03T16:34:58.8909503Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-11-03T16:34:58.8909895Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-11-03T16:34:58.8910106Z 
2025-11-03T16:34:58.8910170Z     Returns:
2025-11-03T16:34:58.8910420Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-11-03T16:34:58.8910735Z             call the kernel.
2025-11-03T16:34:58.8910863Z 
2025-11-03T16:34:58.8910922Z     Raises:
2025-11-03T16:34:58.8911109Z         RuntimeError: If the operator does not exist.
2025-11-03T16:34:58.8911280Z 
2025-11-03T16:34:58.8911348Z     Example:
2025-11-03T16:34:58.8911515Z         >>> # Get the CPU kernel for torch.add
2025-11-03T16:34:58.8911806Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-11-03T16:34:58.8912074Z         >>>
2025-11-03T16:34:58.8912243Z         >>> # You can also use DispatchKey enum
2025-11-03T16:34:58.8912572Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-11-03T16:34:58.8912890Z         >>>
2025-11-03T16:34:58.8913063Z         >>> # Or use an OpOverload directly
2025-11-03T16:34:58.8913372Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-11-03T16:34:58.8913672Z         >>>
2025-11-03T16:34:58.8914030Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-11-03T16:34:58.8914345Z         >>> # Get the original kernel for torch.sin
2025-11-03T16:34:58.8914658Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-11-03T16:34:58.8914936Z         >>>
2025-11-03T16:34:58.8915177Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-11-03T16:34:58.8915511Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-11-03T16:34:58.8915750Z         >>>     if (x < 0).any():
2025-11-03T16:34:58.8916020Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-11-03T16:34:58.8916294Z         >>>     else:
2025-11-03T16:34:58.8916484Z         >>>         return torch.zeros_like(x)
2025-11-03T16:34:58.8916693Z         >>>
2025-11-03T16:34:58.8916872Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-11-03T16:34:58.8917222Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-11-03T16:34:58.8917628Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-11-03T16:34:58.8917972Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-11-03T16:34:58.8918240Z         >>>
2025-11-03T16:34:58.8918406Z         >>> # Test the conditional behavior
2025-11-03T16:34:58.8918640Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-11-03T16:34:58.8918886Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-11-03T16:34:58.8919121Z         >>> torch.sin(x_positive)
2025-11-03T16:34:58.8919320Z         tensor([0., 0.])
2025-11-03T16:34:58.8919495Z         >>> torch.sin(x_mixed)
2025-11-03T16:34:58.8919688Z         tensor([-0.8415, 0.9093])
2025-11-03T16:34:58.8919872Z     
2025-11-03T16:34:58.8920281Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-11-03T16:34:58.8920680Z 
2025-11-03T16:34:58.8920806Z which needs to be the first argument to ``kernel.call_boxed``
2025-11-03T16:34:58.8921166Z       ^
2025-11-03T16:34:59.1454888Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=66.
2025-11-03T16:34:59.1455723Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:34:59.1456256Z Check if the current accelerator is available at runtime: it was build, all the
2025-11-03T16:34:59.1456761Z     required drivers are available and at least one device is visible.
2025-11-03T16:34:59.1457173Z     See :ref:`accelerator<accelerators>` for details.
2025-11-03T16:34:59.1476126Z 
2025-11-03T16:34:59.1476264Z     Returns:
2025-11-03T16:34:59.1476663Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-11-03T16:34:59.1477015Z 
2025-11-03T16:34:59.1477271Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-11-03T16:34:59.1477843Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-11-03T16:34:59.1478408Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-11-03T16:34:59.1478858Z         :ref:`multiprocessing-poison-fork-note`.
2025-11-03T16:34:59.1479080Z 
2025-11-03T16:34:59.1479169Z     Example::
2025-11-03T16:34:59.1479287Z 
2025-11-03T16:34:59.1479530Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-11-03T16:34:59.1479923Z     
2025-11-03T16:34:59.1480496Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-11-03T16:34:59.1481067Z 
2025-11-03T16:34:59.1481286Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-11-03T16:34:59.1481687Z                                         ^
2025-11-03T16:34:59.1482683Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=212.
2025-11-03T16:34:59.1483476Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:34:59.1484103Z Wait for all kernels in all streams on the given device to complete.
2025-11-03T16:34:59.1484382Z 
2025-11-03T16:34:59.1484457Z     Args:
2025-11-03T16:34:59.1484830Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-11-03T16:34:59.1485413Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-11-03T16:34:59.1485884Z             use :func:`torch.accelerator.current_device_index` by default.
2025-11-03T16:34:59.1486145Z 
2025-11-03T16:34:59.1486411Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-11-03T16:34:59.1486796Z 
2025-11-03T16:34:59.1486876Z     Example::
2025-11-03T16:34:59.1487003Z 
2025-11-03T16:34:59.1487132Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-11-03T16:34:59.1487596Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-11-03T16:34:59.1487984Z         >>> start_event = torch.Event(enable_timing=True)
2025-11-03T16:34:59.1488246Z         >>> end_event = torch.Event(enable_timing=True)
2025-11-03T16:34:59.1488496Z         >>> start_event.record()
2025-11-03T16:34:59.1488799Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-11-03T16:34:59.1499321Z         >>> sum = torch.sum(tensor)
2025-11-03T16:34:59.1499636Z         >>> end_event.record()
2025-11-03T16:34:59.1499867Z         >>> torch.accelerator.synchronize()
2025-11-03T16:34:59.1500165Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-11-03T16:34:59.1500434Z     
2025-11-03T16:34:59.1500903Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-11-03T16:34:59.1501641Z 
2025-11-03T16:34:59.1501833Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-11-03T16:34:59.1502161Z                                         ^
2025-11-03T16:34:59.1725499Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448.
2025-11-03T16:34:59.1726266Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:34:59.1726706Z Retrieves the CUDA runtime API module.
2025-11-03T16:34:59.1726906Z 
2025-11-03T16:34:59.1726910Z 
2025-11-03T16:34:59.1727135Z     This function initializes the CUDA runtime environment if it is not already
2025-11-03T16:34:59.1727662Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-11-03T16:34:59.1728073Z     runtime API module provides access to various CUDA runtime functions.
2025-11-03T16:34:59.1728305Z 
2025-11-03T16:34:59.1728373Z     Args:
2025-11-03T16:34:59.1728523Z         ``None``
2025-11-03T16:34:59.1728634Z 
2025-11-03T16:34:59.1728693Z     Returns:
2025-11-03T16:34:59.1728886Z         module: The CUDA runtime API module (_cudart).
2025-11-03T16:34:59.1729063Z 
2025-11-03T16:34:59.1729126Z     Raises:
2025-11-03T16:34:59.1729377Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-11-03T16:34:59.1729870Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-11-03T16:34:59.1730196Z 
2025-11-03T16:34:59.1730293Z     Example of CUDA operations with profiling:
2025-11-03T16:34:59.1730538Z         >>> import torch
2025-11-03T16:34:59.1730753Z         >>> from torch.cuda import cudart, check_error
2025-11-03T16:34:59.1730981Z         >>> import os
2025-11-03T16:34:59.1731148Z         >>>
2025-11-03T16:34:59.1731327Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-11-03T16:34:59.1731539Z         >>>
2025-11-03T16:34:59.1731716Z         >>> def perform_cuda_operations_with_streams():
2025-11-03T16:34:59.1732167Z         >>>     stream = torch.cuda.Stream()
2025-11-03T16:34:59.1732429Z         >>>     with torch.cuda.stream(stream):
2025-11-03T16:34:59.1732679Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-11-03T16:34:59.1732924Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-11-03T16:34:59.1733156Z         >>>         z = torch.mul(x, y)
2025-11-03T16:34:59.1733364Z         >>>     return z
2025-11-03T16:34:59.1733533Z         >>>
2025-11-03T16:34:59.1733687Z         >>> torch.cuda.synchronize()
2025-11-03T16:34:59.1733922Z         >>> print("====== Start nsys profiling ======")
2025-11-03T16:34:59.1734195Z         >>> check_error(cudart().cudaProfilerStart())
2025-11-03T16:34:59.1734463Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-11-03T16:34:59.1734750Z         >>>     result = perform_cuda_operations_with_streams()
2025-11-03T16:34:59.1735048Z         >>>     print("CUDA operations completed.")
2025-11-03T16:34:59.1735334Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-11-03T16:34:59.1735617Z         >>> print("====== End nsys profiling ======")
2025-11-03T16:34:59.1735781Z 
2025-11-03T16:34:59.1735931Z     To run this example and save the profiling information, execute:
2025-11-03T16:34:59.1736404Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-11-03T16:34:59.1736737Z 
2025-11-03T16:34:59.1736910Z     This command profiles the CUDA operations in the provided script and saves
2025-11-03T16:34:59.1737299Z     the profiling information to a file named `trace_name.prof`.
2025-11-03T16:34:59.1737680Z     The `--profile-from-start off` option ensures that profiling starts only
2025-11-03T16:34:59.1738027Z     after the `cudaProfilerStart` call in the script.
2025-11-03T16:34:59.1738355Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-11-03T16:34:59.1738688Z     CSV file and print a summary, respectively.
2025-11-03T16:34:59.1739163Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-11-03T16:34:59.1739521Z     overwrite of the output file if it already exists.
2025-11-03T16:34:59.1739754Z     
2025-11-03T16:34:59.1740292Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-11-03T16:34:59.1740822Z 
2025-11-03T16:34:59.1741063Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-11-03T16:34:59.1741439Z ^
2025-11-03T16:35:00.3753526Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-11-03T16:35:00.3754329Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:00.3754661Z 
2025-11-03T16:35:00.3754861Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-11-03T16:35:00.3755365Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-11-03T16:35:00.3755826Z pushes the map into PyTorch operations called by ``func``, effectively
2025-11-03T16:35:00.3756213Z vectorizing those operations.
2025-11-03T16:35:00.3756380Z 
2025-11-03T16:35:00.3756571Z vmap is useful for handling batch dimensions: one can write a function
2025-11-03T16:35:00.3757012Z ``func`` that runs on examples and then lift it to a function that can
2025-11-03T16:35:00.3757454Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-11-03T16:35:00.3757870Z compute batched gradients when composed with autograd.
2025-11-03T16:35:00.3758088Z 
2025-11-03T16:35:00.3758180Z .. note::
2025-11-03T16:35:00.3758392Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-11-03T16:35:00.3758705Z     convenience. Use whichever one you'd like.
2025-11-03T16:35:00.3758870Z 
2025-11-03T16:35:00.3758927Z Args:
2025-11-03T16:35:00.3759499Z     func (function): A Python function that takes one or more arguments.
2025-11-03T16:35:00.3759823Z         Must return one or more Tensors.
2025-11-03T16:35:00.3760111Z     in_dims (int or nested structure): Specifies which dimension of the
2025-11-03T16:35:00.3760458Z         inputs should be mapped over. ``in_dims`` should have a
2025-11-03T16:35:00.3760806Z         structure like the inputs. If the ``in_dim`` for a particular
2025-11-03T16:35:00.3761144Z         input is None, then that indicates there is no map dimension.
2025-11-03T16:35:00.3761404Z         Default: 0.
2025-11-03T16:35:00.3761641Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-11-03T16:35:00.3761976Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-11-03T16:35:00.3762293Z         it should have one element per output. Default: 0.
2025-11-03T16:35:00.3762600Z     randomness (str): Specifies whether the randomness in this
2025-11-03T16:35:00.3762955Z         vmap should be the same or different across batches. If 'different',
2025-11-03T16:35:00.3763321Z         the randomness for each batch will be different. If 'same', the
2025-11-03T16:35:00.3763785Z         randomness will be the same across batches. If 'error', any calls to
2025-11-03T16:35:00.3764163Z         random functions will error. Default: 'error'. WARNING: this flag
2025-11-03T16:35:00.3764533Z         only applies to random PyTorch operations and does not apply to
2025-11-03T16:35:00.3764842Z         Python's random module or numpy randomness.
2025-11-03T16:35:00.3765166Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-11-03T16:35:00.3765550Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-11-03T16:35:00.3765949Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-11-03T16:35:00.3766387Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-11-03T16:35:00.3766832Z 
2025-11-03T16:35:00.3766893Z Returns:
2025-11-03T16:35:00.3767120Z     Returns a new "batched" function. It takes the same inputs as
2025-11-03T16:35:00.3767459Z     ``func``, except each input has an extra dimension at the index
2025-11-03T16:35:00.3767987Z     specified by ``in_dims``. It takes returns the same outputs as
2025-11-03T16:35:00.3768331Z     ``func``, except each output has an extra dimension at the index
2025-11-03T16:35:00.3768609Z     specified by ``out_dims``.
2025-11-03T16:35:00.3768739Z 
2025-11-03T16:35:00.3768804Z .. warning:
2025-11-03T16:35:00.3769025Z     :func:`vmap` works best with functional-style code. Please do not
2025-11-03T16:35:00.3769369Z     perform any side-effects in ``func``, with the exception of
2025-11-03T16:35:00.3769739Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-11-03T16:35:00.3770127Z     Python data structures and assigning values to variables not captured
2025-11-03T16:35:00.3770418Z     in ``func``.
2025-11-03T16:35:00.3770520Z 
2025-11-03T16:35:00.3770689Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-11-03T16:35:00.3771079Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-11-03T16:35:00.3771473Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-11-03T16:35:00.3771704Z 
2025-11-03T16:35:00.3771796Z     >>> torch.dot  # [D], [D] -> []
2025-11-03T16:35:00.3772077Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-11-03T16:35:00.3772391Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-11-03T16:35:00.3772621Z     >>> batched_dot(x, y)
2025-11-03T16:35:00.3772736Z 
2025-11-03T16:35:00.3772897Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-11-03T16:35:00.3773202Z model authoring experience.
2025-11-03T16:35:00.3773327Z 
2025-11-03T16:35:00.3773401Z     >>> batch_size, feature_size = 3, 5
2025-11-03T16:35:00.3773665Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-11-03T16:35:00.3774049Z     >>>
2025-11-03T16:35:00.3774208Z     >>> def model(feature_vec):
2025-11-03T16:35:00.3774426Z     >>> # Very simple linear model with activation
2025-11-03T16:35:00.3774673Z     >>>     return feature_vec.dot(weights).relu()
2025-11-03T16:35:00.3774888Z     >>>
2025-11-03T16:35:00.3775074Z     >>> examples = torch.randn(batch_size, feature_size)
2025-11-03T16:35:00.3775332Z     >>> result = torch.vmap(model)(examples)
2025-11-03T16:35:00.3775492Z 
2025-11-03T16:35:00.3775659Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-11-03T16:35:00.3776069Z or impossible to batch. One example is higher-order gradient computation.
2025-11-03T16:35:00.3776466Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-11-03T16:35:00.3776882Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-11-03T16:35:00.3777288Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-11-03T16:35:00.3777700Z we can vectorize the whole computation, computing the Jacobian in a single
2025-11-03T16:35:00.3778014Z call to ``autograd.grad``.
2025-11-03T16:35:00.3778140Z 
2025-11-03T16:35:00.3778199Z     >>> # Setup
2025-11-03T16:35:00.3778355Z     >>> N = 5
2025-11-03T16:35:00.3778503Z     >>> f = lambda x: x**2
2025-11-03T16:35:00.3778700Z     >>> x = torch.randn(N, requires_grad=True)
2025-11-03T16:35:00.3778918Z     >>> y = f(x)
2025-11-03T16:35:00.3779077Z     >>> I_N = torch.eye(N)
2025-11-03T16:35:00.3779250Z     >>>
2025-11-03T16:35:00.3779413Z     >>> # Sequential approach
2025-11-03T16:35:00.3779694Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-11-03T16:35:00.3780001Z     >>>                  for v in I_N.unbind()]
2025-11-03T16:35:00.3780233Z     >>> jacobian = torch.stack(jacobian_rows)
2025-11-03T16:35:00.3780443Z     >>>
2025-11-03T16:35:00.3780601Z     >>> # vectorized gradient computation
2025-11-03T16:35:00.3780815Z     >>> def get_vjp(v):
2025-11-03T16:35:00.3781152Z     >>>     return torch.autograd.grad(y, x, v)
2025-11-03T16:35:00.3781393Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-11-03T16:35:00.3781552Z 
2025-11-03T16:35:00.3781731Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-11-03T16:35:00.3781989Z 
2025-11-03T16:35:00.3782073Z     >>> torch.dot  # [D], [D] -> []
2025-11-03T16:35:00.3782294Z     >>> batched_dot = torch.vmap(
2025-11-03T16:35:00.3782497Z     ...     torch.vmap(torch.dot)
2025-11-03T16:35:00.3782713Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-11-03T16:35:00.3782970Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-11-03T16:35:00.3783233Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-11-03T16:35:00.3783395Z 
2025-11-03T16:35:00.3783558Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-11-03T16:35:00.3783907Z the dimension that each inputs are batched along as
2025-11-03T16:35:00.3784091Z 
2025-11-03T16:35:00.3784177Z     >>> torch.dot  # [N], [N] -> []
2025-11-03T16:35:00.3784471Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-11-03T16:35:00.3784784Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-11-03T16:35:00.3785011Z     >>> batched_dot(
2025-11-03T16:35:00.3785174Z     ...     x, y
2025-11-03T16:35:00.3785400Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-11-03T16:35:00.3785607Z 
2025-11-03T16:35:00.3785790Z If there are multiple inputs each of which is batched along different dimensions,
2025-11-03T16:35:00.3786176Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-11-03T16:35:00.3786389Z 
2025-11-03T16:35:00.3786457Z     >>> torch.dot  # [D], [D] -> []
2025-11-03T16:35:00.3786752Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-11-03T16:35:00.3787073Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-11-03T16:35:00.3787283Z     >>> batched_dot(
2025-11-03T16:35:00.3787451Z     ...     x, y
2025-11-03T16:35:00.3787762Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-11-03T16:35:00.3787976Z 
2025-11-03T16:35:00.3788147Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-11-03T16:35:00.3788472Z matching the shape of the input:
2025-11-03T16:35:00.3788610Z 
2025-11-03T16:35:00.3788712Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-11-03T16:35:00.3788975Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-11-03T16:35:00.3789209Z     >>> input = {"x": x, "y": y}
2025-11-03T16:35:00.3789453Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-11-03T16:35:00.3789723Z     >>> batched_dot(input)
2025-11-03T16:35:00.3789848Z 
2025-11-03T16:35:00.3790036Z By default, the output is batched along the first dimension. However, it can be batched
2025-11-03T16:35:00.3790393Z along any dimension by using ``out_dims``
2025-11-03T16:35:00.3790547Z 
2025-11-03T16:35:00.3790623Z     >>> f = lambda x: x**2
2025-11-03T16:35:00.3790807Z     >>> x = torch.randn(2, 5)
2025-11-03T16:35:00.3791026Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-11-03T16:35:00.3791254Z     >>> batched_pow(x)  # [5, 2]
2025-11-03T16:35:00.3791380Z 
2025-11-03T16:35:00.3791584Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-11-03T16:35:00.3791915Z accept kwargs
2025-11-03T16:35:00.3792015Z 
2025-11-03T16:35:00.3792081Z     >>> x = torch.randn([2, 5])
2025-11-03T16:35:00.3792276Z     >>> def fn(x, scale=4.):
2025-11-03T16:35:00.3792456Z     >>>   return x * scale
2025-11-03T16:35:00.3792619Z     >>>
2025-11-03T16:35:00.3792772Z     >>> batched_pow = torch.vmap(fn)
2025-11-03T16:35:00.3793009Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-11-03T16:35:00.3793335Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-11-03T16:35:00.3793569Z 
2025-11-03T16:35:00.3793635Z .. note::
2025-11-03T16:35:00.3793989Z     vmap does not provide general autobatching or handle variable-length
2025-11-03T16:35:00.3794287Z     sequences out of the box.
2025-11-03T16:35:00.3794423Z 
2025-11-03T16:35:00.3794786Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-11-03T16:35:00.3795208Z 
2025-11-03T16:35:00.3795269Z _._ = None
2025-11-03T16:35:00.3795401Z ^
2025-11-03T16:35:00.3795823Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-11-03T16:35:00.3796380Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:00.3796784Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-11-03T16:35:00.3797155Z     input(s) specified by ``argnums``. This operator can be nested to
2025-11-03T16:35:00.3797447Z     compute higher-order gradients.
2025-11-03T16:35:00.3797590Z 
2025-11-03T16:35:00.3797653Z     Args:
2025-11-03T16:35:00.3797885Z         func (Callable): A Python function that takes one or more arguments.
2025-11-03T16:35:00.3798290Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-11-03T16:35:00.3798733Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-11-03T16:35:00.3799053Z             ``(output, aux)``.
2025-11-03T16:35:00.3799384Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-11-03T16:35:00.3799791Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-11-03T16:35:00.3800161Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-11-03T16:35:00.3800503Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-11-03T16:35:00.3800689Z 
2025-11-03T16:35:00.3800748Z     Returns:
2025-11-03T16:35:00.3801029Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-11-03T16:35:00.3801550Z         the function is the gradient tensor(s) with respect to the first argument.
2025-11-03T16:35:00.3801981Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-11-03T16:35:00.3802413Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-11-03T16:35:00.3802756Z         respect to each ``argnums`` value is returned.
2025-11-03T16:35:00.3802932Z 
2025-11-03T16:35:00.3803004Z     Example of using ``grad``:
2025-11-03T16:35:00.3803135Z 
2025-11-03T16:35:00.3803204Z         >>> # xdoctest: +SKIP
2025-11-03T16:35:00.3803408Z         >>> from torch.func import grad
2025-11-03T16:35:00.3803700Z         >>> x = torch.randn([])
2025-11-03T16:35:00.3803918Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-11-03T16:35:00.3804176Z         >>> assert torch.allclose(cos_x, x.cos())
2025-11-03T16:35:00.3804403Z         >>>
2025-11-03T16:35:00.3804564Z         >>> # Second-order gradients
2025-11-03T16:35:00.3804813Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-11-03T16:35:00.3805092Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-11-03T16:35:00.3805258Z 
2025-11-03T16:35:00.3805434Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-11-03T16:35:00.3805681Z 
2025-11-03T16:35:00.3805753Z         >>> # xdoctest: +SKIP
2025-11-03T16:35:00.3805952Z         >>> from torch.func import grad, vmap
2025-11-03T16:35:00.3806183Z         >>> batch_size, feature_size = 3, 5
2025-11-03T16:35:00.3806391Z         >>>
2025-11-03T16:35:00.3806550Z         >>> def model(weights, feature_vec):
2025-11-03T16:35:00.3806782Z         >>> # Very simple linear model with activation
2025-11-03T16:35:00.3807018Z         >>>     assert feature_vec.dim() == 1
2025-11-03T16:35:00.3807249Z         >>>     return feature_vec.dot(weights).relu()
2025-11-03T16:35:00.3807463Z         >>>
2025-11-03T16:35:00.3807725Z         >>> def compute_loss(weights, example, target):
2025-11-03T16:35:00.3807967Z         >>>     y = model(weights, example)
2025-11-03T16:35:00.3808224Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-11-03T16:35:00.3808450Z         >>>
2025-11-03T16:35:00.3808645Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-11-03T16:35:00.3808943Z         >>> examples = torch.randn(batch_size, feature_size)
2025-11-03T16:35:00.3809198Z         >>> targets = torch.randn(batch_size)
2025-11-03T16:35:00.3809435Z         >>> inputs = (weights, examples, targets)
2025-11-03T16:35:00.3809746Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-11-03T16:35:00.3810053Z         ...     *inputs
2025-11-03T16:35:00.3810218Z         ... )
2025-11-03T16:35:00.3810303Z 
2025-11-03T16:35:00.3810435Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-11-03T16:35:00.3810631Z 
2025-11-03T16:35:00.3810706Z         >>> # xdoctest: +SKIP
2025-11-03T16:35:00.3810913Z         >>> from torch.func import grad
2025-11-03T16:35:00.3811138Z         >>> def my_loss_func(y, y_pred):
2025-11-03T16:35:00.3811388Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-11-03T16:35:00.3811639Z         >>>    loss = loss_per_sample.mean()
2025-11-03T16:35:00.3811872Z         >>>    return loss, (y_pred, loss_per_sample)
2025-11-03T16:35:00.3812090Z         >>>
2025-11-03T16:35:00.3812279Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-11-03T16:35:00.3812535Z         >>> y_true = torch.rand(4)
2025-11-03T16:35:00.3812755Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-11-03T16:35:00.3813001Z         >>> out = fn(y_true, y_preds)
2025-11-03T16:35:00.3813320Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-11-03T16:35:00.3813564Z 
2025-11-03T16:35:00.3813633Z     .. note::
2025-11-03T16:35:00.3813837Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-11-03T16:35:00.3814038Z 
2025-11-03T16:35:00.3814219Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-11-03T16:35:00.3814404Z 
2025-11-03T16:35:00.3814475Z             >>> # xdoctest: +SKIP
2025-11-03T16:35:00.3814672Z             >>> def f(x):
2025-11-03T16:35:00.3814855Z             >>>     with torch.no_grad():
2025-11-03T16:35:00.3815063Z             >>>         c = x ** 2
2025-11-03T16:35:00.3815263Z             >>>     return x - c
2025-11-03T16:35:00.3815385Z 
2025-11-03T16:35:00.3815531Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-11-03T16:35:00.3815745Z 
2025-11-03T16:35:00.3815877Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-11-03T16:35:00.3816081Z 
2025-11-03T16:35:00.3816155Z             >>> # xdoctest: +SKIP
2025-11-03T16:35:00.3816362Z             >>> with torch.no_grad():
2025-11-03T16:35:00.3816571Z             >>>     grad(f)(x)
2025-11-03T16:35:00.3816689Z 
2025-11-03T16:35:00.3816850Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-11-03T16:35:00.3817240Z         outer one. This is because ``grad`` is a "function transform": its result
2025-11-03T16:35:00.3817611Z         should not depend on the result of a context manager outside of ``f``.
2025-11-03T16:35:00.3817842Z 
2025-11-03T16:35:00.3817898Z     
2025-11-03T16:35:00.3818335Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-11-03T16:35:00.3818758Z 
2025-11-03T16:35:00.3818820Z _._ = None
2025-11-03T16:35:00.3818959Z ^
2025-11-03T16:35:02.8987856Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=401.
2025-11-03T16:35:02.8988741Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:02.8989205Z Register a FakeTensor implementation for this custom op.
2025-11-03T16:35:02.8989862Z 
2025-11-03T16:35:02.8990091Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-11-03T16:35:02.8990411Z 
2025-11-03T16:35:02.8990601Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-11-03T16:35:02.8991081Z         specifies the behavior of this operator on Tensors that carry no data.
2025-11-03T16:35:02.8991498Z         Given some input Tensors with certain properties
2025-11-03T16:35:02.8991953Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-11-03T16:35:02.8992366Z         the output Tensors are.
2025-11-03T16:35:02.8992536Z 
2025-11-03T16:35:02.8992721Z         Please see :func:`torch.library.register_fake` for more details.
2025-11-03T16:35:02.8992992Z 
2025-11-03T16:35:02.8993089Z         Args:
2025-11-03T16:35:02.8993364Z             fn (Callable): The function to register as the FakeTensor
2025-11-03T16:35:02.8993686Z                 implementation.
2025-11-03T16:35:02.8993861Z 
2025-11-03T16:35:02.8993946Z         Examples:
2025-11-03T16:35:02.8994169Z             >>> import torch
2025-11-03T16:35:02.8994420Z             >>> import numpy as np
2025-11-03T16:35:02.8994685Z             >>> from torch import Tensor
2025-11-03T16:35:02.8994947Z             >>>
2025-11-03T16:35:02.8995241Z             >>> # Example 1: an operator without data-dependent output shape
2025-11-03T16:35:02.8995714Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-11-03T16:35:02.8996152Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-11-03T16:35:02.8996529Z             >>>     return (x @ weight.t()) + bias
2025-11-03T16:35:02.8996798Z             >>>
2025-11-03T16:35:02.8997009Z             >>> @linear.register_fake
2025-11-03T16:35:02.8997271Z             >>> def _(x, weight, bias):
2025-11-03T16:35:02.8997542Z             >>>     assert x.dim() == 2
2025-11-03T16:35:02.8997815Z             >>>     assert weight.dim() == 2
2025-11-03T16:35:02.8998277Z             >>>     assert bias.dim() == 1
2025-11-03T16:35:02.8998584Z             >>>     assert x.shape[1] == weight.shape[1]
2025-11-03T16:35:02.8998896Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-11-03T16:35:02.8999157Z             >>>     assert x.device == weight.device
2025-11-03T16:35:02.8999447Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-11-03T16:35:02.8999688Z             >>>
2025-11-03T16:35:02.8999854Z             >>> x = torch.randn(2, 2)
2025-11-03T16:35:02.9000086Z             >>> weight = torch.randn(2, 2)
2025-11-03T16:35:02.9000305Z             >>> bias = torch.randn(2)
2025-11-03T16:35:02.9000539Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-11-03T16:35:02.9000838Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-11-03T16:35:02.9001140Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-11-03T16:35:02.9001488Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-11-03T16:35:02.9001802Z             >>>
2025-11-03T16:35:02.9002020Z             >>> # Example 2: an operator with data-dependent output shape
2025-11-03T16:35:02.9002370Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-11-03T16:35:02.9002667Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-11-03T16:35:02.9002898Z             >>>     x_np = x.cpu().numpy()
2025-11-03T16:35:02.9003134Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-11-03T16:35:02.9003390Z             >>>     return torch.tensor(res, device=x.device)
2025-11-03T16:35:02.9003732Z             >>>
2025-11-03T16:35:02.9003904Z             >>> @nonzero.register_fake
2025-11-03T16:35:02.9004125Z             >>> def _(x):
2025-11-03T16:35:02.9004341Z             >>> # Number of nonzero-elements is data-dependent.
2025-11-03T16:35:02.9004642Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-11-03T16:35:02.9004955Z             >>> # we use the ctx object to construct a new symint that
2025-11-03T16:35:02.9005324Z             >>> # represents the data-dependent size.
2025-11-03T16:35:02.9005578Z             >>>     ctx = torch.library.get_ctx()
2025-11-03T16:35:02.9005810Z             >>>     nnz = ctx.new_dynamic_size()
2025-11-03T16:35:02.9006056Z             >>>     shape = [nnz, x.dim()]
2025-11-03T16:35:02.9006315Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-11-03T16:35:02.9006563Z             >>>     return result
2025-11-03T16:35:02.9006752Z             >>>
2025-11-03T16:35:02.9006930Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-11-03T16:35:02.9007185Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-11-03T16:35:02.9007460Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-11-03T16:35:02.9007741Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-11-03T16:35:02.9008006Z             >>> assert torch.allclose(out, x.nonzero())
2025-11-03T16:35:02.9008174Z 
2025-11-03T16:35:02.9008245Z         
2025-11-03T16:35:02.9008690Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-11-03T16:35:02.9009125Z 
2025-11-03T16:35:02.9009182Z _._ = None
2025-11-03T16:35:02.9009321Z ^
2025-11-03T16:35:02.9154111Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94.
2025-11-03T16:35:02.9154995Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-11-03T16:35:02.9155320Z 
2025-11-03T16:35:02.9155528Z Registers a fake kernel based on the given operator profiles. This fake
2025-11-03T16:35:02.9156024Z kernel registration will override any existing fake kernel registrations.
2025-11-03T16:35:02.9156335Z 
2025-11-03T16:35:02.9156519Z The input is a dictionary mapping operator names to a set of operator
2025-11-03T16:35:02.9157190Z profiles, which we will use to generate fake kernels. The operator profiles
2025-11-03T16:35:02.9157668Z are a record of the input and output tensor metadata. Based on this
2025-11-03T16:35:02.9158148Z information we will match a given input to the recorded profile, and return
2025-11-03T16:35:02.9158626Z an output with the same metadata as in the recorded profile. If a profile
2025-11-03T16:35:02.9159036Z doesn't exist then an exception will be thrown.
2025-11-03T16:35:02.9159209Z 
2025-11-03T16:35:02.9159365Z The fake kernel generation is considered unsafe because it relies on the
2025-11-03T16:35:02.9159754Z rigid, pre-defined operator profiles that do not account for potential
2025-11-03T16:35:02.9160157Z variations in output behavior. Specifically, the generated kernels assume a
2025-11-03T16:35:02.9160575Z fixed relationship between input and output ranks. However, in reality, it's
2025-11-03T16:35:02.9160989Z possible that data-dependent operations may produce outputs of different
2025-11-03T16:35:02.9161393Z ranks even when given inputs of the same rank. The generated fake kernels
2025-11-03T16:35:02.9161773Z are inflexible and unable to accommodate these nuances, making them
2025-11-03T16:35:02.9162062Z potentially unsafe.
2025-11-03T16:35:02.9162176Z 
2025-11-03T16:35:02.9162235Z Args:
2025-11-03T16:35:02.9162468Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-11-03T16:35:02.9162834Z         name to a set of operator profiles from which we will generate fake
2025-11-03T16:35:02.9163102Z         kernels.
2025-11-03T16:35:02.9163206Z 
2025-11-03T16:35:02.9163267Z Examples:
2025-11-03T16:35:02.9163359Z 
2025-11-03T16:35:02.9163483Z     >>> # Example: Registering an op-profile from draft-export
2025-11-03T16:35:02.9163872Z     >>> import torch
2025-11-03T16:35:02.9164096Z     >>> from torch.export._draft_export import draft_export
2025-11-03T16:35:02.9164338Z     >>>
2025-11-03T16:35:02.9164582Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-11-03T16:35:02.9165052Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-11-03T16:35:02.9165289Z     >>>     return x + y
2025-11-03T16:35:02.9165457Z     >>>
2025-11-03T16:35:02.9165617Z     >>> class M(torch.nn.Module):
2025-11-03T16:35:02.9165837Z     >>>     def forward(self, a, b):
2025-11-03T16:35:02.9166083Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-11-03T16:35:02.9166338Z     >>>         return res
2025-11-03T16:35:02.9166519Z     >>>
2025-11-03T16:35:02.9166717Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-11-03T16:35:02.9166972Z     >>>
2025-11-03T16:35:02.9167248Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-11-03T16:35:02.9167624Z     >>>     decomp = ep.run_decompositions()
2025-11-03T16:35:02.9168123Z 
2025-11-03T16:35:02.9168127Z 
2025-11-03T16:35:02.9168484Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-11-03T16:35:02.9168912Z 
2025-11-03T16:35:03.3537178Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-11-03T16:35:03.3538254Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:03.3538575Z 
2025-11-03T16:35:03.3538816Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-11-03T16:35:03.3539358Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-11-03T16:35:03.3539849Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-11-03T16:35:03.3540251Z input by the user.
2025-11-03T16:35:03.3540582Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-11-03T16:35:03.3541017Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-11-03T16:35:03.3541249Z 
2025-11-03T16:35:03.3541364Z Note::
2025-11-03T16:35:03.3542092Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-11-03T16:35:03.3542500Z 
2025-11-03T16:35:03.3542573Z Args:
2025-11-03T16:35:03.3542760Z     model (nn.Module):
2025-11-03T16:35:03.3543092Z         The model whose layers will be sparsified. The layers that needs to be
2025-11-03T16:35:03.3543582Z         sparsified should be added separately using the register_layer() function
2025-11-03T16:35:03.3543986Z     aggregate_fn (Optional, Callable):
2025-11-03T16:35:03.3544399Z         default aggregate_fn that is used if not specified while registering the layer.
2025-11-03T16:35:03.3544865Z         specifies how inputs should be aggregated over time.
2025-11-03T16:35:03.3545335Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-11-03T16:35:03.3545758Z         Example
2025-11-03T16:35:03.3546034Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-11-03T16:35:03.3546403Z             reduce_fn (Optional, Callable):
2025-11-03T16:35:03.3546815Z                 default reduce_fn that is used if not specified while registering the layer.
2025-11-03T16:35:03.3547345Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-11-03T16:35:03.3547781Z                 calling agg_fn() on all inputs.
2025-11-03T16:35:03.3548058Z                 Example
2025-11-03T16:35:03.3548364Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-11-03T16:35:03.3548721Z             mask_fn (Optional, Callable):
2025-11-03T16:35:03.3549151Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-11-03T16:35:03.3549621Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-11-03T16:35:03.3549951Z                 register_layer().
2025-11-03T16:35:03.3550327Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-11-03T16:35:03.3550884Z                 arguments.
2025-11-03T16:35:03.3551081Z             features (Optional, list):
2025-11-03T16:35:03.3551321Z                 default selected features to sparsify.
2025-11-03T16:35:03.3551676Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-11-03T16:35:03.3551997Z                 For example,
2025-11-03T16:35:03.3552293Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-11-03T16:35:03.3552623Z             feature_dim (Optional, int):
2025-11-03T16:35:03.3552961Z                 default dimension of input features. Again, features along this dim will be chosen
2025-11-03T16:35:03.3553297Z                 for sparsification.
2025-11-03T16:35:03.3553512Z             sparse_config (Dict):
2025-11-03T16:35:03.3553802Z                 Default configuration for the mask_fn. This config will be passed
2025-11-03T16:35:03.3554115Z                 with the mask_fn()
2025-11-03T16:35:03.3554249Z 
2025-11-03T16:35:03.3554317Z Example:
2025-11-03T16:35:03.3554465Z     >>> # xdoctest: +SKIP
2025-11-03T16:35:03.3554655Z     >>> model = SomeModel()
2025-11-03T16:35:03.3554942Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-11-03T16:35:03.3555274Z     >>> # Initialize aggregate_fn
2025-11-03T16:35:03.3555470Z     >>> def agg_fn(x, y):
2025-11-03T16:35:03.3555652Z     >>>     return x + y
2025-11-03T16:35:03.3555826Z     >>>
2025-11-03T16:35:03.3555983Z     >>> # Initialize reduce_fn
2025-11-03T16:35:03.3556169Z     >>> def reduce_fn(x):
2025-11-03T16:35:03.3556358Z     >>>     return torch.mean(x, dim=0)
2025-11-03T16:35:03.3556563Z     >>>
2025-11-03T16:35:03.3556713Z     >>> # Initialize mask_fn
2025-11-03T16:35:03.3556898Z     >>> def mask_fn(data):
2025-11-03T16:35:03.3557113Z     >>>     return torch.eye(data.shape).to(data.device)
2025-11-03T16:35:03.3557348Z     >>>
2025-11-03T16:35:03.3557487Z     >>>
2025-11-03T16:35:03.3558119Z     >>> act_sparsifier.register_layer(
2025-11-03T16:35:03.3558361Z     ...     model.some_layer,
2025-11-03T16:35:03.3558559Z     ...     aggregate_fn=agg_fn,
2025-11-03T16:35:03.3558751Z     ...     reduce_fn=reduce_fn,
2025-11-03T16:35:03.3558944Z     ...     mask_fn=mask_fn,
2025-11-03T16:35:03.3559123Z     ... )
2025-11-03T16:35:03.3559263Z     >>>
2025-11-03T16:35:03.3559406Z     >>> # start training process
2025-11-03T16:35:03.3559594Z     >>> for _ in [...]:
2025-11-03T16:35:03.3559762Z     >>> # epoch starts
2025-11-03T16:35:03.3559990Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-11-03T16:35:03.3560243Z     >>> # epoch ends
2025-11-03T16:35:03.3560451Z     >>>     act_sparsifier.step()
2025-11-03T16:35:03.3560656Z     >>> # end training process
2025-11-03T16:35:03.3560856Z     >>> sparsifier.squash_mask()
2025-11-03T16:35:03.3560983Z 
2025-11-03T16:35:03.3561340Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-11-03T16:35:03.3561753Z 
2025-11-03T16:35:03.3561814Z _._ = None
2025-11-03T16:35:03.3561952Z ^
2025-11-03T16:35:04.0068772Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=526.
2025-11-03T16:35:04.0069615Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:04.0069873Z 
2025-11-03T16:35:04.0070079Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-11-03T16:35:04.0070544Z The submesh created consists of the dimensions and the communicators indicated by
2025-11-03T16:35:04.0070872Z ``mesh_dim_names``
2025-11-03T16:35:04.0070977Z 
2025-11-03T16:35:04.0071039Z Args:
2025-11-03T16:35:04.0071288Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-11-03T16:35:04.0071657Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-11-03T16:35:04.0072333Z Returns:
2025-11-03T16:35:04.0072493Z     A :class:`DeviceMesh` object
2025-11-03T16:35:04.0072628Z 
2025-11-03T16:35:04.0072832Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-11-03T16:35:04.0073172Z In the first example:
2025-11-03T16:35:04.0073462Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-11-03T16:35:04.0073884Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-11-03T16:35:04.0074282Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-11-03T16:35:04.0074662Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-11-03T16:35:04.0075029Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-11-03T16:35:04.0075409Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-11-03T16:35:04.0075650Z 
2025-11-03T16:35:04.0075718Z In the second example:
2025-11-03T16:35:04.0076016Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-11-03T16:35:04.0076472Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-11-03T16:35:04.0076900Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-11-03T16:35:04.0077320Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-11-03T16:35:04.0077575Z 
2025-11-03T16:35:04.0079695Z Example::
2025-11-03T16:35:04.0079807Z 
2025-11-03T16:35:04.0079900Z     >>> # xdoctest: +SKIP("no rank")
2025-11-03T16:35:04.0080186Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-11-03T16:35:04.0080448Z     >>>
2025-11-03T16:35:04.0080677Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-11-03T16:35:04.0081189Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-11-03T16:35:04.0081545Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-11-03T16:35:04.0081866Z     >>> tp_mesh = mesh_2d["tp"]
2025-11-03T16:35:04.0082066Z     >>> dp_mesh = mesh_2d["dp"]
2025-11-03T16:35:04.0082249Z     >>>
2025-11-03T16:35:04.0082399Z     >>> # Initialize a 3D mesh.
2025-11-03T16:35:04.0082719Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-11-03T16:35:04.0083207Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-11-03T16:35:04.0083718Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-11-03T16:35:04.0083950Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-11-03T16:35:04.0084092Z 
2025-11-03T16:35:04.0084580Z Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-11-03T16:35:04.0085160Z 
2025-11-03T16:35:04.0085330Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-11-03T16:35:04.0085662Z                                                                                  ^
2025-11-03T16:35:04.2864728Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-11-03T16:35:04.2865734Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:04.2866071Z 
2025-11-03T16:35:04.2866470Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-11-03T16:35:04.2866829Z 
2025-11-03T16:35:04.2867105Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-11-03T16:35:04.2867588Z 
2025-11-03T16:35:04.2868080Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-11-03T16:35:04.2868854Z will be visible to the whole process.
2025-11-03T16:35:04.2869148Z 
2025-11-03T16:35:04.2869449Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-11-03T16:35:04.2869726Z 
2025-11-03T16:35:04.2869819Z 1) set_up_planner - called on all ranks.
2025-11-03T16:35:04.2870179Z     Signals the start of a checkpoint save.
2025-11-03T16:35:04.2870349Z 
2025-11-03T16:35:04.2870447Z 2) create_local_plan - called on all ranks.
2025-11-03T16:35:04.2870875Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-11-03T16:35:04.2871206Z 
2025-11-03T16:35:04.2871343Z 3) create_global_plan - called on the coordinator rank only.
2025-11-03T16:35:04.2871753Z     Takes the SavePlan from all ranks and make any global decision.
2025-11-03T16:35:04.2872028Z 
2025-11-03T16:35:04.2872111Z 4) finish_plan - called on all ranks.
2025-11-03T16:35:04.2872413Z     This gives each rank a chance to adjust to global planning decisions.
2025-11-03T16:35:04.2872770Z 
2025-11-03T16:35:04.2872891Z 5) resolve_data - called multiple times on each rank
2025-11-03T16:35:04.2873210Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-11-03T16:35:04.2873480Z 
2025-11-03T16:35:04.2873758Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-11-03T16:35:04.2874171Z most changes can be expressed by changes in a single method.
2025-11-03T16:35:04.2874463Z 
2025-11-03T16:35:04.2874576Z There are 3 usual patterns of extension:
2025-11-03T16:35:04.2874734Z 
2025-11-03T16:35:04.2874915Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-11-03T16:35:04.2875436Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-11-03T16:35:04.2875676Z 
2025-11-03T16:35:04.2875774Z >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:04.2876038Z >>> class RenamePlanner(DefaultSavePlanner):
2025-11-03T16:35:04.2876377Z >>>     def set_up_planner(
2025-11-03T16:35:04.2876758Z >>>         self,
2025-11-03T16:35:04.2876997Z >>>         state_dict: STATE_DICT_TYPE,
2025-11-03T16:35:04.2877331Z >>>         storage_meta: Optional[StorageMeta],
2025-11-03T16:35:04.2877571Z >>>         is_coordinator: bool,
2025-11-03T16:35:04.2877771Z >>>     ) -> None:
2025-11-03T16:35:04.2878057Z >>> # prefix all keys with `foo_``
2025-11-03T16:35:04.2878408Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-11-03T16:35:04.2878712Z 
2025-11-03T16:35:04.2879038Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-11-03T16:35:04.2879354Z 
2025-11-03T16:35:04.2879441Z >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:04.2879789Z >>> class FP16Planner(DefaultSavePlanner):
2025-11-03T16:35:04.2880027Z >>>     def create_local_plan(self):
2025-11-03T16:35:04.2880256Z >>>         plan = super().create_local_plan()
2025-11-03T16:35:04.2880541Z >>>         for p in plan:
2025-11-03T16:35:04.2880816Z >>>             if p.tensor_data is not None:
2025-11-03T16:35:04.2881085Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-11-03T16:35:04.2881388Z >>>         return plan
2025-11-03T16:35:04.2881626Z >>>
2025-11-03T16:35:04.2881788Z >>>     def resolve_data(self, write_item):
2025-11-03T16:35:04.2882023Z >>>         item = super().resolve_data(write_item)
2025-11-03T16:35:04.2882495Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-11-03T16:35:04.2882770Z 
2025-11-03T16:35:04.2883005Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-11-03T16:35:04.2883440Z 
2025-11-03T16:35:04.2883529Z >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:04.2883875Z >>> from itertools import zip_longest
2025-11-03T16:35:04.2884214Z >>> from dataclasses import replace
2025-11-03T16:35:04.2884489Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-11-03T16:35:04.2885120Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-11-03T16:35:04.2885492Z >>> # This sample doesn't handle ShardedTensors
2025-11-03T16:35:04.2885772Z >>>     def create_global_plan(self, all_plans):
2025-11-03T16:35:04.2886146Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-11-03T16:35:04.2886408Z >>>         items_per_rank = [
2025-11-03T16:35:04.2886664Z >>>             [item for item in items if item is not None]
2025-11-03T16:35:04.2887040Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-11-03T16:35:04.2887288Z >>>         ]
2025-11-03T16:35:04.2887444Z >>>         all_plans = [
2025-11-03T16:35:04.2887751Z >>>             replace(plan, items=items)
2025-11-03T16:35:04.2888029Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-11-03T16:35:04.2888301Z >>>         ]
2025-11-03T16:35:04.2888587Z >>>         return super().create_global_plan(all_plans)
2025-11-03T16:35:04.2888780Z 
2025-11-03T16:35:04.2888964Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-11-03T16:35:04.2889532Z accomplished by having each rank contribute their data items in the local plan and
2025-11-03T16:35:04.2889874Z the global planner aggregate them:
2025-11-03T16:35:04.2890020Z 
2025-11-03T16:35:04.2890102Z >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:04.2890476Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-11-03T16:35:04.2890752Z >>>     def create_local_plan(self) -> SavePlan:
2025-11-03T16:35:04.2891001Z >>>         plan = super().create_local_plan()
2025-11-03T16:35:04.2891383Z >>>         return replace(plan, planner_data="per-rank-data")
2025-11-03T16:35:04.2891626Z >>>
2025-11-03T16:35:04.2891946Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-11-03T16:35:04.2892451Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-11-03T16:35:04.2892923Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-11-03T16:35:04.2893282Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-11-03T16:35:04.2893553Z >>>         return global_plan, metadata
2025-11-03T16:35:04.2893756Z 
2025-11-03T16:35:04.2894188Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-11-03T16:35:04.2894696Z 
2025-11-03T16:35:04.2894793Z _._ = None
2025-11-03T16:35:04.2894930Z ^
2025-11-03T16:35:04.2895467Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-11-03T16:35:04.2896196Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:04.2896562Z 
2025-11-03T16:35:04.2896763Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-11-03T16:35:04.2897041Z 
2025-11-03T16:35:04.2897334Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-11-03T16:35:04.2897632Z 
2025-11-03T16:35:04.2897830Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-11-03T16:35:04.2898282Z will be visible to the whole process.
2025-11-03T16:35:04.2898436Z 
2025-11-03T16:35:04.2898625Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-11-03T16:35:04.2898913Z 
2025-11-03T16:35:04.2899053Z 1) set_up_planner - called on all ranks.
2025-11-03T16:35:04.2899347Z     Signals the start of loading a checkpoint.
2025-11-03T16:35:04.2899506Z 
2025-11-03T16:35:04.2899598Z 2) create_local_plan - called on all ranks.
2025-11-03T16:35:04.2900063Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-11-03T16:35:04.2900345Z 
2025-11-03T16:35:04.2900475Z 3) create_global_plan - called on the coordinator rank only.
2025-11-03T16:35:04.2901081Z     Takes the LoadPlan from all ranks and make any global decision.
2025-11-03T16:35:04.2901292Z 
2025-11-03T16:35:04.2901398Z 4) load_bytes - called multiple times on each rank
2025-11-03T16:35:04.2901805Z     This is called once per non-tensor value in state_dict.
2025-11-03T16:35:04.2901995Z 
2025-11-03T16:35:04.2902145Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-11-03T16:35:04.2902586Z     They are called in pair for each Tensor value in state_dict.
2025-11-03T16:35:04.2902833Z 
2025-11-03T16:35:04.2903036Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-11-03T16:35:04.2903558Z most changes can be expressed by changes in a single method.
2025-11-03T16:35:04.2903760Z 
2025-11-03T16:35:04.2903858Z There are two usual patterns of extension:
2025-11-03T16:35:04.2904016Z 
2025-11-03T16:35:04.2904221Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-11-03T16:35:04.2904745Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-11-03T16:35:04.2905267Z to keep a reference to the original state_dict as load happens in place so
2025-11-03T16:35:04.2905594Z we need to be able to perform it in place
2025-11-03T16:35:04.2905749Z 
2025-11-03T16:35:04.2905829Z >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:04.2906179Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-11-03T16:35:04.2906415Z >>>     def set_up_planner(
2025-11-03T16:35:04.2906594Z >>>         self,
2025-11-03T16:35:04.2906762Z >>>         state_dict: STATE_DICT_TYPE,
2025-11-03T16:35:04.2906983Z >>>         metadata: Metadata,
2025-11-03T16:35:04.2907293Z >>>         is_coordinator: bool,
2025-11-03T16:35:04.2907491Z >>>     ) -> None:
2025-11-03T16:35:04.2907666Z >>>         self.original_state_dict = state_dict
2025-11-03T16:35:04.2907943Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-11-03T16:35:04.2908196Z >>>
2025-11-03T16:35:04.2908351Z >>>         if self.flatten_sharded_tensors:
2025-11-03T16:35:04.2908815Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-11-03T16:35:04.2909066Z >>>
2025-11-03T16:35:04.2909213Z >>>         if self.flatten_state_dict:
2025-11-03T16:35:04.2909478Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-11-03T16:35:04.2909730Z >>>
2025-11-03T16:35:04.2909878Z >>>         self.state_dict = state_dict
2025-11-03T16:35:04.2910093Z >>>         self.metadata = metadata
2025-11-03T16:35:04.2910316Z >>>         self.is_coordinator = is_coordinator
2025-11-03T16:35:04.2910522Z >>>
2025-11-03T16:35:04.2910680Z >>>     def load_bytes(self, read_item, value):
2025-11-03T16:35:04.2911044Z >>> # Remove the "foo_" prefix
2025-11-03T16:35:04.2911394Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-11-03T16:35:04.2911687Z 
2025-11-03T16:35:04.2911690Z 
2025-11-03T16:35:04.2911870Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-11-03T16:35:04.2912136Z 
2025-11-03T16:35:04.2912211Z >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:04.2912480Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-11-03T16:35:04.2912755Z >>>     def resolve_tensor(self, read_item):
2025-11-03T16:35:04.2913003Z >>>         tensor = super().resolve_tensor(read_item)
2025-11-03T16:35:04.2913269Z >>>         return torch.empty_like(tensor, device="cpu")
2025-11-03T16:35:04.2913503Z >>>
2025-11-03T16:35:04.2913679Z >>>     def commit_tensor(self, read_item, tensor):
2025-11-03T16:35:04.2913956Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-11-03T16:35:04.2914140Z 
2025-11-03T16:35:04.2914512Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-11-03T16:35:04.2915077Z 
2025-11-03T16:35:04.2915140Z _._ = None
2025-11-03T16:35:04.2915287Z ^
2025-11-03T16:35:04.5892673Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295.
2025-11-03T16:35:04.5893862Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:04.5894186Z 
2025-11-03T16:35:04.5894371Z ``FullStateDictConfig`` is a config class meant to be used with
2025-11-03T16:35:04.5894810Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-11-03T16:35:04.5895243Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-11-03T16:35:04.5895691Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-11-03T16:35:04.5896139Z is meant to be used via the :func:`state_dict_type` context manager as
2025-11-03T16:35:04.5896477Z follows:
2025-11-03T16:35:04.5896582Z 
2025-11-03T16:35:04.5896702Z     >>> # xdoctest: +SKIP("undefined variables")
2025-11-03T16:35:04.5897109Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-11-03T16:35:04.5897540Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-11-03T16:35:04.5897923Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-11-03T16:35:04.5898392Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-11-03T16:35:04.5898780Z     >>>     state = fsdp.state_dict()
2025-11-03T16:35:04.5899137Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-11-03T16:35:04.5899611Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-11-03T16:35:04.5900018Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-11-03T16:35:04.5900330Z     >>> if dist.get_rank() == 0:
2025-11-03T16:35:04.5900592Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-11-03T16:35:04.5900914Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-11-03T16:35:04.5901176Z     >>>     model.load_state_dict(state_dict)
2025-11-03T16:35:04.5901648Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-11-03T16:35:04.5902070Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-11-03T16:35:04.5902381Z     >>> fsdp = FSDP(
2025-11-03T16:35:04.5902551Z     ...     model,
2025-11-03T16:35:04.5902741Z     ...     device_id=torch.cuda.current_device(),
2025-11-03T16:35:04.5902976Z     ...     auto_wrap_policy=...,
2025-11-03T16:35:04.5903184Z     ...     sync_module_states=True,
2025-11-03T16:35:04.5903383Z     ... )
2025-11-03T16:35:04.5903613Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-11-03T16:35:04.5903841Z 
2025-11-03T16:35:04.5903911Z Attributes:
2025-11-03T16:35:04.5904136Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-11-03T16:35:04.5904493Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-11-03T16:35:04.5904821Z         ranks save the full state dict. (Default: ``False``)
2025-11-03T16:35:04.5905007Z 
2025-11-03T16:35:04.5905359Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-11-03T16:35:04.5905765Z 
2025-11-03T16:35:04.5905831Z _._ = None
2025-11-03T16:35:04.5905969Z ^
2025-11-03T16:35:06.4143776Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=438.
2025-11-03T16:35:06.4144672Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:06.4145133Z Register a parametrization to a tensor in a module.
2025-11-03T16:35:06.4145383Z 
2025-11-03T16:35:06.4145634Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-11-03T16:35:06.4146229Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-11-03T16:35:06.4146814Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-11-03T16:35:06.4147806Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-11-03T16:35:06.4148166Z 
2025-11-03T16:35:06.4148433Z     The first time that a module registers a parametrization, this function will add an attribute
2025-11-03T16:35:06.4149021Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-11-03T16:35:06.4149341Z 
2025-11-03T16:35:06.4149564Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-11-03T16:35:06.4149994Z     ``module.parametrizations.weight``.
2025-11-03T16:35:06.4150200Z 
2025-11-03T16:35:06.4150301Z     The original tensor will be accessible under
2025-11-03T16:35:06.4150565Z     ``module.parametrizations.weight.original``.
2025-11-03T16:35:06.4150740Z 
2025-11-03T16:35:06.4150922Z     Parametrizations may be concatenated by registering several parametrizations
2025-11-03T16:35:06.4151283Z     on the same attribute.
2025-11-03T16:35:06.4151409Z 
2025-11-03T16:35:06.4151599Z     The training mode of a registered parametrization is updated on registration
2025-11-03T16:35:06.4160735Z     to match the training mode of the host module
2025-11-03T16:35:06.4160932Z 
2025-11-03T16:35:06.4161164Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-11-03T16:35:06.4161554Z     using the context manager :func:`cached`.
2025-11-03T16:35:06.4161726Z 
2025-11-03T16:35:06.4161899Z     A :attr:`parametrization` may optionally implement a method with signature
2025-11-03T16:35:06.4162157Z 
2025-11-03T16:35:06.4162328Z     .. code-block:: python
2025-11-03T16:35:06.4162461Z 
2025-11-03T16:35:06.4162619Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-11-03T16:35:06.4162866Z 
2025-11-03T16:35:06.4163065Z     This method is called on the unparametrized tensor when the first parametrization
2025-11-03T16:35:06.4163497Z     is registered to compute the initial value of the original tensor.
2025-11-03T16:35:06.4164308Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-11-03T16:35:06.4164638Z 
2025-11-03T16:35:06.4164888Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-11-03T16:35:06.4165382Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-11-03T16:35:06.4165664Z 
2025-11-03T16:35:06.4165821Z     It is possible for the first parametrization to depend on several inputs.
2025-11-03T16:35:06.4166223Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-11-03T16:35:06.4166636Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-11-03T16:35:06.4166874Z 
2025-11-03T16:35:06.4167105Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-11-03T16:35:06.4167504Z     with names ``original0``, ``original1``,...
2025-11-03T16:35:06.4167665Z 
2025-11-03T16:35:06.4168121Z     .. note::
2025-11-03T16:35:06.4168242Z 
2025-11-03T16:35:06.4168441Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-11-03T16:35:06.4168814Z         once to perform a number of consistency checks.
2025-11-03T16:35:06.4169181Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-11-03T16:35:06.4169545Z         and nothing will be called otherwise.
2025-11-03T16:35:06.4169700Z 
2025-11-03T16:35:06.4169769Z     .. note::
2025-11-03T16:35:06.4169857Z 
2025-11-03T16:35:06.4170003Z         In most situations, ``right_inverse`` will be a function such that
2025-11-03T16:35:06.4170308Z         ``forward(right_inverse(X)) == X`` (see
2025-11-03T16:35:06.4170673Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-11-03T16:35:06.4171134Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-11-03T16:35:06.4171454Z         to relax this.
2025-11-03T16:35:06.4171720Z 
2025-11-03T16:35:06.4171795Z     .. warning::
2025-11-03T16:35:06.4171912Z 
2025-11-03T16:35:06.4172118Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-11-03T16:35:06.4172593Z         will register a number of new parameters. If such parametrization is registered
2025-11-03T16:35:06.4173054Z         after the optimizer is created, these new parameters will need to be added manually
2025-11-03T16:35:06.4173463Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-11-03T16:35:06.4173690Z 
2025-11-03T16:35:06.4173752Z     Args:
2025-11-03T16:35:06.4173990Z         module (nn.Module): module on which to register the parametrization
2025-11-03T16:35:06.4174378Z         tensor_name (str): name of the parameter or buffer on which to register
2025-11-03T16:35:06.4174690Z             the parametrization
2025-11-03T16:35:06.4174964Z         parametrization (nn.Module): the parametrization to register
2025-11-03T16:35:06.4175259Z     Keyword args:
2025-11-03T16:35:06.4175522Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-11-03T16:35:06.4175898Z             may change the dtype and shape of the tensor. Default: `False`
2025-11-03T16:35:06.4176301Z             Warning: the parametrization is not checked for consistency upon registration.
2025-11-03T16:35:06.4176661Z             Enable this flag at your own risk.
2025-11-03T16:35:06.4176826Z 
2025-11-03T16:35:06.4176885Z     Raises:
2025-11-03T16:35:06.4177195Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-11-03T16:35:06.4177480Z 
2025-11-03T16:35:06.4177546Z     Examples:
2025-11-03T16:35:06.4177742Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-11-03T16:35:06.4177993Z         >>> import torch
2025-11-03T16:35:06.4178182Z         >>> import torch.nn as nn
2025-11-03T16:35:06.4178415Z         >>> import torch.nn.utils.parametrize as P
2025-11-03T16:35:06.4178650Z         >>>
2025-11-03T16:35:06.4178936Z         >>> class Symmetric(nn.Module):
2025-11-03T16:35:06.4179168Z         >>>     def forward(self, X):
2025-11-03T16:35:06.4179435Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-11-03T16:35:06.4179687Z         >>>
2025-11-03T16:35:06.4179851Z         >>>     def right_inverse(self, A):
2025-11-03T16:35:06.4180071Z         >>>         return A.triu()
2025-11-03T16:35:06.4180274Z         >>>
2025-11-03T16:35:06.4180420Z         >>> m = nn.Linear(5, 5)
2025-11-03T16:35:06.4180680Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-11-03T16:35:06.4181052Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-11-03T16:35:06.4181357Z         True
2025-11-03T16:35:06.4181512Z         >>> A = torch.rand(5, 5)
2025-11-03T16:35:06.4181720Z         >>> A = A + A.T  # A is now symmetric
2025-11-03T16:35:06.4182003Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-11-03T16:35:06.4182314Z         >>> print(torch.allclose(m.weight, A))
2025-11-03T16:35:06.4182523Z         True
2025-11-03T16:35:06.4182614Z 
2025-11-03T16:35:06.4182686Z         >>> class RankOne(nn.Module):
2025-11-03T16:35:06.4182899Z         >>>     def forward(self, x, y):
2025-11-03T16:35:06.4183145Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-11-03T16:35:06.4183408Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-11-03T16:35:06.4183635Z         >>>
2025-11-03T16:35:06.4183790Z         >>>     def right_inverse(self, Z):
2025-11-03T16:35:06.4184029Z         >>> # Project Z onto the rank 1 matrices
2025-11-03T16:35:06.4184292Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-11-03T16:35:06.4184555Z         >>> # Return rescaled singular vectors
2025-11-03T16:35:06.4184792Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-11-03T16:35:06.4185053Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-11-03T16:35:06.4185378Z         >>>
2025-11-03T16:35:06.4185571Z         >>> linear_rank_one = P.register_parametrization(
2025-11-03T16:35:06.4185841Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-11-03T16:35:06.4186061Z         ... )
2025-11-03T16:35:06.4186286Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-11-03T16:35:06.4186555Z         1
2025-11-03T16:35:06.4186641Z 
2025-11-03T16:35:06.4186699Z     
2025-11-03T16:35:06.4187141Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-11-03T16:35:06.4187570Z 
2025-11-03T16:35:06.4187635Z _._ = None
2025-11-03T16:35:06.4187775Z ^
2025-11-03T16:35:06.5086108Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1595.
2025-11-03T16:35:06.5086936Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:06.5087437Z Reduce learning rate when a metric has stopped improving.
2025-11-03T16:35:06.5087686Z 
2025-11-03T16:35:06.5087867Z     Models often benefit from reducing the learning rate by a factor
2025-11-03T16:35:06.5088298Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-11-03T16:35:06.5088727Z     quantity and if no improvement is seen for a 'patience' number
2025-11-03T16:35:06.5089111Z     of epochs, the learning rate is reduced.
2025-11-03T16:35:06.5089311Z 
2025-11-03T16:35:06.5089387Z     Args:
2025-11-03T16:35:06.5089610Z         optimizer (Optimizer): Wrapped optimizer.
2025-11-03T16:35:06.5089949Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-11-03T16:35:06.5090303Z             be reduced when the quantity monitored has stopped
2025-11-03T16:35:06.5090602Z             decreasing; in `max` mode it will be reduced when the
2025-11-03T16:35:06.5090924Z             quantity monitored has stopped increasing. Default: 'min'.
2025-11-03T16:35:06.5091408Z         factor (float): Factor by which the learning rate will be
2025-11-03T16:35:06.5091719Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-11-03T16:35:06.5092044Z         patience (int): The number of allowed epochs with no improvement after
2025-11-03T16:35:06.5092377Z             which the learning rate will be reduced.
2025-11-03T16:35:06.5092699Z             For example, consider the case of having no patience (`patience = 0`).
2025-11-03T16:35:06.5093181Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-11-03T16:35:06.5093646Z             In the second epoch, if the performance is worse than the baseline,
2025-11-03T16:35:06.5093982Z             we have what is considered an intolerable epoch.
2025-11-03T16:35:06.5094348Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-11-03T16:35:06.5094726Z             the learning rate is reduced at the end of this epoch.
2025-11-03T16:35:06.5095146Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-11-03T16:35:06.5095660Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-11-03T16:35:06.5096032Z             the learning rate is not adjusted.
2025-11-03T16:35:06.5096257Z             Default: 10.
2025-11-03T16:35:06.5096500Z         threshold (float): Threshold for measuring the new optimum,
2025-11-03T16:35:06.5096814Z             to only focus on significant changes. Default: 1e-4.
2025-11-03T16:35:06.5097117Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-11-03T16:35:06.5097415Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-11-03T16:35:06.5097697Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-11-03T16:35:06.5097979Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-11-03T16:35:06.5098425Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-11-03T16:35:06.5098749Z         cooldown (int): Number of epochs to wait before resuming
2025-11-03T16:35:06.5099058Z             normal operation after lr has been reduced. Default: 0.
2025-11-03T16:35:06.5099363Z         min_lr (float or list): A scalar or a list of scalars. A
2025-11-03T16:35:06.5099655Z             lower bound on the learning rate of all param groups
2025-11-03T16:35:06.5099929Z             or each group respectively. Default: 0.
2025-11-03T16:35:06.5100227Z         eps (float): Minimal decay applied to lr. If the difference
2025-11-03T16:35:06.5100540Z             between new and old lr is smaller than eps, the update is
2025-11-03T16:35:06.5100819Z             ignored. Default: 1e-8.
2025-11-03T16:35:06.5100961Z 
2025-11-03T16:35:06.5101024Z     Example:
2025-11-03T16:35:06.5101187Z         >>> # xdoctest: +SKIP
2025-11-03T16:35:06.5101482Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-11-03T16:35:06.5101835Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-11-03T16:35:06.5102087Z         >>> for epoch in range(10):
2025-11-03T16:35:06.5102289Z         >>>     train(...)
2025-11-03T16:35:06.5102477Z         >>>     val_loss = validate(...)
2025-11-03T16:35:06.5102722Z         >>> # Note that step should be called after validate()
2025-11-03T16:35:06.5102980Z         >>>     scheduler.step(val_loss)
2025-11-03T16:35:06.5103121Z 
2025-11-03T16:35:06.5103275Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-11-03T16:35:06.5103540Z     
2025-11-03T16:35:06.5103902Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-11-03T16:35:06.5104270Z 
2025-11-03T16:35:06.5104343Z     scheduler.step(val_loss)
2025-11-03T16:35:06.5104528Z    ^
2025-11-03T16:35:09.4454139Z running 886 test(s)
2025-11-03T16:35:09.4460163Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1095 <- wrt source file
2025-11-03T16:35:09.4468366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0
2025-11-03T16:35:09.4469359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1126 <- wrt source file
2025-11-03T16:35:09.4472773Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0
2025-11-03T16:35:09.4473695Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1141 <- wrt source file
2025-11-03T16:35:09.4477939Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0
2025-11-03T16:35:09.4479198Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1219 <- wrt source file
2025-11-03T16:35:09.4480735Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0
2025-11-03T16:35:09.4481823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1268 <- wrt source file
2025-11-03T16:35:09.4482850Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-11-03T16:35:09.4483900Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1305 <- wrt source file
2025-11-03T16:35:09.4486347Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0
2025-11-03T16:35:09.4487350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1469 <- wrt source file
2025-11-03T16:35:09.4488856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-11-03T16:35:09.4489790Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2598 <- wrt source file
2025-11-03T16:35:09.4490684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0
2025-11-03T16:35:09.4491657Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2901 <- wrt source file
2025-11-03T16:35:09.4492699Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-11-03T16:35:09.4493768Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file
2025-11-03T16:35:09.4494902Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0
2025-11-03T16:35:09.4495931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file
2025-11-03T16:35:09.4497003Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0
2025-11-03T16:35:09.4497979Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-11-03T16:35:09.4498933Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0
2025-11-03T16:35:09.4501767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-11-03T16:35:09.4502912Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0
2025-11-03T16:35:09.4503735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-11-03T16:35:09.5048770Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-11-03T16:35:09.5050013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-11-03T16:35:09.5051378Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-11-03T16:35:09.5052367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file
2025-11-03T16:35:09.5066144Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-11-03T16:35:09.5067250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file
2025-11-03T16:35:09.5087286Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-11-03T16:35:09.5088299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file
2025-11-03T16:35:09.5170897Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-11-03T16:35:09.5175012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file
2025-11-03T16:35:09.5180413Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-11-03T16:35:09.5181670Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file
2025-11-03T16:35:09.5188756Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0
2025-11-03T16:35:09.5189759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file
2025-11-03T16:35:09.5199490Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-11-03T16:35:09.5200881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file
2025-11-03T16:35:09.5218981Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0
2025-11-03T16:35:09.5220107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-11-03T16:35:09.5235237Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-11-03T16:35:09.5236341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-11-03T16:35:09.5242652Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0
2025-11-03T16:35:09.5243845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-11-03T16:35:09.5246963Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0
2025-11-03T16:35:09.5248240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-11-03T16:35:09.5260340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0
2025-11-03T16:35:09.5261134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-11-03T16:35:09.5279458Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0
2025-11-03T16:35:09.5280449Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file
2025-11-03T16:35:09.5319480Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0
2025-11-03T16:35:09.5320316Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file
2025-11-03T16:35:09.5365291Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0
2025-11-03T16:35:09.5366368Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-11-03T16:35:09.5378632Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-11-03T16:35:09.5379703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-11-03T16:35:09.5389717Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0
2025-11-03T16:35:09.5390523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-11-03T16:35:09.5397885Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0
2025-11-03T16:35:09.5398701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-11-03T16:35:09.5408777Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0
2025-11-03T16:35:09.5409547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-11-03T16:35:09.5423643Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0
2025-11-03T16:35:09.5424645Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-11-03T16:35:09.5441839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0
2025-11-03T16:35:09.5442854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-11-03T16:35:09.5461108Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0
2025-11-03T16:35:09.5462078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-11-03T16:35:09.5485385Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0
2025-11-03T16:35:09.5486328Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-11-03T16:35:09.5519638Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0
2025-11-03T16:35:09.5520816Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file
2025-11-03T16:35:09.5550320Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0
2025-11-03T16:35:09.5551483Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file
2025-11-03T16:35:09.5552524Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0
2025-11-03T16:35:09.5554027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file
2025-11-03T16:35:09.5555525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0
2025-11-03T16:35:09.5556819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file
2025-11-03T16:35:09.5558172Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0
2025-11-03T16:35:09.5559055Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file
2025-11-03T16:35:09.5559961Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0
2025-11-03T16:35:09.5560799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file
2025-11-03T16:35:09.5561712Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0
2025-11-03T16:35:09.5562592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file
2025-11-03T16:35:09.5563324Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0
2025-11-03T16:35:09.5564381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file
2025-11-03T16:35:09.5565163Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0
2025-11-03T16:35:09.5565940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0, line 851 <- wrt source file
2025-11-03T16:35:09.5566742Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0
2025-11-03T16:35:09.5567513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 144 <- wrt source file
2025-11-03T16:35:09.5568507Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0
2025-11-03T16:35:09.5569349Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 238 <- wrt source file
2025-11-03T16:35:09.5572285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-11-03T16:35:09.5573149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 299 <- wrt source file
2025-11-03T16:35:09.5576708Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0
2025-11-03T16:35:09.5577479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 504 <- wrt source file
2025-11-03T16:35:09.5587935Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0
2025-11-03T16:35:09.5589041Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 610 <- wrt source file
2025-11-03T16:35:09.5602903Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0
2025-11-03T16:35:09.5604150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 792 <- wrt source file
2025-11-03T16:35:09.5605170Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0
2025-11-03T16:35:09.5606144Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 860 <- wrt source file
2025-11-03T16:35:09.5607147Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0
2025-11-03T16:35:09.5608150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1109 <- wrt source file
2025-11-03T16:35:09.5769020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0
2025-11-03T16:35:09.5770082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1225 <- wrt source file
2025-11-03T16:35:09.5841947Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0
2025-11-03T16:35:09.5842955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1314 <- wrt source file
2025-11-03T16:35:09.5990042Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0
2025-11-03T16:35:09.5991032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1639 <- wrt source file
2025-11-03T16:35:09.5992253Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0
2025-11-03T16:35:09.5993240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file
2025-11-03T16:35:09.5997324Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0
2025-11-03T16:35:09.5998405Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 425 <- wrt source file
2025-11-03T16:35:09.6030176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0
2025-11-03T16:35:09.6031267Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1582 <- wrt source file
2025-11-03T16:35:09.6034232Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0
2025-11-03T16:35:09.6035305Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1718 <- wrt source file
2025-11-03T16:35:09.6038023Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0
2025-11-03T16:35:09.6039139Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1967 <- wrt source file
2025-11-03T16:35:09.6066397Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-11-03T16:35:09.6067499Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1986 <- wrt source file
2025-11-03T16:35:09.6075406Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0
2025-11-03T16:35:09.6076470Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-11-03T16:35:09.6077664Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0
2025-11-03T16:35:09.6078721Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file
2025-11-03T16:35:09.6079886Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0
2025-11-03T16:35:09.6081039Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file
2025-11-03T16:35:09.6081959Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0
2025-11-03T16:35:09.6082743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file
2025-11-03T16:35:09.6083523Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0
2025-11-03T16:35:09.6084459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file
2025-11-03T16:35:09.6087351Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0
2025-11-03T16:35:09.6088233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file
2025-11-03T16:35:09.6089345Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0
2025-11-03T16:35:09.6090413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file
2025-11-03T16:35:09.6094391Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0
2025-11-03T16:35:09.6095204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-11-03T16:35:09.6096041Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0
2025-11-03T16:35:09.6096867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 330 <- wrt source file
2025-11-03T16:35:09.6098856Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-11-03T16:35:09.6099735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 367 <- wrt source file
2025-11-03T16:35:09.6112260Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0
2025-11-03T16:35:09.6113183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1913 <- wrt source file
2025-11-03T16:35:09.6118409Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-11-03T16:35:09.6119344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file
2025-11-03T16:35:09.7193134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-11-03T16:35:09.7194910Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file
2025-11-03T16:35:09.7196039Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0
2025-11-03T16:35:09.7197133Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 129 <- wrt source file
2025-11-03T16:35:09.7198200Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-11-03T16:35:09.7199256Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 185 <- wrt source file
2025-11-03T16:35:09.9606283Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-11-03T16:35:09.9607447Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 415 <- wrt source file
2025-11-03T16:35:09.9608487Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-11-03T16:35:09.9609521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 447 <- wrt source file
2025-11-03T16:35:09.9610778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-11-03T16:35:09.9611947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 468 <- wrt source file
2025-11-03T16:35:09.9614888Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-11-03T16:35:09.9616172Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 486 <- wrt source file
2025-11-03T16:35:09.9618837Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-11-03T16:35:09.9619903Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 501 <- wrt source file
2025-11-03T16:35:09.9620984Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-11-03T16:35:09.9622108Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 521 <- wrt source file
2025-11-03T16:35:09.9623135Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-11-03T16:35:09.9624127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file
2025-11-03T16:35:09.9625193Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-11-03T16:35:09.9625981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file
2025-11-03T16:35:09.9626874Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0
2025-11-03T16:35:09.9627614Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 419 <- wrt source file
2025-11-03T16:35:09.9628486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0
2025-11-03T16:35:09.9629467Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 578 <- wrt source file
2025-11-03T16:35:09.9630534Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0
2025-11-03T16:35:09.9631480Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file
2025-11-03T16:35:09.9632312Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0
2025-11-03T16:35:09.9633298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file
2025-11-03T16:35:09.9634538Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-11-03T16:35:09.9635412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file
2025-11-03T16:35:09.9636268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0
2025-11-03T16:35:09.9637104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file
2025-11-03T16:35:09.9637975Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-11-03T16:35:09.9638805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file
2025-11-03T16:35:09.9639615Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0
2025-11-03T16:35:09.9640385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-11-03T16:35:09.9641256Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0
2025-11-03T16:35:09.9642084Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-11-03T16:35:09.9652867Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-11-03T16:35:09.9653985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file
2025-11-03T16:35:09.9655011Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0
2025-11-03T16:35:09.9656020Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file
2025-11-03T16:35:09.9675937Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-11-03T16:35:09.9677058Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-11-03T16:35:09.9681557Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-11-03T16:35:09.9682610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-11-03T16:35:09.9726733Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0
2025-11-03T16:35:09.9728005Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file
2025-11-03T16:35:09.9734445Z W1103 16:35:09.972000 1845 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:35:09.9750973Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-11-03T16:35:09.9752064Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-11-03T16:35:09.9770442Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0
2025-11-03T16:35:09.9771454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file
2025-11-03T16:35:09.9782401Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0
2025-11-03T16:35:09.9783542Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file
2025-11-03T16:35:09.9792414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-11-03T16:35:09.9793588Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file
2025-11-03T16:35:09.9838639Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-11-03T16:35:09.9839821Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 360 <- wrt source file
2025-11-03T16:35:09.9843122Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-11-03T16:35:09.9844474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 325 <- wrt source file
2025-11-03T16:35:09.9845779Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-11-03T16:35:09.9847051Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1420 <- wrt source file
2025-11-03T16:35:09.9848318Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-11-03T16:35:09.9849664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file
2025-11-03T16:35:09.9851099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-11-03T16:35:09.9852381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file
2025-11-03T16:35:09.9853602Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0
2025-11-03T16:35:09.9854757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 770 <- wrt source file
2025-11-03T16:35:10.0130904Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-11-03T16:35:10.0132193Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file
2025-11-03T16:35:10.0133429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-11-03T16:35:10.0134541Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file
2025-11-03T16:35:10.0172414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-11-03T16:35:10.0173521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file
2025-11-03T16:35:10.0231298Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-11-03T16:35:10.0232414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file
2025-11-03T16:35:10.2442485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-11-03T16:35:10.2443728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file
2025-11-03T16:35:10.2502970Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-11-03T16:35:10.2504112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file
2025-11-03T16:35:10.2521266Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-11-03T16:35:10.2522809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file
2025-11-03T16:35:10.2526605Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-11-03T16:35:10.2527775Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file
2025-11-03T16:35:10.2693221Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-11-03T16:35:10.2694393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file
2025-11-03T16:35:10.2698631Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-11-03T16:35:10.2700107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-11-03T16:35:10.2701581Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-11-03T16:35:10.2702974Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file
2025-11-03T16:35:10.2704470Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-11-03T16:35:10.2705845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file
2025-11-03T16:35:10.2707141Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-11-03T16:35:10.2708162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file
2025-11-03T16:35:10.2709651Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-11-03T16:35:10.2711187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file
2025-11-03T16:35:10.2712669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-11-03T16:35:10.2713811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file
2025-11-03T16:35:10.2715081Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-11-03T16:35:10.2716432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file
2025-11-03T16:35:10.2717516Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-11-03T16:35:10.2718836Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file
2025-11-03T16:35:10.2720065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0
2025-11-03T16:35:10.2721431Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file
2025-11-03T16:35:10.2723521Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0
2025-11-03T16:35:10.2724614Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file
2025-11-03T16:35:10.2725467Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-11-03T16:35:10.2726340Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file
2025-11-03T16:35:10.2727236Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-11-03T16:35:10.2728180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1830 <- wrt source file
2025-11-03T16:35:10.2729185Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0
2025-11-03T16:35:10.2730177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 3938 <- wrt source file
2025-11-03T16:35:10.2731131Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-11-03T16:35:10.2732034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 33 <- wrt source file
2025-11-03T16:35:10.2733050Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0
2025-11-03T16:35:10.2734009Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 347 <- wrt source file
2025-11-03T16:35:10.2735001Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0
2025-11-03T16:35:10.2735986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 68 <- wrt source file
2025-11-03T16:35:10.2736991Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0
2025-11-03T16:35:10.2738003Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 104 <- wrt source file
2025-11-03T16:35:10.2739064Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0
2025-11-03T16:35:10.2740077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 141 <- wrt source file
2025-11-03T16:35:10.2741084Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0
2025-11-03T16:35:10.2742119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 178 <- wrt source file
2025-11-03T16:35:10.2743183Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0
2025-11-03T16:35:10.2744317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file
2025-11-03T16:35:10.2745391Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0
2025-11-03T16:35:10.2746301Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0, line 100 <- wrt source file
2025-11-03T16:35:10.3079897Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-11-03T16:35:10.3081076Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 240 <- wrt source file
2025-11-03T16:35:10.3162438Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-11-03T16:35:10.3163831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 309 <- wrt source file
2025-11-03T16:35:10.3165055Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-11-03T16:35:10.3166242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 545 <- wrt source file
2025-11-03T16:35:10.3322380Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-11-03T16:35:10.3323751Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 720 <- wrt source file
2025-11-03T16:35:10.3480561Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-11-03T16:35:10.3482116Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 806 <- wrt source file
2025-11-03T16:35:10.3483425Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-11-03T16:35:10.3484761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 240 <- wrt source file
2025-11-03T16:35:10.3485961Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-11-03T16:35:10.3487123Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file
2025-11-03T16:35:10.3553635Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-11-03T16:35:10.3554802Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file
2025-11-03T16:35:10.3560478Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-11-03T16:35:10.3561562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/opaque_object.py::make_opaque:0, line 43 <- wrt source file
2025-11-03T16:35:10.3576481Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/opaque_object.py::make_opaque:0
2025-11-03T16:35:10.3578013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file
2025-11-03T16:35:10.3579408Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0
2025-11-03T16:35:10.3580610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file
2025-11-03T16:35:10.3581647Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0
2025-11-03T16:35:10.3582437Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file
2025-11-03T16:35:10.3583257Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0
2025-11-03T16:35:10.3584073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file
2025-11-03T16:35:10.3618724Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-11-03T16:35:10.3619866Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file
2025-11-03T16:35:10.3621011Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-11-03T16:35:10.3622001Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file
2025-11-03T16:35:10.3663216Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0
2025-11-03T16:35:10.3664605Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file
2025-11-03T16:35:10.3667322Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0
2025-11-03T16:35:10.3668793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file
2025-11-03T16:35:10.3726942Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0
2025-11-03T16:35:10.3728085Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file
2025-11-03T16:35:10.3785405Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0
2025-11-03T16:35:10.3786591Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file
2025-11-03T16:35:10.3835233Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-11-03T16:35:10.3836367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file
2025-11-03T16:35:10.3837515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-11-03T16:35:10.3838611Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file
2025-11-03T16:35:10.3854620Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-11-03T16:35:10.3856015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file
2025-11-03T16:35:10.3859119Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-11-03T16:35:10.3860306Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file
2025-11-03T16:35:10.3863803Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-11-03T16:35:10.3864736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file
2025-11-03T16:35:10.3865603Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-11-03T16:35:10.3866440Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file
2025-11-03T16:35:10.3870699Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-11-03T16:35:10.3871607Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file
2025-11-03T16:35:10.3874125Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0
2025-11-03T16:35:10.3875278Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-11-03T16:35:10.3876309Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-11-03T16:35:10.3877409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-11-03T16:35:10.3878504Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-11-03T16:35:10.3879643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 30 <- wrt source file
2025-11-03T16:35:10.3880956Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-11-03T16:35:10.3882200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file
2025-11-03T16:35:10.3883356Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-11-03T16:35:10.3884523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file
2025-11-03T16:35:10.3885586Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-11-03T16:35:10.3886626Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file
2025-11-03T16:35:10.3887710Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-11-03T16:35:10.3888772Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file
2025-11-03T16:35:10.3890001Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-11-03T16:35:10.3890972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file
2025-11-03T16:35:10.3902778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-11-03T16:35:10.3903996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 414 <- wrt source file
2025-11-03T16:35:10.3931443Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-11-03T16:35:10.3933252Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 211 <- wrt source file
2025-11-03T16:35:10.3935027Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-11-03T16:35:10.3936631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 283 <- wrt source file
2025-11-03T16:35:10.3938294Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-11-03T16:35:10.3939936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 359 <- wrt source file
2025-11-03T16:35:10.3941680Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-11-03T16:35:10.3943559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file
2025-11-03T16:35:10.3945325Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-11-03T16:35:10.3947078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file
2025-11-03T16:35:10.3950851Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-11-03T16:35:10.3952659Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file
2025-11-03T16:35:10.3954490Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-11-03T16:35:10.3956281Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file
2025-11-03T16:35:10.3958111Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-11-03T16:35:10.3959874Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file
2025-11-03T16:35:10.3961714Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-11-03T16:35:10.3963534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file
2025-11-03T16:35:10.3965589Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-11-03T16:35:10.3968134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file
2025-11-03T16:35:10.3970185Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-11-03T16:35:10.3972117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file
2025-11-03T16:35:10.3974065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-11-03T16:35:10.3975931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file
2025-11-03T16:35:10.3977787Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-11-03T16:35:10.3979546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file
2025-11-03T16:35:10.3981383Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-11-03T16:35:10.3983022Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file
2025-11-03T16:35:10.3984599Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-11-03T16:35:10.3986300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file
2025-11-03T16:35:10.3988232Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-11-03T16:35:10.3990093Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file
2025-11-03T16:35:10.3991974Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-11-03T16:35:10.3993730Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file
2025-11-03T16:35:10.3995515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-11-03T16:35:10.3997242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file
2025-11-03T16:35:10.3999048Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-11-03T16:35:10.4000749Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file
2025-11-03T16:35:10.4002474Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2025-11-03T16:35:10.4004275Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file
2025-11-03T16:35:10.4006031Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-11-03T16:35:10.4007688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file
2025-11-03T16:35:10.4009665Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-11-03T16:35:10.4011429Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file
2025-11-03T16:35:10.4013304Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-11-03T16:35:10.4015094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file
2025-11-03T16:35:10.4016991Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-11-03T16:35:10.4018815Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file
2025-11-03T16:35:10.4020652Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-11-03T16:35:10.4022449Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file
2025-11-03T16:35:10.4024339Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-11-03T16:35:10.4026222Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file
2025-11-03T16:35:10.4028316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-11-03T16:35:10.4030317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file
2025-11-03T16:35:10.4032365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-11-03T16:35:10.4034342Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file
2025-11-03T16:35:10.4036270Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-11-03T16:35:10.4038026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file
2025-11-03T16:35:10.4039793Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-11-03T16:35:10.4041445Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file
2025-11-03T16:35:10.4043128Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2025-11-03T16:35:10.4045269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file
2025-11-03T16:35:10.4064246Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0
2025-11-03T16:35:10.4066620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file
2025-11-03T16:35:10.4069315Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-11-03T16:35:10.4071325Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 25 <- wrt source file
2025-11-03T16:35:10.4073161Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-11-03T16:35:10.4074967Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file
2025-11-03T16:35:10.4076927Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-11-03T16:35:10.4078940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file
2025-11-03T16:35:10.4081055Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2025-11-03T16:35:10.4082787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file
2025-11-03T16:35:10.4084482Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-11-03T16:35:10.4086222Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file
2025-11-03T16:35:10.4091438Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-11-03T16:35:10.4093390Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file
2025-11-03T16:35:10.4099457Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-11-03T16:35:10.4101403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file
2025-11-03T16:35:10.4106429Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-11-03T16:35:10.4108409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file
2025-11-03T16:35:10.4114090Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-11-03T16:35:10.4115942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file
2025-11-03T16:35:10.4117643Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-11-03T16:35:10.4119322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file
2025-11-03T16:35:10.4121110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-11-03T16:35:10.4123082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file
2025-11-03T16:35:10.4124909Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-11-03T16:35:10.4126606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file
2025-11-03T16:35:10.4128338Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-11-03T16:35:10.4130037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file
2025-11-03T16:35:10.4131836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-11-03T16:35:10.4133555Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file
2025-11-03T16:35:10.4135303Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-11-03T16:35:10.4137119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file
2025-11-03T16:35:10.4139072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-11-03T16:35:10.4141016Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file
2025-11-03T16:35:10.4143222Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-11-03T16:35:10.4145113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file
2025-11-03T16:35:10.4146891Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-11-03T16:35:10.4148668Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file
2025-11-03T16:35:10.4150489Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-11-03T16:35:10.4152240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file
2025-11-03T16:35:10.4154026Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-11-03T16:35:10.4155743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 173 <- wrt source file
2025-11-03T16:35:10.4157475Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-11-03T16:35:10.4159181Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 555 <- wrt source file
2025-11-03T16:35:10.4160942Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-11-03T16:35:10.4162666Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 577 <- wrt source file
2025-11-03T16:35:10.4164740Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-11-03T16:35:10.4166440Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 591 <- wrt source file
2025-11-03T16:35:10.4168419Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-11-03T16:35:10.4170149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 613 <- wrt source file
2025-11-03T16:35:10.4171893Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-11-03T16:35:10.4173580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 740 <- wrt source file
2025-11-03T16:35:10.4175261Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-11-03T16:35:10.4177083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file
2025-11-03T16:35:10.4179118Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0
2025-11-03T16:35:10.4181116Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file
2025-11-03T16:35:10.4183178Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0
2025-11-03T16:35:10.4185370Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file
2025-11-03T16:35:10.4187356Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-11-03T16:35:10.4189616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file
2025-11-03T16:35:10.4192265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0
2025-11-03T16:35:10.4194823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file
2025-11-03T16:35:10.4197434Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0
2025-11-03T16:35:10.4199961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file
2025-11-03T16:35:10.4202555Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0
2025-11-03T16:35:10.4205274Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file
2025-11-03T16:35:10.4208193Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0
2025-11-03T16:35:10.4210520Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file
2025-11-03T16:35:10.4212571Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-11-03T16:35:10.4214551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file
2025-11-03T16:35:10.4216611Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-11-03T16:35:10.4218556Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file
2025-11-03T16:35:10.4220553Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0
2025-11-03T16:35:10.4222558Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file
2025-11-03T16:35:10.4224671Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-11-03T16:35:10.4226507Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file
2025-11-03T16:35:10.4228360Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-11-03T16:35:10.4229943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file
2025-11-03T16:35:10.4231535Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-11-03T16:35:10.4233092Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file
2025-11-03T16:35:10.4234755Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-11-03T16:35:10.4236359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file
2025-11-03T16:35:10.4238035Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-11-03T16:35:10.4239704Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 72 <- wrt source file
2025-11-03T16:35:10.4241553Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-11-03T16:35:10.4243371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 116 <- wrt source file
2025-11-03T16:35:10.4245287Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-11-03T16:35:10.4247079Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 169 <- wrt source file
2025-11-03T16:35:10.4249082Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-11-03T16:35:10.4250914Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file
2025-11-03T16:35:10.4252888Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-11-03T16:35:10.4254807Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file
2025-11-03T16:35:10.4256783Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-11-03T16:35:10.4258520Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file
2025-11-03T16:35:10.4260104Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0
2025-11-03T16:35:10.4261596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file
2025-11-03T16:35:10.4263143Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0
2025-11-03T16:35:10.4264669Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file
2025-11-03T16:35:10.4266282Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0
2025-11-03T16:35:10.4268331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file
2025-11-03T16:35:10.4270042Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0
2025-11-03T16:35:10.4271596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file
2025-11-03T16:35:10.4273258Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0
2025-11-03T16:35:10.4274815Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file
2025-11-03T16:35:10.4276422Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0
2025-11-03T16:35:10.4277957Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file
2025-11-03T16:35:10.4279548Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0
2025-11-03T16:35:10.4281031Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file
2025-11-03T16:35:10.4282597Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-11-03T16:35:10.4284202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file
2025-11-03T16:35:10.4285800Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-11-03T16:35:10.4287418Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file
2025-11-03T16:35:10.4289400Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-11-03T16:35:10.4291009Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file
2025-11-03T16:35:10.4292702Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-11-03T16:35:10.4294303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file
2025-11-03T16:35:10.4295880Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0
2025-11-03T16:35:10.4297476Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file
2025-11-03T16:35:10.4299201Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-11-03T16:35:10.4300849Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file
2025-11-03T16:35:10.4302568Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-11-03T16:35:10.4304184Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file
2025-11-03T16:35:10.4305795Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-11-03T16:35:10.4307334Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file
2025-11-03T16:35:10.4309871Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-11-03T16:35:10.4311580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file
2025-11-03T16:35:10.4313379Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-11-03T16:35:10.4315102Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file
2025-11-03T16:35:10.4316857Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-11-03T16:35:10.4318584Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file
2025-11-03T16:35:10.4320433Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-11-03T16:35:10.4322097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-11-03T16:35:10.4323744Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0
2025-11-03T16:35:10.4325335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file
2025-11-03T16:35:10.4327047Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0
2025-11-03T16:35:10.4328637Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file
2025-11-03T16:35:10.4344250Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-11-03T16:35:10.4345808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file
2025-11-03T16:35:10.4347429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-11-03T16:35:10.4348935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file
2025-11-03T16:35:10.4350497Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-11-03T16:35:10.4352014Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file
2025-11-03T16:35:10.4353587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-11-03T16:35:10.4355025Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file
2025-11-03T16:35:10.4356433Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0
2025-11-03T16:35:10.4357935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file
2025-11-03T16:35:10.4359481Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-11-03T16:35:10.4361012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file
2025-11-03T16:35:10.4362757Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-11-03T16:35:10.4364222Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file
2025-11-03T16:35:10.4365657Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-11-03T16:35:10.4367123Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file
2025-11-03T16:35:10.4368921Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-11-03T16:35:10.4370377Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-11-03T16:35:10.4371647Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0
2025-11-03T16:35:10.4373170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file
2025-11-03T16:35:10.4375032Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0
2025-11-03T16:35:10.4376867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file
2025-11-03T16:35:10.4378744Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0
2025-11-03T16:35:10.4380575Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file
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2025-11-03T16:35:10.4586100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce_extern_wrapper:0, line 1135 <- wrt source file
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2025-11-03T16:35:10.4595441Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-11-03T16:35:10.4597276Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 137 <- wrt source file
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2025-11-03T16:35:10.4605605Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 51 <- wrt source file
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2025-11-03T16:35:10.4614199Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 131 <- wrt source file
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2025-11-03T16:35:10.4618366Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 149 <- wrt source file
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2025-11-03T16:35:10.4622631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 188 <- wrt source file
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2025-11-03T16:35:10.4626944Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py::post_localSGD_hook:0, line 91 <- wrt source file
2025-11-03T16:35:10.4629172Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py::post_localSGD_hook:0
2025-11-03T16:35:10.4631436Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0, line 395 <- wrt source file
2025-11-03T16:35:10.4633565Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0
2025-11-03T16:35:10.4635698Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 708 <- wrt source file
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2025-11-03T16:35:10.4640138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file
2025-11-03T16:35:10.4642515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0
2025-11-03T16:35:10.4644896Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 146 <- wrt source file
2025-11-03T16:35:10.4647270Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0
2025-11-03T16:35:10.4649526Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0, line 57 <- wrt source file
2025-11-03T16:35:10.4651940Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0
2025-11-03T16:35:10.4654278Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0, line 54 <- wrt source file
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2025-11-03T16:35:10.4659025Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0, line 49 <- wrt source file
2025-11-03T16:35:10.4661152Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0
2025-11-03T16:35:10.4663205Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file
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2025-11-03T16:35:10.4667359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file
2025-11-03T16:35:10.4669698Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0
2025-11-03T16:35:10.4671667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1271 <- wrt source file
2025-11-03T16:35:10.4673847Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0
2025-11-03T16:35:10.4675775Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1526 <- wrt source file
2025-11-03T16:35:10.4677832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0
2025-11-03T16:35:10.4679843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1585 <- wrt source file
2025-11-03T16:35:10.4681936Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0
2025-11-03T16:35:10.4683907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0, line 131 <- wrt source file
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2025-11-03T16:35:10.4687608Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0, line 159 <- wrt source file
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2025-11-03T16:35:10.4691314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0, line 274 <- wrt source file
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2025-11-03T16:35:10.4695468Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0, line 50 <- wrt source file
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2025-11-03T16:35:10.4699649Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0, line 78 <- wrt source file
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2025-11-03T16:35:10.4708260Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0, line 104 <- wrt source file
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2025-11-03T16:35:10.4712537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0, line 142 <- wrt source file
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2025-11-03T16:35:10.4717154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0, line 213 <- wrt source file
2025-11-03T16:35:10.4719384Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0
2025-11-03T16:35:10.4721562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0, line 260 <- wrt source file
2025-11-03T16:35:10.4723957Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0
2025-11-03T16:35:10.4726106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0, line 211 <- wrt source file
2025-11-03T16:35:10.4728298Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0
2025-11-03T16:35:10.4730393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0, line 110 <- wrt source file
2025-11-03T16:35:10.4732519Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0
2025-11-03T16:35:10.4734652Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0, line 232 <- wrt source file
2025-11-03T16:35:10.4736797Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0
2025-11-03T16:35:10.4738906Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 141 <- wrt source file
2025-11-03T16:35:10.4740850Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0
2025-11-03T16:35:10.4742642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0, line 202 <- wrt source file
2025-11-03T16:35:10.4744382Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0
2025-11-03T16:35:10.4746069Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file
2025-11-03T16:35:10.4747816Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::StateDictType:0
2025-11-03T16:35:10.4749755Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 125 <- wrt source file
2025-11-03T16:35:10.4751948Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0
2025-11-03T16:35:10.4754155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0, line 651 <- wrt source file
2025-11-03T16:35:10.4756600Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0
2025-11-03T16:35:10.4758970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.state_dict_type:0, line 805 <- wrt source file
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2025-11-03T16:35:10.4764075Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1513 <- wrt source file
2025-11-03T16:35:10.4766627Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0
2025-11-03T16:35:10.4769537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1633 <- wrt source file
2025-11-03T16:35:10.4771384Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0
2025-11-03T16:35:10.4772742Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1718 <- wrt source file
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2025-11-03T16:35:10.4775303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict:0, line 1850 <- wrt source file
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2025-11-03T16:35:10.4778279Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict_to_load:0, line 1937 <- wrt source file
2025-11-03T16:35:10.4779577Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict_to_load:0
2025-11-03T16:35:10.4780688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 57 <- wrt source file
2025-11-03T16:35:10.4781720Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0
2025-11-03T16:35:10.4782769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 227 <- wrt source file
2025-11-03T16:35:10.4783807Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0
2025-11-03T16:35:10.4784696Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file
2025-11-03T16:35:10.4785623Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0
2025-11-03T16:35:10.4786612Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0, line 196 <- wrt source file
2025-11-03T16:35:10.4787641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0
2025-11-03T16:35:10.4789140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.init_from_module_rref:0, line 532 <- wrt source file
2025-11-03T16:35:10.4790280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.init_from_module_rref:0
2025-11-03T16:35:10.4791297Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0, line 663 <- wrt source file
2025-11-03T16:35:10.4792260Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0
2025-11-03T16:35:10.4793543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 43 <- wrt source file
2025-11-03T16:35:10.4794721Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0
2025-11-03T16:35:10.4795855Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 114 <- wrt source file
2025-11-03T16:35:10.4796991Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0
2025-11-03T16:35:10.4798025Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file
2025-11-03T16:35:10.4799018Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0
2025-11-03T16:35:10.4800350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0, line 162 <- wrt source file
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2025-11-03T16:35:10.4802905Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0, line 19 <- wrt source file
2025-11-03T16:35:10.4804129Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0
2025-11-03T16:35:10.4805471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file
2025-11-03T16:35:10.4806762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0
2025-11-03T16:35:10.4807820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0, line 341 <- wrt source file
2025-11-03T16:35:10.4808939Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0
2025-11-03T16:35:10.4809909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 345 <- wrt source file
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2025-11-03T16:35:10.4812348Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 36 <- wrt source file
2025-11-03T16:35:10.4813455Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0
2025-11-03T16:35:10.4814663Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 85 <- wrt source file
2025-11-03T16:35:10.4815767Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-11-03T16:35:10.4816884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 104 <- wrt source file
2025-11-03T16:35:10.4818066Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-11-03T16:35:10.4819149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file
2025-11-03T16:35:10.4820463Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::_wait_all:0
2025-11-03T16:35:10.4821331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 343 <- wrt source file
2025-11-03T16:35:10.4822165Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0
2025-11-03T16:35:10.4822953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0, line 605 <- wrt source file
2025-11-03T16:35:10.4823761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0
2025-11-03T16:35:10.4824962Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 786 <- wrt source file
2025-11-03T16:35:10.4825994Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2025-11-03T16:35:10.4826805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 878 <- wrt source file
2025-11-03T16:35:10.4827629Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-11-03T16:35:10.4828490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0, line 34 <- wrt source file
2025-11-03T16:35:10.4829512Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2025-11-03T16:35:10.4830917Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0, line 126 <- wrt source file
2025-11-03T16:35:10.4832052Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0
2025-11-03T16:35:10.4833172Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0, line 62 <- wrt source file
2025-11-03T16:35:10.4834354Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0
2025-11-03T16:35:10.4835607Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 872 <- wrt source file
2025-11-03T16:35:10.4836841Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0
2025-11-03T16:35:10.4838065Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0, line 30 <- wrt source file
2025-11-03T16:35:10.4839076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0
2025-11-03T16:35:10.4840092Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec.format_shard_order_str:0, line 280 <- wrt source file
2025-11-03T16:35:10.4841190Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec.format_shard_order_str:0
2025-11-03T16:35:10.4842648Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 297 <- wrt source file
2025-11-03T16:35:10.4843898Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0
2025-11-03T16:35:10.4844928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 231 <- wrt source file
2025-11-03T16:35:10.4845921Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0
2025-11-03T16:35:10.4846915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0, line 103 <- wrt source file
2025-11-03T16:35:10.4848314Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0
2025-11-03T16:35:10.4849495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0, line 47 <- wrt source file
2025-11-03T16:35:10.4850653Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0
2025-11-03T16:35:10.4851854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_LoadBalancer._generate_indices:0, line 31 <- wrt source file
2025-11-03T16:35:10.4853462Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_LoadBalancer._generate_indices:0
2025-11-03T16:35:10.4855497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_HeadTailLoadBalancer._generate_indices:0, line 103 <- wrt source file
2025-11-03T16:35:10.4857418Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_HeadTailLoadBalancer._generate_indices:0
2025-11-03T16:35:10.4858858Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PerDocumentHeadTailLoadBalancer._generate_indices:0, line 214 <- wrt source file
2025-11-03T16:35:10.4860306Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PerDocumentHeadTailLoadBalancer._generate_indices:0
2025-11-03T16:35:10.4861940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer.ptrr_scheduling:0, line 340 <- wrt source file
2025-11-03T16:35:10.4863316Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer.ptrr_scheduling:0
2025-11-03T16:35:10.4864731Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer._generate_indices:0, line 398 <- wrt source file
2025-11-03T16:35:10.4866065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer._generate_indices:0
2025-11-03T16:35:10.4867198Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 56 <- wrt source file
2025-11-03T16:35:10.4868413Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2025-11-03T16:35:10.4869424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file
2025-11-03T16:35:10.4870461Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0
2025-11-03T16:35:10.4871439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 56 <- wrt source file
2025-11-03T16:35:10.4872709Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-11-03T16:35:10.4873699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 64 <- wrt source file
2025-11-03T16:35:10.4874907Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-11-03T16:35:10.4875909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file
2025-11-03T16:35:10.4876905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-11-03T16:35:10.4877888Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file
2025-11-03T16:35:10.4878893Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-11-03T16:35:10.4879869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file
2025-11-03T16:35:10.4881199Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0
2025-11-03T16:35:10.4882236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 618 <- wrt source file
2025-11-03T16:35:10.4883290Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0
2025-11-03T16:35:10.4884447Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 744 <- wrt source file
2025-11-03T16:35:10.4885526Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0
2025-11-03T16:35:10.4886580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-11-03T16:35:10.4888204Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-11-03T16:35:10.4889503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-11-03T16:35:10.4890649Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0
2025-11-03T16:35:10.4891944Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-11-03T16:35:10.4893175Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0
2025-11-03T16:35:10.4894307Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-11-03T16:35:10.4895410Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0
2025-11-03T16:35:10.4896489Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-11-03T16:35:10.4897414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-11-03T16:35:10.4898322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-11-03T16:35:10.4899314Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0
2025-11-03T16:35:10.4900426Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file
2025-11-03T16:35:10.4901490Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-11-03T16:35:10.4902702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file
2025-11-03T16:35:10.4903955Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-11-03T16:35:10.4904948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-11-03T16:35:10.4905982Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-11-03T16:35:10.4906909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file
2025-11-03T16:35:10.4908002Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-11-03T16:35:10.4908863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-11-03T16:35:10.4909755Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0
2025-11-03T16:35:10.4910759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-11-03T16:35:10.4911978Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-11-03T16:35:10.4912981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-11-03T16:35:10.4913972Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0
2025-11-03T16:35:10.4915006Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-11-03T16:35:10.4916071Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-11-03T16:35:10.4917147Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-11-03T16:35:10.4918034Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0
2025-11-03T16:35:10.4919029Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-11-03T16:35:10.4919866Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-11-03T16:35:10.4920850Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-11-03T16:35:10.4921745Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-11-03T16:35:10.4922596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-11-03T16:35:10.4923473Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-11-03T16:35:10.4924566Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-11-03T16:35:10.4925477Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0
2025-11-03T16:35:10.4926354Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-11-03T16:35:10.4927265Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-11-03T16:35:10.4928149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-11-03T16:35:10.4929035Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-11-03T16:35:10.4929879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-11-03T16:35:10.4930729Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0
2025-11-03T16:35:10.4931571Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-11-03T16:35:10.4932465Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-11-03T16:35:10.4933321Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-11-03T16:35:10.4934178Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-11-03T16:35:10.4935146Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-11-03T16:35:10.4936125Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-11-03T16:35:10.4937153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file
2025-11-03T16:35:10.4938279Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2025-11-03T16:35:10.4939310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file
2025-11-03T16:35:10.4940311Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2025-11-03T16:35:10.4941263Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-11-03T16:35:10.4942159Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-11-03T16:35:10.4943093Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-11-03T16:35:10.4944110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-11-03T16:35:10.4945005Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-11-03T16:35:10.4945921Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0
2025-11-03T16:35:10.4946817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file
2025-11-03T16:35:10.4947827Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-11-03T16:35:10.4948907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-11-03T16:35:10.4949793Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0
2025-11-03T16:35:10.4950609Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-11-03T16:35:10.4951472Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0
2025-11-03T16:35:10.4952478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file
2025-11-03T16:35:10.4953576Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2025-11-03T16:35:10.4954577Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file
2025-11-03T16:35:10.4955631Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2025-11-03T16:35:10.4956782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-11-03T16:35:10.4957772Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0
2025-11-03T16:35:10.4958636Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file
2025-11-03T16:35:10.4959537Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-11-03T16:35:10.4960589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file
2025-11-03T16:35:10.4961505Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-11-03T16:35:10.4962472Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file
2025-11-03T16:35:10.4963790Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-11-03T16:35:10.4964741Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-11-03T16:35:10.4965579Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0
2025-11-03T16:35:10.4966392Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-11-03T16:35:10.4967236Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-11-03T16:35:10.4968484Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file
2025-11-03T16:35:10.4969420Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-11-03T16:35:10.4970267Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-11-03T16:35:10.4971097Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0
2025-11-03T16:35:10.4971901Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-11-03T16:35:10.4972839Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0
2025-11-03T16:35:10.4973763Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0, line 158 <- wrt source file
2025-11-03T16:35:10.4974674Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0
2025-11-03T16:35:10.4975512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file
2025-11-03T16:35:10.4976339Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-11-03T16:35:10.4977191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 737 <- wrt source file
2025-11-03T16:35:10.4978283Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-11-03T16:35:10.4979177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 753 <- wrt source file
2025-11-03T16:35:10.4980253Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-11-03T16:35:10.4981130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 837 <- wrt source file
2025-11-03T16:35:10.4982231Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-11-03T16:35:10.4983053Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0, line 103 <- wrt source file
2025-11-03T16:35:10.4983823Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0
2025-11-03T16:35:10.4984632Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1983 <- wrt source file
2025-11-03T16:35:10.4985497Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-11-03T16:35:10.4986403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 2077 <- wrt source file
2025-11-03T16:35:10.4987346Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-11-03T16:35:10.4988156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0, line 49 <- wrt source file
2025-11-03T16:35:10.4988978Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-11-03T16:35:10.4989858Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0, line 480 <- wrt source file
2025-11-03T16:35:10.4990899Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0
2025-11-03T16:35:10.4991742Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0, line 126 <- wrt source file
2025-11-03T16:35:10.4992637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-11-03T16:35:10.4993456Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
2025-11-03T16:35:10.4994243Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0
2025-11-03T16:35:10.4995019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0, line 65 <- wrt source file
2025-11-03T16:35:10.4995829Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-11-03T16:35:10.4996617Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 93 <- wrt source file
2025-11-03T16:35:10.4997429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-11-03T16:35:10.4998415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0, line 273 <- wrt source file
2025-11-03T16:35:10.4999198Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0
2025-11-03T16:35:10.4999958Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0, line 317 <- wrt source file
2025-11-03T16:35:10.5000846Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0
2025-11-03T16:35:10.5001727Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 97 <- wrt source file
2025-11-03T16:35:10.5002727Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-11-03T16:35:10.5003769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file
2025-11-03T16:35:10.5004682Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-11-03T16:35:10.5005701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file
2025-11-03T16:35:10.5006941Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-11-03T16:35:10.5007904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 19 <- wrt source file
2025-11-03T16:35:10.5008849Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-11-03T16:35:10.5009793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 45 <- wrt source file
2025-11-03T16:35:10.5010741Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-11-03T16:35:10.5011961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0, line 102 <- wrt source file
2025-11-03T16:35:10.5012949Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-11-03T16:35:10.5013914Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0, line 37 <- wrt source file
2025-11-03T16:35:10.5015149Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-11-03T16:35:10.5016182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0, line 64 <- wrt source file
2025-11-03T16:35:10.5017629Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-11-03T16:35:10.5018669Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 90 <- wrt source file
2025-11-03T16:35:10.5019865Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-11-03T16:35:10.5021026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 106 <- wrt source file
2025-11-03T16:35:10.5022061Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-11-03T16:35:10.5023062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 122 <- wrt source file
2025-11-03T16:35:10.5024235Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-11-03T16:35:10.5025467Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 138 <- wrt source file
2025-11-03T16:35:10.5026533Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-11-03T16:35:10.5027564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0, line 158 <- wrt source file
2025-11-03T16:35:10.5028815Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-11-03T16:35:10.5029863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0, line 178 <- wrt source file
2025-11-03T16:35:10.5031143Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-11-03T16:35:10.5032156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0, line 204 <- wrt source file
2025-11-03T16:35:10.5033171Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-11-03T16:35:10.5034323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0, line 221 <- wrt source file
2025-11-03T16:35:10.5035554Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-11-03T16:35:10.5036707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0, line 247 <- wrt source file
2025-11-03T16:35:10.5037914Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0
2025-11-03T16:35:10.5038995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0, line 275 <- wrt source file
2025-11-03T16:35:10.5040134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0
2025-11-03T16:35:10.5041293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0, line 329 <- wrt source file
2025-11-03T16:35:10.5042317Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0
2025-11-03T16:35:10.5043320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0, line 376 <- wrt source file
2025-11-03T16:35:10.5044657Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0
2025-11-03T16:35:10.5045665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 417 <- wrt source file
2025-11-03T16:35:10.5046672Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-11-03T16:35:10.5047644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file
2025-11-03T16:35:10.5048921Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-11-03T16:35:10.5049875Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file
2025-11-03T16:35:10.5050833Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-11-03T16:35:10.5051770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file
2025-11-03T16:35:10.5052916Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-11-03T16:35:10.5053845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file
2025-11-03T16:35:10.5054776Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-11-03T16:35:10.5055703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file
2025-11-03T16:35:10.5056900Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-11-03T16:35:10.5057921Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 28 <- wrt source file
2025-11-03T16:35:10.5058999Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-11-03T16:35:10.5060197Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file
2025-11-03T16:35:10.5061545Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-11-03T16:35:10.5062699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0, line 138 <- wrt source file
2025-11-03T16:35:10.5063912Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-11-03T16:35:10.5065282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 191 <- wrt source file
2025-11-03T16:35:10.5066941Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-11-03T16:35:10.5068303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 305 <- wrt source file
2025-11-03T16:35:10.5069917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-11-03T16:35:10.5071109Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 436 <- wrt source file
2025-11-03T16:35:10.5072277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-11-03T16:35:10.5073564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file
2025-11-03T16:35:10.5074699Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-11-03T16:35:10.5075781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file
2025-11-03T16:35:10.5076864Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-11-03T16:35:10.5077920Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
2025-11-03T16:35:10.5079036Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-11-03T16:35:10.5080104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file
2025-11-03T16:35:10.5081173Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-11-03T16:35:10.5082248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-11-03T16:35:10.5083330Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-11-03T16:35:10.5084627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
2025-11-03T16:35:10.5085760Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-11-03T16:35:10.5086859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 83 <- wrt source file
2025-11-03T16:35:10.5087965Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-11-03T16:35:10.5088973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file
2025-11-03T16:35:10.5121821Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-11-03T16:35:10.5123371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file
2025-11-03T16:35:10.5125020Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-11-03T16:35:10.5126592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0, line 94 <- wrt source file
2025-11-03T16:35:10.5128293Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-11-03T16:35:10.5129932Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file
2025-11-03T16:35:10.5131501Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0
2025-11-03T16:35:10.5132792Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file
2025-11-03T16:35:10.5133750Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-11-03T16:35:10.5134683Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file
2025-11-03T16:35:10.5135617Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-11-03T16:35:10.5136557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file
2025-11-03T16:35:10.5137536Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-11-03T16:35:10.5138469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file
2025-11-03T16:35:10.5139380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-11-03T16:35:10.5140204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file
2025-11-03T16:35:10.5148127Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0
2025-11-03T16:35:10.5149129Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file
2025-11-03T16:35:10.5150105Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-11-03T16:35:10.5151035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file
2025-11-03T16:35:10.5184874Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-11-03T16:35:10.5186132Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file
2025-11-03T16:35:10.5769081Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-11-03T16:35:10.5793405Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file
2025-11-03T16:35:10.5803097Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-11-03T16:35:10.5804311Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file
2025-11-03T16:35:10.5814669Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0
2025-11-03T16:35:10.5816034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2643 <- wrt source file
2025-11-03T16:35:10.5826444Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0
2025-11-03T16:35:10.5827432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3082 <- wrt source file
2025-11-03T16:35:10.5840571Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0
2025-11-03T16:35:10.5841415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3152 <- wrt source file
2025-11-03T16:35:10.5847553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0
2025-11-03T16:35:10.5848414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3471 <- wrt source file
2025-11-03T16:35:10.5856559Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0
2025-11-03T16:35:10.5857445Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3537 <- wrt source file
2025-11-03T16:35:10.5863352Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-11-03T16:35:10.5864365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3608 <- wrt source file
2025-11-03T16:35:10.5871067Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-11-03T16:35:10.5871971Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5382 <- wrt source file
2025-11-03T16:35:10.5882565Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0
2025-11-03T16:35:10.5883358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-11-03T16:35:10.5891844Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0
2025-11-03T16:35:10.5892901Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-11-03T16:35:10.5897454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-11-03T16:35:10.5898486Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-11-03T16:35:10.5904638Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0
2025-11-03T16:35:10.5905509Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-11-03T16:35:10.5910100Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-11-03T16:35:10.5910913Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-11-03T16:35:10.5936805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0
2025-11-03T16:35:10.5937843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-11-03T16:35:10.5952836Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-11-03T16:35:10.5953883Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file
2025-11-03T16:35:10.5956438Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0
2025-11-03T16:35:10.5957682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file
2025-11-03T16:35:10.5960477Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0
2025-11-03T16:35:10.5961470Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file
2025-11-03T16:35:10.5964236Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0
2025-11-03T16:35:10.5965094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file
2025-11-03T16:35:10.5969261Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0
2025-11-03T16:35:10.5970120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file
2025-11-03T16:35:10.5973141Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0
2025-11-03T16:35:10.5973965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file
2025-11-03T16:35:10.5976892Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0
2025-11-03T16:35:10.5977723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file
2025-11-03T16:35:10.5980591Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0
2025-11-03T16:35:10.5981408Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file
2025-11-03T16:35:10.5984845Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0
2025-11-03T16:35:10.5985664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file
2025-11-03T16:35:10.5990020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0
2025-11-03T16:35:10.5990891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file
2025-11-03T16:35:10.5994105Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-11-03T16:35:10.5995012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file
2025-11-03T16:35:10.5998026Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0
2025-11-03T16:35:10.5998921Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file
2025-11-03T16:35:10.6002135Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-11-03T16:35:10.6003059Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file
2025-11-03T16:35:10.6006669Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-11-03T16:35:10.6007660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file
2025-11-03T16:35:10.6008577Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0
2025-11-03T16:35:10.6009347Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file
2025-11-03T16:35:10.6012907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0
2025-11-03T16:35:10.6014285Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 121 <- wrt source file
2025-11-03T16:35:10.6015187Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-11-03T16:35:10.6016753Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file
2025-11-03T16:35:10.6017952Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-11-03T16:35:10.6019043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file
2025-11-03T16:35:10.6020165Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0
2025-11-03T16:35:10.6021228Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-11-03T16:35:10.6023061Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-11-03T16:35:10.6023902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-11-03T16:35:10.6029889Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-11-03T16:35:10.6030885Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-11-03T16:35:10.6034663Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-11-03T16:35:10.6035509Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-11-03T16:35:10.6039366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-11-03T16:35:10.6040216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-11-03T16:35:10.6044211Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-11-03T16:35:10.6045295Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-11-03T16:35:10.6048749Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-11-03T16:35:10.6049840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-11-03T16:35:10.6052891Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-11-03T16:35:10.6053754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-11-03T16:35:10.6057130Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-11-03T16:35:10.6057955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-11-03T16:35:10.6061543Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-11-03T16:35:10.6062367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-11-03T16:35:10.6065888Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0
2025-11-03T16:35:10.6066750Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-11-03T16:35:10.6070629Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-11-03T16:35:10.6071501Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-11-03T16:35:10.6075074Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0
2025-11-03T16:35:10.6075907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-11-03T16:35:10.6079468Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0
2025-11-03T16:35:10.6080348Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-11-03T16:35:10.6084024Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0
2025-11-03T16:35:10.6085075Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-11-03T16:35:10.6089140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0
2025-11-03T16:35:10.6090233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-11-03T16:35:10.6095728Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0
2025-11-03T16:35:10.6096906Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-11-03T16:35:10.6100158Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-11-03T16:35:10.6101332Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-11-03T16:35:10.6104672Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-11-03T16:35:10.6105853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-11-03T16:35:10.6109464Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-11-03T16:35:10.6110623Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-11-03T16:35:10.6114069Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-11-03T16:35:10.6115226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-11-03T16:35:10.6118807Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-11-03T16:35:10.6120270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file
2025-11-03T16:35:10.6121550Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-11-03T16:35:10.6122697Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file
2025-11-03T16:35:10.6124470Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-11-03T16:35:10.6125566Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file
2025-11-03T16:35:10.6129195Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-11-03T16:35:10.6130343Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file
2025-11-03T16:35:10.6133539Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-11-03T16:35:10.6134653Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file
2025-11-03T16:35:10.6138057Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-11-03T16:35:10.6139155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file
2025-11-03T16:35:10.6142484Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-11-03T16:35:10.6143719Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file
2025-11-03T16:35:10.6147242Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-11-03T16:35:10.6148369Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file
2025-11-03T16:35:10.6151663Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-11-03T16:35:10.6152789Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file
2025-11-03T16:35:10.6160104Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-11-03T16:35:10.6161271Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file
2025-11-03T16:35:10.6309342Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-11-03T16:35:10.6310526Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file
2025-11-03T16:35:10.8004826Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-11-03T16:35:10.8187432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file
2025-11-03T16:35:10.8189932Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2025-11-03T16:35:10.8191842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file
2025-11-03T16:35:10.8192932Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2025-11-03T16:35:10.8193916Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-11-03T16:35:10.8216653Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-11-03T16:35:10.8217882Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-11-03T16:35:10.8219037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0
2025-11-03T16:35:10.8234357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file
2025-11-03T16:35:10.8235776Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-11-03T16:35:10.8236999Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file
2025-11-03T16:35:10.8238224Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-11-03T16:35:10.8239410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file
2025-11-03T16:35:10.8248691Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-11-03T16:35:10.8249932Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file
2025-11-03T16:35:10.8251084Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-11-03T16:35:10.8252225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 530 <- wrt source file
2025-11-03T16:35:10.8253375Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-11-03T16:35:10.8254506Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 662 <- wrt source file
2025-11-03T16:35:10.8255678Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-11-03T16:35:10.8256837Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 820 <- wrt source file
2025-11-03T16:35:10.8258000Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-11-03T16:35:10.8259153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-11-03T16:35:10.8262191Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-11-03T16:35:10.8263194Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-11-03T16:35:10.8270139Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-11-03T16:35:10.8271352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-11-03T16:35:10.8275811Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-11-03T16:35:10.8276723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-11-03T16:35:10.8281967Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-11-03T16:35:10.8299296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-11-03T16:35:10.8300349Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-11-03T16:35:10.8301238Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-11-03T16:35:10.8351982Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-11-03T16:35:10.8353346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-11-03T16:35:10.8356375Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-11-03T16:35:10.8357743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-11-03T16:35:10.8407688Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-11-03T16:35:10.8409283Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file
2025-11-03T16:35:10.8414190Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-11-03T16:35:10.8415214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 87 <- wrt source file
2025-11-03T16:35:10.8429736Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2025-11-03T16:35:10.8430765Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-11-03T16:35:10.8435615Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0
2025-11-03T16:35:10.8436610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-11-03T16:35:10.8450452Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-11-03T16:35:10.8451730Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file
2025-11-03T16:35:10.8463981Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-11-03T16:35:10.8465230Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file
2025-11-03T16:35:10.8591187Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-11-03T16:35:10.8592452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file
2025-11-03T16:35:11.0287700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-11-03T16:35:11.0463998Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-11-03T16:35:11.0468481Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-11-03T16:35:11.0469600Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-11-03T16:35:11.0476571Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0
2025-11-03T16:35:11.0477443Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-11-03T16:35:11.0487069Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0
2025-11-03T16:35:11.0488165Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-11-03T16:35:11.0503305Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-11-03T16:35:11.0504148Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file
2025-11-03T16:35:11.0511387Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-11-03T16:35:11.0512450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 216 <- wrt source file
2025-11-03T16:35:11.0536565Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-11-03T16:35:11.0537659Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 330 <- wrt source file
2025-11-03T16:35:11.0543493Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-11-03T16:35:11.0544579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 419 <- wrt source file
2025-11-03T16:35:11.0558080Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-11-03T16:35:11.0559187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 536 <- wrt source file
2025-11-03T16:35:11.0566552Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-11-03T16:35:11.0567378Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 618 <- wrt source file
2025-11-03T16:35:11.0574024Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-11-03T16:35:11.0581212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 704 <- wrt source file
2025-11-03T16:35:11.0582270Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-11-03T16:35:11.0583305Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 779 <- wrt source file
2025-11-03T16:35:11.0593216Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-11-03T16:35:11.0594608Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 827 <- wrt source file
2025-11-03T16:35:11.0600054Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-11-03T16:35:11.0601193Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 975 <- wrt source file
2025-11-03T16:35:11.0609138Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-11-03T16:35:11.0610037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1307 <- wrt source file
2025-11-03T16:35:11.0618816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-11-03T16:35:11.0619735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1334 <- wrt source file
2025-11-03T16:35:11.0622380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-11-03T16:35:11.0623281Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1496 <- wrt source file
2025-11-03T16:35:11.0631615Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-11-03T16:35:11.0632734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1563 <- wrt source file
2025-11-03T16:35:11.0639783Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-11-03T16:35:11.0640937Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1644 <- wrt source file
2025-11-03T16:35:11.0648135Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-11-03T16:35:11.0649038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1746 <- wrt source file
2025-11-03T16:35:11.0658935Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-11-03T16:35:11.0659888Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1859 <- wrt source file
2025-11-03T16:35:11.0677816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2025-11-03T16:35:11.0678927Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1991 <- wrt source file
2025-11-03T16:35:11.0702976Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-11-03T16:35:11.0704174Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file
2025-11-03T16:35:11.0705410Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-11-03T16:35:11.0706563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file
2025-11-03T16:35:11.0718854Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-11-03T16:35:11.0720204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file
2025-11-03T16:35:11.0727733Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0
2025-11-03T16:35:11.0728875Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2237 <- wrt source file
2025-11-03T16:35:11.0730055Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-11-03T16:35:11.0731204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2682 <- wrt source file
2025-11-03T16:35:11.0732390Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-11-03T16:35:11.0733576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2710 <- wrt source file
2025-11-03T16:35:11.0734811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-11-03T16:35:11.0735965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2737 <- wrt source file
2025-11-03T16:35:11.0737102Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-11-03T16:35:11.0738239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2764 <- wrt source file
2025-11-03T16:35:11.0740525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-11-03T16:35:11.0741738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2795 <- wrt source file
2025-11-03T16:35:11.0742943Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-11-03T16:35:11.0744078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2819 <- wrt source file
2025-11-03T16:35:11.0745220Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-11-03T16:35:11.0746355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2857 <- wrt source file
2025-11-03T16:35:11.0747555Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-11-03T16:35:11.0748754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-11-03T16:35:11.0776711Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-11-03T16:35:11.0777959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-11-03T16:35:11.0786527Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-11-03T16:35:11.0787687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-11-03T16:35:11.0794600Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-11-03T16:35:11.0795761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 367 <- wrt source file
2025-11-03T16:35:11.0800748Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-11-03T16:35:11.0801912Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-11-03T16:35:11.0808208Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-11-03T16:35:11.0809341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file
2025-11-03T16:35:11.0829209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-11-03T16:35:11.0830344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file
2025-11-03T16:35:11.5734272Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-11-03T16:35:11.6107208Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file
2025-11-03T16:35:11.6118780Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-11-03T16:35:11.6119926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file
2025-11-03T16:35:11.6125849Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-11-03T16:35:11.6126789Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file
2025-11-03T16:35:11.6144928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-11-03T16:35:11.6146261Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file
2025-11-03T16:35:11.6152433Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-11-03T16:35:11.6153584Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file
2025-11-03T16:35:11.6159561Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-11-03T16:35:11.6160698Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file
2025-11-03T16:35:11.6164205Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-11-03T16:35:11.6165151Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file
2025-11-03T16:35:11.6171785Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-11-03T16:35:11.6172710Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file
2025-11-03T16:35:11.6179211Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-11-03T16:35:11.6180160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file
2025-11-03T16:35:11.9849883Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-11-03T16:35:12.0219864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file
2025-11-03T16:35:12.0230739Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-11-03T16:35:12.0232364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file
2025-11-03T16:35:12.0237487Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-11-03T16:35:12.0239098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file
2025-11-03T16:35:12.0256026Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-11-03T16:35:12.0257713Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-11-03T16:35:12.0263066Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-11-03T16:35:12.0264807Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-11-03T16:35:12.0269882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-11-03T16:35:12.0271592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-11-03T16:35:12.0275011Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-11-03T16:35:12.0276615Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-11-03T16:35:12.0307983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-11-03T16:35:12.0309580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-11-03T16:35:12.1769863Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-11-03T16:35:12.1832791Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-11-03T16:35:12.1847447Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-11-03T16:35:12.1848613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file
2025-11-03T16:35:12.1868866Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2025-11-03T16:35:12.1870842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-11-03T16:35:12.2418657Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-11-03T16:35:12.2420772Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-11-03T16:35:12.2431098Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-11-03T16:35:12.2432716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-11-03T16:35:12.2460109Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-11-03T16:35:12.2461701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-11-03T16:35:12.3692602Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-11-03T16:35:12.3756320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-11-03T16:35:12.3793035Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-11-03T16:35:12.3794783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-11-03T16:35:12.4217508Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-11-03T16:35:12.4219119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file
2025-11-03T16:35:12.4227958Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-11-03T16:35:12.4229558Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file
2025-11-03T16:35:12.4266052Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-11-03T16:35:12.4268006Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file
2025-11-03T16:35:12.5919441Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-11-03T16:35:12.5982946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file
2025-11-03T16:35:12.5992043Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-11-03T16:35:12.5993833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file
2025-11-03T16:35:12.6003063Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-11-03T16:35:12.6004888Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file
2025-11-03T16:35:12.6021133Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-11-03T16:35:12.6022892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file
2025-11-03T16:35:12.6027511Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-11-03T16:35:12.6029699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file
2025-11-03T16:35:12.6037251Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-11-03T16:35:12.6038939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file
2025-11-03T16:35:12.6053635Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-11-03T16:35:12.6055219Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file
2025-11-03T16:35:12.6066499Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-11-03T16:35:12.6067580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file
2025-11-03T16:35:12.6290700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-11-03T16:35:12.6291997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file
2025-11-03T16:35:12.6305530Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-11-03T16:35:12.6306589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file
2025-11-03T16:35:12.6316032Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-11-03T16:35:12.6317398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file
2025-11-03T16:35:12.6326693Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-11-03T16:35:12.6327769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file
2025-11-03T16:35:12.6339225Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-11-03T16:35:12.6340795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-11-03T16:35:12.6354943Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-11-03T16:35:12.6356667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file
2025-11-03T16:35:12.6362705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-11-03T16:35:12.6364564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 322 <- wrt source file
2025-11-03T16:35:12.6379713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2025-11-03T16:35:12.6381467Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 521 <- wrt source file
2025-11-03T16:35:12.6388398Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-11-03T16:35:12.6390195Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file
2025-11-03T16:35:13.2753042Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-11-03T16:35:13.2767309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file
2025-11-03T16:35:13.2768894Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-11-03T16:35:13.2770153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file
2025-11-03T16:35:13.3622096Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-11-03T16:35:13.3624801Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 577 <- wrt source file
2025-11-03T16:35:13.5495274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-11-03T16:35:13.5551952Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 701 <- wrt source file
2025-11-03T16:35:13.5781093Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-11-03T16:35:13.5782492Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1012 <- wrt source file
2025-11-03T16:35:13.6208169Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-11-03T16:35:13.6209947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-11-03T16:35:13.6235704Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-11-03T16:35:13.6236953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-11-03T16:35:13.6248573Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-11-03T16:35:13.6249822Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-11-03T16:35:13.6257769Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-11-03T16:35:13.6259068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file
2025-11-03T16:35:13.6260041Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-11-03T16:35:13.6260991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file
2025-11-03T16:35:13.6262002Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-11-03T16:35:13.6262999Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file
2025-11-03T16:35:13.6264092Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-11-03T16:35:13.6265416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file
2025-11-03T16:35:13.6266454Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2025-11-03T16:35:13.6267513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file
2025-11-03T16:35:13.6268996Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-11-03T16:35:13.6270119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file
2025-11-03T16:35:13.6271254Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-11-03T16:35:13.6272376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file
2025-11-03T16:35:13.6273548Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-11-03T16:35:13.6274669Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file
2025-11-03T16:35:13.6275998Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2025-11-03T16:35:13.6277037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file
2025-11-03T16:35:13.6277997Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0
2025-11-03T16:35:13.6278846Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file
2025-11-03T16:35:13.6279645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0
2025-11-03T16:35:13.6280541Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file
2025-11-03T16:35:13.6281566Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2025-11-03T16:35:13.6282573Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file
2025-11-03T16:35:13.6283700Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0
2025-11-03T16:35:13.6284646Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 268 <- wrt source file
2025-11-03T16:35:13.6285579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-11-03T16:35:13.6286474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 363 <- wrt source file
2025-11-03T16:35:13.6291894Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-11-03T16:35:13.6292932Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 594 <- wrt source file
2025-11-03T16:35:13.6294108Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-11-03T16:35:13.6295164Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file
2025-11-03T16:35:13.6296194Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0
2025-11-03T16:35:13.6297226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file
2025-11-03T16:35:13.6298324Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-11-03T16:35:13.6299369Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file
2025-11-03T16:35:13.6300410Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-11-03T16:35:13.6301429Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file
2025-11-03T16:35:13.6302486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-11-03T16:35:13.6303423Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file
2025-11-03T16:35:13.6310487Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0
2025-11-03T16:35:13.6311343Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1070 <- wrt source file
2025-11-03T16:35:13.6327282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2025-11-03T16:35:13.6328355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1173 <- wrt source file
2025-11-03T16:35:13.6336672Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2025-11-03T16:35:13.6337667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1201 <- wrt source file
2025-11-03T16:35:13.6343333Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0
2025-11-03T16:35:13.6344298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1229 <- wrt source file
2025-11-03T16:35:13.6352067Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-11-03T16:35:13.6353091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file
2025-11-03T16:35:13.6368892Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-11-03T16:35:13.6369935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file
2025-11-03T16:35:13.6374984Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-11-03T16:35:13.6375822Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file
2025-11-03T16:35:13.6388623Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-11-03T16:35:13.6389975Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file
2025-11-03T16:35:13.6396577Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-11-03T16:35:13.6397673Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file
2025-11-03T16:35:13.6415152Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-11-03T16:35:13.6416316Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file
2025-11-03T16:35:13.6422495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-11-03T16:35:13.6423712Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file
2025-11-03T16:35:13.6429346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-11-03T16:35:13.6430542Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file
2025-11-03T16:35:13.6433832Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-11-03T16:35:13.6434991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file
2025-11-03T16:35:13.6441339Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-11-03T16:35:13.6442504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file
2025-11-03T16:35:13.6447547Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-11-03T16:35:13.6448780Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 316 <- wrt source file
2025-11-03T16:35:13.6450068Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-11-03T16:35:13.6451454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 179 <- wrt source file
2025-11-03T16:35:13.6453731Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0
2025-11-03T16:35:13.6455025Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 366 <- wrt source file
2025-11-03T16:35:13.6456125Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-11-03T16:35:13.6457236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 492 <- wrt source file
2025-11-03T16:35:13.6458581Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-11-03T16:35:13.6459663Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 617 <- wrt source file
2025-11-03T16:35:13.6460735Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-11-03T16:35:13.6461799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 704 <- wrt source file
2025-11-03T16:35:13.6462913Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-11-03T16:35:13.6463996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 800 <- wrt source file
2025-11-03T16:35:13.6465104Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-11-03T16:35:13.6466155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 907 <- wrt source file
2025-11-03T16:35:13.6467231Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-11-03T16:35:13.6468505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1029 <- wrt source file
2025-11-03T16:35:13.6469654Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-11-03T16:35:13.6470757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1106 <- wrt source file
2025-11-03T16:35:13.6472032Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-11-03T16:35:13.6473150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1258 <- wrt source file
2025-11-03T16:35:13.6474292Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-11-03T16:35:13.6475422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1387 <- wrt source file
2025-11-03T16:35:13.6476604Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-11-03T16:35:13.6477748Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1499 <- wrt source file
2025-11-03T16:35:13.6478928Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-11-03T16:35:13.6480017Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1872 <- wrt source file
2025-11-03T16:35:13.6481107Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-11-03T16:35:13.6482278Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2138 <- wrt source file
2025-11-03T16:35:13.6483561Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-11-03T16:35:13.6484959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2220 <- wrt source file
2025-11-03T16:35:13.6486448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-11-03T16:35:13.6487746Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2236 <- wrt source file
2025-11-03T16:35:13.6489076Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-11-03T16:35:13.6490258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2376 <- wrt source file
2025-11-03T16:35:13.6491358Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-11-03T16:35:13.6492499Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file
2025-11-03T16:35:13.6493725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-11-03T16:35:13.6494847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 153 <- wrt source file
2025-11-03T16:35:13.6495940Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2025-11-03T16:35:13.6497007Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 179 <- wrt source file
2025-11-03T16:35:13.6498096Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2025-11-03T16:35:13.6499226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0, line 349 <- wrt source file
2025-11-03T16:35:13.6500294Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-11-03T16:35:13.6501301Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 408 <- wrt source file
2025-11-03T16:35:13.6502320Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0
2025-11-03T16:35:13.6503231Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-11-03T16:35:13.6504091Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-11-03T16:35:13.6505026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 300 <- wrt source file
2025-11-03T16:35:13.6506071Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-11-03T16:35:13.6507000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 625 <- wrt source file
2025-11-03T16:35:13.6507815Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0
2025-11-03T16:35:13.6508677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 342 <- wrt source file
2025-11-03T16:35:13.6509635Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-11-03T16:35:13.6510529Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file
2025-11-03T16:35:13.6531670Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0
2025-11-03T16:35:13.6532724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-11-03T16:35:13.6533761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0
2025-11-03T16:35:13.6534837Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 651 <- wrt source file
2025-11-03T16:35:13.6535988Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-11-03T16:35:13.6537120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 772 <- wrt source file
2025-11-03T16:35:13.6538284Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-11-03T16:35:13.6539404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 861 <- wrt source file
2025-11-03T16:35:13.6540525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-11-03T16:35:13.6541701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4810 <- wrt source file
2025-11-03T16:35:13.6542970Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-11-03T16:35:13.6544064Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4824 <- wrt source file
2025-11-03T16:35:13.6545094Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-11-03T16:35:13.6546076Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4854 <- wrt source file
2025-11-03T16:35:13.6547075Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-11-03T16:35:13.6548001Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file
2025-11-03T16:35:13.6548934Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-11-03T16:35:13.6549880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file
2025-11-03T16:35:13.6550866Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-11-03T16:35:13.6551909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 337 <- wrt source file
2025-11-03T16:35:13.6553045Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2025-11-03T16:35:13.6554154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file
2025-11-03T16:35:13.6562413Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-11-03T16:35:13.6563718Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 158 <- wrt source file
2025-11-03T16:35:13.6564830Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0
2025-11-03T16:35:13.6565857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 303 <- wrt source file
2025-11-03T16:35:13.6571294Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-11-03T16:35:13.6572342Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 346 <- wrt source file
2025-11-03T16:35:13.6579108Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-11-03T16:35:13.6580141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 383 <- wrt source file
2025-11-03T16:35:13.6583590Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-11-03T16:35:13.6584441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 408 <- wrt source file
2025-11-03T16:35:13.6590154Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-11-03T16:35:13.6591133Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 443 <- wrt source file
2025-11-03T16:35:13.6595365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-11-03T16:35:13.6596386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 478 <- wrt source file
2025-11-03T16:35:13.6600594Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-11-03T16:35:13.6601630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 515 <- wrt source file
2025-11-03T16:35:13.6607025Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-11-03T16:35:13.6608059Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 908 <- wrt source file
2025-11-03T16:35:13.6616017Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-11-03T16:35:13.6617083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 302 <- wrt source file
2025-11-03T16:35:13.6626708Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-11-03T16:35:13.6627737Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 422 <- wrt source file
2025-11-03T16:35:13.6635847Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0
2025-11-03T16:35:13.6636878Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1052 <- wrt source file
2025-11-03T16:35:13.6642584Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-11-03T16:35:13.6649670Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1447 <- wrt source file
2025-11-03T16:35:13.6650669Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0
2025-11-03T16:35:13.6651779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 72 <- wrt source file
2025-11-03T16:35:13.6653027Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-11-03T16:35:13.6654307Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 383 <- wrt source file
2025-11-03T16:35:13.6655669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-11-03T16:35:13.6656894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 418 <- wrt source file
2025-11-03T16:35:13.6658072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-11-03T16:35:13.6659205Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 556 <- wrt source file
2025-11-03T16:35:13.6660443Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-11-03T16:35:13.6661567Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 758 <- wrt source file
2025-11-03T16:35:13.6662707Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-11-03T16:35:13.6663626Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1241 <- wrt source file
2025-11-03T16:35:13.6664576Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0
2025-11-03T16:35:13.6665544Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1397 <- wrt source file
2025-11-03T16:35:13.6667982Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0
2025-11-03T16:35:13.6668934Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1197 <- wrt source file
2025-11-03T16:35:13.6669812Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2025-11-03T16:35:13.6670663Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1269 <- wrt source file
2025-11-03T16:35:13.6671526Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2025-11-03T16:35:13.6672359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1347 <- wrt source file
2025-11-03T16:35:13.6673215Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2025-11-03T16:35:13.6674246Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1459 <- wrt source file
2025-11-03T16:35:13.6675118Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0
2025-11-03T16:35:13.6675919Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0, line 1708 <- wrt source file
2025-11-03T16:35:13.6676720Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0
2025-11-03T16:35:13.6677521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0, line 1984 <- wrt source file
2025-11-03T16:35:13.6678353Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0
2025-11-03T16:35:13.6679155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-11-03T16:35:13.6691461Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-11-03T16:35:13.6692587Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file
2025-11-03T16:35:13.6693799Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2025-11-03T16:35:13.6695010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 746 <- wrt source file
2025-11-03T16:35:13.7112760Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-11-03T16:35:13.7113936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-11-03T16:35:13.7119947Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-11-03T16:35:13.7121012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file
2025-11-03T16:35:13.7122070Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-11-03T16:35:13.7123094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file
2025-11-03T16:35:13.7124265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0
2025-11-03T16:35:13.7125371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file
2025-11-03T16:35:13.7126522Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2025-11-03T16:35:13.7127572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file
2025-11-03T16:35:13.7128580Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-11-03T16:35:13.7129639Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file
2025-11-03T16:35:13.7130981Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-11-03T16:35:13.7132051Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file
2025-11-03T16:35:13.7136063Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-11-03T16:35:13.7136927Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 40 <- wrt source file
2025-11-03T16:35:13.7139437Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-11-03T16:35:13.7140304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 138 <- wrt source file
2025-11-03T16:35:13.7144738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-11-03T16:35:13.7145857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 368 <- wrt source file
2025-11-03T16:35:13.7150442Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-11-03T16:35:13.7151606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file
2025-11-03T16:35:13.7153896Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-11-03T16:35:13.7155072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file
2025-11-03T16:35:13.7156378Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-11-03T16:35:13.7157610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file
2025-11-03T16:35:13.7158909Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-11-03T16:35:13.7160180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file
2025-11-03T16:35:13.7161485Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-11-03T16:35:13.7162808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file
2025-11-03T16:35:13.7165685Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-11-03T16:35:13.7166767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file
2025-11-03T16:35:13.7193962Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-11-03T16:35:13.7195266Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 89 <- wrt source file
2025-11-03T16:35:13.7196588Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-11-03T16:35:13.7198025Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 308 <- wrt source file
2025-11-03T16:35:13.7199280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-11-03T16:35:13.7200563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 397 <- wrt source file
2025-11-03T16:35:13.7201934Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-11-03T16:35:13.7203190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file
2025-11-03T16:35:13.7204375Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-11-03T16:35:13.7205407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file
2025-11-03T16:35:13.7206454Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-11-03T16:35:13.7207500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file
2025-11-03T16:35:13.7208579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-11-03T16:35:13.7209758Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 34 <- wrt source file
2025-11-03T16:35:13.7210840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-11-03T16:35:13.7211864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file
2025-11-03T16:35:13.7212903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-11-03T16:35:13.7213915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 102 <- wrt source file
2025-11-03T16:35:13.7214971Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-11-03T16:35:13.7215996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 169 <- wrt source file
2025-11-03T16:35:13.7217020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-11-03T16:35:13.7218036Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file
2025-11-03T16:35:13.7219064Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-11-03T16:35:13.7220112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file
2025-11-03T16:35:13.7221304Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-11-03T16:35:13.7222369Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file
2025-11-03T16:35:13.7223432Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-11-03T16:35:13.7224446Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file
2025-11-03T16:35:13.7225459Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-11-03T16:35:13.7226508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file
2025-11-03T16:35:13.7227580Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-11-03T16:35:13.7228610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file
2025-11-03T16:35:13.7229681Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-11-03T16:35:13.7230688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 76 <- wrt source file
2025-11-03T16:35:13.7231793Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-11-03T16:35:13.7232811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file
2025-11-03T16:35:13.7233828Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-11-03T16:35:13.7234842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file
2025-11-03T16:35:13.7235906Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-11-03T16:35:13.7236913Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file
2025-11-03T16:35:13.7237923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-11-03T16:35:13.7238895Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file
2025-11-03T16:35:13.7239884Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-11-03T16:35:13.7240827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 440 <- wrt source file
2025-11-03T16:35:14.2579806Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-11-03T16:35:14.2581518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 536 <- wrt source file
2025-11-03T16:35:14.2583346Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-11-03T16:35:14.2584551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file
2025-11-03T16:35:14.2585761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-11-03T16:35:14.2587010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file
2025-11-03T16:35:14.2588249Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-11-03T16:35:14.2589579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file
2025-11-03T16:35:14.2590764Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-11-03T16:35:14.2592045Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file
2025-11-03T16:35:14.2593312Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-11-03T16:35:14.2594581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file
2025-11-03T16:35:14.2596006Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-11-03T16:35:14.2597319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file
2025-11-03T16:35:14.2598348Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-11-03T16:35:14.2599369Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file
2025-11-03T16:35:14.2600546Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-11-03T16:35:14.2601681Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file
2025-11-03T16:35:14.2602694Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-11-03T16:35:14.2603860Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file
2025-11-03T16:35:14.2605262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-11-03T16:35:14.2606727Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file
2025-11-03T16:35:14.2608107Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-11-03T16:35:14.2609545Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file
2025-11-03T16:35:14.2611397Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-11-03T16:35:14.2612853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file
2025-11-03T16:35:14.2614689Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-11-03T16:35:14.2616448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file
2025-11-03T16:35:14.2618054Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-11-03T16:35:14.2620037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file
2025-11-03T16:35:14.2621622Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-11-03T16:35:14.2622715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file
2025-11-03T16:35:14.2624180Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-11-03T16:35:14.2625570Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file
2025-11-03T16:35:14.2627236Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-11-03T16:35:14.2628003Z ============
2025-11-03T16:35:14.2628204Z Finished doctests
2025-11-03T16:35:14.2628375Z 379 / 886 passed
2025-11-03T16:35:14.2628542Z 
2025-11-03T16:35:14.2628758Z === Found 17 parse-time warnings ===
2025-11-03T16:35:14.2629088Z --- Parse Warning: 1 / 17 ---
2025-11-03T16:35:14.2629905Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=367.
2025-11-03T16:35:14.2630807Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2631340Z     Registers the function implementation as the fallback for the given key.
2025-11-03T16:35:14.2631730Z     
2025-11-03T16:35:14.2631976Z             This function only works for a library with global namespace ("_").
2025-11-03T16:35:14.2632268Z     
2025-11-03T16:35:14.2632400Z             Args:
2025-11-03T16:35:14.2632706Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-11-03T16:35:14.2633073Z                     to register a fallthrough.
2025-11-03T16:35:14.2633465Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-11-03T16:35:14.2633882Z                               the dispatch key that the library was created with.
2025-11-03T16:35:14.2634345Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-11-03T16:35:14.2634903Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-11-03T16:35:14.2635400Z     
2025-11-03T16:35:14.2635555Z             Example::
2025-11-03T16:35:14.2635712Z     
2025-11-03T16:35:14.2635873Z                 >>> my_lib = Library("_", "IMPL")
2025-11-03T16:35:14.2636125Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-11-03T16:35:14.2636384Z                 >>>     # Handle all autocast ops generically
2025-11-03T16:35:14.2636605Z                 >>>     # ...
2025-11-03T16:35:14.2636824Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-11-03T16:35:14.2637061Z             
2025-11-03T16:35:14.2637581Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-11-03T16:35:14.2638133Z     
2025-11-03T16:35:14.2638309Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-11-03T16:35:14.2638537Z     ^
2025-11-03T16:35:14.2638690Z       warnings.warn(msg)
2025-11-03T16:35:14.2638862Z     
2025-11-03T16:35:14.2639097Z --- Parse Warning: 2 / 17 ---
2025-11-03T16:35:14.2639835Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=941.
2025-11-03T16:35:14.2640656Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2641074Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-11-03T16:35:14.2641363Z     
2025-11-03T16:35:14.2641571Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-11-03T16:35:14.2641836Z     
2025-11-03T16:35:14.2642083Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-11-03T16:35:14.2642481Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-11-03T16:35:14.2642883Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-11-03T16:35:14.2643317Z         what the properties of the output Tensors are.
2025-11-03T16:35:14.2643553Z     
2025-11-03T16:35:14.2643908Z         The FakeTensor implementation has the same signature as the operator.
2025-11-03T16:35:14.2644288Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-11-03T16:35:14.2644658Z         implementation, assume that all Tensor inputs to the operator are
2025-11-03T16:35:14.2645036Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-11-03T16:35:14.2645396Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-11-03T16:35:14.2645769Z         The FakeTensor implementation must consist of only PyTorch operations
2025-11-03T16:35:14.2646139Z         (and may not directly access the storage or data of any input or
2025-11-03T16:35:14.2646426Z         intermediate Tensors).
2025-11-03T16:35:14.2646614Z     
2025-11-03T16:35:14.2646795Z         This API may be used as a decorator (see examples).
2025-11-03T16:35:14.2647044Z     
2025-11-03T16:35:14.2647226Z         For a detailed guide on custom ops, please see
2025-11-03T16:35:14.2647574Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-11-03T16:35:14.2647864Z     
2025-11-03T16:35:14.2648003Z         Args:
2025-11-03T16:35:14.2648250Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-11-03T16:35:14.2648577Z             func: Fake tensor implementation.
2025-11-03T16:35:14.2648870Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-11-03T16:35:14.2649215Z             allow_override: Flag controlling if we want to override an
2025-11-03T16:35:14.2649541Z                             existing registered fake impl. This is by default off,
2025-11-03T16:35:14.2649859Z                             and will error you're trying to register a fake impl to
2025-11-03T16:35:14.2650197Z                             an operator that already has a fake impl. This also only
2025-11-03T16:35:14.2650616Z                             applies if the custom operator was not created via
2025-11-03T16:35:14.2650938Z                             torch.library.custom_op, as overriding and existing fake
2025-11-03T16:35:14.2651233Z                             impl is already allowed.
2025-11-03T16:35:14.2651439Z     
2025-11-03T16:35:14.2651579Z         Examples:
2025-11-03T16:35:14.2651745Z             >>> import torch
2025-11-03T16:35:14.2651937Z             >>> import numpy as np
2025-11-03T16:35:14.2652144Z             >>> from torch import Tensor
2025-11-03T16:35:14.2652350Z             >>>
2025-11-03T16:35:14.2652579Z             >>> # Example 1: an operator without data-dependent output shape
2025-11-03T16:35:14.2652939Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-11-03T16:35:14.2653319Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-11-03T16:35:14.2653688Z             >>>     raise NotImplementedError("Implementation goes here")
2025-11-03T16:35:14.2653964Z             >>>
2025-11-03T16:35:14.2654180Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-11-03T16:35:14.2654442Z             >>> def _(x, weight, bias):
2025-11-03T16:35:14.2654659Z             >>>     assert x.dim() == 2
2025-11-03T16:35:14.2654879Z             >>>     assert weight.dim() == 2
2025-11-03T16:35:14.2655101Z             >>>     assert bias.dim() == 1
2025-11-03T16:35:14.2655334Z             >>>     assert x.shape[1] == weight.shape[1]
2025-11-03T16:35:14.2655592Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-11-03T16:35:14.2655849Z             >>>     assert x.device == weight.device
2025-11-03T16:35:14.2656071Z             >>>
2025-11-03T16:35:14.2656239Z             >>>     return (x @ weight.t()) + bias
2025-11-03T16:35:14.2656455Z             >>>
2025-11-03T16:35:14.2656680Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-11-03T16:35:14.2668662Z             >>>     x = torch.randn(2, 3)
2025-11-03T16:35:14.2669185Z             >>>     w = torch.randn(3, 3)
2025-11-03T16:35:14.2669445Z             >>>     b = torch.randn(3)
2025-11-03T16:35:14.2669705Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-11-03T16:35:14.2669955Z             >>>
2025-11-03T16:35:14.2670134Z             >>> assert y.shape == (2, 3)
2025-11-03T16:35:14.2670349Z             >>>
2025-11-03T16:35:14.2670584Z             >>> # Example 2: an operator with data-dependent output shape
2025-11-03T16:35:14.2670968Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-11-03T16:35:14.2671309Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-11-03T16:35:14.2671597Z             >>>     x_np = x.numpy(force=True)
2025-11-03T16:35:14.2671855Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-11-03T16:35:14.2672124Z             >>>     return torch.tensor(res, device=x.device)
2025-11-03T16:35:14.2672359Z             >>>
2025-11-03T16:35:14.2672605Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-11-03T16:35:14.2672883Z             >>> def _(x):
2025-11-03T16:35:14.2673104Z             >>> # Number of nonzero-elements is data-dependent.
2025-11-03T16:35:14.2673397Z             >>> # Since we cannot peek at the data in an fake impl,
2025-11-03T16:35:14.2673706Z             >>> # we use the ctx object to construct a new symint that
2025-11-03T16:35:14.2673989Z             >>> # represents the data-dependent size.
2025-11-03T16:35:14.2674241Z             >>>     ctx = torch.library.get_ctx()
2025-11-03T16:35:14.2674485Z             >>>     nnz = ctx.new_dynamic_size()
2025-11-03T16:35:14.2674721Z             >>>     shape = [nnz, x.dim()]
2025-11-03T16:35:14.2674983Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-11-03T16:35:14.2675232Z             >>>     return result
2025-11-03T16:35:14.2675426Z             >>>
2025-11-03T16:35:14.2675789Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-11-03T16:35:14.2676297Z             >>>
2025-11-03T16:35:14.2676488Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-11-03T16:35:14.2676819Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-11-03T16:35:14.2677150Z             >>> trace.print_readable()
2025-11-03T16:35:14.2677363Z             >>>
2025-11-03T16:35:14.2677617Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-11-03T16:35:14.2677909Z     
2025-11-03T16:35:14.2678047Z         
2025-11-03T16:35:14.2678491Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-11-03T16:35:14.2678979Z     
2025-11-03T16:35:14.2679106Z     _._ = None
2025-11-03T16:35:14.2679253Z     ^
2025-11-03T16:35:14.2679405Z       warnings.warn(msg)
2025-11-03T16:35:14.2679583Z     
2025-11-03T16:35:14.2679851Z --- Parse Warning: 3 / 17 ---
2025-11-03T16:35:14.2680587Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1475.
2025-11-03T16:35:14.2681384Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2681801Z     Returns the computed kernel for a given operator and dispatch key.
2025-11-03T16:35:14.2682074Z     
2025-11-03T16:35:14.2682304Z         This function retrieves the kernel that would be executed for a given
2025-11-03T16:35:14.2682694Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-11-03T16:35:14.2683062Z         can be used to call the kernel in a boxed fashion. The intended use
2025-11-03T16:35:14.2683417Z         case for this function is to retrieve the original kernel for a given
2025-11-03T16:35:14.2683909Z         dispatch key and then register another kernel to the same dispatch key
2025-11-03T16:35:14.2684345Z         that calls into the original kernel for certain cases.
2025-11-03T16:35:14.2684595Z     
2025-11-03T16:35:14.2684735Z         Args:
2025-11-03T16:35:14.2684961Z             op: Operator name (along with the overload) or OpOverload object
2025-11-03T16:35:14.2685342Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-11-03T16:35:14.2685756Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-11-03T16:35:14.2686150Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-11-03T16:35:14.2686416Z     
2025-11-03T16:35:14.2686549Z         Returns:
2025-11-03T16:35:14.2686811Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-11-03T16:35:14.2687122Z                 call the kernel.
2025-11-03T16:35:14.2687312Z     
2025-11-03T16:35:14.2687440Z         Raises:
2025-11-03T16:35:14.2687640Z             RuntimeError: If the operator does not exist.
2025-11-03T16:35:14.2687886Z     
2025-11-03T16:35:14.2688018Z         Example:
2025-11-03T16:35:14.2688201Z             >>> # Get the CPU kernel for torch.add
2025-11-03T16:35:14.2688500Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-11-03T16:35:14.2688771Z             >>>
2025-11-03T16:35:14.2688949Z             >>> # You can also use DispatchKey enum
2025-11-03T16:35:14.2689287Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-11-03T16:35:14.2689603Z             >>>
2025-11-03T16:35:14.2689791Z             >>> # Or use an OpOverload directly
2025-11-03T16:35:14.2690112Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-11-03T16:35:14.2690405Z             >>>
2025-11-03T16:35:14.2690647Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-11-03T16:35:14.2690968Z             >>> # Get the original kernel for torch.sin
2025-11-03T16:35:14.2691376Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-11-03T16:35:14.2691655Z             >>>
2025-11-03T16:35:14.2691905Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-11-03T16:35:14.2692240Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-11-03T16:35:14.2692487Z             >>>     if (x < 0).any():
2025-11-03T16:35:14.2692754Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-11-03T16:35:14.2693017Z             >>>     else:
2025-11-03T16:35:14.2693213Z             >>>         return torch.zeros_like(x)
2025-11-03T16:35:14.2693431Z             >>>
2025-11-03T16:35:14.2693619Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-11-03T16:35:14.2693966Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-11-03T16:35:14.2694360Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-11-03T16:35:14.2694713Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-11-03T16:35:14.2694981Z             >>>
2025-11-03T16:35:14.2695144Z             >>> # Test the conditional behavior
2025-11-03T16:35:14.2695386Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-11-03T16:35:14.2695628Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-11-03T16:35:14.2695860Z             >>> torch.sin(x_positive)
2025-11-03T16:35:14.2696068Z             tensor([0., 0.])
2025-11-03T16:35:14.2696264Z             >>> torch.sin(x_mixed)
2025-11-03T16:35:14.2696470Z             tensor([-0.8415, 0.9093])
2025-11-03T16:35:14.2696677Z         
2025-11-03T16:35:14.2697096Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-11-03T16:35:14.2697553Z     
2025-11-03T16:35:14.2697762Z     which needs to be the first argument to ``kernel.call_boxed``
2025-11-03T16:35:14.2698112Z           ^
2025-11-03T16:35:14.2698273Z       warnings.warn(msg)
2025-11-03T16:35:14.2698442Z     
2025-11-03T16:35:14.2698660Z --- Parse Warning: 4 / 17 ---
2025-11-03T16:35:14.2699424Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=66.
2025-11-03T16:35:14.2700267Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2700683Z     Check if the current accelerator is available at runtime: it was build, all the
2025-11-03T16:35:14.2701084Z         required drivers are available and at least one device is visible.
2025-11-03T16:35:14.2701416Z         See :ref:`accelerator<accelerators>` for details.
2025-11-03T16:35:14.2701650Z     
2025-11-03T16:35:14.2701788Z         Returns:
2025-11-03T16:35:14.2702078Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-11-03T16:35:14.2702412Z     
2025-11-03T16:35:14.2702663Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-11-03T16:35:14.2703103Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-11-03T16:35:14.2703530Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-11-03T16:35:14.2703890Z             :ref:`multiprocessing-poison-fork-note`.
2025-11-03T16:35:14.2704123Z     
2025-11-03T16:35:14.2704271Z         Example::
2025-11-03T16:35:14.2704425Z     
2025-11-03T16:35:14.2704692Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-11-03T16:35:14.2705013Z         
2025-11-03T16:35:14.2705477Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-11-03T16:35:14.2706061Z     
2025-11-03T16:35:14.2706335Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-11-03T16:35:14.2706663Z                                             ^
2025-11-03T16:35:14.2706875Z       warnings.warn(msg)
2025-11-03T16:35:14.2707046Z     
2025-11-03T16:35:14.2707246Z --- Parse Warning: 5 / 17 ---
2025-11-03T16:35:14.2708006Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=212.
2025-11-03T16:35:14.2708843Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2709231Z     Wait for all kernels in all streams on the given device to complete.
2025-11-03T16:35:14.2709499Z     
2025-11-03T16:35:14.2709631Z         Args:
2025-11-03T16:35:14.2709934Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-11-03T16:35:14.2710396Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-11-03T16:35:14.2710771Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-11-03T16:35:14.2711032Z     
2025-11-03T16:35:14.2711315Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-11-03T16:35:14.2711654Z     
2025-11-03T16:35:14.2711793Z         Example::
2025-11-03T16:35:14.2711945Z     
2025-11-03T16:35:14.2712135Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-11-03T16:35:14.2712489Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-11-03T16:35:14.2712850Z             >>> start_event = torch.Event(enable_timing=True)
2025-11-03T16:35:14.2713113Z             >>> end_event = torch.Event(enable_timing=True)
2025-11-03T16:35:14.2713358Z             >>> start_event.record()
2025-11-03T16:35:14.2713752Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-11-03T16:35:14.2714080Z             >>> sum = torch.sum(tensor)
2025-11-03T16:35:14.2714289Z             >>> end_event.record()
2025-11-03T16:35:14.2714515Z             >>> torch.accelerator.synchronize()
2025-11-03T16:35:14.2714799Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-11-03T16:35:14.2715055Z         
2025-11-03T16:35:14.2715524Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-11-03T16:35:14.2716029Z     
2025-11-03T16:35:14.2716292Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-11-03T16:35:14.2716622Z                                             ^
2025-11-03T16:35:14.2716837Z       warnings.warn(msg)
2025-11-03T16:35:14.2717008Z     
2025-11-03T16:35:14.2717217Z --- Parse Warning: 6 / 17 ---
2025-11-03T16:35:14.2717950Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448.
2025-11-03T16:35:14.2718769Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2719104Z     Retrieves the CUDA runtime API module.
2025-11-03T16:35:14.2719318Z     
2025-11-03T16:35:14.2719455Z     
2025-11-03T16:35:14.2719706Z         This function initializes the CUDA runtime environment if it is not already
2025-11-03T16:35:14.2720117Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-11-03T16:35:14.2720504Z         runtime API module provides access to various CUDA runtime functions.
2025-11-03T16:35:14.2720796Z     
2025-11-03T16:35:14.2720932Z         Args:
2025-11-03T16:35:14.2721085Z             ``None``
2025-11-03T16:35:14.2721244Z     
2025-11-03T16:35:14.2721389Z         Returns:
2025-11-03T16:35:14.2721706Z             module: The CUDA runtime API module (_cudart).
2025-11-03T16:35:14.2721937Z     
2025-11-03T16:35:14.2722066Z         Raises:
2025-11-03T16:35:14.2722322Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-11-03T16:35:14.2722802Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-11-03T16:35:14.2723189Z     
2025-11-03T16:35:14.2723359Z         Example of CUDA operations with profiling:
2025-11-03T16:35:14.2723690Z             >>> import torch
2025-11-03T16:35:14.2723930Z             >>> from torch.cuda import cudart, check_error
2025-11-03T16:35:14.2724165Z             >>> import os
2025-11-03T16:35:14.2724330Z             >>>
2025-11-03T16:35:14.2724504Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-11-03T16:35:14.2724718Z             >>>
2025-11-03T16:35:14.2724905Z             >>> def perform_cuda_operations_with_streams():
2025-11-03T16:35:14.2725165Z             >>>     stream = torch.cuda.Stream()
2025-11-03T16:35:14.2725404Z             >>>     with torch.cuda.stream(stream):
2025-11-03T16:35:14.2725668Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-11-03T16:35:14.2725925Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-11-03T16:35:14.2726159Z             >>>         z = torch.mul(x, y)
2025-11-03T16:35:14.2726374Z             >>>     return z
2025-11-03T16:35:14.2726548Z             >>>
2025-11-03T16:35:14.2726720Z             >>> torch.cuda.synchronize()
2025-11-03T16:35:14.2726957Z             >>> print("====== Start nsys profiling ======")
2025-11-03T16:35:14.2727220Z             >>> check_error(cudart().cudaProfilerStart())
2025-11-03T16:35:14.2727485Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-11-03T16:35:14.2727774Z             >>>     result = perform_cuda_operations_with_streams()
2025-11-03T16:35:14.2728050Z             >>>     print("CUDA operations completed.")
2025-11-03T16:35:14.2728405Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-11-03T16:35:14.2728689Z             >>> print("====== End nsys profiling ======")
2025-11-03T16:35:14.2728911Z     
2025-11-03T16:35:14.2729126Z         To run this example and save the profiling information, execute:
2025-11-03T16:35:14.2729591Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-11-03T16:35:14.2729970Z     
2025-11-03T16:35:14.2730220Z         This command profiles the CUDA operations in the provided script and saves
2025-11-03T16:35:14.2730610Z         the profiling information to a file named `trace_name.prof`.
2025-11-03T16:35:14.2730984Z         The `--profile-from-start off` option ensures that profiling starts only
2025-11-03T16:35:14.2731341Z         after the `cudaProfilerStart` call in the script.
2025-11-03T16:35:14.2731683Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-11-03T16:35:14.2732026Z         CSV file and print a summary, respectively.
2025-11-03T16:35:14.2732385Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-11-03T16:35:14.2732747Z         overwrite of the output file if it already exists.
2025-11-03T16:35:14.2732992Z         
2025-11-03T16:35:14.2733530Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-11-03T16:35:14.2734114Z     
2025-11-03T16:35:14.2734435Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-11-03T16:35:14.2734810Z     ^
2025-11-03T16:35:14.2734962Z       warnings.warn(msg)
2025-11-03T16:35:14.2735138Z     
2025-11-03T16:35:14.2735356Z --- Parse Warning: 7 / 17 ---
2025-11-03T16:35:14.2736085Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-11-03T16:35:14.2736967Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2737269Z     
2025-11-03T16:35:14.2737498Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-11-03T16:35:14.2737858Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-11-03T16:35:14.2738219Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-11-03T16:35:14.2738527Z     vectorizing those operations.
2025-11-03T16:35:14.2738728Z     
2025-11-03T16:35:14.2738945Z     vmap is useful for handling batch dimensions: one can write a function
2025-11-03T16:35:14.2739301Z     ``func`` that runs on examples and then lift it to a function that can
2025-11-03T16:35:14.2739676Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-11-03T16:35:14.2740021Z     compute batched gradients when composed with autograd.
2025-11-03T16:35:14.2740278Z     
2025-11-03T16:35:14.2740414Z     .. note::
2025-11-03T16:35:14.2740637Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-11-03T16:35:14.2740936Z         convenience. Use whichever one you'd like.
2025-11-03T16:35:14.2741160Z     
2025-11-03T16:35:14.2741289Z     Args:
2025-11-03T16:35:14.2741521Z         func (function): A Python function that takes one or more arguments.
2025-11-03T16:35:14.2741829Z             Must return one or more Tensors.
2025-11-03T16:35:14.2742125Z         in_dims (int or nested structure): Specifies which dimension of the
2025-11-03T16:35:14.2742463Z             inputs should be mapped over. ``in_dims`` should have a
2025-11-03T16:35:14.2742794Z             structure like the inputs. If the ``in_dim`` for a particular
2025-11-03T16:35:14.2743134Z             input is None, then that indicates there is no map dimension.
2025-11-03T16:35:14.2743407Z             Default: 0.
2025-11-03T16:35:14.2743729Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-11-03T16:35:14.2744075Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-11-03T16:35:14.2744396Z             it should have one element per output. Default: 0.
2025-11-03T16:35:14.2744709Z         randomness (str): Specifies whether the randomness in this
2025-11-03T16:35:14.2745050Z             vmap should be the same or different across batches. If 'different',
2025-11-03T16:35:14.2745416Z             the randomness for each batch will be different. If 'same', the
2025-11-03T16:35:14.2745789Z             randomness will be the same across batches. If 'error', any calls to
2025-11-03T16:35:14.2746159Z             random functions will error. Default: 'error'. WARNING: this flag
2025-11-03T16:35:14.2746527Z             only applies to random PyTorch operations and does not apply to
2025-11-03T16:35:14.2746850Z             Python's random module or numpy randomness.
2025-11-03T16:35:14.2747198Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-11-03T16:35:14.2747590Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-11-03T16:35:14.2748002Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-11-03T16:35:14.2748451Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-11-03T16:35:14.2748764Z     
2025-11-03T16:35:14.2748908Z     Returns:
2025-11-03T16:35:14.2749135Z         Returns a new "batched" function. It takes the same inputs as
2025-11-03T16:35:14.2749476Z         ``func``, except each input has an extra dimension at the index
2025-11-03T16:35:14.2749816Z         specified by ``in_dims``. It takes returns the same outputs as
2025-11-03T16:35:14.2750151Z         ``func``, except each output has an extra dimension at the index
2025-11-03T16:35:14.2750432Z         specified by ``out_dims``.
2025-11-03T16:35:14.2750707Z     
2025-11-03T16:35:14.2750842Z     .. warning:
2025-11-03T16:35:14.2751078Z         :func:`vmap` works best with functional-style code. Please do not
2025-11-03T16:35:14.2751424Z         perform any side-effects in ``func``, with the exception of
2025-11-03T16:35:14.2751791Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-11-03T16:35:14.2752179Z         Python data structures and assigning values to variables not captured
2025-11-03T16:35:14.2752471Z         in ``func``.
2025-11-03T16:35:14.2752632Z     
2025-11-03T16:35:14.2752883Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-11-03T16:35:14.2753267Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-11-03T16:35:14.2753646Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-11-03T16:35:14.2753930Z     
2025-11-03T16:35:14.2754082Z         >>> torch.dot  # [D], [D] -> []
2025-11-03T16:35:14.2754373Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-11-03T16:35:14.2754683Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-11-03T16:35:14.2754917Z         >>> batched_dot(x, y)
2025-11-03T16:35:14.2755112Z     
2025-11-03T16:35:14.2755349Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-11-03T16:35:14.2755651Z     model authoring experience.
2025-11-03T16:35:14.2755843Z     
2025-11-03T16:35:14.2756000Z         >>> batch_size, feature_size = 3, 5
2025-11-03T16:35:14.2756271Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-11-03T16:35:14.2756521Z         >>>
2025-11-03T16:35:14.2756679Z         >>> def model(feature_vec):
2025-11-03T16:35:14.2756906Z         >>> # Very simple linear model with activation
2025-11-03T16:35:14.2757161Z         >>>     return feature_vec.dot(weights).relu()
2025-11-03T16:35:14.2757375Z         >>>
2025-11-03T16:35:14.2757568Z         >>> examples = torch.randn(batch_size, feature_size)
2025-11-03T16:35:14.2757916Z         >>> result = torch.vmap(model)(examples)
2025-11-03T16:35:14.2758135Z     
2025-11-03T16:35:14.2758376Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-11-03T16:35:14.2758788Z     or impossible to batch. One example is higher-order gradient computation.
2025-11-03T16:35:14.2759185Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-11-03T16:35:14.2759592Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-11-03T16:35:14.2759992Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-11-03T16:35:14.2760399Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-11-03T16:35:14.2760712Z     call to ``autograd.grad``.
2025-11-03T16:35:14.2760896Z     
2025-11-03T16:35:14.2761035Z         >>> # Setup
2025-11-03T16:35:14.2761189Z         >>> N = 5
2025-11-03T16:35:14.2761352Z         >>> f = lambda x: x**2
2025-11-03T16:35:14.2761573Z         >>> x = torch.randn(N, requires_grad=True)
2025-11-03T16:35:14.2761797Z         >>> y = f(x)
2025-11-03T16:35:14.2761966Z         >>> I_N = torch.eye(N)
2025-11-03T16:35:14.2762150Z         >>>
2025-11-03T16:35:14.2762312Z         >>> # Sequential approach
2025-11-03T16:35:14.2762592Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-11-03T16:35:14.2762913Z         >>>                  for v in I_N.unbind()]
2025-11-03T16:35:14.2763156Z         >>> jacobian = torch.stack(jacobian_rows)
2025-11-03T16:35:14.2763374Z         >>>
2025-11-03T16:35:14.2763544Z         >>> # vectorized gradient computation
2025-11-03T16:35:14.2763854Z         >>> def get_vjp(v):
2025-11-03T16:35:14.2764062Z         >>>     return torch.autograd.grad(y, x, v)
2025-11-03T16:35:14.2764311Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-11-03T16:35:14.2764524Z     
2025-11-03T16:35:14.2764782Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-11-03T16:35:14.2765185Z     
2025-11-03T16:35:14.2765342Z         >>> torch.dot  # [D], [D] -> []
2025-11-03T16:35:14.2765564Z         >>> batched_dot = torch.vmap(
2025-11-03T16:35:14.2765775Z         ...     torch.vmap(torch.dot)
2025-11-03T16:35:14.2766001Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-11-03T16:35:14.2766262Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-11-03T16:35:14.2766529Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-11-03T16:35:14.2766750Z     
2025-11-03T16:35:14.2766995Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-11-03T16:35:14.2767357Z     the dimension that each inputs are batched along as
2025-11-03T16:35:14.2767599Z     
2025-11-03T16:35:14.2768017Z         >>> torch.dot  # [N], [N] -> []
2025-11-03T16:35:14.2768353Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-11-03T16:35:14.2768677Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-11-03T16:35:14.2768919Z         >>> batched_dot(
2025-11-03T16:35:14.2769095Z         ...     x, y
2025-11-03T16:35:14.2769335Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-11-03T16:35:14.2769601Z     
2025-11-03T16:35:14.2769861Z     If there are multiple inputs each of which is batched along different dimensions,
2025-11-03T16:35:14.2770263Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-11-03T16:35:14.2770541Z     
2025-11-03T16:35:14.2770690Z         >>> torch.dot  # [D], [D] -> []
2025-11-03T16:35:14.2770996Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-11-03T16:35:14.2771321Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-11-03T16:35:14.2771545Z         >>> batched_dot(
2025-11-03T16:35:14.2771709Z         ...     x, y
2025-11-03T16:35:14.2771939Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-11-03T16:35:14.2772211Z     
2025-11-03T16:35:14.2772604Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-11-03T16:35:14.2772925Z     matching the shape of the input:
2025-11-03T16:35:14.2773127Z     
2025-11-03T16:35:14.2773314Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-11-03T16:35:14.2773579Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-11-03T16:35:14.2773804Z         >>> input = {"x": x, "y": y}
2025-11-03T16:35:14.2774067Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-11-03T16:35:14.2774338Z         >>> batched_dot(input)
2025-11-03T16:35:14.2774522Z     
2025-11-03T16:35:14.2774782Z     By default, the output is batched along the first dimension. However, it can be batched
2025-11-03T16:35:14.2775139Z     along any dimension by using ``out_dims``
2025-11-03T16:35:14.2775354Z     
2025-11-03T16:35:14.2775500Z         >>> f = lambda x: x**2
2025-11-03T16:35:14.2775686Z         >>> x = torch.randn(2, 5)
2025-11-03T16:35:14.2775918Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-11-03T16:35:14.2776149Z         >>> batched_pow(x)  # [5, 2]
2025-11-03T16:35:14.2776340Z     
2025-11-03T16:35:14.2776611Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-11-03T16:35:14.2776958Z     accept kwargs
2025-11-03T16:35:14.2777118Z     
2025-11-03T16:35:14.2777265Z         >>> x = torch.randn([2, 5])
2025-11-03T16:35:14.2777466Z         >>> def fn(x, scale=4.):
2025-11-03T16:35:14.2777662Z         >>>   return x * scale
2025-11-03T16:35:14.2777841Z         >>>
2025-11-03T16:35:14.2778005Z         >>> batched_pow = torch.vmap(fn)
2025-11-03T16:35:14.2778251Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-11-03T16:35:14.2778596Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-11-03T16:35:14.2778893Z     
2025-11-03T16:35:14.2779034Z     .. note::
2025-11-03T16:35:14.2779275Z         vmap does not provide general autobatching or handle variable-length
2025-11-03T16:35:14.2779704Z         sequences out of the box.
2025-11-03T16:35:14.2779898Z     
2025-11-03T16:35:14.2780336Z     Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-11-03T16:35:14.2780818Z     
2025-11-03T16:35:14.2780947Z     _._ = None
2025-11-03T16:35:14.2781100Z     ^
2025-11-03T16:35:14.2781254Z       warnings.warn(msg)
2025-11-03T16:35:14.2781427Z     
2025-11-03T16:35:14.2781652Z --- Parse Warning: 8 / 17 ---
2025-11-03T16:35:14.2782382Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-11-03T16:35:14.2783184Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2783597Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-11-03T16:35:14.2783981Z         input(s) specified by ``argnums``. This operator can be nested to
2025-11-03T16:35:14.2784276Z         compute higher-order gradients.
2025-11-03T16:35:14.2784484Z     
2025-11-03T16:35:14.2784622Z         Args:
2025-11-03T16:35:14.2784853Z             func (Callable): A Python function that takes one or more arguments.
2025-11-03T16:35:14.2785258Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-11-03T16:35:14.2785709Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-11-03T16:35:14.2786053Z                 ``(output, aux)``.
2025-11-03T16:35:14.2786381Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-11-03T16:35:14.2786789Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-11-03T16:35:14.2787165Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-11-03T16:35:14.2787595Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-11-03T16:35:14.2787844Z     
2025-11-03T16:35:14.2787976Z         Returns:
2025-11-03T16:35:14.2788267Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-11-03T16:35:14.2788699Z             the function is the gradient tensor(s) with respect to the first argument.
2025-11-03T16:35:14.2789123Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-11-03T16:35:14.2789556Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-11-03T16:35:14.2789902Z             respect to each ``argnums`` value is returned.
2025-11-03T16:35:14.2790135Z     
2025-11-03T16:35:14.2790288Z         Example of using ``grad``:
2025-11-03T16:35:14.2790484Z     
2025-11-03T16:35:14.2790629Z             >>> # xdoctest: +SKIP
2025-11-03T16:35:14.2790843Z             >>> from torch.func import grad
2025-11-03T16:35:14.2791075Z             >>> x = torch.randn([])
2025-11-03T16:35:14.2791306Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-11-03T16:35:14.2791556Z             >>> assert torch.allclose(cos_x, x.cos())
2025-11-03T16:35:14.2791778Z             >>>
2025-11-03T16:35:14.2791954Z             >>> # Second-order gradients
2025-11-03T16:35:14.2792206Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-11-03T16:35:14.2792479Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-11-03T16:35:14.2792722Z     
2025-11-03T16:35:14.2792981Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-11-03T16:35:14.2793292Z     
2025-11-03T16:35:14.2793438Z             >>> # xdoctest: +SKIP
2025-11-03T16:35:14.2793661Z             >>> from torch.func import grad, vmap
2025-11-03T16:35:14.2793908Z             >>> batch_size, feature_size = 3, 5
2025-11-03T16:35:14.2794121Z             >>>
2025-11-03T16:35:14.2794381Z             >>> def model(weights, feature_vec):
2025-11-03T16:35:14.2794639Z             >>> # Very simple linear model with activation
2025-11-03T16:35:14.2794893Z             >>>     assert feature_vec.dim() == 1
2025-11-03T16:35:14.2795141Z             >>>     return feature_vec.dot(weights).relu()
2025-11-03T16:35:14.2795361Z             >>>
2025-11-03T16:35:14.2795554Z             >>> def compute_loss(weights, example, target):
2025-11-03T16:35:14.2795808Z             >>>     y = model(weights, example)
2025-11-03T16:35:14.2796069Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-11-03T16:35:14.2796297Z             >>>
2025-11-03T16:35:14.2796507Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-11-03T16:35:14.2796812Z             >>> examples = torch.randn(batch_size, feature_size)
2025-11-03T16:35:14.2797076Z             >>> targets = torch.randn(batch_size)
2025-11-03T16:35:14.2797320Z             >>> inputs = (weights, examples, targets)
2025-11-03T16:35:14.2797649Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-11-03T16:35:14.2797958Z             ...     *inputs
2025-11-03T16:35:14.2798134Z             ... )
2025-11-03T16:35:14.2798289Z     
2025-11-03T16:35:14.2798485Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-11-03T16:35:14.2798739Z     
2025-11-03T16:35:14.2798888Z             >>> # xdoctest: +SKIP
2025-11-03T16:35:14.2799102Z             >>> from torch.func import grad
2025-11-03T16:35:14.2799335Z             >>> def my_loss_func(y, y_pred):
2025-11-03T16:35:14.2799581Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-11-03T16:35:14.2799840Z             >>>    loss = loss_per_sample.mean()
2025-11-03T16:35:14.2800092Z             >>>    return loss, (y_pred, loss_per_sample)
2025-11-03T16:35:14.2800309Z             >>>
2025-11-03T16:35:14.2800505Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-11-03T16:35:14.2800848Z             >>> y_true = torch.rand(4)
2025-11-03T16:35:14.2801093Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-11-03T16:35:14.2801337Z             >>> out = fn(y_true, y_preds)
2025-11-03T16:35:14.2801656Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-11-03T16:35:14.2801962Z     
2025-11-03T16:35:14.2802108Z         .. note::
2025-11-03T16:35:14.2802321Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-11-03T16:35:14.2802571Z     
2025-11-03T16:35:14.2802762Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-11-03T16:35:14.2803001Z     
2025-11-03T16:35:14.2803159Z                 >>> # xdoctest: +SKIP
2025-11-03T16:35:14.2803370Z                 >>> def f(x):
2025-11-03T16:35:14.2803572Z                 >>>     with torch.no_grad():
2025-11-03T16:35:14.2803875Z                 >>>         c = x ** 2
2025-11-03T16:35:14.2804074Z                 >>>     return x - c
2025-11-03T16:35:14.2804272Z     
2025-11-03T16:35:14.2804495Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-11-03T16:35:14.2804772Z     
2025-11-03T16:35:14.2804973Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-11-03T16:35:14.2805245Z     
2025-11-03T16:35:14.2805398Z                 >>> # xdoctest: +SKIP
2025-11-03T16:35:14.2805608Z                 >>> with torch.no_grad():
2025-11-03T16:35:14.2805816Z                 >>>     grad(f)(x)
2025-11-03T16:35:14.2806005Z     
2025-11-03T16:35:14.2806238Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-11-03T16:35:14.2806628Z             outer one. This is because ``grad`` is a "function transform": its result
2025-11-03T16:35:14.2807014Z             should not depend on the result of a context manager outside of ``f``.
2025-11-03T16:35:14.2807294Z     
2025-11-03T16:35:14.2807427Z         
2025-11-03T16:35:14.2807869Z     Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-11-03T16:35:14.2808436Z     
2025-11-03T16:35:14.2808565Z     _._ = None
2025-11-03T16:35:14.2808717Z     ^
2025-11-03T16:35:14.2808867Z       warnings.warn(msg)
2025-11-03T16:35:14.2809040Z     
2025-11-03T16:35:14.2809240Z --- Parse Warning: 9 / 17 ---
2025-11-03T16:35:14.2810043Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=401.
2025-11-03T16:35:14.2810931Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2811316Z     Register a FakeTensor implementation for this custom op.
2025-11-03T16:35:14.2811573Z     
2025-11-03T16:35:14.2811811Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-11-03T16:35:14.2812124Z     
2025-11-03T16:35:14.2812357Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-11-03T16:35:14.2812747Z             specifies the behavior of this operator on Tensors that carry no data.
2025-11-03T16:35:14.2813078Z             Given some input Tensors with certain properties
2025-11-03T16:35:14.2813436Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-11-03T16:35:14.2813763Z             the output Tensors are.
2025-11-03T16:35:14.2813960Z     
2025-11-03T16:35:14.2814174Z             Please see :func:`torch.library.register_fake` for more details.
2025-11-03T16:35:14.2814454Z     
2025-11-03T16:35:14.2814588Z             Args:
2025-11-03T16:35:14.2814807Z                 fn (Callable): The function to register as the FakeTensor
2025-11-03T16:35:14.2815075Z                     implementation.
2025-11-03T16:35:14.2815267Z     
2025-11-03T16:35:14.2815407Z             Examples:
2025-11-03T16:35:14.2815666Z                 >>> import torch
2025-11-03T16:35:14.2815872Z                 >>> import numpy as np
2025-11-03T16:35:14.2816103Z                 >>> from torch import Tensor
2025-11-03T16:35:14.2816323Z                 >>>
2025-11-03T16:35:14.2816561Z                 >>> # Example 1: an operator without data-dependent output shape
2025-11-03T16:35:14.2816905Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-11-03T16:35:14.2817252Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-11-03T16:35:14.2817553Z                 >>>     return (x @ weight.t()) + bias
2025-11-03T16:35:14.2817778Z                 >>>
2025-11-03T16:35:14.2817956Z                 >>> @linear.register_fake
2025-11-03T16:35:14.2818174Z                 >>> def _(x, weight, bias):
2025-11-03T16:35:14.2818395Z                 >>>     assert x.dim() == 2
2025-11-03T16:35:14.2818625Z                 >>>     assert weight.dim() == 2
2025-11-03T16:35:14.2818865Z                 >>>     assert bias.dim() == 1
2025-11-03T16:35:14.2819106Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-11-03T16:35:14.2819372Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-11-03T16:35:14.2819644Z                 >>>     assert x.device == weight.device
2025-11-03T16:35:14.2819919Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-11-03T16:35:14.2820157Z                 >>>
2025-11-03T16:35:14.2820332Z                 >>> x = torch.randn(2, 2)
2025-11-03T16:35:14.2820565Z                 >>> weight = torch.randn(2, 2)
2025-11-03T16:35:14.2820790Z                 >>> bias = torch.randn(2)
2025-11-03T16:35:14.2821027Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-11-03T16:35:14.2821340Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-11-03T16:35:14.2821657Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-11-03T16:35:14.2822006Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-11-03T16:35:14.2822387Z                 >>>
2025-11-03T16:35:14.2822607Z                 >>> # Example 2: an operator with data-dependent output shape
2025-11-03T16:35:14.2822948Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-11-03T16:35:14.2823251Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-11-03T16:35:14.2823490Z                 >>>     x_np = x.cpu().numpy()
2025-11-03T16:35:14.2823725Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-11-03T16:35:14.2823992Z                 >>>     return torch.tensor(res, device=x.device)
2025-11-03T16:35:14.2824225Z                 >>>
2025-11-03T16:35:14.2824398Z                 >>> @nonzero.register_fake
2025-11-03T16:35:14.2824608Z                 >>> def _(x):
2025-11-03T16:35:14.2824838Z                 >>> # Number of nonzero-elements is data-dependent.
2025-11-03T16:35:14.2825144Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-11-03T16:35:14.2825460Z                 >>> # we use the ctx object to construct a new symint that
2025-11-03T16:35:14.2825749Z                 >>> # represents the data-dependent size.
2025-11-03T16:35:14.2826005Z                 >>>     ctx = torch.library.get_ctx()
2025-11-03T16:35:14.2826249Z                 >>>     nnz = ctx.new_dynamic_size()
2025-11-03T16:35:14.2826487Z                 >>>     shape = [nnz, x.dim()]
2025-11-03T16:35:14.2826742Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-11-03T16:35:14.2826994Z                 >>>     return result
2025-11-03T16:35:14.2827190Z                 >>>
2025-11-03T16:35:14.2827372Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-11-03T16:35:14.2827623Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-11-03T16:35:14.2827904Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-11-03T16:35:14.2828181Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-11-03T16:35:14.2828536Z                 >>> assert torch.allclose(out, x.nonzero())
2025-11-03T16:35:14.2828767Z     
2025-11-03T16:35:14.2828900Z             
2025-11-03T16:35:14.2829350Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-11-03T16:35:14.2829841Z     
2025-11-03T16:35:14.2829983Z     _._ = None
2025-11-03T16:35:14.2830128Z     ^
2025-11-03T16:35:14.2830281Z       warnings.warn(msg)
2025-11-03T16:35:14.2830458Z     
2025-11-03T16:35:14.2830683Z --- Parse Warning: 10 / 17 ---
2025-11-03T16:35:14.2831490Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94.
2025-11-03T16:35:14.2832385Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-11-03T16:35:14.2832713Z     
2025-11-03T16:35:14.2832953Z     Registers a fake kernel based on the given operator profiles. This fake
2025-11-03T16:35:14.2833365Z     kernel registration will override any existing fake kernel registrations.
2025-11-03T16:35:14.2833673Z     
2025-11-03T16:35:14.2833898Z     The input is a dictionary mapping operator names to a set of operator
2025-11-03T16:35:14.2834284Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-11-03T16:35:14.2834664Z     are a record of the input and output tensor metadata. Based on this
2025-11-03T16:35:14.2835036Z     information we will match a given input to the recorded profile, and return
2025-11-03T16:35:14.2835428Z     an output with the same metadata as in the recorded profile. If a profile
2025-11-03T16:35:14.2835756Z     doesn't exist then an exception will be thrown.
2025-11-03T16:35:14.2835987Z     
2025-11-03T16:35:14.2836220Z     The fake kernel generation is considered unsafe because it relies on the
2025-11-03T16:35:14.2836699Z     rigid, pre-defined operator profiles that do not account for potential
2025-11-03T16:35:14.2837103Z     variations in output behavior. Specifically, the generated kernels assume a
2025-11-03T16:35:14.2837524Z     fixed relationship between input and output ranks. However, in reality, it's
2025-11-03T16:35:14.2837939Z     possible that data-dependent operations may produce outputs of different
2025-11-03T16:35:14.2838323Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-11-03T16:35:14.2838707Z     are inflexible and unable to accommodate these nuances, making them
2025-11-03T16:35:14.2839001Z     potentially unsafe.
2025-11-03T16:35:14.2839174Z     
2025-11-03T16:35:14.2839306Z     Args:
2025-11-03T16:35:14.2839539Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-11-03T16:35:14.2839905Z             name to a set of operator profiles from which we will generate fake
2025-11-03T16:35:14.2840202Z             kernels.
2025-11-03T16:35:14.2840373Z     
2025-11-03T16:35:14.2840517Z     Examples:
2025-11-03T16:35:14.2840667Z     
2025-11-03T16:35:14.2840867Z         >>> # Example: Registering an op-profile from draft-export
2025-11-03T16:35:14.2841126Z         >>> import torch
2025-11-03T16:35:14.2841358Z         >>> from torch.export._draft_export import draft_export
2025-11-03T16:35:14.2841609Z         >>>
2025-11-03T16:35:14.2841826Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-11-03T16:35:14.2842113Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-11-03T16:35:14.2842348Z         >>>     return x + y
2025-11-03T16:35:14.2842523Z         >>>
2025-11-03T16:35:14.2842681Z         >>> class M(torch.nn.Module):
2025-11-03T16:35:14.2842899Z         >>>     def forward(self, a, b):
2025-11-03T16:35:14.2843146Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-11-03T16:35:14.2843389Z         >>>         return res
2025-11-03T16:35:14.2843573Z         >>>
2025-11-03T16:35:14.2843947Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-11-03T16:35:14.2844198Z         >>>
2025-11-03T16:35:14.2844481Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-11-03T16:35:14.2844853Z         >>>     decomp = ep.run_decompositions()
2025-11-03T16:35:14.2845066Z     
2025-11-03T16:35:14.2845189Z     
2025-11-03T16:35:14.2845583Z     Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-11-03T16:35:14.2846033Z     
2025-11-03T16:35:14.2846171Z       warnings.warn(msg)
2025-11-03T16:35:14.2846336Z     
2025-11-03T16:35:14.2846545Z --- Parse Warning: 11 / 17 ---
2025-11-03T16:35:14.2847518Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-11-03T16:35:14.2848554Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2848851Z     
2025-11-03T16:35:14.2849101Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-11-03T16:35:14.2849509Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-11-03T16:35:14.2849901Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-11-03T16:35:14.2850205Z     input by the user.
2025-11-03T16:35:14.2850456Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-11-03T16:35:14.2850790Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-11-03T16:35:14.2851028Z     
2025-11-03T16:35:14.2851164Z     Note::
2025-11-03T16:35:14.2851459Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-11-03T16:35:14.2851886Z     
2025-11-03T16:35:14.2852025Z     Args:
2025-11-03T16:35:14.2852175Z         model (nn.Module):
2025-11-03T16:35:14.2852443Z             The model whose layers will be sparsified. The layers that needs to be
2025-11-03T16:35:14.2852854Z             sparsified should be added separately using the register_layer() function
2025-11-03T16:35:14.2853185Z         aggregate_fn (Optional, Callable):
2025-11-03T16:35:14.2853513Z             default aggregate_fn that is used if not specified while registering the layer.
2025-11-03T16:35:14.2853879Z             specifies how inputs should be aggregated over time.
2025-11-03T16:35:14.2854270Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-11-03T16:35:14.2854604Z             Example
2025-11-03T16:35:14.2854828Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-11-03T16:35:14.2855122Z                 reduce_fn (Optional, Callable):
2025-11-03T16:35:14.2855451Z                     default reduce_fn that is used if not specified while registering the layer.
2025-11-03T16:35:14.2855875Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-11-03T16:35:14.2856216Z                     calling agg_fn() on all inputs.
2025-11-03T16:35:14.2856442Z                     Example
2025-11-03T16:35:14.2856692Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-11-03T16:35:14.2856988Z                 mask_fn (Optional, Callable):
2025-11-03T16:35:14.2857350Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-11-03T16:35:14.2857818Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-11-03T16:35:14.2858152Z                     register_layer().
2025-11-03T16:35:14.2858527Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-11-03T16:35:14.2859001Z                     arguments.
2025-11-03T16:35:14.2859212Z                 features (Optional, list):
2025-11-03T16:35:14.2859466Z                     default selected features to sparsify.
2025-11-03T16:35:14.2859815Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-11-03T16:35:14.2860150Z                     For example,
2025-11-03T16:35:14.2860455Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-11-03T16:35:14.2860793Z                 feature_dim (Optional, int):
2025-11-03T16:35:14.2861134Z                     default dimension of input features. Again, features along this dim will be chosen
2025-11-03T16:35:14.2861472Z                     for sparsification.
2025-11-03T16:35:14.2861692Z                 sparse_config (Dict):
2025-11-03T16:35:14.2861981Z                     Default configuration for the mask_fn. This config will be passed
2025-11-03T16:35:14.2862296Z                     with the mask_fn()
2025-11-03T16:35:14.2862488Z     
2025-11-03T16:35:14.2862626Z     Example:
2025-11-03T16:35:14.2862788Z         >>> # xdoctest: +SKIP
2025-11-03T16:35:14.2862983Z         >>> model = SomeModel()
2025-11-03T16:35:14.2863270Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-11-03T16:35:14.2863588Z         >>> # Initialize aggregate_fn
2025-11-03T16:35:14.2863796Z         >>> def agg_fn(x, y):
2025-11-03T16:35:14.2863982Z         >>>     return x + y
2025-11-03T16:35:14.2864153Z         >>>
2025-11-03T16:35:14.2864310Z         >>> # Initialize reduce_fn
2025-11-03T16:35:14.2864510Z         >>> def reduce_fn(x):
2025-11-03T16:35:14.2864719Z         >>>     return torch.mean(x, dim=0)
2025-11-03T16:35:14.2864924Z         >>>
2025-11-03T16:35:14.2865075Z         >>> # Initialize mask_fn
2025-11-03T16:35:14.2865272Z         >>> def mask_fn(data):
2025-11-03T16:35:14.2865495Z         >>>     return torch.eye(data.shape).to(data.device)
2025-11-03T16:35:14.2865809Z         >>>
2025-11-03T16:35:14.2865949Z         >>>
2025-11-03T16:35:14.2866113Z         >>> act_sparsifier.register_layer(
2025-11-03T16:35:14.2866335Z         ...     model.some_layer,
2025-11-03T16:35:14.2866535Z         ...     aggregate_fn=agg_fn,
2025-11-03T16:35:14.2866744Z         ...     reduce_fn=reduce_fn,
2025-11-03T16:35:14.2866950Z         ...     mask_fn=mask_fn,
2025-11-03T16:35:14.2867133Z         ... )
2025-11-03T16:35:14.2867274Z         >>>
2025-11-03T16:35:14.2867430Z         >>> # start training process
2025-11-03T16:35:14.2867636Z         >>> for _ in [...]:
2025-11-03T16:35:14.2868085Z         >>> # epoch starts
2025-11-03T16:35:14.2868322Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-11-03T16:35:14.2868589Z         >>> # epoch ends
2025-11-03T16:35:14.2868781Z         >>>     act_sparsifier.step()
2025-11-03T16:35:14.2868994Z         >>> # end training process
2025-11-03T16:35:14.2869208Z         >>> sparsifier.squash_mask()
2025-11-03T16:35:14.2869416Z     
2025-11-03T16:35:14.2869843Z     Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-11-03T16:35:14.2870316Z     
2025-11-03T16:35:14.2870447Z     _._ = None
2025-11-03T16:35:14.2870600Z     ^
2025-11-03T16:35:14.2870750Z       warnings.warn(msg)
2025-11-03T16:35:14.2870923Z     
2025-11-03T16:35:14.2871151Z --- Parse Warning: 12 / 17 ---
2025-11-03T16:35:14.2871959Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=526.
2025-11-03T16:35:14.2872843Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2873155Z     
2025-11-03T16:35:14.2873415Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-11-03T16:35:14.2874781Z     The submesh created consists of the dimensions and the communicators indicated by
2025-11-03T16:35:14.2875130Z     ``mesh_dim_names``
2025-11-03T16:35:14.2875299Z     
2025-11-03T16:35:14.2875433Z     Args:
2025-11-03T16:35:14.2875675Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-11-03T16:35:14.2876047Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-11-03T16:35:14.2876311Z     Returns:
2025-11-03T16:35:14.2876489Z         A :class:`DeviceMesh` object
2025-11-03T16:35:14.2876682Z     
2025-11-03T16:35:14.2876955Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-11-03T16:35:14.2877300Z     In the first example:
2025-11-03T16:35:14.2877592Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-11-03T16:35:14.2878013Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-11-03T16:35:14.2878433Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-11-03T16:35:14.2878821Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-11-03T16:35:14.2879197Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-11-03T16:35:14.2879574Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-11-03T16:35:14.2879853Z     
2025-11-03T16:35:14.2889225Z     In the second example:
2025-11-03T16:35:14.2889590Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-11-03T16:35:14.2890051Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-11-03T16:35:14.2890507Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-11-03T16:35:14.2891168Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-11-03T16:35:14.2891496Z     
2025-11-03T16:35:14.2891663Z     Example::
2025-11-03T16:35:14.2891811Z     
2025-11-03T16:35:14.2891969Z         >>> # xdoctest: +SKIP("no rank")
2025-11-03T16:35:14.2892252Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-11-03T16:35:14.2892517Z         >>>
2025-11-03T16:35:14.2892752Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-11-03T16:35:14.2893088Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-11-03T16:35:14.2893450Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-11-03T16:35:14.2893775Z         >>> tp_mesh = mesh_2d["tp"]
2025-11-03T16:35:14.2893986Z         >>> dp_mesh = mesh_2d["dp"]
2025-11-03T16:35:14.2894188Z         >>>
2025-11-03T16:35:14.2894341Z         >>> # Initialize a 3D mesh.
2025-11-03T16:35:14.2894670Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-11-03T16:35:14.2895147Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-11-03T16:35:14.2895522Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-11-03T16:35:14.2895754Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-11-03T16:35:14.2895951Z     
2025-11-03T16:35:14.2896495Z     Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-11-03T16:35:14.2897093Z     
2025-11-03T16:35:14.2897340Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-11-03T16:35:14.2897677Z                                                                                      ^
2025-11-03T16:35:14.2897907Z       warnings.warn(msg)
2025-11-03T16:35:14.2898080Z     
2025-11-03T16:35:14.2898433Z --- Parse Warning: 13 / 17 ---
2025-11-03T16:35:14.2899272Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-11-03T16:35:14.2900160Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2900467Z     
2025-11-03T16:35:14.2900746Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-11-03T16:35:14.2901083Z     
2025-11-03T16:35:14.2901358Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-11-03T16:35:14.2901690Z     
2025-11-03T16:35:14.2901954Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-11-03T16:35:14.2902307Z     will be visible to the whole process.
2025-11-03T16:35:14.2902521Z     
2025-11-03T16:35:14.2902794Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-11-03T16:35:14.2903125Z     
2025-11-03T16:35:14.2903289Z     1) set_up_planner - called on all ranks.
2025-11-03T16:35:14.2903538Z         Signals the start of a checkpoint save.
2025-11-03T16:35:14.2903751Z     
2025-11-03T16:35:14.2903918Z     2) create_local_plan - called on all ranks.
2025-11-03T16:35:14.2904275Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-11-03T16:35:14.2904615Z     
2025-11-03T16:35:14.2904826Z     3) create_global_plan - called on the coordinator rank only.
2025-11-03T16:35:14.2905169Z         Takes the SavePlan from all ranks and make any global decision.
2025-11-03T16:35:14.2905440Z     
2025-11-03T16:35:14.2905596Z     4) finish_plan - called on all ranks.
2025-11-03T16:35:14.2905892Z         This gives each rank a chance to adjust to global planning decisions.
2025-11-03T16:35:14.2906176Z     
2025-11-03T16:35:14.2906458Z     5) resolve_data - called multiple times on each rank
2025-11-03T16:35:14.2906785Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-11-03T16:35:14.2907059Z     
2025-11-03T16:35:14.2907347Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-11-03T16:35:14.2907763Z     most changes can be expressed by changes in a single method.
2025-11-03T16:35:14.2908024Z     
2025-11-03T16:35:14.2908184Z     There are 3 usual patterns of extension:
2025-11-03T16:35:14.2908398Z     
2025-11-03T16:35:14.2908649Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-11-03T16:35:14.2909061Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-11-03T16:35:14.2909347Z     
2025-11-03T16:35:14.2909504Z     >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:14.2909753Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-11-03T16:35:14.2909997Z     >>>     def set_up_planner(
2025-11-03T16:35:14.2910192Z     >>>         self,
2025-11-03T16:35:14.2910376Z     >>>         state_dict: STATE_DICT_TYPE,
2025-11-03T16:35:14.2910612Z     >>>         storage_meta: Optional[StorageMeta],
2025-11-03T16:35:14.2910862Z     >>>         is_coordinator: bool,
2025-11-03T16:35:14.2911070Z     >>>     ) -> None:
2025-11-03T16:35:14.2911256Z     >>> # prefix all keys with `foo_``
2025-11-03T16:35:14.2911607Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-11-03T16:35:14.2911946Z     
2025-11-03T16:35:14.2912250Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-11-03T16:35:14.2912611Z     
2025-11-03T16:35:14.2912767Z     >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:14.2913009Z     >>> class FP16Planner(DefaultSavePlanner):
2025-11-03T16:35:14.2913246Z     >>>     def create_local_plan(self):
2025-11-03T16:35:14.2913477Z     >>>         plan = super().create_local_plan()
2025-11-03T16:35:14.2913834Z     >>>         for p in plan:
2025-11-03T16:35:14.2914052Z     >>>             if p.tensor_data is not None:
2025-11-03T16:35:14.2914326Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-11-03T16:35:14.2914579Z     >>>         return plan
2025-11-03T16:35:14.2914759Z     >>>
2025-11-03T16:35:14.2914930Z     >>>     def resolve_data(self, write_item):
2025-11-03T16:35:14.2915182Z     >>>         item = super().resolve_data(write_item)
2025-11-03T16:35:14.2915533Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-11-03T16:35:14.2915864Z     
2025-11-03T16:35:14.2916178Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-11-03T16:35:14.2916546Z     
2025-11-03T16:35:14.2916699Z     >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:14.2916937Z     >>> from itertools import zip_longest
2025-11-03T16:35:14.2917166Z     >>> from dataclasses import replace
2025-11-03T16:35:14.2917448Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-11-03T16:35:14.2917842Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-11-03T16:35:14.2918198Z     >>> # This sample doesn't handle ShardedTensors
2025-11-03T16:35:14.2918457Z     >>>     def create_global_plan(self, all_plans):
2025-11-03T16:35:14.2918730Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-11-03T16:35:14.2918984Z     >>>         items_per_rank = [
2025-11-03T16:35:14.2919211Z     >>>             [item for item in items if item is not None]
2025-11-03T16:35:14.2919496Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-11-03T16:35:14.2919744Z     >>>         ]
2025-11-03T16:35:14.2919913Z     >>>         all_plans = [
2025-11-03T16:35:14.2920110Z     >>>             replace(plan, items=items)
2025-11-03T16:35:14.2920396Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-11-03T16:35:14.2920748Z     >>>         ]
2025-11-03T16:35:14.2920945Z     >>>         return super().create_global_plan(all_plans)
2025-11-03T16:35:14.2921173Z     
2025-11-03T16:35:14.2921433Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-11-03T16:35:14.2921880Z     accomplished by having each rank contribute their data items in the local plan and
2025-11-03T16:35:14.2922223Z     the global planner aggregate them:
2025-11-03T16:35:14.2922423Z     
2025-11-03T16:35:14.2922579Z     >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:14.2922841Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-11-03T16:35:14.2923115Z     >>>     def create_local_plan(self) -> SavePlan:
2025-11-03T16:35:14.2923363Z     >>>         plan = super().create_local_plan()
2025-11-03T16:35:14.2923743Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-11-03T16:35:14.2924003Z     >>>
2025-11-03T16:35:14.2924294Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-11-03T16:35:14.2924718Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-11-03T16:35:14.2925035Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-11-03T16:35:14.2925338Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-11-03T16:35:14.2925611Z     >>>         return global_plan, metadata
2025-11-03T16:35:14.2925820Z     
2025-11-03T16:35:14.2926253Z     Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-11-03T16:35:14.2926745Z     
2025-11-03T16:35:14.2926882Z     _._ = None
2025-11-03T16:35:14.2927032Z     ^
2025-11-03T16:35:14.2927176Z       warnings.warn(msg)
2025-11-03T16:35:14.2927350Z     
2025-11-03T16:35:14.2927565Z --- Parse Warning: 14 / 17 ---
2025-11-03T16:35:14.2928452Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-11-03T16:35:14.2929339Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2929640Z     
2025-11-03T16:35:14.2929915Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-11-03T16:35:14.2930250Z     
2025-11-03T16:35:14.2930527Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-11-03T16:35:14.2930858Z     
2025-11-03T16:35:14.2931124Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-11-03T16:35:14.2931481Z     will be visible to the whole process.
2025-11-03T16:35:14.2931700Z     
2025-11-03T16:35:14.2931964Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-11-03T16:35:14.2932298Z     
2025-11-03T16:35:14.2932464Z     1) set_up_planner - called on all ranks.
2025-11-03T16:35:14.2932713Z         Signals the start of loading a checkpoint.
2025-11-03T16:35:14.2932933Z     
2025-11-03T16:35:14.2933110Z     2) create_local_plan - called on all ranks.
2025-11-03T16:35:14.2933483Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-11-03T16:35:14.2933821Z     
2025-11-03T16:35:14.2934024Z     3) create_global_plan - called on the coordinator rank only.
2025-11-03T16:35:14.2934374Z         Takes the LoadPlan from all ranks and make any global decision.
2025-11-03T16:35:14.2934647Z     
2025-11-03T16:35:14.2934831Z     4) load_bytes - called multiple times on each rank
2025-11-03T16:35:14.2935125Z         This is called once per non-tensor value in state_dict.
2025-11-03T16:35:14.2935187Z     
2025-11-03T16:35:14.2935343Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-11-03T16:35:14.2935478Z         They are called in pair for each Tensor value in state_dict.
2025-11-03T16:35:14.2935618Z     
2025-11-03T16:35:14.2935827Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-11-03T16:35:14.2935960Z     most changes can be expressed by changes in a single method.
2025-11-03T16:35:14.2936016Z     
2025-11-03T16:35:14.2936115Z     There are two usual patterns of extension:
2025-11-03T16:35:14.2936171Z     
2025-11-03T16:35:14.2936349Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-11-03T16:35:14.2936524Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-11-03T16:35:14.2936683Z     to keep a reference to the original state_dict as load happens in place so
2025-11-03T16:35:14.2936776Z     we need to be able to perform it in place
2025-11-03T16:35:14.2936830Z     
2025-11-03T16:35:14.2936911Z     >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:14.2937013Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-11-03T16:35:14.2937095Z     >>>     def set_up_planner(
2025-11-03T16:35:14.2937164Z     >>>         self,
2025-11-03T16:35:14.2937244Z     >>>         state_dict: STATE_DICT_TYPE,
2025-11-03T16:35:14.2937324Z     >>>         metadata: Metadata,
2025-11-03T16:35:14.2937400Z     >>>         is_coordinator: bool,
2025-11-03T16:35:14.2937465Z     >>>     ) -> None:
2025-11-03T16:35:14.2937564Z     >>>         self.original_state_dict = state_dict
2025-11-03T16:35:14.2937687Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-11-03T16:35:14.2937751Z     >>>
2025-11-03T16:35:14.2937837Z     >>>         if self.flatten_sharded_tensors:
2025-11-03T16:35:14.2937956Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-11-03T16:35:14.2938020Z     >>>
2025-11-03T16:35:14.2938099Z     >>>         if self.flatten_state_dict:
2025-11-03T16:35:14.2938233Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-11-03T16:35:14.2938297Z     >>>
2025-11-03T16:35:14.2938448Z     >>>         self.state_dict = state_dict
2025-11-03T16:35:14.2938533Z     >>>         self.metadata = metadata
2025-11-03T16:35:14.2938622Z     >>>         self.is_coordinator = is_coordinator
2025-11-03T16:35:14.2938685Z     >>>
2025-11-03T16:35:14.2938774Z     >>>     def load_bytes(self, read_item, value):
2025-11-03T16:35:14.2938847Z     >>> # Remove the "foo_" prefix
2025-11-03T16:35:14.2939077Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-11-03T16:35:14.2939134Z     
2025-11-03T16:35:14.2939194Z     
2025-11-03T16:35:14.2939375Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-11-03T16:35:14.2939432Z     
2025-11-03T16:35:14.2939521Z     >>> # xdoctest: +SKIP("undefined vars")
2025-11-03T16:35:14.2939632Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-11-03T16:35:14.2939714Z     >>>     def resolve_tensor(self, read_item):
2025-11-03T16:35:14.2939823Z     >>>         tensor = super().resolve_tensor(read_item)
2025-11-03T16:35:14.2939928Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-11-03T16:35:14.2939990Z     >>>
2025-11-03T16:35:14.2940081Z     >>>     def commit_tensor(self, read_item, tensor):
2025-11-03T16:35:14.2940194Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-11-03T16:35:14.2940255Z     
2025-11-03T16:35:14.2940617Z     Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-11-03T16:35:14.2940686Z     
2025-11-03T16:35:14.2940752Z     _._ = None
2025-11-03T16:35:14.2940808Z     ^
2025-11-03T16:35:14.2940884Z       warnings.warn(msg)
2025-11-03T16:35:14.2940940Z     
2025-11-03T16:35:14.2941088Z --- Parse Warning: 15 / 17 ---
2025-11-03T16:35:14.2941737Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295.
2025-11-03T16:35:14.2942002Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2942064Z     
2025-11-03T16:35:14.2942207Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-11-03T16:35:14.2942346Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-11-03T16:35:14.2942488Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-11-03T16:35:14.2942638Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-11-03T16:35:14.2942778Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-11-03T16:35:14.2942839Z     follows:
2025-11-03T16:35:14.2942899Z     
2025-11-03T16:35:14.2942991Z         >>> # xdoctest: +SKIP("undefined variables")
2025-11-03T16:35:14.2943152Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-11-03T16:35:14.2943255Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-11-03T16:35:14.2943395Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-11-03T16:35:14.2943555Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-11-03T16:35:14.2943633Z         >>>     state = fsdp.state_dict()
2025-11-03T16:35:14.2943778Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-11-03T16:35:14.2943946Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-11-03T16:35:14.2944106Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-11-03T16:35:14.2944186Z         >>> if dist.get_rank() == 0:
2025-11-03T16:35:14.2944314Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-11-03T16:35:14.2944418Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-11-03T16:35:14.2944578Z         >>>     model.load_state_dict(state_dict)
2025-11-03T16:35:14.2944740Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-11-03T16:35:14.2944908Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-11-03T16:35:14.2944976Z         >>> fsdp = FSDP(
2025-11-03T16:35:14.2945044Z         ...     model,
2025-11-03T16:35:14.2945138Z         ...     device_id=torch.cuda.current_device(),
2025-11-03T16:35:14.2945212Z         ...     auto_wrap_policy=...,
2025-11-03T16:35:14.2945291Z         ...     sync_module_states=True,
2025-11-03T16:35:14.2945348Z         ... )
2025-11-03T16:35:14.2945495Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-11-03T16:35:14.2945559Z     
2025-11-03T16:35:14.2945620Z     Attributes:
2025-11-03T16:35:14.2945773Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-11-03T16:35:14.2945916Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-11-03T16:35:14.2946036Z             ranks save the full state dict. (Default: ``False``)
2025-11-03T16:35:14.2946098Z     
2025-11-03T16:35:14.2946435Z     Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-11-03T16:35:14.2946497Z     
2025-11-03T16:35:14.2946556Z     _._ = None
2025-11-03T16:35:14.2946612Z     ^
2025-11-03T16:35:14.2946687Z       warnings.warn(msg)
2025-11-03T16:35:14.2946744Z     
2025-11-03T16:35:14.2946885Z --- Parse Warning: 16 / 17 ---
2025-11-03T16:35:14.2947533Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=438.
2025-11-03T16:35:14.2947700Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2947895Z     Register a parametrization to a tensor in a module.
2025-11-03T16:35:14.2947954Z     
2025-11-03T16:35:14.2948149Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-11-03T16:35:14.2948342Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-11-03T16:35:14.2948521Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-11-03T16:35:14.2948723Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-11-03T16:35:14.2948790Z     
2025-11-03T16:35:14.2949012Z         The first time that a module registers a parametrization, this function will add an attribute
2025-11-03T16:35:14.2949182Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-11-03T16:35:14.2949244Z     
2025-11-03T16:35:14.2949415Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-11-03T16:35:14.2949514Z         ``module.parametrizations.weight``.
2025-11-03T16:35:14.2949575Z     
2025-11-03T16:35:14.2949671Z         The original tensor will be accessible under
2025-11-03T16:35:14.2949773Z         ``module.parametrizations.weight.original``.
2025-11-03T16:35:14.2949835Z     
2025-11-03T16:35:14.2950013Z         Parametrizations may be concatenated by registering several parametrizations
2025-11-03T16:35:14.2950090Z         on the same attribute.
2025-11-03T16:35:14.2950145Z     
2025-11-03T16:35:14.2950309Z         The training mode of a registered parametrization is updated on registration
2025-11-03T16:35:14.2950410Z         to match the training mode of the host module
2025-11-03T16:35:14.2950466Z     
2025-11-03T16:35:14.2950680Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-11-03T16:35:14.2950778Z         using the context manager :func:`cached`.
2025-11-03T16:35:14.2950837Z     
2025-11-03T16:35:14.2951077Z         A :attr:`parametrization` may optionally implement a method with signature
2025-11-03T16:35:14.2951138Z     
2025-11-03T16:35:14.2951220Z         .. code-block:: python
2025-11-03T16:35:14.2951274Z     
2025-11-03T16:35:14.2951423Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-11-03T16:35:14.2951483Z     
2025-11-03T16:35:14.2951662Z         This method is called on the unparametrized tensor when the first parametrization
2025-11-03T16:35:14.2951808Z         is registered to compute the initial value of the original tensor.
2025-11-03T16:35:14.2952014Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-11-03T16:35:14.2952069Z     
2025-11-03T16:35:14.2952286Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-11-03T16:35:14.2952479Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-11-03T16:35:14.2952539Z     
2025-11-03T16:35:14.2952701Z         It is possible for the first parametrization to depend on several inputs.
2025-11-03T16:35:14.2952864Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-11-03T16:35:14.2953029Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-11-03T16:35:14.2953085Z     
2025-11-03T16:35:14.2953323Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-11-03T16:35:14.2953413Z         with names ``original0``, ``original1``,...
2025-11-03T16:35:14.2953472Z     
2025-11-03T16:35:14.2953539Z         .. note::
2025-11-03T16:35:14.2953598Z     
2025-11-03T16:35:14.2953787Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-11-03T16:35:14.2953890Z             once to perform a number of consistency checks.
2025-11-03T16:35:14.2954072Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-11-03T16:35:14.2954239Z             and nothing will be called otherwise.
2025-11-03T16:35:14.2954293Z     
2025-11-03T16:35:14.2954361Z         .. note::
2025-11-03T16:35:14.2954430Z     
2025-11-03T16:35:14.2954572Z             In most situations, ``right_inverse`` will be a function such that
2025-11-03T16:35:14.2954662Z             ``forward(right_inverse(X)) == X`` (see
2025-11-03T16:35:14.2954871Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-11-03T16:35:14.2955050Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-11-03T16:35:14.2955118Z             to relax this.
2025-11-03T16:35:14.2955173Z     
2025-11-03T16:35:14.2955243Z         .. warning::
2025-11-03T16:35:14.2955297Z     
2025-11-03T16:35:14.2955491Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-11-03T16:35:14.2955670Z             will register a number of new parameters. If such parametrization is registered
2025-11-03T16:35:14.2955865Z             after the optimizer is created, these new parameters will need to be added manually
2025-11-03T16:35:14.2956005Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-11-03T16:35:14.2956062Z     
2025-11-03T16:35:14.2956128Z         Args:
2025-11-03T16:35:14.2956273Z             module (nn.Module): module on which to register the parametrization
2025-11-03T16:35:14.2956421Z             tensor_name (str): name of the parameter or buffer on which to register
2025-11-03T16:35:14.2956503Z                 the parametrization
2025-11-03T16:35:14.2956645Z             parametrization (nn.Module): the parametrization to register
2025-11-03T16:35:14.2956717Z         Keyword args:
2025-11-03T16:35:14.2956866Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-11-03T16:35:14.2957000Z                 may change the dtype and shape of the tensor. Default: `False`
2025-11-03T16:35:14.2957259Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-11-03T16:35:14.2957352Z                 Enable this flag at your own risk.
2025-11-03T16:35:14.2957412Z     
2025-11-03T16:35:14.2957473Z         Raises:
2025-11-03T16:35:14.2957673Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-11-03T16:35:14.2957737Z     
2025-11-03T16:35:14.2957799Z         Examples:
2025-11-03T16:35:14.2957911Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-11-03T16:35:14.2957979Z             >>> import torch
2025-11-03T16:35:14.2958054Z             >>> import torch.nn as nn
2025-11-03T16:35:14.2958157Z             >>> import torch.nn.utils.parametrize as P
2025-11-03T16:35:14.2958214Z             >>>
2025-11-03T16:35:14.2958294Z             >>> class Symmetric(nn.Module):
2025-11-03T16:35:14.2958374Z             >>>     def forward(self, X):
2025-11-03T16:35:14.2958497Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-11-03T16:35:14.2958568Z             >>>
2025-11-03T16:35:14.2958649Z             >>>     def right_inverse(self, A):
2025-11-03T16:35:14.2958734Z             >>>         return A.triu()
2025-11-03T16:35:14.2958798Z             >>>
2025-11-03T16:35:14.2958872Z             >>> m = nn.Linear(5, 5)
2025-11-03T16:35:14.2958997Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-11-03T16:35:14.2959164Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-11-03T16:35:14.2959224Z             True
2025-11-03T16:35:14.2959302Z             >>> A = torch.rand(5, 5)
2025-11-03T16:35:14.2959382Z             >>> A = A + A.T  # A is now symmetric
2025-11-03T16:35:14.2959526Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-11-03T16:35:14.2959615Z             >>> print(torch.allclose(m.weight, A))
2025-11-03T16:35:14.2959675Z             True
2025-11-03T16:35:14.2959737Z     
2025-11-03T16:35:14.2959890Z             >>> class RankOne(nn.Module):
2025-11-03T16:35:14.2959978Z             >>>     def forward(self, x, y):
2025-11-03T16:35:14.2960079Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-11-03T16:35:14.2960175Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-11-03T16:35:14.2960241Z             >>>
2025-11-03T16:35:14.2960322Z             >>>     def right_inverse(self, Z):
2025-11-03T16:35:14.2960417Z             >>> # Project Z onto the rank 1 matrices
2025-11-03T16:35:14.2960534Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-11-03T16:35:14.2960617Z             >>> # Return rescaled singular vectors
2025-11-03T16:35:14.2960709Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-11-03T16:35:14.2960810Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-11-03T16:35:14.2960873Z             >>>
2025-11-03T16:35:14.2960979Z             >>> linear_rank_one = P.register_parametrization(
2025-11-03T16:35:14.2961077Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-11-03T16:35:14.2961137Z             ... )
2025-11-03T16:35:14.2961277Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-11-03T16:35:14.2961340Z             1
2025-11-03T16:35:14.2961396Z     
2025-11-03T16:35:14.2961452Z         
2025-11-03T16:35:14.2961816Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-11-03T16:35:14.2961871Z     
2025-11-03T16:35:14.2961934Z     _._ = None
2025-11-03T16:35:14.2961990Z     ^
2025-11-03T16:35:14.2962059Z       warnings.warn(msg)
2025-11-03T16:35:14.2962118Z     
2025-11-03T16:35:14.2962253Z --- Parse Warning: 17 / 17 ---
2025-11-03T16:35:14.2962972Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1595.
2025-11-03T16:35:14.2963152Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-11-03T16:35:14.2963282Z     Reduce learning rate when a metric has stopped improving.
2025-11-03T16:35:14.2963342Z     
2025-11-03T16:35:14.2963481Z         Models often benefit from reducing the learning rate by a factor
2025-11-03T16:35:14.2963704Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-11-03T16:35:14.2963842Z         quantity and if no improvement is seen for a 'patience' number
2025-11-03T16:35:14.2963930Z         of epochs, the learning rate is reduced.
2025-11-03T16:35:14.2963992Z     
2025-11-03T16:35:14.2964048Z         Args:
2025-11-03T16:35:14.2964144Z             optimizer (Optimizer): Wrapped optimizer.
2025-11-03T16:35:14.2964261Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-11-03T16:35:14.2964369Z                 be reduced when the quantity monitored has stopped
2025-11-03T16:35:14.2964495Z                 decreasing; in `max` mode it will be reduced when the
2025-11-03T16:35:14.2964628Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-11-03T16:35:14.2964752Z             factor (float): Factor by which the learning rate will be
2025-11-03T16:35:14.2964850Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-11-03T16:35:14.2964999Z             patience (int): The number of allowed epochs with no improvement after
2025-11-03T16:35:14.2965093Z                 which the learning rate will be reduced.
2025-11-03T16:35:14.2965251Z                 For example, consider the case of having no patience (`patience = 0`).
2025-11-03T16:35:14.2965509Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-11-03T16:35:14.2965650Z                 In the second epoch, if the performance is worse than the baseline,
2025-11-03T16:35:14.2965759Z                 we have what is considered an intolerable epoch.
2025-11-03T16:35:14.2966039Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-11-03T16:35:14.2966158Z                 the learning rate is reduced at the end of this epoch.
2025-11-03T16:35:14.2966386Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-11-03T16:35:14.2966597Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-11-03T16:35:14.2966685Z                 the learning rate is not adjusted.
2025-11-03T16:35:14.2966759Z                 Default: 10.
2025-11-03T16:35:14.2966892Z             threshold (float): Threshold for measuring the new optimum,
2025-11-03T16:35:14.2967010Z                 to only focus on significant changes. Default: 1e-4.
2025-11-03T16:35:14.2967130Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-11-03T16:35:14.2967245Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-11-03T16:35:14.2967352Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-11-03T16:35:14.2967460Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-11-03T16:35:14.2967591Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-11-03T16:35:14.2967709Z             cooldown (int): Number of epochs to wait before resuming
2025-11-03T16:35:14.2968154Z                 normal operation after lr has been reduced. Default: 0.
2025-11-03T16:35:14.2968272Z             min_lr (float or list): A scalar or a list of scalars. A
2025-11-03T16:35:14.2968381Z                 lower bound on the learning rate of all param groups
2025-11-03T16:35:14.2968480Z                 or each group respectively. Default: 0.
2025-11-03T16:35:14.2968602Z             eps (float): Minimal decay applied to lr. If the difference
2025-11-03T16:35:14.2968734Z                 between new and old lr is smaller than eps, the update is
2025-11-03T16:35:14.2968953Z                 ignored. Default: 1e-8.
2025-11-03T16:35:14.2969016Z     
2025-11-03T16:35:14.2969083Z         Example:
2025-11-03T16:35:14.2969155Z             >>> # xdoctest: +SKIP
2025-11-03T16:35:14.2969321Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-11-03T16:35:14.2969429Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-11-03T16:35:14.2969503Z             >>> for epoch in range(10):
2025-11-03T16:35:14.2969583Z             >>>     train(...)
2025-11-03T16:35:14.2969665Z             >>>     val_loss = validate(...)
2025-11-03T16:35:14.2969782Z             >>> # Note that step should be called after validate()
2025-11-03T16:35:14.2969860Z             >>>     scheduler.step(val_loss)
2025-11-03T16:35:14.2969915Z     
2025-11-03T16:35:14.2970057Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-11-03T16:35:14.2970115Z         
2025-11-03T16:35:14.2970410Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-11-03T16:35:14.2970475Z     
2025-11-03T16:35:14.2970551Z         scheduler.step(val_loss)
2025-11-03T16:35:14.2970613Z        ^
2025-11-03T16:35:14.2970683Z       warnings.warn(msg)
2025-11-03T16:35:14.2970741Z     
2025-11-03T16:35:14.2970843Z 
2025-11-03T16:35:14.2970967Z === Found 9 run-time warnings ===
2025-11-03T16:35:14.2971098Z --- Runtime Warning: 1 / 9 ---
2025-11-03T16:35:14.2971282Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1374) at 0x7f1ddd90bee0>
2025-11-03T16:35:14.2972188Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py:1392: 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:1971.)
2025-11-03T16:35:14.2972403Z       return super().refine_names(names)
2025-11-03T16:35:14.2972461Z     
2025-11-03T16:35:14.2972596Z --- Runtime Warning: 2 / 9 ---
2025-11-03T16:35:14.2972807Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 238) at 0x7f1ddf7249a0>
2025-11-03T16:35:14.2973239Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py:274: UserWarning: Warning only once for all operators,  other operators may also be overridden.
2025-11-03T16:35:14.2973454Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-11-03T16:35:14.2973595Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-11-03T16:35:14.2973806Z         registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2025-11-03T16:35:14.2973874Z       dispatch key: CPU
2025-11-03T16:35:14.2974167Z       previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-11-03T16:35:14.2974837Z            new kernel: registered at <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0>:1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:208.)
2025-11-03T16:35:14.2974955Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-11-03T16:35:14.2975012Z     
2025-11-03T16:35:14.2975136Z --- Runtime Warning: 3 / 9 ---
2025-11-03T16:35:14.2975310Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7f1ddd4dcfd0>
2025-11-03T16:35:14.2976611Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py:117: 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:178.)
2025-11-03T16:35:14.2976795Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-11-03T16:35:14.2976851Z     
2025-11-03T16:35:14.2976982Z --- Runtime Warning: 4 / 9 ---
2025-11-03T16:35:14.2977164Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7f1ddd661fc0>
2025-11-03T16:35:14.2978251Z     <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0>: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:53.)
2025-11-03T16:35:14.2978308Z     
2025-11-03T16:35:14.2978428Z --- Runtime Warning: 5 / 9 ---
2025-11-03T16:35:14.2978650Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1705) at 0x7f1ddd744880>
2025-11-03T16:35:14.2979672Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/const_fold.py:279: 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
2025-11-03T16:35:14.2979794Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-11-03T16:35:14.2979850Z     
2025-11-03T16:35:14.2979972Z --- Runtime Warning: 6 / 9 ---
2025-11-03T16:35:14.2980169Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 91) at 0x7f1ddd8acfa0>
2025-11-03T16:35:14.2980903Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: 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)
2025-11-03T16:35:14.2981074Z       self.encoder = TransformerEncoder(
2025-11-03T16:35:14.2981131Z     
2025-11-03T16:35:14.2981258Z --- Runtime Warning: 7 / 9 ---
2025-11-03T16:35:14.2981482Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 345) at 0x7f1ddd8ae530>
2025-11-03T16:35:14.2982295Z     <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0>:2: 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)
2025-11-03T16:35:14.2982353Z     
2025-11-03T16:35:14.2982479Z --- Runtime Warning: 8 / 9 ---
2025-11-03T16:35:14.2982668Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x7f1ddd7ae980>
2025-11-03T16:35:14.2983216Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-11-03T16:35:14.2983310Z       WeightNorm.apply(module, name, dim)
2025-11-03T16:35:14.2983366Z     
2025-11-03T16:35:14.2983488Z --- Runtime Warning: 9 / 9 ---
2025-11-03T16:35:14.2983696Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x7f1ddd7aead0>
2025-11-03T16:35:14.2984228Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-11-03T16:35:14.2984313Z       WeightNorm.apply(module, name, dim)
2025-11-03T16:35:14.2984369Z     
2025-11-03T16:35:14.2984577Z === 379 passed, 507 skipped, 26 warnings in 15.92 seconds ===
2025-11-03T16:35:14.2984730Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-11-03 16:35:14.267504]
2025-11-03T16:35:14.5911402Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-11-03T16:35:17.3259482Z   Preparing metadata (setup.py) ... [?25l- done
2025-11-03T16:35:17.3287642Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-11-03T16:35:17.3297392Z   DEPRECATION: Building 'torch_test_cpp_extension' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torch_test_cpp_extension'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-11-03T16:37:37.0812627Z   Building wheel for torch_test_cpp_extension (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
2025-11-03T16:37:37.0938154Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=16001300 sha256=5d2ecae83cac2ce2c306f02691cbafe0be0346cc2caa48e61d8204a65fa7e67d
2025-11-03T16:37:37.0940683Z   Stored in directory: /tmp/pip-ephem-wheel-cache-i7srwxmf/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-11-03T16:37:37.0956249Z Successfully built torch_test_cpp_extension
2025-11-03T16:37:37.4018119Z Installing collected packages: torch_test_cpp_extension
2025-11-03T16:37:37.6091835Z Successfully installed torch_test_cpp_extension-0.0.0
2025-11-03T16:37:37.9507648Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-11-03T16:37:39.5413795Z   Preparing metadata (setup.py) ... [?25l- done
2025-11-03T16:37:39.5440984Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-11-03T16:37:39.5450282Z   DEPRECATION: Building 'no_python_abi_suffix_test' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'no_python_abi_suffix_test'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-11-03T16:37:41.3797377Z   Building wheel for no_python_abi_suffix_test (setup.py) ... [?25l- \ | done
2025-11-03T16:37:41.3803458Z [?25h  Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2944 sha256=06caeb3aed3f6d696dc88149b2d134569652cbbc84c3dfa8937c95c2914f8fa6
2025-11-03T16:37:41.3805005Z   Stored in directory: /tmp/pip-ephem-wheel-cache-r5prp5da/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-11-03T16:37:41.3824393Z Successfully built no_python_abi_suffix_test
2025-11-03T16:37:41.6905327Z Installing collected packages: no_python_abi_suffix_test
2025-11-03T16:37:41.7030003Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-11-03T16:37:41.7938838Z * Getting build dependencies for wheel...
2025-11-03T16:37:43.0794976Z running egg_info
2025-11-03T16:37:43.0866689Z creating python_agnostic.egg-info
2025-11-03T16:37:43.0868267Z writing python_agnostic.egg-info/PKG-INFO
2025-11-03T16:37:43.0872492Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt
2025-11-03T16:37:43.0875375Z writing top-level names to python_agnostic.egg-info/top_level.txt
2025-11-03T16:37:43.0876515Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-11-03T16:37:43.1287446Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-11-03T16:37:43.1294817Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-11-03T16:37:43.4151133Z * Building wheel...
2025-11-03T16:37:44.7145164Z running bdist_wheel
2025-11-03T16:37:44.7693849Z running build
2025-11-03T16:37:44.7694609Z running build_ext
2025-11-03T16:37:44.7725740Z building 'python_agnostic._C' extension
2025-11-03T16:37:44.7728712Z creating /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc
2025-11-03T16:37:55.0980668Z [1/1] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o.d -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.cu -o /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H -DPy_LIMITED_API=0x030A0000 -DTORCH_EXTENSION_NAME=_C -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-11-03T16:37:55.1050293Z creating build/lib.linux-x86_64-cpython-310/python_agnostic
2025-11-03T16:37:55.1055102Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -pthread -B /opt/conda/envs/py_3.10/compiler_compat -shared /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so
2025-11-03T16:37:55.4321913Z installing to build/bdist.linux-x86_64/wheel
2025-11-03T16:37:55.4322643Z running install
2025-11-03T16:37:55.4360764Z running install_lib
2025-11-03T16:37:55.4430344Z creating build/bdist.linux-x86_64/wheel
2025-11-03T16:37:55.4432639Z creating build/bdist.linux-x86_64/wheel/python_agnostic
2025-11-03T16:37:55.4434203Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic
2025-11-03T16:37:55.4440327Z running install_egg_info
2025-11-03T16:37:55.4510817Z running egg_info
2025-11-03T16:37:55.4574061Z writing python_agnostic.egg-info/PKG-INFO
2025-11-03T16:37:55.4577885Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt
2025-11-03T16:37:55.4590873Z writing top-level names to python_agnostic.egg-info/top_level.txt
2025-11-03T16:37:55.4667945Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-11-03T16:37:55.4676737Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-11-03T16:37:55.4687818Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info
2025-11-03T16:37:55.4694578Z running install_scripts
2025-11-03T16:37:55.4805833Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL
2025-11-03T16:37:55.4809843Z creating '/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/dist/.tmp-wf4v8n8m/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
2025-11-03T16:37:55.4963113Z adding 'python_agnostic/_C.so'
2025-11-03T16:37:55.4969282Z adding 'python_agnostic-0.0.dist-info/METADATA'
2025-11-03T16:37:55.4970842Z adding 'python_agnostic-0.0.dist-info/WHEEL'
2025-11-03T16:37:55.4971889Z adding 'python_agnostic-0.0.dist-info/top_level.txt'
2025-11-03T16:37:55.4973727Z adding 'python_agnostic-0.0.dist-info/RECORD'
2025-11-03T16:37:55.4974333Z removing build/bdist.linux-x86_64/wheel
2025-11-03T16:37:55.7452220Z Successfully built python_agnostic-0.0-cp39-abi3-linux_x86_64.whl
2025-11-03T16:37:56.0517166Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension
2025-11-03T16:37:57.6465886Z   Preparing metadata (setup.py) ... [?25l- done
2025-11-03T16:37:57.6494882Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from libtorch_agnostic==0.0) (2.10.0a0+git3f6538f)
2025-11-03T16:37:57.6517047Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (3.18.0)
2025-11-03T16:37:57.6521674Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (4.12.2)
2025-11-03T16:37:57.6526163Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (1.13.3)
2025-11-03T16:37:57.6530186Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (2.8.8)
2025-11-03T16:37:57.6533601Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (3.1.6)
2025-11-03T16:37:57.6537872Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (2025.9.0)
2025-11-03T16:37:57.6863099Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch->libtorch_agnostic==0.0) (1.3.0)
2025-11-03T16:37:57.6913189Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->libtorch_agnostic==0.0) (3.0.3)
2025-11-03T16:37:57.6921813Z Building wheels for collected packages: libtorch_agnostic
2025-11-03T16:37:57.6931763Z   DEPRECATION: Building 'libtorch_agnostic' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'libtorch_agnostic'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-11-03T16:37:59.8016079Z   Building wheel for libtorch_agnostic (setup.py) ... [?25l- \ | done
2025-11-03T16:37:59.8022444Z [?25h  Created wheel for libtorch_agnostic: filename=libtorch_agnostic-0.0-cp39-abi3-linux_x86_64.whl size=36440 sha256=349f03ad23c2ec76109a7a373a0ba71302e1d8f5d0d6714f1fc61403882ac582
2025-11-03T16:37:59.8023654Z   Stored in directory: /tmp/pip-ephem-wheel-cache-66kbc6ht/wheels/63/3a/e5/f19e4f4f64f744c74df139450099cd572d2eb7710d6c958797
2025-11-03T16:37:59.8042016Z Successfully built libtorch_agnostic
2025-11-03T16:38:00.0746804Z Installing collected packages: libtorch_agnostic
2025-11-03T16:38:00.0887138Z Successfully installed libtorch_agnostic-0.0
2025-11-03T16:38:00.1334556Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:38:00.1338279Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:38:00.133558]
2025-11-03T16:38:03.5845304Z 
2025-11-03T16:38:03.5846226Z 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_f4c92df58684d18d_.log
2025-11-03T16:38:03.5853003Z Running 21 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_sycl_extension, 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_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, 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
2025-11-03T16:38:03.5857939Z 
2025-11-03T16:38:03.5858126Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-11-03 16:38:03.584884]
2025-11-03T16:38:03.8989916Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-11-03T16:38:06.6259619Z   Preparing metadata (setup.py) ... [?25l- done
2025-11-03T16:38:06.6286710Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-11-03T16:38:06.6296281Z   DEPRECATION: Building 'torch_test_cpp_extension' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torch_test_cpp_extension'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-11-03T16:40:38.1020686Z   Building wheel for torch_test_cpp_extension (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - done
2025-11-03T16:40:38.1128864Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=13131516 sha256=f4407abd3d303443306891eb880a3b79287424e7cfed3c3b192378783728b2d2
2025-11-03T16:40:38.1130989Z   Stored in directory: /tmp/pip-ephem-wheel-cache-7pwz8fcu/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-11-03T16:40:38.1147151Z Successfully built torch_test_cpp_extension
2025-11-03T16:40:38.4182392Z Installing collected packages: torch_test_cpp_extension
2025-11-03T16:40:38.5944422Z Successfully installed torch_test_cpp_extension-0.0.0
2025-11-03T16:40:38.9385635Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-11-03T16:40:40.5100463Z   Preparing metadata (setup.py) ... [?25l- done
2025-11-03T16:40:40.5128062Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-11-03T16:40:40.5138545Z   DEPRECATION: Building 'no_python_abi_suffix_test' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'no_python_abi_suffix_test'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-11-03T16:40:42.2959465Z   Building wheel for no_python_abi_suffix_test (setup.py) ... [?25l- \ done
2025-11-03T16:40:42.2965922Z [?25h  Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2944 sha256=bdfaa3f8232100c05a4e61ade6e00c476a2846bfae77879e0409040e97421409
2025-11-03T16:40:42.2967343Z   Stored in directory: /tmp/pip-ephem-wheel-cache-7kprqctt/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-11-03T16:40:42.2986180Z Successfully built no_python_abi_suffix_test
2025-11-03T16:40:42.6097652Z Installing collected packages: no_python_abi_suffix_test
2025-11-03T16:40:42.6212632Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-11-03T16:40:42.7107026Z * Getting build dependencies for wheel...
2025-11-03T16:40:43.9970521Z running egg_info
2025-11-03T16:40:44.0054564Z writing python_agnostic.egg-info/PKG-INFO
2025-11-03T16:40:44.0058269Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt
2025-11-03T16:40:44.0061202Z writing top-level names to python_agnostic.egg-info/top_level.txt
2025-11-03T16:40:44.0467378Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-11-03T16:40:44.0476296Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-11-03T16:40:44.3318966Z * Building wheel...
2025-11-03T16:40:45.6005157Z running bdist_wheel
2025-11-03T16:40:45.6541349Z running build
2025-11-03T16:40:45.6541717Z running build_ext
2025-11-03T16:40:45.6574192Z building 'python_agnostic._C' extension
2025-11-03T16:40:45.7214342Z ninja: no work to do.
2025-11-03T16:40:45.7250084Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -pthread -B /opt/conda/envs/py_3.10/compiler_compat -shared /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so
2025-11-03T16:40:46.0406554Z installing to build/bdist.linux-x86_64/wheel
2025-11-03T16:40:46.0406940Z running install
2025-11-03T16:40:46.0444018Z running install_lib
2025-11-03T16:40:46.0511423Z creating build/bdist.linux-x86_64/wheel
2025-11-03T16:40:46.0513103Z creating build/bdist.linux-x86_64/wheel/python_agnostic
2025-11-03T16:40:46.0514508Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic
2025-11-03T16:40:46.0519911Z running install_egg_info
2025-11-03T16:40:46.0588132Z running egg_info
2025-11-03T16:40:46.0649941Z writing python_agnostic.egg-info/PKG-INFO
2025-11-03T16:40:46.0653443Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt
2025-11-03T16:40:46.0656344Z writing top-level names to python_agnostic.egg-info/top_level.txt
2025-11-03T16:40:46.0722431Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-11-03T16:40:46.0730823Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-11-03T16:40:46.0732449Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info
2025-11-03T16:40:46.0739381Z running install_scripts
2025-11-03T16:40:46.0847558Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL
2025-11-03T16:40:46.0852497Z creating '/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/dist/.tmp-vru__pz9/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
2025-11-03T16:40:46.1004963Z adding 'python_agnostic/_C.so'
2025-11-03T16:40:46.1010314Z adding 'python_agnostic-0.0.dist-info/METADATA'
2025-11-03T16:40:46.1011357Z adding 'python_agnostic-0.0.dist-info/WHEEL'
2025-11-03T16:40:46.1012675Z adding 'python_agnostic-0.0.dist-info/top_level.txt'
2025-11-03T16:40:46.1014066Z adding 'python_agnostic-0.0.dist-info/RECORD'
2025-11-03T16:40:46.1014533Z removing build/bdist.linux-x86_64/wheel
2025-11-03T16:40:46.3504318Z Successfully built python_agnostic-0.0-cp39-abi3-linux_x86_64.whl
2025-11-03T16:40:46.6587157Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension
2025-11-03T16:40:48.2461056Z   Preparing metadata (setup.py) ... [?25l- done
2025-11-03T16:40:48.2490775Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from libtorch_agnostic==0.0) (2.10.0a0+git3f6538f)
2025-11-03T16:40:48.2513423Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (3.18.0)
2025-11-03T16:40:48.2518236Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (4.12.2)
2025-11-03T16:40:48.2522791Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (1.13.3)
2025-11-03T16:40:48.2527394Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (2.8.8)
2025-11-03T16:40:48.2530893Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (3.1.6)
2025-11-03T16:40:48.2535367Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic==0.0) (2025.9.0)
2025-11-03T16:40:48.2861343Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch->libtorch_agnostic==0.0) (1.3.0)
2025-11-03T16:40:48.2909829Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->libtorch_agnostic==0.0) (3.0.3)
2025-11-03T16:40:48.2918532Z Building wheels for collected packages: libtorch_agnostic
2025-11-03T16:40:48.2928541Z   DEPRECATION: Building 'libtorch_agnostic' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'libtorch_agnostic'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-11-03T16:40:50.2379331Z   Building wheel for libtorch_agnostic (setup.py) ... [?25l- \ done
2025-11-03T16:40:50.2385728Z [?25h  Created wheel for libtorch_agnostic: filename=libtorch_agnostic-0.0-cp39-abi3-linux_x86_64.whl size=36440 sha256=db78e8a411c1c495bb313fed6cc06377c64449311cbf358cb81d0a7e279f7944
2025-11-03T16:40:50.2386984Z   Stored in directory: /tmp/pip-ephem-wheel-cache-1jkie_zq/wheels/63/3a/e5/f19e4f4f64f744c74df139450099cd572d2eb7710d6c958797
2025-11-03T16:40:50.2406259Z Successfully built libtorch_agnostic
2025-11-03T16:40:50.5146512Z Installing collected packages: libtorch_agnostic
2025-11-03T16:40:50.5275192Z Successfully installed libtorch_agnostic-0.0
2025-11-03T16:40:50.5731314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:40:50.5735346Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:40:50.573209]
2025-11-03T16:40:54.0293200Z 
2025-11-03T16:40:54.0294163Z 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_7085b8d2c8e548a9_.log
2025-11-03T16:40:54.0301107Z Running 21 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_sycl_extension, 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_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, 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
2025-11-03T16:40:54.0306454Z 
2025-11-03T16:40:54.0306602Z Running test_openreg 1/1 ... [2025-11-03 16:40:54.029522]
2025-11-03T16:40:54.3264439Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg
2025-11-03T16:40:54.5950502Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-11-03T16:40:54.5977271Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch_openreg==0.0.1) (2.10.0a0+git3f6538f)
2025-11-03T16:40:54.5999955Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torch_openreg==0.0.1) (3.18.0)
2025-11-03T16:40:54.6004418Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torch_openreg==0.0.1) (4.12.2)
2025-11-03T16:40:54.6008536Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torch_openreg==0.0.1) (1.13.3)
2025-11-03T16:40:54.6012565Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torch_openreg==0.0.1) (2.8.8)
2025-11-03T16:40:54.6015575Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torch_openreg==0.0.1) (3.1.6)
2025-11-03T16:40:54.6019767Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torch_openreg==0.0.1) (2025.9.0)
2025-11-03T16:40:54.6345060Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch->torch_openreg==0.0.1) (1.3.0)
2025-11-03T16:40:54.6394262Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->torch_openreg==0.0.1) (3.0.3)
2025-11-03T16:40:54.6403001Z Building wheels for collected packages: torch_openreg
2025-11-03T16:41:17.3711862Z   Building wheel for torch_openreg (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ done
2025-11-03T16:41:17.3724118Z [?25h  Created wheel for torch_openreg: filename=torch_openreg-0.0.1-cp310-cp310-linux_x86_64.whl size=297179 sha256=f2f08da3e84651f0dd6c5ddd7135786d50470268bc58df0c36f5f9ad01451475
2025-11-03T16:41:17.3727057Z   Stored in directory: /tmp/pip-ephem-wheel-cache-oigbs9ac/wheels/e9/a1/32/60c410969a10b338a3eb521c03bfd0756d10d94353d3e779b4
2025-11-03T16:41:17.3747856Z Successfully built torch_openreg
2025-11-03T16:41:17.6558991Z Installing collected packages: torch_openreg
2025-11-03T16:41:17.6749822Z Successfully installed torch_openreg-0.0.1
2025-11-03T16:41:20.1396244Z test_autocast_default_dtype (test_autocast.TestAutocast) ... /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:1129: UserWarning: Set seed for `openreg` device does not take effect, please add API's `_is_in_bad_fork` and `manual_seed_all` to `openreg` device module.
2025-11-03T16:41:20.1397736Z   return fn(*args, **kwargs)
2025-11-03T16:41:20.1397995Z ok
2025-11-03T16:41:20.2423937Z test_autocast_fp32 (test_autocast.TestAutocast) ... ok
2025-11-03T16:41:20.2431743Z test_autocast_low_precision (test_autocast.TestAutocast) ... ok
2025-11-03T16:41:20.2442240Z test_autocast_operator_not_supported (test_autocast.TestAutocast) ... ok
2025-11-03T16:41:20.2446961Z test_autocast_set_dtype (test_autocast.TestAutocast) ... ok
2025-11-03T16:41:20.2489394Z test_autocast_with_unsupported_type (test_autocast.TestAutocast) ... ok
2025-11-03T16:41:20.2493985Z test_autograd_init (test_autograd.TestAutograd) ... /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:1129: UserWarning: Set seed for `openreg` device does not take effect, please add API's `_is_in_bad_fork` and `manual_seed_all` to `openreg` device module.
2025-11-03T16:41:20.2495561Z   return fn(*args, **kwargs)
2025-11-03T16:41:20.2513451Z ok
2025-11-03T16:41:20.2519855Z test_device_context (test_device.TestDevice) ... ok
2025-11-03T16:41:20.2523793Z test_device_count (test_device.TestDevice) ... ok
2025-11-03T16:41:20.2527740Z test_device_switch (test_device.TestDevice) ... ok
2025-11-03T16:41:20.2546717Z test_event_create (test_event.TestEvent) ... ok
2025-11-03T16:41:20.2551045Z test_event_elapsed_time (test_event.TestEvent) ... ok
2025-11-03T16:41:20.2554781Z test_event_query (test_event.TestEvent) ... ok
2025-11-03T16:41:20.2559984Z test_event_record (test_event.TestEvent) ... ok
2025-11-03T16:41:20.2573343Z test_event_wait_stream (test_event.TestEvent) ... ok
2025-11-03T16:41:20.2580440Z test_pin_memory (test_memory.TestPinMemory) ... /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/tests/test_memory.py:18: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2025-11-03T16:41:20.2582330Z   storage = tensor.storage()
2025-11-03T16:41:20.2583587Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py:370: DeprecationWarning: The argument 'device' of Tensor.is_pinned() is deprecated. Please do not pass this argument. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Memory.cpp:31.)
2025-11-03T16:41:20.2584876Z   .is_pinned(device)
2025-11-03T16:41:20.2585773Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py:389: DeprecationWarning: The argument 'device' of Tensor.pin_memory() is deprecated. Please do not pass this argument. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Memory.cpp:46.)
2025-11-03T16:41:20.2586674Z   .pin_memory(device)
2025-11-03T16:41:20.2587789Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py:389: DeprecationWarning: The argument 'device' of Tensor.is_pinned() is deprecated. Please do not pass this argument. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Memory.cpp:31.)
2025-11-03T16:41:20.2588942Z   .pin_memory(device)
2025-11-03T16:41:20.2589125Z ok
2025-11-03T16:41:20.2589359Z test_backend_module_function (test_misc.TestBackendModule) ... ok
2025-11-03T16:41:20.2593963Z test_backend_module_name (test_misc.TestBackendModule) ... ok
2025-11-03T16:41:20.2598826Z test_backend_module_registration (test_misc.TestBackendModule) ... ok
2025-11-03T16:41:20.2603089Z test_backend_generate_methods (test_misc.TestBackendProperty) ... ok
2025-11-03T16:41:20.2604168Z test_backend_module_methods (test_misc.TestBackendProperty) ... skipped 'Need to support Parameter in openreg'
2025-11-03T16:41:20.2609051Z test_backend_packed_sequence_methods (test_misc.TestBackendProperty) ... ok
2025-11-03T16:41:20.2609990Z test_backend_storage_methods (test_misc.TestBackendProperty) ... skipped 'Need to support untyped_storage in openreg'
2025-11-03T16:41:20.2614895Z test_backend_tensor_methods (test_misc.TestBackendProperty) ... ok
2025-11-03T16:41:20.2619737Z test_backend_tensor_type (test_misc.TestTensorType) ... ok
2025-11-03T16:41:20.2628323Z test_backend_type_methods (test_misc.TestTensorType) ... ok
2025-11-03T16:41:21.2162875Z test_compile_autograd_function_aliasing (test_ops.TestAutogradFunction) ... ok
2025-11-03T16:41:21.2166045Z test_compile_autograd_function_returns_self (test_ops.TestAutogradFunction) ... /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:1129: UserWarning: Set seed for `openreg` device does not take effect, please add API's `_is_in_bad_fork` and `manual_seed_all` to `openreg` device module.
2025-11-03T16:41:21.2167438Z   return fn(*args, **kwargs)
2025-11-03T16:41:21.2657188Z ok
2025-11-03T16:41:21.2661575Z test_copy_same_device (test_ops.TestCopy) ... /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:1129: UserWarning: Set seed for `openreg` device does not take effect, please add API's `_is_in_bad_fork` and `manual_seed_all` to `openreg` device module.
2025-11-03T16:41:21.2663136Z   return fn(*args, **kwargs)
2025-11-03T16:41:21.2671499Z ok
2025-11-03T16:41:21.2678646Z test_cross_device_copy (test_ops.TestCopy) ... ok
2025-11-03T16:41:21.2684921Z test_cross_diff_devices_copy (test_ops.TestCopy) ... ok
2025-11-03T16:41:21.2695766Z test_empty (test_ops.TestFactory) ... /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/tests/test_ops.py:23: 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:1971.)
2025-11-03T16:41:21.2697114Z   x = torch.empty([2, 3, 4, 5], device="openreg", names=["N", "C", "H", "W"])
2025-11-03T16:41:21.2714969Z ok
2025-11-03T16:41:21.2719829Z test_tensor (test_ops.TestFactory) ... ok
2025-11-03T16:41:21.2725333Z test_zeros (test_ops.TestFactory) ... ok
2025-11-03T16:41:21.2731039Z test_scalar_type_fallback (test_ops.TestFallback) ... ok
2025-11-03T16:41:21.2741335Z test_tensor_type_fallback (test_ops.TestFallback) ... ok
2025-11-03T16:41:21.2749847Z test_tensorlist_type_fallback (test_ops.TestFallback) ... ok
2025-11-03T16:41:21.2755856Z test_expand (test_ops.TestOps) ... ok
2025-11-03T16:41:21.2763509Z test_masked_select (test_ops.TestOps) ... ok
2025-11-03T16:41:21.2802824Z test_printing (test_ops.TestOps) ... tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
2025-11-03T16:41:21.2803624Z         1., 1.], device='openreg:0')
2025-11-03T16:41:21.2804069Z ok
2025-11-03T16:41:21.2807935Z test_resize (test_ops.TestOps) ... ok
2025-11-03T16:41:21.2816491Z test_quantize (test_ops.TestQuantization) ... ok
2025-11-03T16:41:21.2866796Z test_fused_sdp_choice_privateuseone (test_ops.TestSDPA) ... ok
2025-11-03T16:41:21.2913848Z test_scaled_dot_product_fused_attention_overrideable (test_ops.TestSDPA) ... ok
2025-11-03T16:41:21.2992499Z test_scaled_dot_product_fused_attention_overrideable_backward (test_ops.TestSDPA) ... ok
2025-11-03T16:41:21.3006387Z test_backend_dispatchstub (test_ops.TestSTUB) ... /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/tests/test_ops.py:113: UserWarning: An output with one or more elements was resized since it had shape [2, 2, 2], which does not match the required output shape [2, 2, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2025-11-03T16:41:21.3009689Z   torch.abs(x_cpu, out=o_cpu[:, :, 0:6:3])
2025-11-03T16:41:21.3012675Z /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/tests/test_ops.py:114: UserWarning: An output with one or more elements was resized since it had shape [2, 2, 2], which does not match the required output shape [2, 2, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2025-11-03T16:41:21.3015739Z   torch.abs(x_openreg, out=o_openreg[:, :, 0:6:3])
2025-11-03T16:41:21.3016154Z ok
2025-11-03T16:41:21.3016434Z test_generator (test_rng.TestRNG) ... ok
2025-11-03T16:41:21.3018901Z test_manual_seed (test_rng.TestRNG) ... ok
2025-11-03T16:41:21.3023286Z test_rng_state (test_rng.TestRNG) ... ok
2025-11-03T16:41:21.3065043Z test_open_device_cpu_serialization (test_storage.TestSerialization) ... ok
2025-11-03T16:41:21.3065842Z test_open_device_numpy_serialization (test_storage.TestSerialization)
2025-11-03T16:41:21.3067472Z This tests the legacy _rebuild_device_tensor_from_numpy serialization path ... skipped "versions < 1.25 serialize dtypes differently from how it's serialized in data_legacy_numpy"
2025-11-03T16:41:21.3090370Z test_serialization (test_storage.TestSerialization) ... ok
2025-11-03T16:41:21.3096917Z test_rewrapped_storage (test_storage.TestStorage) ... ok
2025-11-03T16:41:21.3102687Z test_stream_context (test_streams.TestStream) ... ok
2025-11-03T16:41:21.3109162Z test_stream_create (test_streams.TestStream) ... ok
2025-11-03T16:41:21.3113316Z test_stream_repr (test_streams.TestStream) ... ok
2025-11-03T16:41:21.3118472Z test_stream_switch (test_streams.TestStream) ... ok
2025-11-03T16:41:21.3123788Z test_stream_synchronize (test_streams.TestStream) ... ok
2025-11-03T16:41:21.3127973Z test_stream_wait_event (test_streams.TestStream) ... ok
2025-11-03T16:41:21.3132151Z test_stream_wait_stream (test_streams.TestStream) ... ok
2025-11-03T16:41:21.3138751Z test_open_device_dlpack (test_utils.TestDLPack) ... ok
2025-11-03T16:41:21.3139144Z 
2025-11-03T16:41:21.3139331Z ----------------------------------------------------------------------
2025-11-03T16:41:21.3139805Z Ran 61 tests in 1.180s
2025-11-03T16:41:21.3139994Z 
2025-11-03T16:41:21.3140108Z OK (skipped=3)
2025-11-03T16:41:22.0387050Z Running inductor/test_max_autotune 1/1 ... [2025-11-03 16:41:22.038303]
2025-11-03T16:41:22.0387513Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:41:22.0390518Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:41:22.038772]
2025-11-03T16:41:27.2958290Z 
2025-11-03T16:41:27.2959201Z 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_d42b9121a1908cef_.log
2025-11-03T16:41:27.2959870Z 
2025-11-03T16:41:27.2963310Z Running test_cpp_api_parity 1/1 ... [2025-11-03 16:41:27.296071]
2025-11-03T16:41:27.2963772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:41:27.2966913Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:41:27.296468]
2025-11-03T16:41:43.6390803Z 
2025-11-03T16:41:43.6392765Z 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_8ebf38b2783a9ba8_.log
2025-11-03T16:41:43.6523187Z 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, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated_cuda, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2, 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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
2025-11-03T16:41:43.6646105Z 
2025-11-03T16:41:43.6646284Z Running inductor/test_cutlass_backend 1/1 ... [2025-11-03 16:41:43.640246]
2025-11-03T16:41:43.6646626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:41:43.6647392Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 16:41:43.640640]
2025-11-03T16:41:48.8602912Z 
2025-11-03T16:41:48.8603983Z 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_31b3835770e26d66_.log
2025-11-03T16:41:48.8604708Z 
2025-11-03T16:41:48.8606661Z Running test_privateuseone_python_backend 1/1 ... [2025-11-03 16:41:48.860446]
2025-11-03T16:41:48.8607119Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:41:48.8610584Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_privateuseone_python_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'] ... [2025-11-03 16:41:48.860827]
2025-11-03T16:41:51.9306239Z 
2025-11-03T16:41:51.9307592Z test_privateuseone_python_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_privateuseone_python_backend_1.1_b097ca5fa16b4486_.log
2025-11-03T16:41:51.9309880Z Running 2 items in this shard: test/test_privateuseone_python_backend.py::PrivateUse1BackendTest::test_accessing_is_pinned, test/test_privateuseone_python_backend.py::PrivateUse1BackendTest::test_backend_simple
2025-11-03T16:41:51.9311723Z 
2025-11-03T16:41:51.9312234Z Running test_extension_utils 1/1 ... [2025-11-03 16:41:51.930972]
2025-11-03T16:41:51.9312533Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:41:51.9316098Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_extension_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'] ... [2025-11-03 16:41:51.931404]
2025-11-03T16:41:55.0013987Z 
2025-11-03T16:41:55.0014809Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_1466b72367e889c9_.log
2025-11-03T16:41:55.0016281Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend
2025-11-03T16:41:55.0017090Z 
2025-11-03T16:41:55.0017485Z Running inductor/test_flex_attention 1/5 ... [2025-11-03 16:41:55.001556]
2025-11-03T16:41:55.0017885Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:41:55.0021634Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 16:41:55.001934]
2025-11-03T16:52:51.6650436Z 
2025-11-03T16:52:51.6652994Z inductor/test_flex_attention 1/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.5_c7991f7dca065055_.log
2025-11-03T16:52:51.6709498Z Running 155 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_autograd_function_in_score_mod_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_dynamic_score_mask_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_buffers_all_dims_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_scale_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_score_mod_aot_eager_gradcheck_score_mod_name__head_offset_mode_aot_eager_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_causal_block_paged_attention_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_differentiable_logsumexp_compiled_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_differentiable_logsumexp_gradcheck_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_doc_mask_sparse_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_document_masking_edge_case_mode_aot_eager_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_document_masking_edge_case_mode_eager_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_dynamic_captured_buffer_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_dynamic_shapes_with_custom_kernel_options_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order4_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order2_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order2_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order1_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order3_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order0_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order0_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order2_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order4_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_force_write_lse_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_fw_bw_graph_correctness_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod7_cuda_float16, 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2025-11-03T16:52:51.6764701Z 
2025-11-03T16:52:51.9951981Z Uploading artifacts took 0.33 seconds
2025-11-03T16:52:51.9955347Z Running inductor/test_flex_attention 2/5 ... [2025-11-03 16:52:51.995323]
2025-11-03T16:52:51.9955772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T16:52:51.9959042Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 16:52:51.995642]
2025-11-03T17:02:31.7453695Z 
2025-11-03T17:02:31.7454645Z inductor/test_flex_attention 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_2.5_1ac73b2f978a7206_.log
2025-11-03T17:02:31.7510701Z Running 150 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod2_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cuda_float32, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda
2025-11-03T17:02:31.7562895Z 
2025-11-03T17:02:31.7563077Z Running inductor/test_flex_attention 3/5 ... [2025-11-03 17:02:31.745828]
2025-11-03T17:02:31.7563419Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:02:31.7564261Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 17:02:31.746197]
2025-11-03T17:12:30.1269145Z 
2025-11-03T17:12:30.1270064Z inductor/test_flex_attention 3/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_3.5_0886093d410c804b_.log
2025-11-03T17:12:30.1326628Z Running 153 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_causal_mask_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_block_mask_non_divisible_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_dynamic_score_mask_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_dynamic_score_mask_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_dynamic_score_mask_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod0_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod4_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod5_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod5_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod0_cuda_float16, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_global_tokens_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_multiplicative_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cuda
2025-11-03T17:12:30.1380146Z 
2025-11-03T17:12:30.1380316Z Running inductor/test_flex_attention 4/5 ... [2025-11-03 17:12:30.127411]
2025-11-03T17:12:30.1380642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:12:30.1381398Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=4', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 17:12:30.127774]
2025-11-03T17:23:18.1873838Z 
2025-11-03T17:23:18.1874864Z inductor/test_flex_attention 4/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_4.5_ca10c1547b9b937f_.log
2025-11-03T17:23:18.1939431Z Running 161 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod4_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cuda_float32, 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2025-11-03T17:23:18.1996063Z 
2025-11-03T17:23:18.5785846Z Uploading artifacts took 0.39 seconds
2025-11-03T17:23:18.5788980Z Running inductor/test_flex_attention 5/5 ... [2025-11-03 17:23:18.578695]
2025-11-03T17:23:18.5789403Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:23:18.5792271Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 17:23:18.578999]
2025-11-03T17:32:28.9201793Z 
2025-11-03T17:32:28.9202638Z inductor/test_flex_attention 5/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_5.5_21abc3fc91c211ba_.log
2025-11-03T17:32:28.9260899Z Running 137 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod3_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod5_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cuda_float32, 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2025-11-03T17:32:28.9309610Z 
2025-11-03T17:32:28.9309723Z Running test_fx 1/1 ... [2025-11-03 17:32:28.921138]
2025-11-03T17:32:28.9309989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:32:28.9310696Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:32:28.921529]
2025-11-03T17:35:27.0635178Z 
2025-11-03T17:35:27.0636132Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_9651a0dddcdb85cd_.log
2025-11-03T17:35:27.0998975Z Running 1273 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cuda, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cuda, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cuda, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cuda, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cuda, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cuda, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cuda, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cuda, 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::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_impure_random, 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_setitem, 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_do_not_fold_impure_subgraph, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_fold_pure_subgraph, 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::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::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::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::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::TestSourceMatcher::test_module_partitioner_weight_tied_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_True, 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::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_results, 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_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_does_not_leak, 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_print_graph, 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_return_type_exists_pre_pep585, 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_shape_prop_unbacked_sym, 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_typename_print_pre_pep585, 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_scaled_grouped_mm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_mm, 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::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_H_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_T_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___getitem___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___radd___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rdiv___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rmatmul___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rmod___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rmul___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rpow___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rsub___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__chunk_cat_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__softmax_backward_data_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_abs_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_acos_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_acosh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_add_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addbmm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addcdiv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addcmul_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addmm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addmm_decomposed_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addmv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_alias_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_all_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_allclose_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_amax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_amin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_aminmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_angle_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_any_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_arange_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_argmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_argmin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_argsort_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_argwhere_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_as_strided_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_as_strided_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_as_strided_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_asin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_asinh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atan2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atan_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atanh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atleast_1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atleast_2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atleast_3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_baddbmm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_bernoulli_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_bfloat16_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_block_diag_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_bmm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_bool_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_broadcast_shapes_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_broadcast_tensors_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_broadcast_to_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_bucketize_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_byte_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cartesian_prod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cat_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cauchy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cdist_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cdouble_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ceil_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cfloat_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_chalf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_char_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cholesky_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cholesky_inverse_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cholesky_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_chunk_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_clamp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_clamp_max_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_clamp_min_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_clone_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_column_stack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_combinations_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_complex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_conj_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_conj_physical_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_constant_pad_nd_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_contiguous_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_copysign_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_corrcoef_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cos_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cosh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_count_nonzero_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cov_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cross_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cummax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cummin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cumprod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cumsum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_deg2rad_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diag_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diag_embed_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diagflat_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diagonal_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diagonal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diagonal_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diff_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_digamma_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_dist_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_div_floor_rounding_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_dot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_double_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_dsplit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_dstack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_einsum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_empty_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_empty_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_empty_permuted_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_empty_strided_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_eq_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_equal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_erf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_erfc_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_erfinv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_exp2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_exp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_expand_as_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_expand_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_expand_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_expm1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_exponential_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_eye_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_fft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_fft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_fftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_fftshift_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_hfft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_hfft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_hfftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ifft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ifft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ifftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ifftshift_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ihfft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ihfft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ihfftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_irfft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_irfft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_irfftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_rfft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_rfft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_rfftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fill_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_flatten_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_flip_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fliplr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_flipud_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_float_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_float_power_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_floor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_floor_divide_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fmin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fmod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_frac_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_frexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_full_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_full_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_gather_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ge_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_geometric_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_geqrf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_gradient_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_grid_sampler_3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_gt_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_half_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_hash_tensor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_heaviside_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_histc_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_hsplit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_hstack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_hypot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_i0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_igamma_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_igammac_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_add_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_fill_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_put_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_reduce_amax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_reduce_amin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_reduce_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_reduce_prod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_select_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_inner_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_int_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isclose_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isfinite_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isinf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isnan_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isneginf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isposinf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isreal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_item_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_jiterator_binary_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_jiterator_unary_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_kron_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_kthvalue_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ldexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_le_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lerp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lgamma_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_cholesky_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_cond_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_cross_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_det_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_diagonal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_eig_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_eigh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_eigvals_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_householder_product_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_inv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lstsq_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_pinv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_qr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_slogdet_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_svd_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_svdvals_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_vander_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_vecdot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linspace_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log10_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log1p_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log_normal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log_softmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logaddexp2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logaddexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logcumsumexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logdet_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logical_and_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logical_not_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logical_or_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logical_xor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logspace_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logsumexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_long_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lt_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lu_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lu_unpack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mH_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mT_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_amax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_amin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_argmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_argmin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_cumprod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_cumsum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_fill_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_log_softmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_logaddexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_logsumexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_median_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_normalize_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_prod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_select_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_softmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_softmin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_std_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_sum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_var_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_matmul_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_matrix_exp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_max_binary_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_maximum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_median_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_min_binary_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_minimum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mode_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_movedim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_msort_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mul_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_multinomial_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nan_to_num_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nanmean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nanmedian_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nanquantile_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nansum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_narrow_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_narrow_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_native_batch_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_native_dropout_backward_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_native_layer_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ne_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_neg_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_new_empty_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_new_empty_strided_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_new_full_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_new_ones_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_new_zeros_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nextafter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_without_cudnn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_celu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_elu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_glu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_linear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_mish_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_relu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_selu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_silu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nonzero_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nonzero_static_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_norm_fro_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_norm_inf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_norm_nuc_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_normal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_normal_in_place_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_normal_number_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ones_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ones_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ormqr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_outer_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_pca_lowrank_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_permute_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_permute_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_pinverse_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polar_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_positive_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_pow_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_prod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_put_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_qr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_quantile_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_rad2deg_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_rand_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_randint_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_randint_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_randn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_randn_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ravel_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_real_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_reciprocal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_remainder_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_renorm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_repeat_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_repeat_interleave_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_reshape_as_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_reshape_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_resize__cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_resize_as__cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_resolve_conj_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_resolve_neg_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_roll_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_rot90_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_round_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_round_decimals_0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_round_decimals_3_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_rsqrt_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_rsub_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scalar_tensor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_add_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_searchsorted_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_select_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_select_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sgn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_short_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sigmoid_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sign_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_hann_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signbit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sinc_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sinh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_slice_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_slice_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_softmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sort_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_airy_ai_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_bessel_j0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_bessel_j1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_bessel_y0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_bessel_y1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_entr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_erfcx_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_i0e_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_i1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_i1e_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_log_ndtr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_ndtr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_ndtri_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_xlog1py_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_zeta_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_split_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_split_list_args_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_split_with_sizes_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sqrt_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_square_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_squeeze_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_squeeze_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_squeeze_multiple_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_stack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_std_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_std_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_std_unbiased_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_stft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sub_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sum_to_size_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_svd_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_svd_lowrank_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_t_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_t_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_take_along_dim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_take_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tan_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tanh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tensor_split_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tensordot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tile_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_to_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_to_sparse_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_topk_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_torch_ops_aten__efficient_attention_forward_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_trace_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_transpose_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_transpose_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_trapezoid_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_trapz_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_triangular_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tril_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_triu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_true_divide_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_trunc_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unbind_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unbind_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unflatten_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unfold_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unfold_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_uniform_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unique_consecutive_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unique_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unsafe_chunk_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unsafe_split_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unsqueeze_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unsqueeze_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_var_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_var_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_var_unbiased_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_vdot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_view_as_complex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_view_as_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_view_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_view_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_vsplit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_vstack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_where_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_xlogy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_zero__cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_zeros_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_zeros_like_cuda_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
2025-11-03T17:35:27.1334560Z 
2025-11-03T17:35:27.1334729Z Running test_show_pickle 1/1 ... [2025-11-03 17:35:27.065543]
2025-11-03T17:35:27.1335041Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:35:27.1335991Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:35:27.065932]
2025-11-03T17:35:30.1856328Z 
2025-11-03T17:35:30.1857483Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_df1b3389917a1af5_.log
2025-11-03T17:35:30.1858369Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model
2025-11-03T17:35:30.1858898Z 
2025-11-03T17:35:30.1859721Z Running test_utils 1/1 ... [2025-11-03 17:35:30.185775]
2025-11-03T17:35:30.1860290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:35:30.1864684Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:35:30.186187]
2025-11-03T17:35:57.6448783Z 
2025-11-03T17:35:57.6449793Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_475f4220898d0aa8_.log
2025-11-03T17:35:57.8411000Z Running 6010 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::TestCollectEnv::test_smoke, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_complex64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_int64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_or_cuda_bool, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bool_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bool_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bool_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_shapes_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bucketize_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bucketize_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bucketize_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bucketize_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bucketize_cuda_int16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cholesky_solve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cholesky_solve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cholesky_solve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cholesky_solve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_chunk_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_chunk_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_chunk_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_chunk_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_chunk_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_chunk_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_chunk_cuda_float32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_max_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_max_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft2_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_float32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frac_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frac_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frac_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frac_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frexp_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frexp_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frexp_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frexp_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_uint16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_uint32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_complex128, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hypot_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hypot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hypot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hypot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_mean_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_uint8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isinf_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isinf_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isinf_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isinf_cuda_complex32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigvalsh_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_householder_product_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_householder_product_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_householder_product_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_householder_product_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_float32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_int32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_strided_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_full_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_full_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_full_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_full_cuda_complex32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_ones_cuda_uint8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_zeros_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_zeros_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nextafter_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nextafter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nextafter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nextafter_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_alpha_dropout_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_alpha_dropout_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_alpha_dropout_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_alpha_dropout_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool1d_cuda_float32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_without_cudnn_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_without_cudnn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_without_cudnn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_without_cudnn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_bilinear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_bilinear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_bilinear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_bilinear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_celu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_celu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_celu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_celu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_similarity_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_similarity_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_similarity_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_similarity_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cross_entropy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cross_entropy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cross_entropy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cross_entropy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_ctc_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_ctc_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_elu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_elu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_elu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_elu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_bag_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_bag_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_bag_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_bag_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gaussian_nll_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gaussian_nll_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gaussian_nll_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gaussian_nll_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gelu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gelu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gelu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gelu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_glu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_glu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_glu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_glu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_grid_sample_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_grid_sample_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_grid_sample_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_grid_sample_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_group_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_group_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_group_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_group_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardshrink_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardshrink_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardshrink_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardshrink_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardsigmoid_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardsigmoid_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardsigmoid_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardsigmoid_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardswish_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardswish_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardswish_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardswish_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hinge_embedding_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hinge_embedding_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hinge_embedding_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hinge_embedding_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_huber_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_huber_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_huber_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_huber_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_instance_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_instance_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_instance_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_instance_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_area_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_area_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_area_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_area_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bicubic_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bicubic_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bicubic_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bicubic_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bilinear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bilinear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bilinear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bilinear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_linear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_linear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_linear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_linear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_trilinear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_trilinear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_trilinear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_trilinear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_kl_div_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_kl_div_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_kl_div_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_kl_div_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_layer_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_layer_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_layer_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_layer_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_leaky_relu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_leaky_relu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_leaky_relu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_leaky_relu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_local_response_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_local_response_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_local_response_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_local_response_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_logsigmoid_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_logsigmoid_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_logsigmoid_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_logsigmoid_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool1d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool1d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool1d_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_grad_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_grad_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_grad_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_grad_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mish_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mish_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mish_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mish_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mse_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mse_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mse_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mse_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_head_attention_forward_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_head_attention_forward_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_head_attention_forward_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_head_attention_forward_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_margin_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_margin_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_margin_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_margin_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_margin_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_margin_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_margin_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_margin_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_nll_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_nll_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_nll_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_nll_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_one_hot_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pdist_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pdist_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_prelu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_prelu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_prelu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_prelu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rrelu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rrelu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rrelu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rrelu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_selu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_selu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_selu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_selu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_complex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_complex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_smooth_l1_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_smooth_l1_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_smooth_l1_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_smooth_l1_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_soft_margin_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_soft_margin_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_soft_margin_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_soft_margin_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softplus_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softplus_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softplus_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softplus_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softshrink_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softshrink_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softshrink_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softshrink_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_bilinear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_bilinear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_bilinear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_bilinear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_nearest_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_nearest_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_nearest_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_nearest_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_nearest_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_uint8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_fro_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_fro_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_fro_cuda_complex64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_like_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_like_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_like_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_like_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_like_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_like_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_like_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ravel_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ravel_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ravel_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ravel_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ravel_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ravel_cuda_float16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_real_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_real_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_real_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_real_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_real_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_real_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_real_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_real_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reciprocal_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reciprocal_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reciprocal_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reciprocal_cuda_complex64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_cuda_complex64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_neg_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_0_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_0_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_0_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_3_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_3_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_3_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_3_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_neg_3_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_neg_3_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_neg_3_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_neg_3_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_uint8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_general_cosine_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_general_hamming_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_general_hamming_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_hamming_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_hamming_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_hann_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_hann_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_kaiser_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_kaiser_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_nuttall_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_nuttall_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_int32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_sampled_addmm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_sampled_addmm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_sampled_addmm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_sampled_addmm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_int64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_indices_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_indices_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_float32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_cuda_complex64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_complex_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_complex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_complex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_real_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_real_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_get_default_device_cuda, test/test_utils.py::TestDeviceUtilsCUDA::test_get_default_device_more_cuda, test/test_utils.py::TestDeviceUtilsCUDA::test_nn_module_cuda, test/test_utils.py::TestDeviceUtilsCUDA::test_set_default_device_cuda, 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, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing, test/test_utils.py::TestDeprecate::test_deprecated
2025-11-03T17:35:57.9814076Z 
2025-11-03T17:35:57.9814283Z Running test_tensorexpr 1/1 ... [2025-11-03 17:35:57.652020]
2025-11-03T17:35:57.9814610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:35:57.9815345Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:35:57.652425]
2025-11-03T17:36:26.0116608Z 
2025-11-03T17:36:26.0117694Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_e1e603ad818fee2d_.log
2025-11-03T17:36:26.0135237Z 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
2025-11-03T17:36:26.0148481Z 
2025-11-03T17:36:26.0148654Z Running test_namedtuple_return_api 1/1 ... [2025-11-03 17:36:26.011849]
2025-11-03T17:36:26.0148985Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:36:26.0149737Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:36:26.012219]
2025-11-03T17:36:30.2842705Z 
2025-11-03T17:36:30.2845069Z 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_e544313a4bea45a6_.log
2025-11-03T17:36:30.2847257Z 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
2025-11-03T17:36:30.2848524Z 
2025-11-03T17:36:30.2848854Z Running test_multiprocessing 1/1 ... [2025-11-03 17:36:30.284633]
2025-11-03T17:36:30.2849458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:36:30.2852978Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:36:30.285023]
2025-11-03T17:38:21.8016520Z 
2025-11-03T17:38:21.8017388Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_1b5e9f2d221d7bf2_.log
2025-11-03T17:38:21.8028660Z Running 42 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_rebuild_cuda_tensor, 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
2025-11-03T17:38:21.8038018Z 
2025-11-03T17:38:21.8038164Z Running test_dispatch 1/1 ... [2025-11-03 17:38:21.801788]
2025-11-03T17:38:21.8038443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:38:21.8039153Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:38:21.802151]
2025-11-03T17:38:43.4011810Z 
2025-11-03T17:38:43.4012636Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_5a68f5736ef7e742_.log
2025-11-03T17:38:43.4021381Z 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
2025-11-03T17:38:43.4027922Z 
2025-11-03T17:38:43.4028060Z Running test_jit_disabled 1/1 ... [2025-11-03 17:38:43.401588]
2025-11-03T17:38:43.4028352Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:38:43.4029082Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:38:43.402057]
2025-11-03T17:38:46.6223367Z 
2025-11-03T17:38:46.6224175Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_42f48f321c5264a7_.log
2025-11-03T17:38:46.6225609Z 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
2025-11-03T17:38:46.6226796Z 
2025-11-03T17:38:46.6226976Z Running test_fake_tensor 1/1 ... [2025-11-03 17:38:46.622452]
2025-11-03T17:38:46.6227352Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:38:46.6231098Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:38:46.622791]
2025-11-03T17:39:09.1733003Z 
2025-11-03T17:39:09.1733839Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_42fd3024127a7f88_.log
2025-11-03T17:39:09.1816757Z Running 288 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_conv_nhwc, 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_device, 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_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_fast_div_int_to_float, 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_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, 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_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, 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_op_with_zero_dim_bypassed, 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_unbind_copy_out, 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_conv_nhwc_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_device_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_fast_div_int_to_float_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_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_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_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_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_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_op_with_zero_dim_bypassed_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_unbind_copy_out_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::FakeTensorOpInfoTestCUDA::test_fake_NumpyCatCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyCubeCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyMulCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyMulScalarCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyNMSCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyNonzeroCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpySortCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpySplitCopyCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpySplitCopyWithIntCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyTakeCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyViewCopyCustomOp_cuda_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_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_move_meta_tensor, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_move_module_under_fake, 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_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_move_meta_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_move_module_under_fake_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_nan_to_num, test/test_fake_tensor.py::FakeTensorPropTest::test_nonzero_stride, 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_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_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__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, 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_empty_list, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type_cpu_only
2025-11-03T17:39:09.1890076Z 
2025-11-03T17:39:09.1890261Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-11-03 17:39:09.174246]
2025-11-03T17:39:09.1890599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:39:09.1891380Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:39:09.174682]
2025-11-03T17:39:11.9942321Z 
2025-11-03T17:39:11.9943514Z 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_e2180443ede0a118_.log
2025-11-03T17:39:11.9947006Z 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
2025-11-03T17:39:11.9949577Z 
2025-11-03T17:39:11.9949861Z Running test_autograd_fallback 1/1 ... [2025-11-03 17:39:11.994497]
2025-11-03T17:39:11.9950377Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:39:11.9951962Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:39:11.994950]
2025-11-03T17:39:15.2152590Z 
2025-11-03T17:39:15.2153557Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_7f87560e3d6b4e0c_.log
2025-11-03T17:39:15.2164744Z 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
2025-11-03T17:39:15.2173054Z 
2025-11-03T17:39:15.2173219Z Running test_python_dispatch 1/1 ... [2025-11-03 17:39:15.215524]
2025-11-03T17:39:15.2173521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:39:15.2174266Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:39:15.215918]
2025-11-03T17:39:21.5407022Z 
2025-11-03T17:39:21.5408114Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_6ffeaa0f89674373_.log
2025-11-03T17:39:21.5441265Z 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_dispatcher_error_filenames, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, 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_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_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, 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_once_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_dispatch_uint64, 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_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::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_cat_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_conv2d_cuda, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_fft_fft2_cuda, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_mul_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_native_batch_norm_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_out_op_cuda, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_split_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_split_list_args_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_view_cuda_float32
2025-11-03T17:39:21.5471082Z 
2025-11-03T17:39:21.5471278Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-11-03 17:39:21.540995]
2025-11-03T17:39:21.5471629Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:39:21.5472405Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:39:21.541358]
2025-11-03T17:39:24.3103874Z 
2025-11-03T17:39:24.3105223Z 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_b324ed1bd206dc95_.log
2025-11-03T17:39:24.3106454Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-11-03T17:39:24.3106963Z 
2025-11-03T17:39:24.3108033Z Running test_tensor_creation_ops 1/1 ... [2025-11-03 17:39:24.310601]
2025-11-03T17:39:24.3108689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:39:24.3112775Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:39:24.311007]
2025-11-03T17:40:43.3125533Z 
2025-11-03T17:40:43.3126680Z 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_a577364710a83bc9_.log
2025-11-03T17:40:43.3270875Z Running 533 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_device_vs_cpu_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_device_vs_cpu_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_device_vs_cpu_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_device_vs_cpu_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_inference_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_lowp_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_lowp_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_as_strided_neg_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_as_tensor_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_block_diag_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_block_diag_scipy_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cartesian_prod_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat2_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat2_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat2_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_all_dtypes_and_devices_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_big_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_channels_last_large_inputs_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_empty_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_empty_legacy_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_in_channels_last_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_large_tensor_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_mem_overlap_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_misaligned_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_multi_batch_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_channels_last_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_memory_format_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_preserve_channels_last_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_size1_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_stack_cross_devices_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_trailing_dim_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_combinations_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_complex_type_conversions_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_concat_empty_list_error_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_constructor_device_legacy_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_constructor_dtypes_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_ctor_with_numpy_array_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_device_rounding_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_device_rounding_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_device_rounding_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_diag_embed_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_diagflat_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dsplit_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dsplit_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dsplit_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_empty_full_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_empty_overflow_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_empty_strided_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_empty_tensor_props_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_eye_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_fill_all_dtypes_and_devices_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_from_file_shared_False_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_from_file_shared_True_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_full_inference_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_full_inference_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_full_inference_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_full_out_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hsplit_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hsplit_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hsplit_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_window_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_window_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_window_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_window_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_window_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_large_linspace_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_large_linspace_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linlogspace_mem_overlap_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_deduction_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_complex_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_integral_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_integral_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_integral_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_integral_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_integral_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_base2_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_base2_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_base2_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_deduction_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_device_vs_cpu_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_device_vs_cpu_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_device_vs_cpu_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_special_steps_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_special_steps_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_special_steps_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_vs_numpy_complex_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_vs_numpy_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_vs_numpy_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_default_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_empty_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_ij_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_ij_indexing_is_default_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_inconsistent_device_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_inconsistent_dtype_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_non_1d_tensor_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_unsupported_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_vs_numpy_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_warns_if_no_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_xy_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_new_empty_strided_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_new_methods_requires_grad_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_new_tensor_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_new_tensor_device_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_offset_scalar_cast_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_ones_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_bool_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_bool_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_range_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_range_factories_64bit_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_range_warning_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_repeat_interleave_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_roll_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_bartlett_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_bartlett_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_bartlett_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_bartlett_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_bartlett_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_blackman_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_blackman_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_blackman_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_blackman_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_blackman_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hamming_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hamming_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hamming_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hamming_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hamming_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hann_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hann_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hann_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hann_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hann_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_bartlett_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_bartlett_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_blackman_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_blackman_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_cosine_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_cosine_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_hamming_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_hamming_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_hann_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_hann_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_nuttall_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_nuttall_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_simple_scalar_cast_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_stack_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_stack_out_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_storage_filename_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_strided_mismatched_stride_shape_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_ctor_device_inference_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_device_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factories_empty_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factory_copy_var_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factory_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factory_gpu_type_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factory_gpu_type_inference_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factory_type_inference_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_from_non_writable_numpy_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_from_sequence_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_out_dtype_error_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_out_dtype_error_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_same_dtype_error_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_same_dtype_error_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_polar_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_polar_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_unpack_double_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_unpack_double_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vsplit_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vsplit_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vsplit_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_bounds_checking_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_out_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_normal_cuda_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_normal_cuda_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_normal_std_error_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_rand_cuda_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_rand_cuda_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_rand_cuda_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_rand_cuda_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_rand_cuda_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randint_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randint_distribution_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randint_inference_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_random_neg_values_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randperm_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randperm_device_compatibility_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randperm_large_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_uniform_from_to_cuda_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_uniform_from_to_cuda_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_uniform_from_to_cuda_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_uniform_from_to_cuda_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_empty_like_cuda, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_full_like_inference_cuda, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_ones_like_cuda, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_ones_like_multiple_device_cuda, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_zeros_like_cuda, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_zeros_like_multiple_device_cuda, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_uint16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_uint32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_uint64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_uint16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_uint32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_uint64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_astensor_consistency_cuda, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_uint16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_uint32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_uint64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_uint16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_uint32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_uint64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_default_device_cuda, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_device_without_index_cuda, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_numpy_scalars_cuda, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_retain_autograd_history_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_retain_autograd_history_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_unsupported_alias_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_unsupported_alias_mult_devices_cuda_float32
2025-11-03T17:40:43.3404042Z 
2025-11-03T17:40:43.3413875Z Running inductor/test_distributed_patterns 1/1 ... [2025-11-03 17:40:43.313777]
2025-11-03T17:40:43.3414549Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:40:43.3415428Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:40:43.314228]
2025-11-03T17:41:06.8713913Z 
2025-11-03T17:41:06.8715094Z 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_54723329b41a48a4_.log
2025-11-03T17:41:06.8722928Z 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
2025-11-03T17:41:06.8729419Z 
2025-11-03T17:41:06.8729564Z Running test_cuda_trace 1/1 ... [2025-11-03 17:41:06.871493]
2025-11-03T17:41:06.8729852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:41:06.8730618Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:41:06.871858]
2025-11-03T17:41:45.8219122Z 
2025-11-03T17:41:45.8220264Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_e55a57b7c6d1de5a_.log
2025-11-03T17:41:45.8224023Z Running 12 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_all_trace_callbacks_called, test/test_cuda_trace.py::TestCudaTrace::test_device_synchronization_callback, test/test_cuda_trace.py::TestCudaTrace::test_event_creation_callback, test/test_cuda_trace.py::TestCudaTrace::test_event_deletion_callback, test/test_cuda_trace.py::TestCudaTrace::test_event_record_callback, test/test_cuda_trace.py::TestCudaTrace::test_event_synchronization_callback, test/test_cuda_trace.py::TestCudaTrace::test_event_wait_callback, test/test_cuda_trace.py::TestCudaTrace::test_memcpy_synchronization, test/test_cuda_trace.py::TestCudaTrace::test_memory_allocation_callback, test/test_cuda_trace.py::TestCudaTrace::test_memory_deallocation_callback, test/test_cuda_trace.py::TestCudaTrace::test_stream_creation_callback, test/test_cuda_trace.py::TestCudaTrace::test_stream_synchronization_callback
2025-11-03T17:41:45.8227266Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_all_trace_callbacks_called
2025-11-03T17:41:45.8227836Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_device_synchronization_callback
2025-11-03T17:41:45.8228402Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_creation_callback
2025-11-03T17:41:45.8228916Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_deletion_callback
2025-11-03T17:41:45.8229611Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_record_callback
2025-11-03T17:41:45.8230158Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_synchronization_callback
2025-11-03T17:41:45.8230689Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_wait_callback
2025-11-03T17:41:45.8231209Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memcpy_synchronization
2025-11-03T17:41:45.8231728Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memory_allocation_callback
2025-11-03T17:41:45.8232262Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memory_deallocation_callback
2025-11-03T17:41:45.8232787Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_stream_creation_callback
2025-11-03T17:41:45.8233327Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_stream_synchronization_callback
2025-11-03T17:41:45.8233643Z 
2025-11-03T17:41:45.8233933Z Running test_autocast 1/1 ... [2025-11-03 17:41:45.822433]
2025-11-03T17:41:45.8234207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:41:45.8235112Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:41:45.822804]
2025-11-03T17:41:49.9946192Z 
2025-11-03T17:41:49.9946871Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_417ce9350466f970_.log
2025-11-03T17:41:49.9951508Z 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
2025-11-03T17:41:49.9955903Z 
2025-11-03T17:41:49.9956078Z Running test_cuda_nvml_based_avail 1/1 ... [2025-11-03 17:41:49.994784]
2025-11-03T17:41:49.9956626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:41:49.9957433Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:41:49.995154]
2025-11-03T17:42:18.8137833Z 
2025-11-03T17:42:18.8138799Z 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_e65f164f911c97bf_.log
2025-11-03T17:42:18.8143487Z Running 9 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init2, test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init_0, test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init_1, test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init2, test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init_0, test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init_1, test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_env_var_parsing, test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_ordinal_parse_visible_devices, test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_partial_uuid_resolver
2025-11-03T17:42:18.8147174Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init2
2025-11-03T17:42:18.8148078Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init_0
2025-11-03T17:42:18.8149473Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init_1
2025-11-03T17:42:18.8150463Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init2
2025-11-03T17:42:18.8151351Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init_0
2025-11-03T17:42:18.8152233Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init_1
2025-11-03T17:42:18.8153031Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_env_var_parsing
2025-11-03T17:42:18.8153779Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_ordinal_parse_visible_devices
2025-11-03T17:42:18.8154578Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_partial_uuid_resolver
2025-11-03T17:42:18.8154954Z 
2025-11-03T17:42:18.8155224Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-11-03 17:42:18.814086]
2025-11-03T17:42:18.8155600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:42:18.8156507Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_memory_efficient_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'] ... [2025-11-03 17:42:18.814429]
2025-11-03T17:42:25.2398121Z 
2025-11-03T17:42:25.2399161Z functorch/test_memory_efficient_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_memory_efficient_fusion_1.1_e3ea72d2bd90b890_.log
2025-11-03T17:42:25.2407388Z Running 22 items in this shard: test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_gelu_bias, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_hard_sigmoid, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_hard_swish, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_layer_norm, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_mish, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_rmsnorm, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_swish, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_empty, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_hash_with_numbers, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_nochange, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_rand_like, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_rand_n, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_immutable_list_multiple_entries, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_immutable_list_type, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_kwarg, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_nested_immutable_list_type, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_simple, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_simple_2, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_simple_multiple_same_ops, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_two_args, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_two_args_default, test/functorch/test_memory_efficient_fusion.py::RandomOpTestCase::test_random
2025-11-03T17:42:25.2413579Z 
2025-11-03T17:42:25.2413785Z Running dynamo/test_fake_distributed 1/1 ... [2025-11-03 17:42:25.239981]
2025-11-03T17:42:25.2414220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:42:25.2415132Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 17:42:25.240353]
2025-11-03T17:42:29.7623493Z 
2025-11-03T17:42:29.7624424Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_3cb46ecabb016dba_.log
2025-11-03T17:42:29.7626068Z Running 2 items in this shard: test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_all_to_all_single_autograd, test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_device_mesh_get_local_rank
2025-11-03T17:42:29.7626862Z 
2025-11-03T17:42:29.7627021Z Running test_torch 1/1 ... [2025-11-03 17:42:29.762455]
2025-11-03T17:42:29.7627374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:42:29.7630567Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:42:29.762823]
2025-11-03T17:43:46.0260701Z 
2025-11-03T17:43:46.0261458Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_971fa447d6d3a695_.log
2025-11-03T17:43:46.0469489Z Running 974 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_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, 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_conj_physical_meta_stride, 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, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, 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test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_qint32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_qint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_quint4x2, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_quint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_use_count_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_strides_propagation_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_sync_warning_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_empty_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_uint16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_uint32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_uint64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_set_errors_multigpu_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_shape_empty_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_type_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_ternary_op_mem_overlap_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_uniform_kstest_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_uniform_kstest_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_uniform_kstest_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_uniform_kstest_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_untyped_storage_meta_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_warn_always_caught_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_where_scalar_handcrafted_values_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_advancedindex_mixed_cpu_devices_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_advancedindex_mixed_devices_error_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_clamp_cuda_float32, test/test_torch.py::TestDevicePrecisionCUDA::test_clamp_cuda_float64, test/test_torch.py::TestDevicePrecisionCUDA::test_clamp_cuda_int64, test/test_torch.py::TestDevicePrecisionCUDA::test_copy_broadcast_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_copy_noncontig_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_cuda_device_idx_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_device_serialization_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_float16, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_float32, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_float64, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_int16, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_int32, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_int64, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_int8, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_uint8, test/test_torch.py::TestDevicePrecisionCUDA::test_index_add_bfloat16_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_multidevice_serialization_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_type_conversions_same_device_cuda
2025-11-03T17:43:46.0670674Z 
2025-11-03T17:43:46.4037493Z Uploading artifacts took 0.38 seconds
2025-11-03T17:43:46.4040745Z Running test_cpp_extensions_jit 1/1 ... [2025-11-03 17:43:46.403861]
2025-11-03T17:43:46.4041158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:43:46.4044635Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:43:46.404198]
2025-11-03T17:46:04.2956278Z 
2025-11-03T17:46:04.2959267Z 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_a2f0d1bb2e48b987_.log
2025-11-03T17:46:04.2969670Z Running 34 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, 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_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, 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_inline_jit_compile_extension_xpu, 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_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_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
2025-11-03T17:46:04.2978588Z 
2025-11-03T17:46:04.2978752Z Running test_sort_and_select 1/1 ... [2025-11-03 17:46:04.295824]
2025-11-03T17:46:04.2979050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:46:04.2979770Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:46:04.296216]
2025-11-03T17:46:11.0220400Z 
2025-11-03T17:46:11.0221765Z 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_f7259a3cecd5741a_.log
2025-11-03T17:46:11.0250037Z Running 111 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCUDA::test_complex_unsupported_cpu_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_dtypes_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_kthvalue_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_kthvalue_scalar_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_output_discontiguous_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_parallel_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_parallel_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_parallel_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_parallel_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_parallel_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_discontiguous_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_discontiguous_slow_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_expanded_tensor_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_large_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_large_slice_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_overflow_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_overflow_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_overflow_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_overflow_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_overflow_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_restride_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_stable_none_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_bool, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_bool, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_1d_output_discontiguous_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_4d_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_arguments_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_integral_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_integral_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_integral_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_integral_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_integral_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_lower_precision_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_lower_precision_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_noncontiguous_gpu_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_nonfinite_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_nonfinite_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_nonfinite_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_nonfinite_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_quantized_scalar_input_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_bool, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_bool, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_dim_cuda
2025-11-03T17:46:11.0275360Z 
2025-11-03T17:46:11.0275501Z Running test_native_mha 1/1 ... [2025-11-03 17:46:11.022380]
2025-11-03T17:46:11.0275784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:46:11.0276496Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:46:11.022783]
2025-11-03T17:46:15.1947294Z 
2025-11-03T17:46:15.1948346Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_414d5877cccfccc5_.log
2025-11-03T17:46:15.1977694Z Running 54 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_attention_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_attention_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_encoder_decoder_attention_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_encoder_decoder_attention_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_transform_bias_rescale_qkv_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_transform_bias_rescale_qkv_nested_cuda_float32
2025-11-03T17:46:15.2004636Z 
2025-11-03T17:46:15.2004785Z Running nn/test_convolution 1/1 ... [2025-11-03 17:46:15.195092]
2025-11-03T17:46:15.2005081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:46:15.2005809Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:46:15.195486]
2025-11-03T17:46:48.0173103Z 
2025-11-03T17:46:48.0176876Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_8d5d287914c71e43_.log
2025-11-03T17:46:48.0413100Z Running 612 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_conv3d_overflow_values, test/nn/test_convolution.py::TestConvolutionNN::test_conv_aten_invalid_groups, 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_huge_padding, 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::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_backward_depthwise_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_backward_depthwise_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_depthwise_naive_groups_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_depthwise_naive_groups_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_depthwise_naive_groups_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_size_1_kernel_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv3d_depthwise_naive_groups_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv3d_depthwise_naive_groups_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv3d_depthwise_naive_groups_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose2d_large_output_padding_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose2d_large_output_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose2d_size_1_kernel_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose3d_size_1_kernel_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_contig_wrong_stride_cudnn_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_same_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_same_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_valid_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_valid_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_no_grad_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_same_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_same_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_valid_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_valid_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_cudnn_broken_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_backward_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_backward_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_backward_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_backward_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_same_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_same_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_valid_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_valid_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_convTranspose_empty_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_transposed_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_transposed_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_transposed_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_transposed_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_transposed_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_transposed_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cudnn2d_transposed_has_bias_True_strided_True_contiguous_False_cuda, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel2d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_transposed_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow1d_transposed_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_contiguous_for_oneDNN_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_mismatch_memory_format_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_ndhwc_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_ndhwc_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_support_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_support_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_support_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_support_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_double_backward_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_double_backward_groups_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_double_backward_no_bias_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_double_backward_stride_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_double_backward_strided_with_3D_input_and_weight_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_empty_channel_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_empty_channel_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_ic1_channels_last_for_oneDNN_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_large_batch_1_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_large_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_large_nosplit_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_noncontig_weights_and_bias_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_noncontig_weights_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_thnn_nhwc_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_thnn_nhwc_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_transposed_large_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_convert_conv2d_weight_memory_format_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_convert_conv3d_weight_memory_format_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_cudnn_convolution_add_relu_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_cudnn_convolution_add_relu_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_cudnn_convolution_relu_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_cudnn_convolution_relu_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_depthwise_conv_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_group_convTranspose_empty_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_group_conv_empty_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_noncontig_conv_grad_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_noncontig_conv_grad_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_noncontig_conv_grad_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_noncontig_conv_grad_cuda_float64
2025-11-03T17:46:48.0642933Z 
2025-11-03T17:46:48.0643055Z Running test_nn 1/1 ... [2025-11-03 17:46:48.018693]
2025-11-03T17:46:48.0643315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:46:48.0644069Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:46:48.019049]
2025-11-03T17:49:36.3243519Z 
2025-11-03T17:49:36.3244409Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_6d2f569a39e62f79_.log
2025-11-03T17:49:36.4095424Z Running 2434 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda_fp32, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_groups_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_stride_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_groups_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_padding_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_strided_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_groups_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_stride_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda_fp32, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda_tf32, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda_fp32, test/test_nn.py::TestNN::test_Linear_no_bias_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda_fp32, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_fp32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda_fp32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_tf32, 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_backward_cl_cf_consistency_device_cuda_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cuda_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_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_mixed_float16, 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_bilinear_value_error, 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_input_checks, 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_large_max_pool2d_ch_last, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, 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_layer_norm_large_tensor, 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_autograd_device_cuda_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_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_allows_tensor_like_object, 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::TestNNDeviceTypeCUDA::test_BatchNorm_empty_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_Bilinear_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_cudnn_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_empty_target_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_GRU_grad_and_gradgrad_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_GroupNorm_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_GroupNorm_general_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_GroupNorm_memory_format_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_GroupNorm_numeric_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_GroupNorm_raises_error_if_one_value_per_group_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_InstanceNorm1d_general_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_InstanceNorm2d_general_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_InstanceNorm3d_general_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_LSTM_differentiable_backward_using_oneDNN_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_LSTM_differentiable_backward_using_oneDNN_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_LSTM_grad_and_gradgrad_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_LayerNorm_general_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_LayerNorm_numeric_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_LocalResponseNorm_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_MarginLoss_empty_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_MarginLoss_empty_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_MarginLoss_race_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_MarginLoss_race_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_MarginLoss_warnings_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad2d_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad2d_large_deterministic_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad3d_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad_empty_cuda_complex64, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad_empty_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad_fails_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReplicationPad1d_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReplicationPad2d_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReplicationPad3d_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReplicationPad_empty_cuda_complex128, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReplicationPad_empty_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_TransformerDecoderLayer_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_TransformerDecoder_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_TransformerEncoderLayer_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_TransformerEncoder_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_Transformer_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_Unfold_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_activations_bfloat16_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_activations_bfloat16_half_cpu_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_activations_bfloat16_half_cpu_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_adaptiveavg_pool1d_shmem_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_affine_2d_rotate0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_affine_2d_rotate45_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_affine_2d_rotate90_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_affine_2d_rotateRandom_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_affine_3d_rotateRandom_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_avg_pool_large_tensor2_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_avg_pool_large_tensor_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_affine_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_affine_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_affine_mixed_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_affine_mixed_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_eval_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_eval_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_eval_mixed_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_eval_mixed_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_grad_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_large_batch_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_large_batch_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_simple_average_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_simple_average_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_simple_average_mixed_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_simple_average_mixed_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_update_stats_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_channel_shuffle_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_error_if_nonfinite_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_False_norm_type_0_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_False_norm_type_1_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_False_norm_type_2_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_False_norm_type_4_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_False_norm_type_inf_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_True_norm_type_0_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_True_norm_type_1_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_True_norm_type_2_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_True_norm_type_4_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_True_norm_type_inf_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_multi_device_foreach_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_multi_device_foreach_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_value_foreach_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_value_foreach_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_conv_empty_input_cuda_complex128, test/test_nn.py::TestNNDeviceTypeCUDA::test_conv_empty_input_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_conv_empty_input_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_conv_empty_input_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_64bit_reduction_mean_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_64bit_reduction_none_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_64bit_reduction_sum_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_label_smoothing_errors_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_label_smoothing_weight_ignore_indices_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_label_smoothing_with_probs_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_large_tensor_reduction_mean_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_large_tensor_reduction_none_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_large_tensor_reduction_sum_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_2d_out_of_bounds_class_index_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_2d_out_of_bounds_class_index_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_index_target_unit_weights_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_one_hot_target_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_all_reductions_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_unit_weights_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ctc_loss_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ctc_loss_cudnn_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ctc_loss_cudnn_tensor_cuda_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ctc_loss_error_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cudnn_rnn_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_cudnn_rnn_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_device_mask_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_elu_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_elu_inplace_with_neg_alpha_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_fold_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_glu_bfloat16_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_bfloat16_precision_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_half_precision_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_large_index_2d_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_large_index_2d_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_large_index_3d_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_large_index_3d_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_nan_inf_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_nan_inf_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_groupnorm_nhwc_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_groupnorm_nhwc_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_groupnorm_nhwc_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_groupnorm_nhwc_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_gumbel_softmax_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_gumbel_softmax_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_gumbel_softmax_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardsigmoid_grad_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardswish_grad_corner_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardswish_grad_corner_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardswish_grad_corner_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardswish_grad_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardswish_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_for_single_spatial_element_during_training_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_invalid_reduction_strings_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_large_max_pool2d_ch_last_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_large_reflect_pad_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_layernorm_half_precision_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_layernorm_weight_bias_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_leaky_relu_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_leaky_relu_inplace_with_neg_slope_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_leaky_relu_inplace_with_zero_slope_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_linear_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_log_softmax_big_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_log_softmax_big_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_log_softmax_cpu_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_log_softmax_cpu_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_logsigmoid_out_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_lstmcell_backward_only_one_output_grad_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_TxT_layout_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_devices_parity_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_forward_with_nans_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_grad_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_lowp_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_lowp_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_mask_types_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_transformer_layout_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_mish_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_module_to_empty_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_module_to_empty_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_module_to_empty_non_recursive_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_mse_loss_error_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_1d_input_1d_target_invalid_size_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_all_ignored_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_byte_target_matches_long_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_empty_tensor_reduction_mean_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_empty_tensor_reduction_none_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_empty_tensor_reduction_sum_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_invalid_target_dim_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_invalid_weights_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_large_tensor_reduction_mean_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_large_tensor_reduction_none_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_large_tensor_reduction_sum_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_mismatched_batch_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_out_of_bounds_ignore_index_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_total_weight_is_zero_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nn_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nn_scalars_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nn_scalars_reductions_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nonlinearity_propagate_nan_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_one_hot_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_overwrite_module_params_on_conversion_cpu_device_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_pad_cuda_complex128, test/test_nn.py::TestNNDeviceTypeCUDA::test_pad_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_prelu_backward_32bit_indexing_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_replicatepad_64bit_indexing_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_epsilon_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_epsilon_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_epsilon_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_epsilon_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_numeric_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_numeric_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rnn_fused_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_rnn_fused_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_rnn_retain_variables_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rnn_retain_variables_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_rnn_retain_variables_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_rrelu_bounds_validation_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_save_lstm_compatibility_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_silu_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_skip_init_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_smooth_l1_loss_bfloat16_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_smooth_l1_loss_vs_huber_loss_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_smoothl1loss_backward_zero_beta_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_64bit_indexing_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_backward_64bit_indexing_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_backward_smem_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_backward_unaligned_grad_output_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_backward_unaligned_output_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_backward_without_fully_vectorized_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_bfloat16_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_cpu_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_cpu_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_double_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_forward_64bit_indexing_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_results_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_results_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_softplus_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softplus_low_threshold_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softshrink_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softshrink_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softshrink_negative_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_threshold_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_to_complex_cuda_complex128, test/test_nn.py::TestNNDeviceTypeCUDA::test_to_complex_cuda_complex64, test/test_nn.py::TestNNDeviceTypeCUDA::test_to_complex_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_fast_path_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_gelu_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_gelu_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_triplet_margin_with_distance_loss_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_triplet_margin_with_distance_loss_default_parity_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBicubic2d_aa_correctness_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBicubic2d_aa_correctness_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBicubic2d_correctness_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBilinear2d_aa_correctness_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBilinear2d_aa_correctness_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest1d_correctness_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest1d_correctness_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest1d_launch_config_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest1d_mode_nearest-exact_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest1d_mode_nearest_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_launch_config_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_launch_fail_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_launch_rocm_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_memory_format0_mode_nearest_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_memory_format1_mode_nearest_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_launch_config_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_memory_format0_mode_nearest_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_memory_format1_mode_nearest_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact1d_rescale_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsampling_64bit_indexing_channels_last_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsampling_64bit_indexing_channels_last_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingnearest2d_backward_64bit_indexing_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_variable_sequence_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_variable_sequence_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_variable_sequence_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_warp_softmax_64bit_indexing_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_warp_softmax_64bit_indexing_cuda_float32
2025-11-03T17:49:36.4905887Z 
2025-11-03T17:49:36.4906053Z Running nn/test_pooling 1/1 ... [2025-11-03 17:49:36.328740]
2025-11-03T17:49:36.4906347Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:49:36.4907069Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:49:36.329116]
2025-11-03T17:49:46.1107128Z 
2025-11-03T17:49:46.1107890Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_3c18b3ab17a5aa95_.log
2025-11-03T17:49:46.1148851Z Running 147 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::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool1d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool1d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool1d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool1d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool2d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool2d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool2d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool2d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool3d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool3d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool3d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool3d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool_zero_batch_dim_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AvgPool2d_empty_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AvgPool3d_backward_after_cat_dim1_device_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool2d_zero_batch_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool2d_zero_out_size_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool2d_zero_samples_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool3d_errors_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool3d_zero_batch_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool3d_zero_out_size_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool3d_zero_samples_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_LPPool1d_kernel_size_overflow_large_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool1d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool1d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool1d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool1d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool2d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool2d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool2d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool2d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool3d_errors_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool3d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool3d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool3d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool3d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool_zero_batch_dim_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case10_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case1_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case2_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case3_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case4_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case5_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case6_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case7_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case8_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case9_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_invalid_output_size_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_zero_batch_dim_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_avg_pool2d_output_size_one_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_avg_pool3d_output_size_one_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_avg_pooling_backward_fails_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_max_pooling_backward_fails_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pool_odd_size_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_empty_output_size_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_empty_output_size_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_empty_output_size_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_empty_output_size_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_max_nhwc_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_max_nhwc_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_no_suppot_input_cuda_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_no_suppot_input_cuda_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_no_suppot_input_cuda_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_no_suppot_input_cuda_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_no_suppot_input_cuda_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_zero_batch_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_zero_batch_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_avg_pool2d_nhwc_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_avg_pool2d_nhwc_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_avg_pool2d_nhwc_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_avg_pool2d_reduced_floating_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_avg_pool2d_reduced_floating_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool2d_backward_fails_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool2d_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool3d_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool_nan_inf_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool_nan_inf_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool_nan_inf_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool1d_corner_cases_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool1d_corner_cases_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool1d_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool1d_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_corner_cases_cuda_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_corner_cases_cuda_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_indices_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_nhwc_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_nhwc_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_nhwc_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_with_indices_backward_fails_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool3d_ndhwc_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool3d_ndhwc_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool3d_ndhwc_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool_bfloat16_half_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool_bfloat16_half_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool_nan_inf_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool_nan_inf_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool_nan_inf_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_unpool_invalid_indices_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_maxpool3d_non_square_backward_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_maxpool_indices_no_batch_dim_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_maxpool_indices_no_batch_dim_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_maxpool_indices_no_batch_dim_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_maxpool_indices_no_batch_dim_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool3d_large_size_int64_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool3d_size_one_feature_dim_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_invalid_size_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_invalid_size_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_invalid_size_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_invalid_size_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_large_size_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_large_size_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_large_size_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_large_size_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_bfloat16_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_large_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_max_nhwc_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_max_nhwc_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_avg_pooling_dims_1_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_avg_pooling_dims_2_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_avg_pooling_dims_3_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_max_pooling_dims_1_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_max_pooling_dims_2_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_max_pooling_dims_3_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_zero_stride_cuda
2025-11-03T17:49:46.1187020Z 
2025-11-03T17:49:46.1187197Z Running test_multiprocessing_spawn 1/1 ... [2025-11-03 17:49:46.111373]
2025-11-03T17:49:46.1187516Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:49:46.1188267Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:49:46.111825]
2025-11-03T17:52:02.0798263Z 
2025-11-03T17:52:02.0799185Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_cb51388516b73d38_.log
2025-11-03T17:52:02.0809636Z 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_20, 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_20, 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_20, 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
2025-11-03T17:52:02.0817957Z 
2025-11-03T17:52:02.0818134Z Running test_mobile_optimizer 1/1 ... [2025-11-03 17:52:02.079953]
2025-11-03T17:52:02.0818540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:52:02.0819371Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:52:02.080274]
2025-11-03T17:52:06.8528792Z 
2025-11-03T17:52:06.8529635Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_15f372e0674a70ea_.log
2025-11-03T17:52:06.8533098Z 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
2025-11-03T17:52:06.8535349Z 
2025-11-03T17:52:06.8535642Z Running test_cuda_primary_ctx 1/1 ... [2025-11-03 17:52:06.853058]
2025-11-03T17:52:06.8536021Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:52:06.8537181Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:52:06.853391]
2025-11-03T17:52:22.4473676Z 
2025-11-03T17:52:22.4474438Z 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_2d19e630a8a88cf6_.log
2025-11-03T17:52:22.4475767Z Running 4 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_copy, test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_pin_memory, test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_set_device_0, test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_str_repr
2025-11-03T17:52:22.4476825Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_copy
2025-11-03T17:52:22.4477327Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_pin_memory
2025-11-03T17:52:22.4477879Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_set_device_0
2025-11-03T17:52:22.4478826Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_str_repr
2025-11-03T17:52:22.4479119Z 
2025-11-03T17:52:22.4479388Z Running test_spectral_ops 1/1 ... [2025-11-03 17:52:22.447576]
2025-11-03T17:52:22.4479691Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:52:22.4480910Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:52:22.447907]
2025-11-03T17:52:43.6474910Z 
2025-11-03T17:52:43.6476126Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_853b6aa0b19d1aad_.log
2025-11-03T17:52:43.6556459Z Running 347 items in this shard: test/test_spectral_ops.py::TestFFTCUDA::test_batch_istft_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_complex_istft_real_equiv_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_definition_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_onesided_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_real_equiv_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_roundtrip_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_roundtrip_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_cufft_context_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_cufft_context_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_cufft_plan_cache_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fftn_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fftn_cuda_float32, 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2025-11-03T17:52:43.6634413Z 
2025-11-03T17:52:43.6634569Z Running test_reductions 1/1 ... [2025-11-03 17:52:43.648052]
2025-11-03T17:52:43.6634860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:52:43.6635597Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:52:43.648388]
2025-11-03T17:55:16.7080876Z 
2025-11-03T17:55:16.7081713Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_ca6a428061a43623_.log
2025-11-03T17:55:16.8304010Z Running 4757 items in this shard: test/test_reductions.py::TestReductionsCUDA::test_accreal_type_cuda, test/test_reductions.py::TestReductionsCUDA::test_all_any_cuda, test/test_reductions.py::TestReductionsCUDA::test_all_any_empty_cuda, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_all_any_with_dim_cuda, test/test_reductions.py::TestReductionsCUDA::test_all_issue117215_cuda, test/test_reductions.py::TestReductionsCUDA::test_amax_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_amax_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_amax_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_amax_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_amax_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_amin_amax_some_dims_cuda, test/test_reductions.py::TestReductionsCUDA::test_amin_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_amin_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_amin_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_amin_cuda_int32, 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test/test_reductions.py::TestReductionsCUDA::test_std_correction_vs_numpy_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_std_correction_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_std_correction_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_std_dim_cuda, test/test_reductions.py::TestReductionsCUDA::test_std_mean_all_dims_cuda, test/test_reductions.py::TestReductionsCUDA::test_std_mean_correction_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_std_mean_correction_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_std_mean_correction_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_std_mean_correction_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_std_mean_cuda, test/test_reductions.py::TestReductionsCUDA::test_std_mean_some_dims_cuda, test/test_reductions.py::TestReductionsCUDA::test_std_vs_numpy_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_std_vs_numpy_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_std_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_std_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_sum_all_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_sum_all_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_sum_cpu_device_mismatch_cuda, test/test_reductions.py::TestReductionsCUDA::test_sum_dim_cuda, test/test_reductions.py::TestReductionsCUDA::test_sum_dim_reduction_uint8_overflow_cuda, test/test_reductions.py::TestReductionsCUDA::test_sum_integer_upcast_cuda, test/test_reductions.py::TestReductionsCUDA::test_sum_noncontig_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_sum_noncontig_lowp_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_sum_noncontig_lowp_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_sum_out_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_sum_parallel_cuda, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cuda, test/test_reductions.py::TestReductionsCUDA::test_tensor_compare_ops_empty_cuda, test/test_reductions.py::TestReductionsCUDA::test_tensor_reduce_ops_empty_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_correction_vs_numpy_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_var_correction_vs_numpy_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_var_correction_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_var_correction_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_var_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_dim_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_large_input_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_mean_all_dims_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_mean_correction_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_var_mean_correction_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_var_mean_correction_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_var_mean_correction_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_var_mean_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_mean_some_dims_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_stability2_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_stability_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_unbiased_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_vs_numpy_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_var_vs_numpy_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_var_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_var_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_warn_invalid_degrees_of_freedom_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_warn_invalid_degrees_of_freedom_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_warn_invalid_degrees_of_freedom_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_warn_invalid_degrees_of_freedom_cuda_float64
2025-11-03T17:55:16.9480108Z 
2025-11-03T17:55:16.9480305Z Running test_autoload_disable 1/1 ... [2025-11-03 17:55:16.714048]
2025-11-03T17:55:17.0253925Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-11-03T17:55:19.7801181Z   Preparing metadata (setup.py) ... [?25l- done
2025-11-03T17:55:19.7828206Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-11-03T17:55:19.7838130Z   DEPRECATION: Building 'torch_test_cpp_extension' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torch_test_cpp_extension'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-11-03T17:56:33.3254219Z   Building wheel for torch_test_cpp_extension (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - done
2025-11-03T17:56:33.3370470Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=13131516 sha256=3d22e16f42e9bc777ffabc299d8bbbb3392ce94df0dac379ee719b1c05077c7b
2025-11-03T17:56:33.3373270Z   Stored in directory: /tmp/pip-ephem-wheel-cache-if1xgdau/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-11-03T17:56:33.3390092Z Successfully built torch_test_cpp_extension
2025-11-03T17:56:33.6539276Z Installing collected packages: torch_test_cpp_extension
2025-11-03T17:56:33.8357386Z Successfully installed torch_test_cpp_extension-0.0.0
2025-11-03T17:56:36.1066956Z 
2025-11-03T17:56:36.1067428Z Running tests...
2025-11-03T17:56:36.1068103Z ----------------------------------------------------------------------
2025-11-03T17:56:36.3876122Z .
2025-11-03T17:56:36.3876458Z ----------------------------------------------------------------------
2025-11-03T17:56:36.3876838Z Ran 1 test in 0.281s
2025-11-03T17:56:36.3876990Z 
2025-11-03T17:56:36.3877068Z OK
2025-11-03T17:56:36.3877172Z 
2025-11-03T17:56:36.3877277Z Generating XML reports...
2025-11-03T17:56:36.9675021Z Running test_autoload_enable 1/1 ... [2025-11-03 17:56:36.967081]
2025-11-03T17:56:37.2952600Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-11-03T17:56:40.0342442Z   Preparing metadata (setup.py) ... [?25l- done
2025-11-03T17:56:40.0368150Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-11-03T17:56:40.0377861Z   DEPRECATION: Building 'torch_test_cpp_extension' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torch_test_cpp_extension'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-11-03T17:57:53.6991315Z   Building wheel for torch_test_cpp_extension (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - done
2025-11-03T17:57:53.7108733Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=13131516 sha256=f7cc717b37f5a35815a58ec3199cda97b0acf0f8f5bc975461c25faba42f5216
2025-11-03T17:57:53.7111472Z   Stored in directory: /tmp/pip-ephem-wheel-cache-5q5edmf2/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-11-03T17:57:53.7129317Z Successfully built torch_test_cpp_extension
2025-11-03T17:57:54.0425103Z Installing collected packages: torch_test_cpp_extension
2025-11-03T17:57:54.2264654Z Successfully installed torch_test_cpp_extension-0.0.0
2025-11-03T17:57:56.5311784Z 
2025-11-03T17:57:56.5312235Z Running tests...
2025-11-03T17:57:56.5312606Z ----------------------------------------------------------------------
2025-11-03T17:57:56.8104405Z .
2025-11-03T17:57:56.8104720Z ----------------------------------------------------------------------
2025-11-03T17:57:56.8105108Z Ran 1 test in 0.279s
2025-11-03T17:57:56.8105272Z 
2025-11-03T17:57:56.8105347Z OK
2025-11-03T17:57:56.8105446Z 
2025-11-03T17:57:56.8105548Z Generating XML reports...
2025-11-03T17:57:57.3954527Z Running inductor/test_halide 1/1 ... [2025-11-03 17:57:57.395050]
2025-11-03T17:57:57.3955013Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:57:57.3957923Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.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'] ... [2025-11-03 17:57:57.395500]
2025-11-03T17:58:03.1425383Z 
2025-11-03T17:58:03.1426215Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_44a254f30aa319d2_.log
2025-11-03T17:58:03.1426837Z 
2025-11-03T17:58:03.1429458Z Running inductor/test_lookup_table 1/1 ... [2025-11-03 17:58:03.142737]
2025-11-03T17:58:03.1429869Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:03.1433794Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_lookup_table.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'] ... [2025-11-03 17:58:03.143137]
2025-11-03T17:58:08.3982140Z 
2025-11-03T17:58:08.3983019Z inductor/test_lookup_table 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_lookup_table_1.1_3cef9e10dbec4318_.log
2025-11-03T17:58:08.3983713Z 
2025-11-03T17:58:08.3986108Z Running inductor/test_autoheuristic 1/1 ... [2025-11-03 17:58:08.398410]
2025-11-03T17:58:08.3986538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:08.3989988Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.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'] ... [2025-11-03 17:58:08.398751]
2025-11-03T17:58:13.8235523Z 
2025-11-03T17:58:13.8236416Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_35bf0864aa25bcbe_.log
2025-11-03T17:58:13.8237547Z Running 0 items in this shard:
2025-11-03T17:58:13.8237870Z 
2025-11-03T17:58:13.8239520Z Running test_jiterator 1/1 ... [2025-11-03 17:58:13.823734]
2025-11-03T17:58:13.8239920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:13.8242858Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.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'] ... [2025-11-03 17:58:13.824058]
2025-11-03T17:58:17.1942005Z 
2025-11-03T17:58:17.1942817Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_e04328fd8c224b37_.log
2025-11-03T17:58:17.1943502Z Running 0 items in this shard:
2025-11-03T17:58:17.1943682Z 
2025-11-03T17:58:17.1944825Z Running test_nestedtensor 2/3 ... [2025-11-03 17:58:17.194285]
2025-11-03T17:58:17.1945236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:17.1948777Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 17:58:17.194649]
2025-11-03T17:58:22.1177758Z 
2025-11-03T17:58:22.1178720Z test_nestedtensor 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_2.3_3090430966c31109_.log
2025-11-03T17:58:22.1179415Z Running 0 items in this shard:
2025-11-03T17:58:22.1179588Z 
2025-11-03T17:58:22.1182072Z Running test_ops_fwd_gradients 2/2 ... [2025-11-03 17:58:22.117967]
2025-11-03T17:58:22.1182489Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:22.1185867Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.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'] ... [2025-11-03 17:58:22.118323]
2025-11-03T17:58:26.8911665Z 
2025-11-03T17:58:26.8912710Z test_ops_fwd_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_2.2_4e4e041353abc9e5_.log
2025-11-03T17:58:26.8913475Z Running 0 items in this shard:
2025-11-03T17:58:26.8913653Z 
2025-11-03T17:58:26.8915258Z Running inductor/test_snode_runtime 1/1 ... [2025-11-03 17:58:26.891282]
2025-11-03T17:58:26.8915667Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:26.8919395Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:58:26.891671]
2025-11-03T17:58:32.3154506Z 
2025-11-03T17:58:32.3155421Z 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_b90dc871fe259adf_.log
2025-11-03T17:58:32.3156261Z Running 0 items in this shard:
2025-11-03T17:58:32.3156451Z 
2025-11-03T17:58:32.3158111Z Running dynamo/test_modes 1/1 ... [2025-11-03 17:58:32.315595]
2025-11-03T17:58:32.3158505Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:32.3161943Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:58:32.315983]
2025-11-03T17:58:37.7402701Z 
2025-11-03T17:58:37.7403915Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_4491b1b0230323f2_.log
2025-11-03T17:58:37.7404601Z Running 0 items in this shard:
2025-11-03T17:58:37.7404775Z 
2025-11-03T17:58:37.7407333Z Running dynamo/test_sets 1/1 ... [2025-11-03 17:58:37.740528]
2025-11-03T17:58:37.7408016Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:37.7411590Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sets.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'] ... [2025-11-03 17:58:37.740900]
2025-11-03T17:58:40.8607309Z 
2025-11-03T17:58:40.8608116Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_5e5f6b6a36e6b5d1_.log
2025-11-03T17:58:40.8608802Z Running 0 items in this shard:
2025-11-03T17:58:40.8608978Z 
2025-11-03T17:58:40.8611306Z Running nn/test_multihead_attention 1/1 ... [2025-11-03 17:58:40.860891]
2025-11-03T17:58:40.8611731Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:40.8615242Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:58:40.861280]
2025-11-03T17:58:44.1317847Z 
2025-11-03T17:58:44.1319152Z 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_4e421b55a701c5bb_.log
2025-11-03T17:58:44.1320445Z Running 0 items in this shard:
2025-11-03T17:58:44.1320746Z 
2025-11-03T17:58:44.1322256Z Running dynamo/test_sources 1/1 ... [2025-11-03 17:58:44.131981]
2025-11-03T17:58:44.1322834Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:44.1327612Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:58:44.132470]
2025-11-03T17:58:46.9020184Z 
2025-11-03T17:58:46.9021060Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_30093de4ff92d402_.log
2025-11-03T17:58:46.9023438Z Running 0 items in this shard:
2025-11-03T17:58:46.9023753Z 
2025-11-03T17:58:46.9024149Z Running dynamo/test_flat_apply 1/1 ... [2025-11-03 17:58:46.902169]
2025-11-03T17:58:46.9024709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:46.9028189Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_flat_apply.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'] ... [2025-11-03 17:58:46.902576]
2025-11-03T17:58:49.9721027Z 
2025-11-03T17:58:49.9721937Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_2152b9317ef5bf74_.log
2025-11-03T17:58:49.9722674Z Running 0 items in this shard:
2025-11-03T17:58:49.9722888Z 
2025-11-03T17:58:49.9724795Z Running test_numpy_interop 1/1 ... [2025-11-03 17:58:49.972262]
2025-11-03T17:58:49.9725193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:49.9728728Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:58:49.972660]
2025-11-03T17:58:53.2930745Z 
2025-11-03T17:58:53.2931749Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_0ef98f475f527245_.log
2025-11-03T17:58:53.2932677Z Running 0 items in this shard:
2025-11-03T17:58:53.2932893Z 
2025-11-03T17:58:53.2935349Z Running test_ops_jit 1/2 ... [2025-11-03 17:58:53.293311]
2025-11-03T17:58:53.2935826Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:53.2940489Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:58:53.293743]
2025-11-03T17:58:57.6160703Z 
2025-11-03T17:58:57.6161515Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_d2d813bd613db383_.log
2025-11-03T17:58:57.6162161Z Running 0 items in this shard:
2025-11-03T17:58:57.6162340Z 
2025-11-03T17:58:57.6165058Z Running test_ops_jit 2/2 ... [2025-11-03 17:58:57.616277]
2025-11-03T17:58:57.6165437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:58:57.6171619Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.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'] ... [2025-11-03 17:58:57.616682]
2025-11-03T17:59:01.9386754Z 
2025-11-03T17:59:01.9387710Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_6db17ab37046d805_.log
2025-11-03T17:59:01.9388578Z Running 0 items in this shard:
2025-11-03T17:59:01.9388808Z 
2025-11-03T17:59:01.9391816Z Running inductor/test_layout_optim 1/1 ... [2025-11-03 17:59:01.938923]
2025-11-03T17:59:01.9392376Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:01.9396399Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_layout_optim.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'] ... [2025-11-03 17:59:01.939344]
2025-11-03T17:59:07.3113082Z 
2025-11-03T17:59:07.3113968Z inductor/test_layout_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_layout_optim_1.1_e426986519c68916_.log
2025-11-03T17:59:07.3114770Z Running 0 items in this shard:
2025-11-03T17:59:07.3114966Z 
2025-11-03T17:59:07.3117657Z Running inductor/test_control_flow 2/5 ... [2025-11-03 17:59:07.311569]
2025-11-03T17:59:07.3118387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:07.3122436Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'serial', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 17:59:07.311983]
2025-11-03T17:59:12.8862677Z 
2025-11-03T17:59:12.8863937Z inductor/test_control_flow 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_2.5_ce9c99b060319b50_.log
2025-11-03T17:59:12.8865351Z Running 0 items in this shard:
2025-11-03T17:59:12.8865628Z 
2025-11-03T17:59:12.8867473Z Running optim/test_optim 1/1 ... [2025-11-03 17:59:12.886557]
2025-11-03T17:59:12.8868028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:12.8872239Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_optim.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'] ... [2025-11-03 17:59:12.886983]
2025-11-03T17:59:15.5743479Z 
2025-11-03T17:59:15.5744282Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_f10f39c60c9220d6_.log
2025-11-03T17:59:15.5744867Z 
2025-11-03T17:59:15.5747625Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-11-03 17:59:15.574565]
2025-11-03T17:59:15.5748013Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:15.5751541Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.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'] ... [2025-11-03 17:59:15.574941]
2025-11-03T17:59:18.3948506Z 
2025-11-03T17:59:18.3949958Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_2290d802e2cc4c69_.log
2025-11-03T17:59:18.3951097Z Running 0 items in this shard:
2025-11-03T17:59:18.3951299Z 
2025-11-03T17:59:18.3952534Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-11-03 17:59:18.395011]
2025-11-03T17:59:18.3952984Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:18.3956477Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:59:18.395377]
2025-11-03T17:59:21.2151270Z 
2025-11-03T17:59:21.2152316Z 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_3d62483ad2c5522e_.log
2025-11-03T17:59:21.2153220Z Running 0 items in this shard:
2025-11-03T17:59:21.2153430Z 
2025-11-03T17:59:21.2154927Z Running nn/test_init 1/1 ... [2025-11-03 17:59:21.215283]
2025-11-03T17:59:21.2155370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:21.2159517Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 17:59:21.215729]
2025-11-03T17:59:24.2859300Z 
2025-11-03T17:59:24.2860240Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_060c0a9446906d4d_.log
2025-11-03T17:59:24.2860918Z Running 0 items in this shard:
2025-11-03T17:59:24.2861100Z 
2025-11-03T17:59:24.2863408Z Running test_function_schema 1/1 ... [2025-11-03 17:59:24.286131]
2025-11-03T17:59:24.2863953Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:24.2868031Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_function_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'] ... [2025-11-03 17:59:24.286509]
2025-11-03T17:59:27.1561493Z 
2025-11-03T17:59:27.1562455Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_46004eee29a540f9_.log
2025-11-03T17:59:27.1563183Z Running 0 items in this shard:
2025-11-03T17:59:27.1563361Z 
2025-11-03T17:59:27.1565401Z Running test_cuda_multigpu 1/1 ... [2025-11-03 17:59:27.156327]
2025-11-03T17:59:27.1565902Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:27.1570124Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.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'] ... [2025-11-03 17:59:27.156716]
2025-11-03T17:59:30.8279759Z 
2025-11-03T17:59:30.8281378Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_106f58bfc5ca63f5_.log
2025-11-03T17:59:30.8282460Z Running 1 items in this shard: test/test_cuda_multigpu.py::TestCudaMultiGPU::test_memory_stats
2025-11-03T17:59:30.8282850Z 
2025-11-03T17:59:30.8284806Z Running test_jit_autocast 1/1 ... [2025-11-03 17:59:30.828252]
2025-11-03T17:59:30.8285275Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:30.8288889Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:59:30.828642]
2025-11-03T17:59:35.8016186Z 
2025-11-03T17:59:35.8017347Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_3852012c13aff45d_.log
2025-11-03T17:59:35.8018198Z Running 0 items in this shard:
2025-11-03T17:59:35.8018388Z 
2025-11-03T17:59:35.8020215Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-11-03 17:59:35.801796]
2025-11-03T17:59:35.8020718Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:35.8024207Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.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'] ... [2025-11-03 17:59:35.802181]
2025-11-03T17:59:38.6214503Z 
2025-11-03T17:59:38.6215563Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_d07cf65393a91e24_.log
2025-11-03T17:59:38.6216463Z Running 0 items in this shard:
2025-11-03T17:59:38.6216632Z 
2025-11-03T17:59:38.6218910Z Running dynamo/test_python_autograd 1/1 ... [2025-11-03 17:59:38.621652]
2025-11-03T17:59:38.6219360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:38.6222802Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 17:59:38.622047]
2025-11-03T17:59:41.6919637Z 
2025-11-03T17:59:41.6920586Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_8eb737120eb98df2_.log
2025-11-03T17:59:41.6921377Z Running 0 items in this shard:
2025-11-03T17:59:41.6921563Z 
2025-11-03T17:59:41.6923356Z Running test_functional_autograd_benchmark 1/1 ... [2025-11-03 17:59:41.692125]
2025-11-03T17:59:41.6923966Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:41.6927662Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_autograd_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'] ... [2025-11-03 17:59:41.692520]
2025-11-03T17:59:44.5120182Z 
2025-11-03T17:59:44.5121151Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_1da12e1d56794ed2_.log
2025-11-03T17:59:44.5121995Z Running 0 items in this shard:
2025-11-03T17:59:44.5122198Z 
2025-11-03T17:59:44.5124095Z Running test_sparse 1/1 ... [2025-11-03 17:59:44.512181]
2025-11-03T17:59:44.5124458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:44.5128128Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse.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'] ... [2025-11-03 17:59:44.512582]
2025-11-03T17:59:49.3853631Z 
2025-11-03T17:59:49.3854540Z test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_1.1_ea6f733d90d0f698_.log
2025-11-03T17:59:49.3855225Z Running 0 items in this shard:
2025-11-03T17:59:49.3855411Z 
2025-11-03T17:59:49.3858163Z Running test_type_promotion 1/1 ... [2025-11-03 17:59:49.385562]
2025-11-03T17:59:49.3858557Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:49.3862257Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:59:49.385970]
2025-11-03T17:59:52.8066538Z 
2025-11-03T17:59:52.8068261Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_97d4e80f49d6c59a_.log
2025-11-03T17:59:52.8069592Z Running 0 items in this shard:
2025-11-03T17:59:52.8069840Z 
2025-11-03T17:59:52.8072221Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-11-03 17:59:52.806994]
2025-11-03T17:59:52.8072610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:52.8076287Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.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'] ... [2025-11-03 17:59:52.807392]
2025-11-03T17:59:55.6268613Z 
2025-11-03T17:59:55.6269644Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_2d278854188d6694_.log
2025-11-03T17:59:55.6270529Z Running 0 items in this shard:
2025-11-03T17:59:55.6270731Z 
2025-11-03T17:59:55.6273060Z Running test_dlpack 1/1 ... [2025-11-03 17:59:55.627087]
2025-11-03T17:59:55.6273466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:55.6277204Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 17:59:55.627480]
2025-11-03T17:59:58.9478964Z 
2025-11-03T17:59:58.9480439Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_eed65619745eef4f_.log
2025-11-03T17:59:58.9481520Z Running 0 items in this shard:
2025-11-03T17:59:58.9481709Z 
2025-11-03T17:59:58.9484051Z Running profiler/test_torch_tidy 1/1 ... [2025-11-03 17:59:58.948169]
2025-11-03T17:59:58.9484508Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T17:59:58.9488604Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_torch_tidy.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'] ... [2025-11-03 17:59:58.948576]
2025-11-03T18:00:01.7683195Z 
2025-11-03T18:00:01.7684470Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_7260e26d19bb8117_.log
2025-11-03T18:00:01.7685279Z Running 0 items in this shard:
2025-11-03T18:00:01.7685463Z 
2025-11-03T18:00:01.7687485Z Running torch_np/test_reductions 1/1 ... [2025-11-03 18:00:01.768522]
2025-11-03T18:00:01.7687898Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:01.7691588Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_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'] ... [2025-11-03 18:00:01.768922]
2025-11-03T18:00:04.7885831Z 
2025-11-03T18:00:04.7886796Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_0d2e902602118b64_.log
2025-11-03T18:00:04.7887575Z Running 0 items in this shard:
2025-11-03T18:00:04.7887743Z 
2025-11-03T18:00:04.7889598Z Running lazy/test_reuse_ir 1/1 ... [2025-11-03 18:00:04.788724]
2025-11-03T18:00:04.7890018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:04.7893577Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_reuse_ir.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'] ... [2025-11-03 18:00:04.789116]
2025-11-03T18:00:07.6084817Z 
2025-11-03T18:00:07.6085819Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_5e9e14a75e2c65d2_.log
2025-11-03T18:00:07.6087068Z Running 0 items in this shard:
2025-11-03T18:00:07.6087300Z 
2025-11-03T18:00:07.6089959Z Running test_prims 1/1 ... [2025-11-03 18:00:07.608771]
2025-11-03T18:00:07.6090598Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:07.6094925Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_prims.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'] ... [2025-11-03 18:00:07.609208]
2025-11-03T18:00:11.8313811Z 
2025-11-03T18:00:11.8315284Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_2f3b33ea528091a5_.log
2025-11-03T18:00:11.8316205Z Running 0 items in this shard:
2025-11-03T18:00:11.8316354Z 
2025-11-03T18:00:11.8318895Z Running profiler/test_python_tracer 1/1 ... [2025-11-03 18:00:11.831682]
2025-11-03T18:00:11.8319240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:11.8323172Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.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'] ... [2025-11-03 18:00:11.832088]
2025-11-03T18:00:14.6517752Z 
2025-11-03T18:00:14.6518650Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_57d1aaf55e69e96a_.log
2025-11-03T18:00:14.6519423Z Running 0 items in this shard:
2025-11-03T18:00:14.6519599Z 
2025-11-03T18:00:14.6521829Z Running inductor/test_custom_op_autotune 1/1 ... [2025-11-03 18:00:14.651987]
2025-11-03T18:00:14.6522283Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:14.6526412Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_op_autotune.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'] ... [2025-11-03 18:00:14.652392]
2025-11-03T18:00:20.0761488Z 
2025-11-03T18:00:20.0763120Z inductor/test_custom_op_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_op_autotune_1.1_f0f43f3d4b5aa34c_.log
2025-11-03T18:00:20.0764229Z Running 0 items in this shard:
2025-11-03T18:00:20.0764448Z 
2025-11-03T18:00:23.0411077Z Running inductor/test_halide 1/1 ... [2025-11-03 18:00:23.040494]
2025-11-03T18:00:23.0411656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:23.0412676Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.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'] ... [2025-11-03 18:00:23.040939]
2025-11-03T18:00:23.0461530Z Running inductor/test_lookup_table 1/1 ... [2025-11-03 18:00:23.045870]
2025-11-03T18:00:23.0461960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:23.0465702Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_lookup_table.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'] ... [2025-11-03 18:00:23.046261]
2025-11-03T18:00:23.0633179Z Running inductor/test_autoheuristic 1/1 ... [2025-11-03 18:00:23.063007]
2025-11-03T18:00:23.0633604Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:23.0636991Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.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'] ... [2025-11-03 18:00:23.063418]
2025-11-03T18:00:28.7954102Z 
2025-11-03T18:00:28.7955210Z inductor/test_lookup_table 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_lookup_table_1.1_1b86e56dadd9e288_.log
2025-11-03T18:00:28.7956368Z 
2025-11-03T18:00:30.5636998Z 
2025-11-03T18:00:30.5638682Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_b083115edbcdc799_.log
2025-11-03T18:00:30.5639680Z Running 0 items in this shard:
2025-11-03T18:00:30.5639865Z 
2025-11-03T18:00:32.3879217Z 
2025-11-03T18:00:32.3880354Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_a2d0e7ac80e181bd_.log
2025-11-03T18:00:32.3881350Z 
2025-11-03T18:00:32.5587872Z Running test_jiterator 1/1 ... [2025-11-03 18:00:32.558283]
2025-11-03T18:00:32.5588486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:32.5590390Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.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'] ... [2025-11-03 18:00:32.558729]
2025-11-03T18:00:34.3254012Z Running test_nestedtensor 2/3 ... [2025-11-03 18:00:34.324965]
2025-11-03T18:00:34.3254465Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:34.3256963Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 18:00:34.325381]
2025-11-03T18:00:36.0284524Z Running test_ops_fwd_gradients 2/2 ... [2025-11-03 18:00:36.027993]
2025-11-03T18:00:36.0285006Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:00:36.0286947Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.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'] ... [2025-11-03 18:00:36.028403]
2025-11-03T18:00:57.5707889Z 
2025-11-03T18:00:57.5708816Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_167edc799919039d_.log
2025-11-03T18:00:57.5802770Z Running 289 items in this shard: test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_bfloat16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_complex128, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_complex64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_float16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_float32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_float64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_int16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_int32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_int64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_int8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_bfloat16_uint8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_bfloat16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_complex128, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_complex64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_float16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_float32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_float64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_int16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_int32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_int64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_int8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex128_uint8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_bfloat16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_complex128, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_complex64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_float16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_float32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_float64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_int16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_int32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_int64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_int8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_complex64_uint8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_bfloat16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_complex128, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_complex64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_float16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_float32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_float64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_int16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_int32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_int64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_int8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float16_uint8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_bfloat16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_complex128, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_complex64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_float16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_float32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_float64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_int16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_int32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_int64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_int8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float32_uint8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_bfloat16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_complex128, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_complex64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_float16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_float32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_float64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_int16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_int32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_int64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_int8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_float64_uint8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_bfloat16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_complex128, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_complex64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_float16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_float32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_float64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_int16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_int32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_int64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_int8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int16_uint8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_bfloat16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_complex128, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_complex64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_float16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_float32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_float64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_int16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_int32, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_int64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_int8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int32_uint8, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int64_bfloat16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int64_complex128, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int64_complex64, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int64_float16, test/test_jiterator.py::TestPythonJiteratorCUDA::test_all_dtype_contiguous_shape_strides0_cuda_int64_float32, 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test/test_jiterator.py::TestPythonJiteratorCUDA::test_invalid_function_name_code_string_template <typename T> T my _kernel(T x) { return x; }_cuda, test/test_jiterator.py::TestPythonJiteratorCUDA::test_invalid_function_name_code_string_template <typename T> Tmy_kernel(T x) { return x; }_cuda, test/test_jiterator.py::TestPythonJiteratorCUDA::test_multiple_functors_cuda, test/test_jiterator.py::TestPythonJiteratorCUDA::test_various_num_inputs_num_inputs_1_cuda, test/test_jiterator.py::TestPythonJiteratorCUDA::test_various_num_inputs_num_inputs_5_cuda, test/test_jiterator.py::TestPythonJiteratorCUDA::test_various_num_inputs_num_inputs_8_cuda, test/test_jiterator.py::TestPythonJiteratorCUDA::test_various_num_outputs_num_outputs_1_cuda, test/test_jiterator.py::TestPythonJiteratorCUDA::test_various_num_outputs_num_outputs_4_cuda, test/test_jiterator.py::TestPythonJiteratorCUDA::test_various_num_outputs_num_outputs_8_cuda
2025-11-03T18:00:57.5890245Z 
2025-11-03T18:01:01.1707714Z Running inductor/test_snode_runtime 1/1 ... [2025-11-03 18:01:01.170355]
2025-11-03T18:01:01.1708420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:01:01.1711373Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 18:01:01.170777]
2025-11-03T18:01:15.7126163Z 
2025-11-03T18:01:15.7127477Z 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_f74612c8fb315cb5_.log
2025-11-03T18:01:15.7133595Z Running 22 items in this shard: test/inductor/test_snode_runtime.py::UnsupportedTests::test_no_cuda, test/inductor/test_snode_runtime.py::UnsupportedTests::test_no_op, test/inductor/test_snode_runtime.py::ComputeBoundedTests::test_addmm, test/inductor/test_snode_runtime.py::ComputeBoundedTests::test_bmm, test/inductor/test_snode_runtime.py::ComputeBoundedTests::test_conv1d, test/inductor/test_snode_runtime.py::ComputeBoundedTests::test_conv2d, test/inductor/test_snode_runtime.py::ComputeBoundedTests::test_conv2d_transpose, test/inductor/test_snode_runtime.py::ComputeBoundedTests::test_conv3d, test/inductor/test_snode_runtime.py::ComputeBoundedTests::test_mm, test/inductor/test_snode_runtime.py::MemoryBoundedTests::test_dynamic, test/inductor/test_snode_runtime.py::MemoryBoundedTests::test_horizontal_reduction_pointwise, test/inductor/test_snode_runtime.py::MemoryBoundedTests::test_pointwise, test/inductor/test_snode_runtime.py::MemoryBoundedTests::test_relu, test/inductor/test_snode_runtime.py::TestCommAnalysis::test_all_gather_into_tensor, test/inductor/test_snode_runtime.py::TestCommAnalysis::test_all_gather_into_tensor_coalesced, test/inductor/test_snode_runtime.py::TestCommAnalysis::test_all_reduce, test/inductor/test_snode_runtime.py::TestCommAnalysis::test_all_reduce_coalesced, test/inductor/test_snode_runtime.py::TestCommAnalysis::test_legacy_all_gather_into_tensor_coalesced, test/inductor/test_snode_runtime.py::TestCommAnalysis::test_legacy_all_reduce, test/inductor/test_snode_runtime.py::TestCommAnalysis::test_legacy_all_reduce_coalesced, test/inductor/test_snode_runtime.py::TestCommAnalysis::test_reduce_scatter_tensor, test/inductor/test_snode_runtime.py::TestCommAnalysis::test_reduce_scatter_tensor_coalesced
2025-11-03T18:01:15.7138817Z 
2025-11-03T18:01:19.2948320Z Running dynamo/test_modes 1/1 ... [2025-11-03 18:01:19.294338]
2025-11-03T18:01:19.2948753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:01:19.2951855Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 18:01:19.294844]
2025-11-03T18:01:39.1978453Z 
2025-11-03T18:01:39.1979295Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_f947b1d0fd4a0de3_.log
2025-11-03T18:01:39.1988068Z Running 28 items in this shard: test/dynamo/test_modes.py::TorchDispatchModeTests::test_skip_torch_dispatch_modes, test/dynamo/test_modes.py::TorchDispatchModeTests::test_torch_dispatch_ignore_compile_internals, 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_expand, test/dynamo/test_modes.py::TorchFunctionModeTests::test_flex_attention, test/dynamo/test_modes.py::TorchFunctionModeTests::test_hop, test/dynamo/test_modes.py::TorchFunctionModeTests::test_hop_eager, test/dynamo/test_modes.py::TorchFunctionModeTests::test_intermedate_torch_function_mode_construction_mutation, test/dynamo/test_modes.py::TorchFunctionModeTests::test_is_torch_function_all_disabled, 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_preserves_cuda_rng_state, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_restore_on_exc
2025-11-03T18:01:39.1995199Z 
2025-11-03T18:01:42.7816860Z Running dynamo/test_sets 1/1 ... [2025-11-03 18:01:42.781183]
2025-11-03T18:01:42.7817613Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:01:42.7819367Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sets.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'] ... [2025-11-03 18:01:42.781636]
2025-11-03T18:01:53.3657183Z 
2025-11-03T18:01:53.3658166Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_6d96ae067e207f53_.log
2025-11-03T18:01:53.3681788Z Running 124 items in this shard: test/dynamo/test_sets.py::CustomSetTests::test_custom_add, test/dynamo/test_sets.py::CustomSetTests::test_custom_contains, test/dynamo/test_sets.py::MiscTests::test_isdisjoint_with_generator, test/dynamo/test_sets.py::TestSetGuards::test_in_guard, test/dynamo/test_sets.py::TestSetGuards::test_set_guard_on_keys_change, test/dynamo/test_sets.py::TestSetGuards::test_set_multiple_types, test/dynamo/test_sets.py::TestSetGuards::test_set_recompile_on_key_change, test/dynamo/test_sets.py::TestSetGuards::test_set_recompile_on_key_pop, test/dynamo/test_sets.py::TestSetGuards::test_set_with_function, test/dynamo/test_sets.py::TestSetGuards::test_set_with_tensors, test/dynamo/test_sets.py::FrozensetTests::test_binop_and, test/dynamo/test_sets.py::FrozensetTests::test_binop_or, test/dynamo/test_sets.py::FrozensetTests::test_binop_sub, test/dynamo/test_sets.py::FrozensetTests::test_binop_xor, test/dynamo/test_sets.py::FrozensetTests::test_cmp_eq, test/dynamo/test_sets.py::FrozensetTests::test_cmp_greater_than, test/dynamo/test_sets.py::FrozensetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::FrozensetTests::test_cmp_less_than, test/dynamo/test_sets.py::FrozensetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::FrozensetTests::test_cmp_ne, test/dynamo/test_sets.py::FrozensetTests::test_constructor_iterable, test/dynamo/test_sets.py::FrozensetTests::test_contains, test/dynamo/test_sets.py::FrozensetTests::test_copy, test/dynamo/test_sets.py::FrozensetTests::test_difference, test/dynamo/test_sets.py::FrozensetTests::test_equality, test/dynamo/test_sets.py::FrozensetTests::test_in_frozenset, test/dynamo/test_sets.py::FrozensetTests::test_intersection, test/dynamo/test_sets.py::FrozensetTests::test_isdisjoint, test/dynamo/test_sets.py::FrozensetTests::test_issubset, test/dynamo/test_sets.py::FrozensetTests::test_issuperset, test/dynamo/test_sets.py::FrozensetTests::test_symmetric_difference, test/dynamo/test_sets.py::FrozensetTests::test_to_frozenset, test/dynamo/test_sets.py::FrozensetTests::test_to_set, test/dynamo/test_sets.py::FrozensetTests::test_union, test/dynamo/test_sets.py::SetTests::test_add, test/dynamo/test_sets.py::SetTests::test_binop_and, test/dynamo/test_sets.py::SetTests::test_binop_or, test/dynamo/test_sets.py::SetTests::test_binop_sub, test/dynamo/test_sets.py::SetTests::test_binop_xor, test/dynamo/test_sets.py::SetTests::test_clear, test/dynamo/test_sets.py::SetTests::test_cmp_eq, test/dynamo/test_sets.py::SetTests::test_cmp_greater_than, test/dynamo/test_sets.py::SetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::SetTests::test_cmp_less_than, test/dynamo/test_sets.py::SetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::SetTests::test_cmp_ne, test/dynamo/test_sets.py::SetTests::test_constructor_iterable, test/dynamo/test_sets.py::SetTests::test_contains, test/dynamo/test_sets.py::SetTests::test_copy, test/dynamo/test_sets.py::SetTests::test_difference, test/dynamo/test_sets.py::SetTests::test_difference_update, test/dynamo/test_sets.py::SetTests::test_discard, test/dynamo/test_sets.py::SetTests::test_equality, test/dynamo/test_sets.py::SetTests::test_in_frozenset, test/dynamo/test_sets.py::SetTests::test_intersection, test/dynamo/test_sets.py::SetTests::test_intersection_update, test/dynamo/test_sets.py::SetTests::test_isdisjoint, test/dynamo/test_sets.py::SetTests::test_issubset, test/dynamo/test_sets.py::SetTests::test_issuperset, test/dynamo/test_sets.py::SetTests::test_pop, test/dynamo/test_sets.py::SetTests::test_remove, test/dynamo/test_sets.py::SetTests::test_symmetric_difference, test/dynamo/test_sets.py::SetTests::test_symmetric_difference_update, test/dynamo/test_sets.py::SetTests::test_to_frozenset, test/dynamo/test_sets.py::SetTests::test_to_set, test/dynamo/test_sets.py::SetTests::test_union, test/dynamo/test_sets.py::SetTests::test_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_add, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_and, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_or, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_sub, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_xor, test/dynamo/test_sets.py::UserDefinedSetTests::test_clear, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_eq, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_greater_than, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_less_than, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_ne, test/dynamo/test_sets.py::UserDefinedSetTests::test_constructor_iterable, test/dynamo/test_sets.py::UserDefinedSetTests::test_contains, test/dynamo/test_sets.py::UserDefinedSetTests::test_copy, test/dynamo/test_sets.py::UserDefinedSetTests::test_difference, test/dynamo/test_sets.py::UserDefinedSetTests::test_difference_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_discard, test/dynamo/test_sets.py::UserDefinedSetTests::test_equality, test/dynamo/test_sets.py::UserDefinedSetTests::test_in_frozenset, test/dynamo/test_sets.py::UserDefinedSetTests::test_intersection, test/dynamo/test_sets.py::UserDefinedSetTests::test_intersection_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_isdisjoint, test/dynamo/test_sets.py::UserDefinedSetTests::test_issubset, test/dynamo/test_sets.py::UserDefinedSetTests::test_issuperset, test/dynamo/test_sets.py::UserDefinedSetTests::test_pop, test/dynamo/test_sets.py::UserDefinedSetTests::test_remove, test/dynamo/test_sets.py::UserDefinedSetTests::test_symmetric_difference, test/dynamo/test_sets.py::UserDefinedSetTests::test_symmetric_difference_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_to_frozenset, test/dynamo/test_sets.py::UserDefinedSetTests::test_to_set, test/dynamo/test_sets.py::UserDefinedSetTests::test_union, test/dynamo/test_sets.py::UserDefinedSetTests::test_update, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_and, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_or, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_sub, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_xor, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_eq, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_greater_than, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_less_than, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_ne, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_constructor_iterable, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_contains, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_copy, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_difference, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_equality, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_in_frozenset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_intersection, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_isdisjoint, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_issubset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_issuperset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_symmetric_difference, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_to_frozenset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_to_set, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_union
2025-11-03T18:01:53.3703224Z 
2025-11-03T18:01:56.9556973Z Running nn/test_multihead_attention 1/1 ... [2025-11-03 18:01:56.955157]
2025-11-03T18:01:56.9557469Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:01:56.9559197Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 18:01:56.955596]
2025-11-03T18:02:18.1658467Z 
2025-11-03T18:02:18.1659475Z 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_9794b3651c56c972_.log
2025-11-03T18:02:18.1671949Z Running 20 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::TestMultiheadAttentionNNDeviceTypeCUDA::test_fast_path_check_with_mask_does_not_break_in_compile_cuda_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_attention_dtype_batch_first_cuda_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_attention_dtype_batch_first_cuda_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_attention_dtype_batch_first_cuda_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_attention_dtype_cuda_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_attention_dtype_cuda_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_attention_dtype_cuda_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_attn_fast_path_query_and_bias_have_different_dtypes_cuda_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_attn_fast_path_small_test_cuda_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_attn_in_proj_bias_none_cuda_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_attn_in_proj_weight_none_cuda_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_self_attn_two_masks_fast_path_cuda, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCUDA::test_multihead_self_attn_two_masks_fast_path_mock_cuda
2025-11-03T18:02:18.1680530Z 
2025-11-03T18:02:21.7827769Z Running dynamo/test_sources 1/1 ... [2025-11-03 18:02:21.782314]
2025-11-03T18:02:21.7828220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:02:21.7830580Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 18:02:21.782726]
2025-11-03T18:02:25.8557541Z 
2025-11-03T18:02:25.8558869Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_79452a38379d94a8_.log
2025-11-03T18:02:25.8560591Z 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
2025-11-03T18:02:25.8561383Z 
2025-11-03T18:02:29.3582789Z Running dynamo/test_flat_apply 1/1 ... [2025-11-03 18:02:29.357824]
2025-11-03T18:02:29.3583260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:02:29.3585381Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_flat_apply.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'] ... [2025-11-03 18:02:29.358252]
2025-11-03T18:02:33.5304814Z 
2025-11-03T18:02:33.5305823Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_2e9d2f7cef2cc102_.log
2025-11-03T18:02:33.5308838Z Running 4 items in this shard: test/dynamo/test_flat_apply.py::FlatApplyTests::test_non_tensor_output, test/dynamo/test_flat_apply.py::FlatApplyTests::test_nonstrict_trace_captured_tensor_post_aot_graph, test/dynamo/test_flat_apply.py::FlatApplyTests::test_nonstrict_trace_dynamo_graph, test/dynamo/test_flat_apply.py::FlatApplyTests::test_simple
2025-11-03T18:02:33.5310500Z 
2025-11-03T18:02:37.1585007Z Running test_numpy_interop 1/1 ... [2025-11-03 18:02:37.158000]
2025-11-03T18:02:37.1585462Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:02:37.1587238Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 18:02:37.158436]
2025-11-03T18:02:41.3321130Z 
2025-11-03T18:02:41.3322369Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_61e6a7e34e904487_.log
2025-11-03T18:02:41.3334247Z Running 45 items in this shard: test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_bool, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_complex128, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_complex64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_float16, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_float32, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_float64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_int16, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_int32, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_int64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_int8, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_uint8, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_ctor_with_invalid_numpy_array_sequence_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_ctor_with_numpy_scalar_ctor_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_empty_tensors_interop_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_from_list_of_ndarray_warning_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_from_numpy_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_from_numpy_no_leak_on_invalid_dtype_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_from_numpy_zero_element_type_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_has_storage_numpy_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_multiplication_numpy_scalar_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_ndarray_astype_object_graph_break_2_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_ndarray_astype_object_graph_break_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_array_interface_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_index_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_index_multi_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_non_writeable_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_bfloat16, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_bool, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_complex128, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_complex64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_float16, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_float32, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_float64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_int16, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_int32, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_int64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_int8, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_uint8, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_unresizable_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_parse_numpy_int_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_parse_numpy_int_overflow_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_to_numpy_bool_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_to_numpy_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_to_numpy_force_argument_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_to_numpy_zero_tensor_cuda
2025-11-03T18:02:41.3344485Z 
2025-11-03T18:02:45.1475723Z Running test_ops_jit 1/2 ... [2025-11-03 18:02:45.147030]
2025-11-03T18:02:45.1476193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:02:45.1477697Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 18:02:45.147452]
2025-11-03T18:06:37.9063205Z 
2025-11-03T18:06:37.9064224Z test_ops_fwd_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_2.2_fe7a7ebae71c9b70_.log
2025-11-03T18:06:37.9820675Z Running 1579 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_H_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_T_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___getitem___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rdiv___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rdiv___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmatmul___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmul___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rpow___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rsub___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rsub___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad__batch_norm_with_update_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad__chunk_cat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad__chunk_cat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad__native_batch_norm_legit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad__softmax_backward_data_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad__unsafe_masked_index_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad__unsafe_masked_index_put_accumulate_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad__upsample_bilinear2d_aa_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_abs_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_acos_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_acosh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcdiv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcmul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcmul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_decomposed_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_all_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_allclose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_any_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_arange_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argwhere_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_partial_views_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_asin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atanh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_baddbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_baddbmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bernoulli_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bfloat16_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_block_diag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_broadcast_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_broadcast_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bucketize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_byte_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cartesian_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cdist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cdouble_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ceil_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cfloat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chalf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_char_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_char_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_inverse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chunk_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chunk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_combinations_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_complex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_physical_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_physical_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_constant_pad_nd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_contiguous_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_contiguous_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_corrcoef_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cos_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cos_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cosh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cosh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_count_nonzero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_count_nonzero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cummin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_deg2rad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagflat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagflat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diff_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_digamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dist_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_floor_rounding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_no_rounding_mode_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_trunc_rounding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_einsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_einsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_empty_permuted_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_empty_strided_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_eq_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_equal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_erf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_erfinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_exp2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_exp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expm1_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifftshift_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ihfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ihfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_rfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flatten_cuda_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_cross_entropy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_ctc_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_elu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_embedding_bag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_embedding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_feature_alpha_dropout_with_train_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_fractional_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_gelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_glu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_grid_sample_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_group_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardswish_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hinge_embedding_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_huber_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_area_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_bicubic_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_linear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_trilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_kl_div_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_l1_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_layer_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_leaky_relu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_logsigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_margin_ranking_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool2d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool3d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_mse_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_multi_head_attention_forward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_multilabel_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_normalize_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_circular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_constant_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_replicate_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_replicate_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_replicate_negative_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_replicate_negative_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pairwise_distance_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pdist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_relu6_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_rms_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_scaled_dot_product_attention_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_silu_complex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softsign_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softsign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_threshold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_squeeze_multiple_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_mean_unbiased_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_unbiased_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sub_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_to_size_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_to_size_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_svd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_svd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_svd_lowrank_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_svd_lowrank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_t_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tanh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensor_split_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensordot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensordot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_torch_ops_aten__safe_softmax_default_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_transpose_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_transpose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trapezoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trapz_cuda_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_mean_unbiased_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vdot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vdot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zero__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zeros_like_cuda_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD__chunk_cat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD__native_batch_norm_legit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD__segment_reduce_offsets_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD__softmax_backward_data_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD__unsafe_masked_index_put_accumulate_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD__unsafe_masked_index_put_accumulate_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD__upsample_bilinear2d_aa_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acos_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcdiv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcdiv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcmul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_alias_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_alias_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_all_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_all_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_allclose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_angle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_any_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_arange_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argwhere_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argwhere_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_partial_views_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_partial_views_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asin_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asinh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atan2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_baddbmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bfloat16_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bfloat16_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_block_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bool_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_to_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cartesian_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cartesian_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cdist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cdouble_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ceil_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cfloat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chalf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_inverse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chunk_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clamp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clamp_max_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clamp_min_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clone_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_column_stack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_column_stack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_combinations_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_constant_pad_nd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_constant_pad_nd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_contiguous_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_corrcoef_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_corrcoef_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cos_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cos_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cosh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_count_nonzero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cov_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cross_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cummax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cummin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumprod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_embed_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagflat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diff_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diff_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dist_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_floor_rounding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_strided_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_strided_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eq_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_equal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_equal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_erf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_erfc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exp2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exponential_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftshift_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftshift_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftshift_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ihfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ihfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_rfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flatten_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flip_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fliplr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flipud_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_power_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_power_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_floor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_floor_divide_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fmod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_frexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gather_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gather_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_geometric_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_geqrf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gradient_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_grid_sampler_2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_grid_sampler_3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_igamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_imag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_reduce_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_reduce_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_inner_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_inner_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_int_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_int_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isclose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isfinite_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isfinite_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isinf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isnan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isneginf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isreal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isreal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_istft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_item_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_2inputs_2outputs_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_2inputs_2outputs_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_4inputs_with_extra_args_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_return_by_ref_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_unary_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_unary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_kron_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_kron_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_kthvalue_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ldexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cross_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_det_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eig_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eig_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvals_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvalsh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvalsh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_multi_dot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_hermitian_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_hermitian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_singular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_qr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_qr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svdvals_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svdvals_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorsolve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vander_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vecdot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vector_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linspace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linspace_tensor_overload_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linspace_tensor_overload_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log10_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log1p_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log1p_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logaddexp2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logaddexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logdet_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logdet_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_and_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_not_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_not_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_or_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_or_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_xor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_xor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_long_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_long_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_unpack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mH_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mT_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_argmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumprod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumprod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_log_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_logaddexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_logsumexp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_normalize_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_std_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_var_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matmul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_pool2d_with_indices_backward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_reduction_no_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_reduction_with_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_median_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mode_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_movedim_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_multinomial_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nansum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nansum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_native_dropout_backward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ne_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_neg_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_neg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_strided_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_strided_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_full_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_zeros_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nextafter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_avg_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_celu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_cosine_embedding_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_cosine_similarity_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_cross_entropy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_dropout3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_embedding_bag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_with_train_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_gaussian_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardsigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardswish_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardtanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hinge_embedding_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_area_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_bicubic_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest-exact_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_l1_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_layer_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_linear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_local_response_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_margin_ranking_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_mish_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_mse_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_multi_head_attention_forward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_multi_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_normalize_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_circular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_circular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_constant_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_poisson_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_rms_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_selu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_silu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_soft_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softplus_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softsign_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_unfold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_upsample_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_upsample_nearest_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nonzero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nonzero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nonzero_static_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_fro_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_inf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_nuc_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_nuc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_normal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_normal_in_place_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_normal_in_place_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ormqr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ormqr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_outer_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pca_lowrank_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_permute_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pinverse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_4_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pow_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_put_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_qr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rad2deg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rand_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_real_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_real_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reciprocal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reciprocal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_renorm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize_as__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_decimals_neg_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsqrt_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsub_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scalar_tensor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scalar_tensor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_searchsorted_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_select_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sgn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_cosine_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_exponential_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_general_hamming_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_hann_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_kaiser_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signbit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_softmax_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sparse_mm_reduce_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sparse_sampled_addmm_cuda_complex128, 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2025-11-03T18:06:38.0289292Z 
2025-11-03T18:06:38.4390690Z Uploading artifacts took 0.53 seconds
2025-11-03T18:06:41.5709425Z Running test_ops_jit 2/2 ... [2025-11-03 18:06:41.570422]
2025-11-03T18:06:41.5709992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:06:41.5711469Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.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'] ... [2025-11-03 18:06:41.570816]
2025-11-03T18:08:50.0709527Z 
2025-11-03T18:08:50.0710369Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_553f4d7758a5f81c_.log
2025-11-03T18:08:50.0846254Z Running 546 items in this shard: test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_abs_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_acosh_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_asin_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_atan2_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_cat_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_clamp_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_digamma_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_div_no_rounding_mode_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_div_trunc_rounding_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_erfinv_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_i0_cuda_float32, 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test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_modified_bessel_i1_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_modified_bessel_k0_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_modified_bessel_k1_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_ndtr_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_scaled_modified_bessel_k1_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_xlog1py_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_split_with_sizes_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sqrt_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_square_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_squeeze_copy_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_squeeze_copy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_squeeze_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_squeeze_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_squeeze_multiple_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_squeeze_multiple_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_mean_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_mean_unbiased_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_mean_unbiased_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_stft_cuda_complex64, 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test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trapezoid_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trapz_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_triangular_solve_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tril_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_triu_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_true_divide_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unbind_copy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unflatten_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_copy_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_copy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsafe_split_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsafe_split_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsqueeze_copy_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsqueeze_copy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_mean_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_mean_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_mean_unbiased_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_mean_unbiased_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_unbiased_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vdot_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vdot_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vsplit_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vstack_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vstack_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_where_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_xlogy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zero__cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zero__cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_like_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_like_cuda_float32
2025-11-03T18:08:50.0978099Z 
2025-11-03T18:08:53.7009647Z Running inductor/test_layout_optim 1/1 ... [2025-11-03 18:08:53.700470]
2025-11-03T18:08:53.7010188Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:08:53.7011961Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_layout_optim.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'] ... [2025-11-03 18:08:53.700880]
2025-11-03T18:08:59.8716334Z 
2025-11-03T18:08:59.8717494Z inductor/test_layout_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_layout_optim_1.1_b607cc653210c762_.log
2025-11-03T18:08:59.8718565Z Running 0 items in this shard:
2025-11-03T18:08:59.8718807Z 
2025-11-03T18:09:03.5017552Z Running inductor/test_control_flow 2/5 ... [2025-11-03 18:09:03.501259]
2025-11-03T18:09:03.5017959Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:09:03.5019690Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'not serial', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 18:09:03.501652]
2025-11-03T18:10:02.9145376Z 
2025-11-03T18:10:02.9146103Z test_nestedtensor 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_2.3_a3cc42914d4c916e_.log
2025-11-03T18:10:02.9332749Z Running 542 items in this shard: test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_cat, test/test_nestedtensor.py::TestNestedTensor::test_is_contiguous, test/test_nestedtensor.py::TestNestedTensor::test_jagged_with_dim_error, test/test_nestedtensor.py::TestNestedTensor::test_nested_view_from_buffer_overflow_errors, test/test_nestedtensor.py::TestNestedTensor::test_numel, test/test_nestedtensor.py::TestNestedTensor::test_repr_string, test/test_nestedtensor.py::TestNestedTensor::test_size_dim, test/test_nestedtensor.py::TestNestedTensor::test_stride, test/test_nestedtensor.py::TestNestedTensor::test_to, test/test_nestedtensor.py::TestNestedTensor::test_to_padded_tensor_on_empty_tensor, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_bmm_cpu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_bmm_cpu_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_bmm_cuda_cuda_bfloat16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_bmm_noncontiguous_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_clone_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_contiguous_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_dropout_jagged_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_empty_like_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_amax_dtypes_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_amax_dtypes_cuda_int16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_amax_dtypes_cuda_int64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_amax_dtypes_cuda_int8, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_amin_dtypes_cuda_bfloat16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_amin_dtypes_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_amin_dtypes_cuda_int16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_argmax_dtypes_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_argmax_dtypes_cuda_int16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_argmax_dtypes_cuda_uint8, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_argmin_dtypes_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_argmin_dtypes_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_argmin_dtypes_cuda_int16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_argmin_dtypes_cuda_int8, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_max_dtypes_cuda_int64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_jagged_min_dtypes_cuda_int32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_layer_norm_breaking_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_linear_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_masked_fill_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_matmul_noncontiguous_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_matmul_noncontiguous_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_matmul_nt_with_broadcasted_t_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_narrow_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_add_in_place_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_chunk_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_dense_elementwise_embedding_dim_256_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_dense_elementwise_embedding_dim_256_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_dense_elementwise_embedding_dim_384_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_dense_elementwise_embedding_dim_8_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_div_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_div_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_indexing_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_indexing_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_mul_in_place_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_sub_transpose_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_sub_transpose_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_sub_transpose_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_sub_transpose_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_nested_tensor_sum_dim_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_reshape_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_serialization_requires_grad_False_weights_only_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_serialization_requires_grad_False_weights_only_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_serialization_requires_grad_True_weights_only_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_serialization_requires_grad_True_weights_only_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_serialization_requires_grad_True_weights_only_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_softmax_noncontiguous_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_squeeze_unsqueeze_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_to_padded_tensor_dim2_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_to_padded_tensor_dim2_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_to_padded_tensor_dim3_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_to_padded_tensor_dim3_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_to_padded_tensor_dim4_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_to_padded_tensor_output_size_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_to_padded_tensor_simple_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_to_padded_tensor_zero_numel_errors_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_to_padded_tensor_zero_numel_errors_cuda_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_to_then_from_padded_tensor_no_transform0213_cuda_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_transpose_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_transpose_inference_mode_interaction_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_unary_funcs_gelu_cuda, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_unary_funcs_isneginf_cuda, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_unary_funcs_logical_not_cuda, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_unary_funcs_neg_cuda, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_view_cuda_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCUDA::test_view_inference_mode_interaction_cuda_float16, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_accumulate_grad_different_strides_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_as_nested_tensor_propagates_gradients_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_backward_add_strided_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_backward_for_add_op_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_backward_sub_strided_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_gelu_backward_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_indexing_backward_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_layer_norm_backward_5d_size_32_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_layer_norm_backward_size_1024_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_layer_norm_backward_size_512_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_nested_tensor_from_list_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_nested_tensor_from_mask_and_to_padded_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_nested_tensor_from_padded_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_nested_tensor_matmul_gradcheck_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_nested_tensor_squeeze_gradcheck_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_nested_tensor_transpose_backward_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_nested_tensor_transpose_gradcheck_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_selu_backward_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_set_requires_grad_from_list_cuda, test/test_nestedtensor.py::TestNestedTensorAutogradCUDA::test_to_buffer_series_ops_grad_with_broadcast_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_False_contiguous_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_False_contiguous_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_True_contiguous_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_True_contiguous_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_True_contiguous_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_False_contiguous_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_False_contiguous_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_False_contiguous_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_True_contiguous_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_True_contiguous_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_True_contiguous_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_False_contiguous_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_False_contiguous_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_False_contiguous_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_False_contiguous_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_True_contiguous_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_False_contiguous_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_False_contiguous_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_True_contiguous_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_True_contiguous_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_True_contiguous_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_False_contiguous_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_False_contiguous_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_True_contiguous_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_True_contiguous_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_False_contiguous_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_True_contiguous_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_True_contiguous_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_True_contiguous_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_False_contiguous_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_False_contiguous_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_False_contiguous_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_True_contiguous_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_True_contiguous_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_True_contiguous_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_False_contiguous_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_False_contiguous_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_True_contiguous_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_True_contiguous_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_True_contiguous_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_True_contiguous_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_binary_pointwise_broadcasting_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_binary_pointwise_transposed_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_compile_padded_dense_conversion_preserves_metadata_cache_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_composite_op_in_inference_mode_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_construction_from_list_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_copy__cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_device_dtype_transfer_updates_offsets_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_dropout_inference_mode_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_dummy_mha_with_nt_use_legacy_api_False_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_layout_construction_as_nested_tensor_components_require_grad_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_layout_construction_nested_tensor_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_layout_construction_nested_tensor_requires_grad_True_components_require_grad_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_layout_construction_nested_tensor_requires_grad_True_components_require_grad_True_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_layout_construction_nested_tensor_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_layout_construction_with_pinned_memory_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_op_different_output_shape_dim_mean_keepdim_False_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_op_different_output_shape_dim_mean_keepdim_True_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_op_different_output_shape_dim_mean_keepdim_True_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_op_different_output_shape_dim_mean_keepdim_True_requires_grad_True_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_op_different_output_shape_dim_sum_keepdim_True_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_view_from_values_offsets_requires_grad_False_values_is_view_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_view_from_values_offsets_requires_grad_False_values_is_view_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_layer_norm_2d_input_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_layer_norm_2d_input_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_layer_norm_operate_on_batch_dim_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_layer_norm_operate_on_batch_dim_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_layer_norm_reduce_ragged_idx_1_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_like_shape_empty_like_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_like_shape_randn_like_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_like_value_rand_like_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_narrow_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_nested_tensor_from_jagged_pass_min_max_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_njt_cat_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_noncontiguous_to_noncontig_transposed_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_False_requires_grad_True_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_False_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_False_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_1_keepdim_False_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_with_lengths_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_with_lengths_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_with_lengths_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_with_lengths_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_op_dim_with_lengths_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_reshape_decomp_requires_grad_True_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sdpa_autocast_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sdpa_backwards_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sdpa_backwards_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sdpa_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sdpa_with_constant_sequence_length_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sdpa_with_constant_sequence_length_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sdpa_with_packed_in_proj_cuda_bfloat16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sdpa_with_packed_in_proj_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sdpa_with_packed_in_proj_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_serialization_noncontig_transposed_weights_only_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_serialization_noncontig_with_holes_weights_only_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_dim_reduce_ragged_idx_1_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_dim_reduce_ragged_idx_1_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_1_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_1_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_2_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_dim_requires_grad_True_components_require_grad_False_softmax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_dim_requires_grad_True_components_require_grad_True_log_softmax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_dim_with_lengths_requires_grad_False_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_reduce_batch_dim_requires_grad_False_components_require_grad_True_log_softmax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_softmax_reduce_batch_dim_requires_grad_False_components_require_grad_True_softmax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_split_with_sizes_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_squeeze_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sum_dim_reduce_batch_and_non_batch_keepdim_True_requires_grad_True_components_require_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sum_dim_reduce_ragged_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_sum_dim_reduce_ragged_and_non_batch_keepdim_True_requires_grad_True_components_require_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_threshold_backward_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_copy_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_dtype_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_2_requires_grad_False_cuda_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_2_requires_grad_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_2_requires_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_2_requires_grad_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_3_requires_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_3_requires_grad_False_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_3_requires_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_3_requires_grad_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_4_requires_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_4_requires_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_compile_nt_dim_4_requires_grad_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_nt_dim_2_requires_grad_True_cuda_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_nt_dim_2_requires_grad_True_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_nt_dim_3_requires_grad_True_cuda_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_nt_dim_3_requires_grad_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_nt_dim_4_requires_grad_False_cuda_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_nt_dim_4_requires_grad_False_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_to_padded_tensor_nt_dim_4_requires_grad_True_cuda_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_unbind_backward_cuda_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_unbind_lengths_ragged_idx_2_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_unbind_transpose_ragged_idx_2_cuda, test/test_nestedtensor.py::TestNestedTensorSubclassCUDA::test_view_ragged_idx_not_one_cuda, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward___rdiv___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward___rmod___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_acos_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_asin_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_asinh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_atan2_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_atan_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_atanh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_cdouble_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_div_trunc_rounding_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_double_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_float_power_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_fmod_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_i0_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_index_put_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_lgamma_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_logaddexp_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_masked_amax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_masked_amin_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_masked_norm_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_masked_prod_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_masked_std_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_min_binary_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_min_reduction_with_dim_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_nan_to_num_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_narrow_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_nn_functional_prelu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_nn_functional_rms_norm_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_nn_functional_softsign_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_nn_functional_threshold_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_polygamma_polygamma_n_1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_pow_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_prod_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_round_decimals_0_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_select_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_sigmoid_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_sinc_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_special_entr_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_special_i0e_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_special_xlog1py_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_sqrt_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_squeeze_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_std_unbiased_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_sum_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_tan_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_tanh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_unsqueeze_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_backward_xlogy_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward___rmul___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward___rpow___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_acos_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_amax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_amin_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_atanh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_ceil_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_clamp_min_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_erfinv_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_fmax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_hypot_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_index_put_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_log2_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_masked_amin_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_masked_logsumexp_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_masked_select_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_max_binary_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_maximum_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_min_reduction_with_dim_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_minimum_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_mul_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nan_to_num_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nanmean_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_narrow_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nn_functional_celu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nn_functional_elu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nn_functional_linear_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nn_functional_mish_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nn_functional_relu6_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nn_functional_rms_norm_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nn_functional_rrelu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nn_functional_silu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_nn_functional_softshrink_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_remainder_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_rsqrt_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_sigmoid_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_sin_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_sinh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_special_entr_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_special_i0e_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_special_i1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_special_log_ndtr_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_special_ndtr_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_split_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_split_with_sizes_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_sqrt_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_sum_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_tan_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_tanh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_to_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_unflatten_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_unsqueeze_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_backward_xlogy_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward___radd___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward___rdiv___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_argmax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_argmin_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_asin_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_atanh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_bfloat16_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_byte_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_chalf_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_char_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_chunk_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_clamp_max_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_clamp_min_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_conj_physical_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_copysign_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_cosh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_deg2rad_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_digamma_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_div_floor_rounding_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_div_trunc_rounding_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_double_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_eq_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_erf_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_erfinv_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_expm1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_floor_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_floor_divide_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_fmax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_frexp_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_gt_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_i0_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_index_put_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_isclose_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_isnan_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_jiterator_binary_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_jiterator_binary_return_by_ref_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_linalg_vector_norm_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_log_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_logaddexp_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_long_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_masked_logsumexp_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_masked_std_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_max_binary_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_mean_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_nanmean_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_narrow_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_nn_functional_hardsigmoid_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_nn_functional_prelu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_nn_functional_relu6_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_nn_functional_rms_norm_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_nn_functional_threshold_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_polygamma_polygamma_n_0_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_polygamma_polygamma_n_1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_polygamma_polygamma_n_2_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_polygamma_polygamma_n_4_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_pow_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_prod_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_remainder_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_round_decimals_3_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_round_decimals_neg_3_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_rsqrt_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_rsub_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_sgn_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_bessel_j1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_bessel_y1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_chebyshev_polynomial_w_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_hermite_polynomial_h_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_hermite_polynomial_he_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_i1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_i1e_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_modified_bessel_i0_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_ndtri_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_scaled_modified_bessel_k1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_split_with_sizes_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_square_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_tanh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_to_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_trunc_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_unflatten_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_var_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_compile_forward_where_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward___radd___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward___rdiv___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward___rmul___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward___rpow___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward___rsub___cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_argmax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_asinh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_cdouble_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_chalf_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_chunk_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_clamp_max_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_clamp_min_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_count_nonzero_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_deg2rad_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_digamma_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_div_no_rounding_mode_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_erfinv_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_exp2_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_exp_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_float_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_frac_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_frexp_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_hypot_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_igamma_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_igammac_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_index_put_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_isfinite_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_isposinf_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_jiterator_binary_return_by_ref_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_linalg_vector_norm_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_log10_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_log1p_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_log_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_logical_not_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_masked_amax_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_masked_argmin_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_masked_prod_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_masked_sum_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_max_binary_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_max_reduction_with_dim_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_nan_to_num_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_nanmean_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_nn_functional_celu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_nn_functional_elu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_nn_functional_relu6_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_nn_functional_rrelu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_nn_functional_selu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_nn_functional_silu_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_nn_functional_softplus_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_nn_functional_softsign_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_positive_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_prod_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_rad2deg_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_rsub_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_sigmoid_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_sign_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_sinc_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_sinh_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_special_airy_ai_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_special_bessel_j1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_special_chebyshev_polynomial_v_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_special_hermite_polynomial_he_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_special_log_ndtr_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_special_modified_bessel_i0_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_special_modified_bessel_i1_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_special_ndtri_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_std_unbiased_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_sum_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_to_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_var_unbiased_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_forward_where_cuda_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCUDA::test_nested_tensor_non_contiguous_mutation_cuda
2025-11-03T18:10:02.9507718Z 
2025-11-03T18:10:06.6344443Z Running optim/test_optim 1/1 ... [2025-11-03 18:10:06.633873]
2025-11-03T18:10:06.6345107Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:10:06.6347249Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_optim.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'] ... [2025-11-03 18:10:06.634284]
2025-11-03T18:10:10.1274539Z 
2025-11-03T18:10:10.1275370Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_4ad8cfe32a63d75f_.log
2025-11-03T18:10:10.1275989Z 
2025-11-03T18:10:13.8909151Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-11-03 18:10:13.890486]
2025-11-03T18:10:13.8909699Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:10:13.8911692Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.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'] ... [2025-11-03 18:10:13.890884]
2025-11-03T18:10:17.9138714Z 
2025-11-03T18:10:17.9139869Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_91dbf74d8c9c63fc_.log
2025-11-03T18:10:17.9157740Z Running 34 items in this shard: test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_loses1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_loses2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_both_abstract, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_nondtype_nonscalartype, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_same, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_sibling_class, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_subclass, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_subclass_backwards, test/torch_np/numpy_tests/core/test_numerictypes.py::TestBitName::test_abstract, test/torch_np/numpy_tests/core/test_numerictypes.py::TestDocStrings::test_platform_dependent_aliases, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t0, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t4, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t5, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t6, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t7, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t8, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t9, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_unique, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t0, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t4, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t5, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t6, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t7, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t8, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t9
2025-11-03T18:10:17.9168227Z 
2025-11-03T18:10:21.7464038Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-11-03 18:10:21.745900]
2025-11-03T18:10:21.7464545Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:10:21.7466337Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 18:10:21.746313]
2025-11-03T18:10:25.6194907Z 
2025-11-03T18:10:25.6196507Z 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_540dc0ee81b082ae_.log
2025-11-03T18:10:25.6201687Z 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
2025-11-03T18:10:25.6206083Z 
2025-11-03T18:10:29.2847131Z Running nn/test_init 1/1 ... [2025-11-03 18:10:29.284207]
2025-11-03T18:10:29.2847567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:10:29.2849417Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 18:10:29.284633]
2025-11-03T18:10:36.3633966Z 
2025-11-03T18:10:36.3635013Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_8218a5874c36b538_.log
2025-11-03T18:10:36.3645836Z Running 30 items in this shard: test/nn/test_init.py::TestNNInit::test_calculate_gain_leaky_relu, test/nn/test_init.py::TestNNInit::test_calculate_gain_leaky_relu_only_accepts_numbers, test/nn/test_init.py::TestNNInit::test_calculate_gain_linear, test/nn/test_init.py::TestNNInit::test_calculate_gain_nonlinear, test/nn/test_init.py::TestNNInit::test_calculate_gain_only_accepts_valid_nonlinearities, test/nn/test_init.py::TestNNInit::test_constant, test/nn/test_init.py::TestNNInit::test_deprecation, test/nn/test_init.py::TestNNInit::test_dirac_identity, test/nn/test_init.py::TestNNInit::test_dirac_only_works_on_3_4_5d_inputs, test/nn/test_init.py::TestNNInit::test_dirac_properties, test/nn/test_init.py::TestNNInit::test_eye, test/nn/test_init.py::TestNNInit::test_eye_only_works_on_2d_inputs, test/nn/test_init.py::TestNNInit::test_kaiming_normal, test/nn/test_init.py::TestNNInit::test_kaiming_normal_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_kaiming_normal_warning_on_0element_tensor, test/nn/test_init.py::TestNNInit::test_kaiming_uniform, test/nn/test_init.py::TestNNInit::test_kaiming_uniform_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_kaiming_uniform_warning_on_0element_tensor, test/nn/test_init.py::TestNNInit::test_normal, test/nn/test_init.py::TestNNInit::test_ones_and_zeros, test/nn/test_init.py::TestNNInit::test_orthogonal, test/nn/test_init.py::TestNNInit::test_sparse_default_std, test/nn/test_init.py::TestNNInit::test_sparse_only_works_on_2d_inputs, test/nn/test_init.py::TestNNInit::test_trunc_normal, test/nn/test_init.py::TestNNInit::test_trunc_normal_generator, test/nn/test_init.py::TestNNInit::test_uniform, test/nn/test_init.py::TestNNInit::test_xavier_normal, test/nn/test_init.py::TestNNInit::test_xavier_normal_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_xavier_uniform, test/nn/test_init.py::TestNNInit::test_xavier_uniform_errors_on_inputs_smaller_than_2d
2025-11-03T18:10:36.3655817Z 
2025-11-03T18:10:40.0905345Z Running test_function_schema 1/1 ... [2025-11-03 18:10:40.090081]
2025-11-03T18:10:40.0905980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:10:40.0907416Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_function_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'] ... [2025-11-03 18:10:40.090461]
2025-11-03T18:10:44.1127001Z 
2025-11-03T18:10:44.1128485Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_4c807c778630ec1d_.log
2025-11-03T18:10:44.1134714Z Running 15 items in this shard: test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_arguments, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_outputs, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_structure, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_with_smart_serialization, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_real_use_case, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_with_out, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_without_out, test/test_function_schema.py::TestFunctionSchema::test_hash_schema, test/test_function_schema.py::TestFunctionSchema::test_out_schema, test/test_function_schema.py::TestFunctionSchema::test_schema_error, test/test_function_schema.py::TestFunctionSchema::test_serialize_and_deserialize, test/test_function_schema.py::TestFunctionSchema::test_string_optional_parameter_default_value, test/test_function_schema.py::TestFunctionSchema::test_sym_int_argument_properly_parsed, test/test_function_schema.py::TestFunctionSchema::test_tensor_list_alias_annotation_properly_parsed, test/test_function_schema.py::TestFunctionSchema::test_tensor_option_arguments_properly_parsed
2025-11-03T18:10:44.1139239Z 
2025-11-03T18:10:47.8795297Z Running test_cuda_multigpu 1/1 ... [2025-11-03 18:10:47.879043]
2025-11-03T18:10:47.8795977Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:10:47.8797946Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.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'] ... [2025-11-03 18:10:47.879480]
2025-11-03T18:10:51.7014502Z 
2025-11-03T18:10:51.7015480Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_e30d6051f836c809_.log
2025-11-03T18:10:51.7030038Z Running 60 items in this shard: test/test_cuda_multigpu.py::TestCudaMultiGPU::test_autogpu, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_caching_pinned_memory_multi_gpu, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cat_autogpu, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_copy_device, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_copy_streams, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_device_memory_allocated, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_init_race, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_set_device, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_synchronize, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_current_stream, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_default_stream, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_events_multi_gpu_elapsed_time, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_events_multi_gpu_query, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_events_wait, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_external_streams, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_external_streams_multi_device, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_get_set_rng_state_all, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_grad_scaling_device_as_key, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_grad_scaling_multigpu, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_grad_scaling_scale, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_load_nonexistent_device, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_mem_get_info, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_memory_stats_multigpu, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_multigpu_serialization_remap, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_multigpu_serialization_remap_dict, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_multigpu_storage_clone, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_new, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_rng_state_offset, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_stream_context, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_stream_event_device, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_stream_event_nogil, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_streaming_backwards_device_transfer, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_streams_multi_gpu, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_streams_multi_gpu_eq, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_streams_multi_gpu_query, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_streams_priority, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_tensor_device, test/test_cuda_multigpu.py::TestCudaComm::test_broadcast_coalesced, test/test_cuda_multigpu.py::TestCudaComm::test_broadcast_coalesced_dense_only, test/test_cuda_multigpu.py::TestCudaComm::test_broadcast_coalesced_empty_tensors, test/test_cuda_multigpu.py::TestCudaComm::test_broadcast_cpu, test/test_cuda_multigpu.py::TestCudaComm::test_broadcast_gpu, test/test_cuda_multigpu.py::TestCudaComm::test_gather, test/test_cuda_multigpu.py::TestCudaComm::test_gather_dim, test/test_cuda_multigpu.py::TestCudaComm::test_gather_namedtuple, test/test_cuda_multigpu.py::TestCudaComm::test_gather_neg_dim, test/test_cuda_multigpu.py::TestCudaComm::test_memory_format_scatter_gather, test/test_cuda_multigpu.py::TestCudaComm::test_reduce_add, test/test_cuda_multigpu.py::TestCudaComm::test_reduce_add_coalesced, test/test_cuda_multigpu.py::TestCudaComm::test_reduce_add_coalesced_dense_only, test/test_cuda_multigpu.py::TestCudaComm::test_scatter_cpu, test/test_cuda_multigpu.py::TestCudaComm::test_scatter_cpu_dim, test/test_cuda_multigpu.py::TestCudaComm::test_scatter_cpu_neg_dim, test/test_cuda_multigpu.py::TestCudaComm::test_scatter_cpu_sizes, test/test_cuda_multigpu.py::TestCudaComm::test_scatter_gpu, test/test_cuda_multigpu.py::TestCudaComm::test_scatter_gpu_dim, test/test_cuda_multigpu.py::TestCudaComm::test_scatter_gpu_neg_dim, test/test_cuda_multigpu.py::TestCudaComm::test_scatter_gpu_sizes, test/test_cuda_multigpu.py::TestCudaComm::test_scatter_namedtuple
2025-11-03T18:10:51.7041633Z 
2025-11-03T18:10:55.4116416Z Running test_jit_autocast 1/1 ... [2025-11-03 18:10:55.411136]
2025-11-03T18:10:55.4116955Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:10:55.4118488Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 18:10:55.411554]
2025-11-03T18:11:23.9054409Z 
2025-11-03T18:11:23.9055344Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_b75bab089961369f_.log
2025-11-03T18:11:23.9066709Z 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
2025-11-03T18:11:23.9078145Z 
2025-11-03T18:11:27.6485267Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-11-03 18:11:27.647978]
2025-11-03T18:11:27.6486535Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:11:27.6488004Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.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'] ... [2025-11-03 18:11:27.648413]
2025-11-03T18:11:31.7211540Z 
2025-11-03T18:11:31.7212900Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_6d97f9bb2c87f1f3_.log
2025-11-03T18:11:31.7246632Z Running 62 items in this shard: test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary0_prepend0_append_nan_expected_to_end, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary1_prepend1_append1_expected_to_begin, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary2_prepend_nan_append_nan_expected_to_begin, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary0_prepend_65536_append_65540_expected0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary1_prepend1_append1_expected1, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary2_prepend_0_append_0_expected2, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary3_prepend_3_append_-9_expected3, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_both_arrays_are_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_both_arrays_have_structured_dtype, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_char_array, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_errors, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_first_array_is_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_hit_alternate_algorithm, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_second_array_is_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_table_timedelta_fails, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_timedelta_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_timedelta_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_with_arrays_containing_tuples, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d_array_like, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d_indices, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_manyways, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d_char_array, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d_unique, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setxor1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_union1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_2, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_with_axis_axis_-1, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_with_axis_axis_0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_errors, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_list, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_zeros, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_nanequals, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_sort_order_with_axis
2025-11-03T18:11:31.7277143Z 
2025-11-03T18:11:35.5953704Z Running dynamo/test_python_autograd 1/1 ... [2025-11-03 18:11:35.594920]
2025-11-03T18:11:35.5954193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:11:35.5956188Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-11-03 18:11:35.595309]
2025-11-03T18:11:39.9687700Z 
2025-11-03T18:11:39.9689070Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_ecb6e3ac8df45fdc_.log
2025-11-03T18:11:39.9691204Z Running 5 items in this shard: test/dynamo/test_python_autograd.py::TestPythonAutograd::test_backwards1, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_backwards2, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_forwards1, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_forwards2, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_split
2025-11-03T18:11:39.9692657Z 
2025-11-03T18:11:43.8145076Z Running test_functional_autograd_benchmark 1/1 ... [2025-11-03 18:11:43.814034]
2025-11-03T18:11:43.8145755Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:11:43.8147370Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_autograd_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'] ... [2025-11-03 18:11:43.814419]
2025-11-03T18:12:09.1198311Z 
2025-11-03T18:12:09.1199442Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_6929956fabd862dc_.log
2025-11-03T18:12:09.1201412Z Running 2 items in this shard: test/test_functional_autograd_benchmark.py::TestFunctionalAutogradBenchmark::test_fast_tasks, test/test_functional_autograd_benchmark.py::TestFunctionalAutogradBenchmark::test_slow_tasks
2025-11-03T18:12:09.1202250Z 
2025-11-03T18:12:12.9518813Z Running test_sparse 1/1 ... [2025-11-03 18:12:12.951432]
2025-11-03T18:12:12.9519253Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:12:12.9521272Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse.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'] ... [2025-11-03 18:12:12.951822]
2025-11-03T18:13:57.7638990Z 
2025-11-03T18:13:57.7639799Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_c66853d3c172584e_.log
2025-11-03T18:13:57.7890708Z Running 593 items in this shard: test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_acos_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_asinh_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_atan_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_atanh_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_div_floor_rounding_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_erf_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_erfc_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_exp2_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_expm1_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_ge_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_gt_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_igammac_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_det_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_inv_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_log_softmax_with_dtype_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_logit_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_logsumexp_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_lt_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_mH_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_matrix_exp_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_max_binary_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_neg_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_nn_functional_conv2d_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_nn_functional_conv3d_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_outer_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_round_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_round_decimals_0_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_round_decimals_neg_3_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_transpose_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_trunc_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_H_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_T_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_T_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___getitem___cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___radd___cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___radd___cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rdiv___cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rmod___cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rmul___cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rmul___cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rsub___cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rsub___cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__batch_norm_with_update_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__chunk_cat_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__native_batch_norm_legit_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__segment_reduce_lengths_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__segment_reduce_offsets_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__softmax_backward_data_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__unsafe_masked_index_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__unsafe_masked_index_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__unsafe_masked_index_put_accumulate_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__upsample_bilinear2d_aa_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_abs_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_abs_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_acos_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_acos_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_add_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addbmm_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addcmul_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addmm_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addmm_decomposed_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addmv_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addr_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addr_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_alias_copy_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_alias_copy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_all_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_all_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_allclose_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_allclose_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_amin_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_angle_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_any_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_any_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_arange_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_argmax_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_copy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_partial_views_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_partial_views_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_scatter_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_scatter_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_asinh_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atan_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atanh_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atanh_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atleast_1d_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atleast_1d_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atleast_2d_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bfloat16_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bfloat16_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_block_diag_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bmm_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bmm_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bool_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_broadcast_tensors_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_broadcast_to_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_byte_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cartesian_prod_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cdist_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cdouble_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ceil_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_chalf_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_chalf_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_char_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cholesky_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cholesky_inverse_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cholesky_solve_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_chunk_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_chunk_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_clamp_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_clamp_min_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_column_stack_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_combinations_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_complex_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_conj_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_conj_cuda_float32, 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test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unbind_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unflatten_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_uniform_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_uniform_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unique_consecutive_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unique_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsafe_chunk_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsafe_chunk_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsqueeze_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsqueeze_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_unbiased_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_complex_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_real_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_copy_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_copy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vsplit_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_where_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_cuda_complex64
2025-11-03T18:13:57.8136940Z 
2025-11-03T18:14:01.5950667Z Running test_type_promotion 1/1 ... [2025-11-03 18:14:01.594605]
2025-11-03T18:14:01.5951191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:14:01.5954054Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 18:14:01.595047]
2025-11-03T18:14:16.4384733Z 
2025-11-03T18:14:16.4385880Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_f0f438de4b355b36_.log
2025-11-03T18:14:16.4602594Z Running 423 items in this shard: test/test_type_promotion.py::TestTypePromotionCUDA::test_add_wrapped_cuda, test/test_type_promotion.py::TestTypePromotionCUDA::test_alpha_mismatch_cuda, test/test_type_promotion.py::TestTypePromotionCUDA::test_alternate_result_cuda, test/test_type_promotion.py::TestTypePromotionCUDA::test_bfloat16_cuda, test/test_type_promotion.py::TestTypePromotionCUDA::test_booleans_cuda, test/test_type_promotion.py::TestTypePromotionCUDA::test_can_cast_cuda, test/test_type_promotion.py::TestTypePromotionCUDA::test_cat_different_dtypes_cuda, test/test_type_promotion.py::TestTypePromotionCUDA::test_cat_out_different_dtypes_cuda, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_bool_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_bool_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_bool_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_bool_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_float32_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_float32_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_float32_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_float32_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_float64_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_float64_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_float64_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_float64_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_int32_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_int32_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_int32_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_bool_int32_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_bool_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_bool_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_bool_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_bool_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_float32_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_float32_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_float32_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_float32_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_float64_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_float64_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_float64_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_float64_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_int32_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_int32_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_int32_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float32_int32_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_bool_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_bool_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_bool_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_bool_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_float32_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_float32_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_float32_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_float32_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_float64_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_float64_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_float64_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_float64_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_int32_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_int32_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_int32_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_float64_int32_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_bool_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_bool_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_bool_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_bool_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_float32_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_float32_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_float32_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_float32_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_float64_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_float64_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_float64_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_float64_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_int32_bool, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_int32_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_int32_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_clamp_type_promotion_cuda_int32_int32_int32, test/test_type_promotion.py::TestTypePromotionCUDA::test_comparison_ops_with_type_promotion_cuda, test/test_type_promotion.py::TestTypePromotionCUDA::test_complex_assertraises_cuda, test/test_type_promotion.py::TestTypePromotionCUDA::test_complex_half_cuda, 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test/test_type_promotion.py::TestTypePromotionCUDA::test_unary_op_out_casting_cuda_float64_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_unary_op_out_casting_cuda_float64_int64, test/test_type_promotion.py::TestTypePromotionCUDA::test_unary_op_out_casting_cuda_int64_complex128, test/test_type_promotion.py::TestTypePromotionCUDA::test_unary_op_out_casting_cuda_int64_complex64, test/test_type_promotion.py::TestTypePromotionCUDA::test_unary_op_out_casting_cuda_int64_float32, test/test_type_promotion.py::TestTypePromotionCUDA::test_unary_op_out_casting_cuda_int64_float64, test/test_type_promotion.py::TestTypePromotionCUDA::test_unary_op_out_casting_cuda_int64_int64, test/test_type_promotion.py::TestTypePromotionCUDA::test_unsigned_cuda
2025-11-03T18:14:16.4816955Z 
2025-11-03T18:14:20.0373317Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-11-03 18:14:20.036847]
2025-11-03T18:14:20.0373756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:14:20.0375369Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.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'] ... [2025-11-03 18:14:20.037254]
2025-11-03T18:14:24.1099422Z 
2025-11-03T18:14:24.1100672Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_de448f4498b54b98_.log
2025-11-03T18:14:24.1130308Z Running 65 items in this shard: test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_bool, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_floating, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_floating_overflow, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromInt::test_intp, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromInt::test_uint64_from_negative, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t23, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t23, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t23
2025-11-03T18:14:24.1161493Z 
2025-11-03T18:14:27.7913343Z Running test_dlpack 1/1 ... [2025-11-03 18:14:27.790889]
2025-11-03T18:14:27.7913869Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:14:27.7915763Z Executing ['/opt/conda/envs/py_3.10/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'] ... [2025-11-03 18:14:27.791315]
2025-11-03T18:14:31.9144697Z 
2025-11-03T18:14:31.9145806Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_258fe8d4571cc7c8_.log
2025-11-03T18:14:31.9186690Z Running 154 items in this shard: test/test_dlpack.py::TestTorchDlPackCUDA::test_automatically_select_in_creation_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_copy_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_bfloat16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_bool, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_complex128, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_complex64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_float16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_float32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_float64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_int16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_int32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_int64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_int8, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_uint16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_uint32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_uint64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_capsule_conversion_cuda_uint8, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_bfloat16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_bool, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_complex128, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_complex64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_float16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_float32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_float64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_int16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_int32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_int64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_int8, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_cuda_uint8, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_narrow_precision_cuda_float4_e2m1fn_x2, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_narrow_precision_cuda_float8_e4m3fn, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_narrow_precision_cuda_float8_e4m3fnuz, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_narrow_precision_cuda_float8_e5m2, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_narrow_precision_cuda_float8_e5m2fnuz, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_diff_streams_narrow_precision_cuda_float8_e8m0fnu, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_bfloat16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_bool, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_complex128, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_complex64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_float16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_float32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_float64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_int16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_int32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_int64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_int8, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_cuda_uint8, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_narrow_precision_cuda_float4_e2m1fn_x2, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_narrow_precision_cuda_float8_e4m3fn, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_narrow_precision_cuda_float8_e4m3fnuz, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_narrow_precision_cuda_float8_e5m2, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_narrow_precision_cuda_float8_e5m2fnuz, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_conversion_with_streams_narrow_precision_cuda_float8_e8m0fnu, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_convert_default_stream_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_cuda_per_thread_stream_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_default_stream_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_export_is_conj_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_export_non_strided_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_export_requires_grad_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_invalid_cpu_stream_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_invalid_cuda_streams_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_invalid_rocm_streams_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_normalize_strides_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_bfloat16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_bool, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_complex128, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_complex64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_float16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_float32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_float64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_int16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_int32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_int64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_int8, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_uint16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_uint32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_uint64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_protocol_conversion_cuda_uint8, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_shared_storage_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_bfloat16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_complex128, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_complex64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_float16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_float32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_float64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_int16, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_int32, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_int64, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_int8, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_invalid_stream_cuda_uint8, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_tensor_on_different_device_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_dlpack_unsupported_dtype_error_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_bfloat16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_bool, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_complex128, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_complex64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_float16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_float32, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_float64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_int16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_int32, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_int64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_int8, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_uint16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_uint32, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_uint64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_cuda_uint8, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_bfloat16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_bool, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_complex128, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_complex64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_float16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_float32, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_float64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_int16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_int32, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_int64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_int8, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_uint16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_uint32, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_uint64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_dtype_cuda_uint8, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_bfloat16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_bool, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_complex128, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_complex64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_float16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_float32, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_float64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_int16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_int32, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_int64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_int8, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_uint16, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_uint32, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_uint64, test/test_dlpack.py::TestTorchDlPackCUDA::test_from_dlpack_noncontinguous_cuda_uint8, test/test_dlpack.py::TestTorchDlPackCUDA::test_max_version_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_needs_copy_error_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_no_copy_cuda, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_complex128, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_complex64, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_float16, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_float32, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_float64, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_int16, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_int32, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_int64, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_int8, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_uint16, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_uint32, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_uint64, test/test_dlpack.py::TestTorchDlPackCUDA::test_numpy_dlpack_protocol_conversion_cuda_uint8, test/test_dlpack.py::TestTorchDlPackCUDA::test_unsupported_device_error_cuda
2025-11-03T18:14:31.9223568Z 
2025-11-03T18:14:35.5960946Z Running profiler/test_torch_tidy 1/1 ... [2025-11-03 18:14:35.595680]
2025-11-03T18:14:35.5961415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:14:35.5964237Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_torch_tidy.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'] ... [2025-11-03 18:14:35.596130]
2025-11-03T18:14:43.3263525Z 
2025-11-03T18:14:43.3264613Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_cc0a198a7c4bd77d_.log
2025-11-03T18:14:43.3271880Z Running 22 items in this shard: test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_id_uniqueness, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_ids_with_other_ops, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocations, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_extra_fields, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_impl_reuse, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_mkldnn_tensors, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_nnmodule_params, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer_parameters_adam, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer_parameters_sgd, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_pointers_and_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_refcounts, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_scalar_ins, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_sparse_tensors, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensor_lists, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensor_properties, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_full, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_keep_alive, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_scalar_args, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_set
2025-11-03T18:14:43.3277486Z 
2025-11-03T18:14:46.9431671Z Running torch_np/test_reductions 1/1 ... [2025-11-03 18:14:46.942711]
2025-11-03T18:14:46.9432269Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:14:46.9434426Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_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'] ... [2025-11-03 18:14:46.943134]
2025-11-03T18:14:53.4223493Z 
2025-11-03T18:14:53.4224566Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_6c4f31734d368334_.log
2025-11-03T18:14:53.4504170Z Running 966 items in this shard: test/torch_np/test_reductions.py::TestFlatnonzero::test_basic, test/torch_np/test_reductions.py::TestAny::test_basic, test/torch_np/test_reductions.py::TestAny::test_method_vs_function, test/torch_np/test_reductions.py::TestAny::test_nd, test/torch_np/test_reductions.py::TestAll::test_basic, test/torch_np/test_reductions.py::TestAll::test_method_vs_function, test/torch_np/test_reductions.py::TestAll::test_nd, test/torch_np/test_reductions.py::TestMean::test_mean, test/torch_np/test_reductions.py::TestMean::test_mean_float16, test/torch_np/test_reductions.py::TestMean::test_mean_values, test/torch_np/test_reductions.py::TestMean::test_mean_where, test/torch_np/test_reductions.py::TestSum::test_sum, test/torch_np/test_reductions.py::TestSum::test_sum_boolean, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt1, 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test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func9, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func1
2025-11-03T18:14:53.4771950Z 
2025-11-03T18:14:57.1211353Z Running lazy/test_reuse_ir 1/1 ... [2025-11-03 18:14:57.120590]
2025-11-03T18:14:57.1211754Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:14:57.1215195Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_reuse_ir.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'] ... [2025-11-03 18:14:57.121071]
2025-11-03T18:15:01.0939780Z 
2025-11-03T18:15:01.0940893Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_99d90be71d476876_.log
2025-11-03T18:15:01.0943063Z Running 4 items in this shard: test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAdd, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSub, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSubFallback, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testBatchNorm
2025-11-03T18:15:01.0944519Z 
2025-11-03T18:15:04.9852493Z Running test_prims 1/1 ... [2025-11-03 18:15:04.984708]
2025-11-03T18:15:04.9853121Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:15:04.9854570Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_prims.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'] ... [2025-11-03 18:15:04.985115]
2025-11-03T18:15:10.0604333Z 
2025-11-03T18:15:10.0605857Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_fd736863beadcba8_.log
2025-11-03T18:15:10.0615017Z Running 26 items in this shard: test/test_prims.py::TestPrimsBasic::test_check_deprecation_warning, test/test_prims.py::TestPrimsBasic::test_clone_complex, test/test_prims.py::TestPrimsBasic::test_clone_meta_stride_preservation_dense, test/test_prims.py::TestPrimsBasic::test_clone_meta_stride_preservation_sparse, test/test_prims.py::TestPrimsBasic::test_mul_complex, test/test_prims.py::TestPrimsBasic::test_torch_ops, test/test_prims.py::TestPrimsCUDA::test_aten_overload_to_prims_cuda, test/test_prims.py::TestPrimsCUDA::test_broadcast_in_dim_cuda_float32, test/test_prims.py::TestPrimsCUDA::test_broadcast_in_dim_sum_cuda_float32, test/test_prims.py::TestPrimsCUDA::test_cbrt_prim_cuda_float64, test/test_prims.py::TestPrimsCUDA::test_cbrt_prim_cuda_int64, test/test_prims.py::TestPrimsCUDA::test_collapse_cuda_float32, test/test_prims.py::TestPrimsCUDA::test_functional_rng_wrappers_cuda_float32, test/test_prims.py::TestPrimsCUDA::test_memory_format_strides_cuda_float32, test/test_prims.py::TestPrimsCUDA::test_philox_rand_cuda_float32, test/test_prims.py::TestPrimsCUDA::test_reshape_view_method_cuda_float32, test/test_prims.py::TestPrimsCUDA::test_var_correction_0_cuda_float32, test/test_prims.py::TestPrimsCUDA::test_var_correction_1_cuda_float32, test/test_prims.py::TestRefsCUDA::test_constant_pad_nd_memory_format_cuda_float32, test/test_prims.py::TestRefsCUDA::test_inferred_tags_cuda, test/test_prims.py::TestRefsCUDA::test_infinite_loop_from_py_dispatcher_cuda, test/test_prims.py::TestRefsCUDA::test_linspace_with_complex_input_cuda, test/test_prims.py::TestRefsCUDA::test_logspace_with_complex_input_cuda, test/test_prims.py::TestRefsCUDA::test_unbind_cuda, test/test_prims.py::TestDecompCUDA::test_decomposition_method_vararg_ones_cuda_float32, test/test_prims.py::TestDecompCUDA::test_decomposition_method_vararg_permute_cuda_float32
2025-11-03T18:15:10.0623594Z 
2025-11-03T18:15:13.6805718Z Running profiler/test_python_tracer 1/1 ... [2025-11-03 18:15:13.680100]
2025-11-03T18:15:13.6806212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:15:13.6810954Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.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'] ... [2025-11-03 18:15:13.680558]
2025-11-03T18:15:20.8088766Z 
2025-11-03T18:15:20.8089896Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_c269c3fd182bde33_.log
2025-11-03T18:15:20.8092087Z Running 3 items in this shard: test/profiler/test_python_tracer.py::TestPythonTracer::test_method_with_c_function, test/profiler/test_python_tracer.py::TestPythonTracer::test_monitoring_callback, test/profiler/test_python_tracer.py::TestPythonTracer::test_unexpected_c_return_events
2025-11-03T18:15:20.8093565Z 
2025-11-03T18:15:24.4523553Z Running inductor/test_custom_op_autotune 1/1 ... [2025-11-03 18:15:24.451816]
2025-11-03T18:15:24.4524476Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:15:24.4525630Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_op_autotune.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'] ... [2025-11-03 18:15:24.452231]
2025-11-03T18:15:43.9543981Z 
2025-11-03T18:15:43.9545074Z inductor/test_custom_op_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_op_autotune_1.1_605285006026cf6d_.log
2025-11-03T18:15:43.9547879Z Running 4 items in this shard: test/inductor/test_custom_op_autotune.py::TestCustomOpAutoTune::test_decompose_k_custom_op_autotune, test/inductor/test_custom_op_autotune.py::TestCustomOpAutoTune::test_mlp_custom_op_autotune, test/inductor/test_custom_op_autotune.py::TestCustomOpAutoTune::test_multi_parameter_tuning, test/inductor/test_custom_op_autotune.py::TestCustomOpAutoTune::test_rmsnorm_custom_op_autotune_with_dynamic_shape
2025-11-03T18:15:43.9549274Z 
2025-11-03T18:19:00.5413629Z 
2025-11-03T18:19:00.5414738Z inductor/test_control_flow 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_2.5_2cd48c7e38767a62_.log
2025-11-03T18:19:00.5549116Z Running 146 items in this shard: test/inductor/test_control_flow.py::CondTests::test_cond_control_flow_with_precomputed_size, test/inductor/test_control_flow.py::CondTests::test_cond_non_tensor_predicates_device_cpu_dynamic_False, test/inductor/test_control_flow.py::CondTests::test_cond_non_tensor_predicates_device_cuda_dynamic_True, test/inductor/test_control_flow.py::CondTests::test_cond_select_with_input_idx_device_cpu_dynamic_True, test/inductor/test_control_flow.py::CondTests::test_cond_simple_control_flow_device_cpu_dynamic_True, test/inductor/test_control_flow.py::CondTests::test_cond_simple_with_int_closure_device_cpu, test/inductor/test_control_flow.py::CondTests::test_cond_subgraphs_with_parameters_device_cpu_dynamic_False, test/inductor/test_control_flow.py::CondTests::test_cond_unbacked_symint_closure_device_cpu_dynamic_False, test/inductor/test_control_flow.py::CondTests::test_cond_unbacked_symint_closure_device_cpu_dynamic_True, test/inductor/test_control_flow.py::CondTests::test_cond_unbacked_symint_closure_device_cuda_dynamic_False, test/inductor/test_control_flow.py::CondTests::test_cond_unbacked_symint_closure_device_cuda_dynamic_True, test/inductor/test_control_flow.py::CondTests::test_cond_unbacked_symint_inner_device_cuda, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_nested_control_flow_device_cuda_dynamic_True_autograd_True, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_simple_control_flow_device_cuda_dynamic_True_autograd_False, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_stack_output_simple_device_cpu_dynamic_False, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_conv_device_cpu_dynamic_True_autograd_True, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_data_dependent_in_out_device_cpu_dynamic_False_autograd_True, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_data_dependent_in_out_device_cuda_dynamic_True_autograd_True, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_data_dependent_in_out_mismatch_dynamic_False, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_outer_code_device_cpu_dynamic_False_autograd_True, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_outer_code_device_cpu_dynamic_True_autograd_True, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_outer_code_device_cuda_dynamic_False_autograd_False, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_parameters_device_cuda_dynamic_True_autograd_False, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_pytree_inputs_device_cpu_dynamic_True_autograd_False, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_sym_expr_cond_device_cpu_dynamic_True_autograd_True, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_with_sym_expr_cond_device_cuda_dynamic_False_autograd_True, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_zero_loop_device_cpu_dynamic_False, test/inductor/test_control_flow.py::WhileLoopTests::test_while_loop_zero_loop_device_cuda_dynamic_False, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cpu_dynamic_False_reverse_False_dim_0_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cpu_dynamic_False_reverse_False_dim_1_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cpu_dynamic_False_reverse_True_dim_0_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cpu_dynamic_False_reverse_True_dim_3_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cpu_dynamic_False_reverse_True_dim_3_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cpu_dynamic_True_reverse_False_dim_1_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cpu_dynamic_True_reverse_False_dim_3_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cpu_dynamic_True_reverse_True_dim_0_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cuda_dynamic_False_reverse_True_dim_3_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cuda_dynamic_True_reverse_False_dim_0_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cuda_dynamic_True_reverse_False_dim_0_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cuda_dynamic_True_reverse_False_dim_1_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_cond_in_scan_device_cuda_dynamic_True_reverse_False_dim_3_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_chunked_ce_device_cpu_dynamic_False_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_chunked_ce_device_cpu_dynamic_False_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_compare_chunked_ce_with_no_scan_device_cuda_dynamic_False, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cpu_dynamic_False_reverse_False_dim_0_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cpu_dynamic_False_reverse_False_dim_0_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cpu_dynamic_False_reverse_False_dim_0_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cpu_dynamic_False_reverse_False_dim_1_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cpu_dynamic_False_reverse_False_dim_3_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cpu_dynamic_False_reverse_True_dim_0_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cpu_dynamic_False_reverse_True_dim_1_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cpu_dynamic_False_reverse_True_dim_1_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cpu_dynamic_False_reverse_True_dim_3_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cpu_dynamic_True_reverse_True_dim_3_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cuda_dynamic_False_reverse_False_dim_1_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cuda_dynamic_False_reverse_False_dim_3_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cuda_dynamic_False_reverse_True_dim_0_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cuda_dynamic_True_reverse_False_dim_0_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cuda_dynamic_True_reverse_False_dim_1_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_conv_device_cuda_dynamic_True_reverse_True_dim_3_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_False_dim_0_pred_False_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_False_dim_0_pred_True_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_False_dim_1_pred_False_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_False_dim_1_pred_True_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_False_dim_1_pred_True_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_False_dim_1_pred_True_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_False_dim_3_pred_False_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_False_dim_3_pred_True_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_True_dim_0_pred_True_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_True_dim_0_pred_True_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_True_dim_0_pred_True_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_True_dim_1_pred_False_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_True_dim_1_pred_True_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_True_dim_1_pred_True_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_True_dim_1_pred_True_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_False_reverse_True_dim_3_pred_False_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_True_reverse_False_dim_0_pred_False_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_True_reverse_False_dim_0_pred_True_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_True_reverse_False_dim_0_pred_True_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_True_reverse_False_dim_1_pred_False_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_True_reverse_False_dim_1_pred_True_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_True_reverse_False_dim_3_pred_False_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_True_reverse_True_dim_0_pred_False_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_True_reverse_True_dim_0_pred_True_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cpu_dynamic_True_reverse_True_dim_1_pred_True_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_False_reverse_False_dim_3_pred_False_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_False_reverse_False_dim_3_pred_True_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_False_reverse_False_dim_3_pred_True_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_False_reverse_True_dim_0_pred_False_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_False_reverse_True_dim_1_pred_False_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_False_reverse_True_dim_1_pred_True_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_False_reverse_True_dim_3_pred_False_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_False_reverse_True_dim_3_pred_False_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_False_reverse_True_dim_3_pred_True_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_False_dim_1_pred_False_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_False_dim_1_pred_True_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_False_dim_3_pred_False_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_False_dim_3_pred_True_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_True_dim_0_pred_False_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_True_dim_0_pred_False_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_True_dim_0_pred_True_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_True_dim_1_pred_True_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_True_dim_3_pred_False_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_True_dim_3_pred_False_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_True_dim_3_pred_True_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_in_cond_device_cuda_dynamic_True_reverse_True_dim_3_pred_True_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cpu_dynamic_False_reverse_False_dim_0_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cpu_dynamic_False_reverse_False_dim_1_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cpu_dynamic_False_reverse_True_dim_0_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cpu_dynamic_False_reverse_True_dim_0_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cpu_dynamic_False_reverse_True_dim_1_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cpu_dynamic_True_reverse_False_dim_0_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cpu_dynamic_True_reverse_False_dim_1_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cpu_dynamic_True_reverse_False_dim_1_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cpu_dynamic_True_reverse_False_dim_3_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cpu_dynamic_True_reverse_True_dim_1_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_False_reverse_False_dim_0_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_False_reverse_False_dim_1_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_False_reverse_False_dim_1_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_False_reverse_False_dim_1_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_False_reverse_False_dim_3_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_False_reverse_True_dim_0_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_False_reverse_True_dim_0_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_False_reverse_True_dim_1_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_False_reverse_True_dim_3_scan_length_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_True_reverse_False_dim_1_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_True_reverse_True_dim_0_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_True_reverse_True_dim_0_scan_length_5_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_True_reverse_True_dim_1_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_True_reverse_True_dim_3_scan_length_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_nn_modules_device_cuda_dynamic_True_reverse_True_dim_3_scan_length_5_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_pytree_in_out_device_cpu_dynamic_False_reverse_True_dim_0_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_pytree_in_out_device_cpu_dynamic_True_reverse_False_dim_0_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_pytree_in_out_device_cpu_dynamic_True_reverse_False_dim_0_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_pytree_in_out_device_cpu_dynamic_True_reverse_True_dim_1_autograd_False, test/inductor/test_control_flow.py::ScanTests::test_scan_pytree_in_out_device_cuda_dynamic_False_reverse_True_dim_0_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_pytree_in_out_device_cuda_dynamic_False_reverse_True_dim_2_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_pytree_in_out_device_cuda_dynamic_True_reverse_True_dim_1_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_pytree_in_out_device_cuda_dynamic_True_reverse_True_dim_2_autograd_True, test/inductor/test_control_flow.py::ScanTests::test_scan_with_clamp_device_cuda_dynamic_False_autograd_True, test/inductor/test_control_flow.py::MapTests::test_map_nested_with_cond_device_cpu_dynamic_True_autograd_False, test/inductor/test_control_flow.py::MapTests::test_map_pytree_in_out_device_cpu_dynamic_False_autograd_True, test/inductor/test_control_flow.py::MapTests::test_map_simple_device_cpu_dynamic_False_autograd_True, test/inductor/test_control_flow.py::MapTests::test_map_simple_device_cuda_dynamic_True_autograd_False, test/inductor/test_control_flow.py::MapTests::test_map_simple_device_cuda_dynamic_True_autograd_True, test/inductor/test_control_flow.py::MapTests::test_map_simple_linear_with_view_device_cpu_dynamic_True_autograd_True
2025-11-03T18:19:00.5651043Z 
2025-11-03T18:19:11.1019936Z 
2025-11-03T18:19:11.1020720Z test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_1.1_f211631f45363bbe_.log
2025-11-03T18:19:11.1774776Z Running 3064 items in this shard: test/test_sparse.py::TestSparseLegacyAndDeprecation::test_legacy_warnings, test/test_sparse.py::TestSparseOneOff::test_cuda_from_cpu, test/test_sparse.py::TestSparseOneOff::test_cuda_sparse_cpu_dense_add, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseCSC_float64, 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test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int32_cuda_int64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int32_cuda_int8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int32_cuda_uint8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_bfloat16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_bool, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_complex128, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_complex64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_float16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_float32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_int16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_int32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_int64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_int8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseBSR_int64_cuda_uint8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_bfloat16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_bool, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_complex128, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_complex64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_float16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_float32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_int16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_int32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_int64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_int8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int32_cuda_uint8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_bfloat16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_bool, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_complex128, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_complex64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_float16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_float32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_int16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_int32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_int64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_int8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCOO_int64_cuda_uint8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_bfloat16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_bool, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_complex128, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_complex64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_float16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_float32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_int16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_int32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_int64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_int8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int32_cuda_uint8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_bfloat16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_bool, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_complex128, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_complex64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_float16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_float32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_int16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_int32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_int64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_int8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSC_int64_cuda_uint8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_bfloat16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_bool, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_complex128, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_complex64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_float16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_float32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_int16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_int32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_int64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_int8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int32_cuda_uint8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_bfloat16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_bool, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_complex128, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_complex64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_float16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_float32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_int16, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_int32, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_int64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_int8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_Strided_SparseCSR_int64_cuda_uint8, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_identity_SparseBSC_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_identity_SparseBSR_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_identity_SparseCOO_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_identity_SparseCSC_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_identity_SparseCSR_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_to_sparse_identity_Strided_cuda_float64, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_ccol_indices_SparseBSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_ccol_indices_SparseBSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_ccol_indices_SparseCOO_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_ccol_indices_SparseCSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_ccol_indices_SparseCSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_ccol_indices_Strided_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_coalesce_SparseBSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_coalesce_SparseBSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_coalesce_SparseCOO_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_coalesce_SparseCSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_coalesce_SparseCSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_coalesce_Strided_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_col_indices_SparseBSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_col_indices_SparseBSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_col_indices_SparseCOO_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_col_indices_SparseCSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_col_indices_SparseCSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_col_indices_Strided_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_crow_indices_SparseBSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_crow_indices_SparseBSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_crow_indices_SparseCOO_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_crow_indices_SparseCSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_crow_indices_SparseCSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_crow_indices_Strided_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_indices_SparseBSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_indices_SparseBSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_indices_SparseCOO_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_indices_SparseCSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_indices_SparseCSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_indices_Strided_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_is_coalesced_SparseBSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_is_coalesced_SparseBSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_is_coalesced_SparseCOO_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_is_coalesced_SparseCSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_is_coalesced_SparseCSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_is_coalesced_Strided_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_row_indices_SparseBSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_row_indices_SparseBSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_row_indices_SparseCOO_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_row_indices_SparseCSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_row_indices_SparseCSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_row_indices_Strided_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_values_SparseBSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_values_SparseBSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_values_SparseCOO_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_values_SparseCSC_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_values_SparseCSR_cuda, test/test_sparse.py::TestSparseAnyCUDA::test_unsupported_backend_error_message_values_Strided_cuda
2025-11-03T18:19:11.2513689Z 
2025-11-03T18:19:11.9840648Z Running test batch 'tests to run' cost 6415.78 seconds
2025-11-03T18:19:12.9669726Z 
2025-11-03T18:19:12.9670166Z real	107m1.066s
2025-11-03T18:19:12.9670500Z user	185m26.916s
2025-11-03T18:19:12.9670804Z sys	22m1.459s
2025-11-03T18:19:12.9671015Z + assert_git_not_dirty
2025-11-03T18:19:12.9671332Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-11-03T18:19:12.9672138Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-11-03T18:19:12.9676647Z ++ git status --porcelain
2025-11-03T18:19:12.9677404Z ++ grep -v '?? third_party'
2025-11-03T18:19:54.4670532Z ++ true
2025-11-03T18:19:54.4676885Z + git_status=
2025-11-03T18:19:54.4679159Z + [[ -n '' ]]
2025-11-03T18:19:54.4679419Z + test_aten
2025-11-03T18:19:54.4679669Z + echo 'Running ATen tests with pytorch lib'
2025-11-03T18:19:54.4680010Z Running ATen tests with pytorch lib
2025-11-03T18:19:54.4680291Z + [[ -n '' ]]
2025-11-03T18:19:54.4680530Z + echo 'Running test with the build folder'
2025-11-03T18:19:54.4680861Z Running test with the build folder
2025-11-03T18:19:54.4681149Z + TEST_BASE_DIR=build/bin
2025-11-03T18:19:54.4682184Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so build/bin
2025-11-03T18:19:54.4720810Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin
2025-11-03T18:19:54.4732950Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin
2025-11-03T18:19:54.4747422Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin
2025-11-03T18:19:54.4762946Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_nvshmem.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so build/bin
2025-11-03T18:19:54.4774241Z + ls build/bin
2025-11-03T18:19:54.4838675Z  BackoffTest
2025-11-03T18:19:54.4839252Z  CppSignature_test
2025-11-03T18:19:54.4839592Z  Dict_test
2025-11-03T18:19:54.4839905Z  Dimname_test
2025-11-03T18:19:54.4840124Z  FileStoreTest
2025-11-03T18:19:54.4840439Z  HashStoreTest
2025-11-03T18:19:54.4840733Z  IListRef_test
2025-11-03T18:19:54.4841082Z  KernelFunction_test
2025-11-03T18:19:54.4841421Z  List_test
2025-11-03T18:19:54.4841701Z  MaybeOwned_test
2025-11-03T18:19:54.4842030Z  NamedTensor_test
2025-11-03T18:19:54.4842408Z  ProcessGroupGlooAsyncTest
2025-11-03T18:19:54.4842716Z  ProcessGroupGlooTest
2025-11-03T18:19:54.4843040Z  ProcessGroupMPITest
2025-11-03T18:19:54.4843322Z  ProcessGroupNCCLErrorsTest
2025-11-03T18:19:54.4843584Z  ProcessGroupNCCLTest
2025-11-03T18:19:54.4843922Z  StorageUtils_test
2025-11-03T18:19:54.4844135Z  TCPStoreTest
2025-11-03T18:19:54.4844333Z  apply_utils_test
2025-11-03T18:19:54.4844530Z  atest
2025-11-03T18:19:54.4844684Z  backend_fallback_test
2025-11-03T18:19:54.4844849Z  basic
2025-11-03T18:19:54.4844997Z  broadcast_test
2025-11-03T18:19:54.4845209Z  c10_AllocatorConfig_test
2025-11-03T18:19:54.4845494Z  c10_ArrayRef_test
2025-11-03T18:19:54.4845661Z  c10_Bitset_test
2025-11-03T18:19:54.4845850Z  c10_CompileTimeFunctionPointer_test
2025-11-03T18:19:54.4846078Z  c10_ConstexprCrc_test
2025-11-03T18:19:54.4846267Z  c10_DeadlockDetection_test
2025-11-03T18:19:54.4846473Z  c10_DeviceGuard_test
2025-11-03T18:19:54.4846651Z  c10_Device_test
2025-11-03T18:19:54.4846817Z  c10_DispatchKeySet_test
2025-11-03T18:19:54.4847005Z  c10_Enumerate_test
2025-11-03T18:19:54.4847173Z  c10_Half_test
2025-11-03T18:19:54.4847335Z  c10_InlineDeviceGuard_test
2025-11-03T18:19:54.4847529Z  c10_InlineStreamGuard_test
2025-11-03T18:19:54.4847721Z  c10_IntrusiveList_test
2025-11-03T18:19:54.4847895Z  c10_LeftRight_test
2025-11-03T18:19:54.4848073Z  c10_Metaprogramming_test
2025-11-03T18:19:54.4848403Z  c10_NetworkFlow_test
2025-11-03T18:19:54.4848577Z  c10_Scalar_test
2025-11-03T18:19:54.4848741Z  c10_Semaphore_test
2025-11-03T18:19:54.4848902Z  c10_SizesAndStrides_test
2025-11-03T18:19:54.4849170Z  c10_StreamGuard_test
2025-11-03T18:19:54.4849341Z  c10_SymInt_test
2025-11-03T18:19:54.4849565Z  c10_Synchronized_test
2025-11-03T18:19:54.4849738Z  c10_ThreadLocal_test
2025-11-03T18:19:54.4849913Z  c10_TypeIndex_test
2025-11-03T18:19:54.4850071Z  c10_TypeList_test
2025-11-03T18:19:54.4850235Z  c10_TypeTraits_test
2025-11-03T18:19:54.4850407Z  c10_accumulate_test
2025-11-03T18:19:54.4850568Z  c10_bfloat16_test
2025-11-03T18:19:54.4850743Z  c10_bit_cast_test
2025-11-03T18:19:54.4850899Z  c10_complex_math_test
2025-11-03T18:19:54.4851071Z  c10_complex_test
2025-11-03T18:19:54.4851231Z  c10_cow_test
2025-11-03T18:19:54.4851398Z  c10_cuda_CUDAAssertionsTest_1_var_test
2025-11-03T18:19:54.4851664Z  c10_cuda_CUDAAssertionsTest_catches_stream
2025-11-03T18:19:54.4851979Z  c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device
2025-11-03T18:19:54.4852296Z  c10_cuda_CUDAAssertionsTest_from_2_processes
2025-11-03T18:19:54.4852618Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads
2025-11-03T18:19:54.4852995Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks
2025-11-03T18:19:54.4853342Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block
2025-11-03T18:19:54.4853605Z  c10_cuda_CUDATest
2025-11-03T18:19:54.4853782Z  c10_error_test
2025-11-03T18:19:54.4853945Z  c10_exception_test
2025-11-03T18:19:54.4854105Z  c10_flags_test
2025-11-03T18:19:54.4854259Z  c10_generic_math_test
2025-11-03T18:19:54.4854437Z  c10_intrusive_ptr_benchmark
2025-11-03T18:19:54.4854629Z  c10_intrusive_ptr_test
2025-11-03T18:19:54.4854795Z  c10_irange_test
2025-11-03T18:19:54.4854947Z  c10_lazy_test
2025-11-03T18:19:54.4855100Z  c10_logging_test
2025-11-03T18:19:54.4855262Z  c10_optional_test
2025-11-03T18:19:54.4855432Z  c10_ordered_preserving_dict_test
2025-11-03T18:19:54.4855632Z  c10_registry_test
2025-11-03T18:19:54.4855810Z  c10_small_vector_test
2025-11-03T18:19:54.4855979Z  c10_ssize_test
2025-11-03T18:19:54.4856128Z  c10_string_util_test
2025-11-03T18:19:54.4856304Z  c10_string_view_test
2025-11-03T18:19:54.4856518Z  c10_tempfile_test
2025-11-03T18:19:54.4856683Z  c10_typeid_test
2025-11-03T18:19:54.4856840Z  cpu_allocator_test
2025-11-03T18:19:54.4857006Z  cpu_generator_test
2025-11-03T18:19:54.4857176Z  cpu_profiling_allocator_test
2025-11-03T18:19:54.4857371Z  cpu_rng_test
2025-11-03T18:19:54.4857538Z  cuda_allocatorTraceTracker_test
2025-11-03T18:19:54.4857746Z  cuda_allocator_test
2025-11-03T18:19:54.4857918Z  cuda_apply_test
2025-11-03T18:19:54.4858083Z  cuda_atomic_ops_test
2025-11-03T18:19:54.4858262Z  cuda_caching_host_allocator_test
2025-11-03T18:19:54.4858475Z  cuda_complex_math_test
2025-11-03T18:19:54.4858654Z  cuda_complex_test
2025-11-03T18:19:54.4858819Z  cuda_cub_test
2025-11-03T18:19:54.4858972Z  cuda_cudnn_test
2025-11-03T18:19:54.4859146Z  cuda_device_test
2025-11-03T18:19:54.4859322Z  cuda_distributions_test
2025-11-03T18:19:54.4859502Z  cuda_dlconvertor_test
2025-11-03T18:19:54.4859688Z  cuda_exchange_device_test
2025-11-03T18:19:54.4859877Z  cuda_generator_test
2025-11-03T18:19:54.4860048Z  cuda_half_test
2025-11-03T18:19:54.4860207Z  cuda_integer_divider_test
2025-11-03T18:19:54.4860396Z  cuda_optional_test
2025-11-03T18:19:54.4860578Z  cuda_packedtensoraccessor_test
2025-11-03T18:19:54.4860794Z  cuda_reportMemoryUsage_test
2025-11-03T18:19:54.4860980Z  cuda_stream_test
2025-11-03T18:19:54.4861147Z  cuda_vectorized_test
2025-11-03T18:19:54.4861322Z  dlconvertor_test
2025-11-03T18:19:54.4861484Z  example_allreduce
2025-11-03T18:19:54.4861646Z  extension_backend_test
2025-11-03T18:19:54.4861825Z  half_test
2025-11-03T18:19:54.4861978Z  inline_container_test
2025-11-03T18:19:54.4862146Z  ivalue_test
2025-11-03T18:19:54.4862301Z  kernel_function_legacy_test
2025-11-03T18:19:54.4862491Z  kernel_function_test
2025-11-03T18:19:54.4862671Z  kernel_lambda_legacy_test
2025-11-03T18:19:54.4862905Z  kernel_lambda_test
2025-11-03T18:19:54.4863071Z  kernel_stackbased_test
2025-11-03T18:19:54.4863246Z  lazy_tensor_test
2025-11-03T18:19:54.4863410Z  legacy_vmap_test
2025-11-03T18:19:54.4863611Z  libc10.so
2025-11-03T18:19:54.4863750Z  libc10_cuda.so
2025-11-03T18:19:54.4863920Z  libc10d_cuda_test.so
2025-11-03T18:19:54.4864142Z  libcaffe2_nvrtc.so
2025-11-03T18:19:54.4864300Z 'libmkldnn*'
2025-11-03T18:19:54.4864449Z 'libnccl*'
2025-11-03T18:19:54.4864596Z  libtorch.so
2025-11-03T18:19:54.4864748Z  libtorch_cpu.so
2025-11-03T18:19:54.4864901Z  libtorch_cuda.so
2025-11-03T18:19:54.4865068Z  libtorch_cuda_linalg.so
2025-11-03T18:19:54.4865254Z  libtorch_global_deps.so
2025-11-03T18:19:54.4865429Z  libtorch_nvshmem.so
2025-11-03T18:19:54.4865602Z  libtorch_python.so
2025-11-03T18:19:54.4865766Z  libtorchbind_test.so
2025-11-03T18:19:54.4865964Z  make_boxed_from_unboxed_functor_test
2025-11-03T18:19:54.4866182Z  math_kernel_test
2025-11-03T18:19:54.4866354Z  memory_format_test
2025-11-03T18:19:54.4866532Z  memory_overlapping_test
2025-11-03T18:19:54.4866723Z  mobile_memory_cleanup
2025-11-03T18:19:54.4866896Z  native_test
2025-11-03T18:19:54.4867053Z  op_allowlist_test
2025-11-03T18:19:54.4867230Z  op_registration_test
2025-11-03T18:19:54.4867419Z  operator_name_test
2025-11-03T18:19:54.4867581Z  operators_test
2025-11-03T18:19:54.4868027Z  packedtensoraccessor_test
2025-11-03T18:19:54.4868221Z  parallel_benchmark
2025-11-03T18:19:54.4868382Z  pow_test
2025-11-03T18:19:54.4868532Z  protoc
2025-11-03T18:19:54.4868678Z  protoc-3.13.0.0
2025-11-03T18:19:54.4868836Z  quantized_test
2025-11-03T18:19:54.4868996Z  reduce_ops_test
2025-11-03T18:19:54.4869162Z  reportMemoryUsage_test
2025-11-03T18:19:54.4869342Z  scalar_tensor_test
2025-11-03T18:19:54.4869494Z  scalar_test
2025-11-03T18:19:54.4869648Z  stride_properties_test
2025-11-03T18:19:54.4869826Z  tensor_iterator_test
2025-11-03T18:19:54.4869988Z  test_aoti_abi_check
2025-11-03T18:19:54.4870152Z  test_api
2025-11-03T18:19:54.4870298Z  test_cpp_rpc
2025-11-03T18:19:54.4870471Z  test_dist_autograd
2025-11-03T18:19:54.4870628Z  test_jit
2025-11-03T18:19:54.4870772Z  test_lazy
2025-11-03T18:19:54.4870918Z  test_parallel
2025-11-03T18:19:54.4871152Z  test_vec_half_AVX2
2025-11-03T18:19:54.4871315Z  test_vec_half_AVX512
2025-11-03T18:19:54.4871495Z  test_vec_half_DEFAULT
2025-11-03T18:19:54.4871669Z  thread_init_test
2025-11-03T18:19:54.4871835Z  torch_shm_manager
2025-11-03T18:19:54.4871993Z  type_ptr_test
2025-11-03T18:19:54.4872146Z  type_test
2025-11-03T18:19:54.4872298Z  undefined_tensor_test
2025-11-03T18:19:54.4872501Z  vec_test_all_types_AVX2
2025-11-03T18:19:54.4872684Z  vec_test_all_types_AVX512
2025-11-03T18:19:54.4872873Z  vec_test_all_types_DEFAULT
2025-11-03T18:19:54.4873064Z  verify_api_visibility
2025-11-03T18:19:54.4873230Z  weakref_test
2025-11-03T18:19:54.4873376Z  wrapdim_test
2025-11-03T18:19:54.4873529Z  xla_tensor_test
2025-11-03T18:19:54.4873707Z + aten/tools/run_tests.sh build/bin
2025-11-03T18:19:54.4880046Z + set -e
2025-11-03T18:19:54.4883326Z ++ dirname aten/tools/run_tests.sh
2025-11-03T18:19:54.4903824Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2025-11-03T18:19:54.4904250Z + export CPP_TESTS_DIR=build/bin
2025-11-03T18:19:54.4904532Z + CPP_TESTS_DIR=build/bin
2025-11-03T18:19:54.4904764Z + VALGRIND=ON
2025-11-03T18:19:54.4906306Z + 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
2025-11-03T18:19:58.7070931Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:19:58.7141589Z Found test times from artifacts
2025-11-03T18:19:58.7432700Z Found test times from artifacts
2025-11-03T18:19:58.7441716Z Running all tests
2025-11-03T18:19:58.7446199Z Running parallel tests on 3 processes
2025-11-03T18:19:58.7448096Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:19:58.7448725Z   Serial tests (0):
2025-11-03T18:19:58.7448980Z   Parallel tests (19):
2025-11-03T18:19:58.7449383Z     cpp/Dict_test 1/1
2025-11-03T18:19:58.7449616Z     cpp/Dimname_test 1/1
2025-11-03T18:19:58.7449869Z     cpp/NamedTensor_test 1/1
2025-11-03T18:19:58.7450119Z     cpp/apply_utils_test 1/1
2025-11-03T18:19:58.7450350Z     cpp/atest 1/1
2025-11-03T18:19:58.7450566Z     cpp/basic 1/1
2025-11-03T18:19:58.7450768Z     cpp/broadcast_test 1/1
2025-11-03T18:19:58.7451011Z     cpp/cpu_generator_test 1/1
2025-11-03T18:19:58.7451258Z     cpp/dlconvertor_test 1/1
2025-11-03T18:19:58.7451524Z     cpp/extension_backend_test 1/1
2025-11-03T18:19:58.7451788Z     cpp/lazy_tensor_test 1/1
2025-11-03T18:19:58.7452029Z     cpp/legacy_vmap_test 1/1
2025-11-03T18:19:58.7452275Z     cpp/native_test 1/1
2025-11-03T18:19:58.7452512Z     cpp/operators_test 1/1
2025-11-03T18:19:58.7452742Z     cpp/scalar_tensor_test 1/1
2025-11-03T18:19:58.7452987Z     cpp/scalar_test 1/1
2025-11-03T18:19:58.7453228Z     cpp/tensor_iterator_test 1/1
2025-11-03T18:19:58.7453496Z     cpp/undefined_tensor_test 1/1
2025-11-03T18:19:58.7453754Z     cpp/wrapdim_test 1/1
2025-11-03T18:19:58.7454137Z Name: excluded (est. time: 0.0min)
2025-11-03T18:19:58.7454440Z   Serial tests (0):
2025-11-03T18:19:58.7454649Z   Parallel tests (0):
2025-11-03T18:19:58.7454962Z Running cpp/Dict_test 1/1 ... [2025-11-03 18:19:58.745214]
2025-11-03T18:19:58.7455307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:19:58.7457412Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:19:58.745557]
2025-11-03T18:20:05.6732370Z 
2025-11-03T18:20:05.6733143Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_6bf5d1ea0d199f12_.log
2025-11-03T18:20:05.6733750Z 
2025-11-03T18:20:06.8734905Z Uploading artifacts took 1.20 seconds
2025-11-03T18:20:06.8735663Z Running cpp/Dimname_test 1/1 ... [2025-11-03 18:20:06.873223]
2025-11-03T18:20:06.8736069Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:20:06.8738319Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:20:06.873589]
2025-11-03T18:20:13.7013781Z 
2025-11-03T18:20:13.7014613Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_d39cdc2c4ec4eac9_.log
2025-11-03T18:20:13.7015221Z 
2025-11-03T18:20:13.7015433Z Running cpp/NamedTensor_test 1/1 ... [2025-11-03 18:20:13.701219]
2025-11-03T18:20:13.7015814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:20:13.7017950Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:20:13.701585]
2025-11-03T18:20:20.5291057Z 
2025-11-03T18:20:20.5292614Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_f9975132a968144a_.log
2025-11-03T18:20:20.5293812Z 
2025-11-03T18:20:20.5294003Z Running cpp/apply_utils_test 1/1 ... [2025-11-03 18:20:20.528899]
2025-11-03T18:20:20.5294311Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:20:20.5297551Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:20:20.529518]
2025-11-03T18:20:27.4067102Z 
2025-11-03T18:20:27.4068350Z 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_07f13c9bb578c621_.log
2025-11-03T18:20:27.4069002Z 
2025-11-03T18:20:27.4069176Z Running cpp/atest 1/1 ... [2025-11-03 18:20:27.406527]
2025-11-03T18:20:27.4069812Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:20:27.4071948Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:20:27.406973]
2025-11-03T18:20:34.3340204Z 
2025-11-03T18:20:34.3341369Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_3cae9c35323a42a0_.log
2025-11-03T18:20:34.3341931Z 
2025-11-03T18:20:34.3342095Z Running cpp/basic 1/1 ... [2025-11-03 18:20:34.333890]
2025-11-03T18:20:34.3342452Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:20:34.3344837Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:20:34.334273]
2025-11-03T18:20:41.1117776Z 
2025-11-03T18:20:41.1119294Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_5702e627ee1aecba_.log
2025-11-03T18:20:41.1120607Z 
2025-11-03T18:20:41.1121049Z Running cpp/broadcast_test 1/1 ... [2025-11-03 18:20:41.111521]
2025-11-03T18:20:41.1121413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:20:41.1122647Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:20:41.112094]
2025-11-03T18:20:47.9897179Z 
2025-11-03T18:20:47.9898179Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_203e810f74b0274e_.log
2025-11-03T18:20:47.9898789Z 
2025-11-03T18:20:47.9898973Z Running cpp/cpu_generator_test 1/1 ... [2025-11-03 18:20:47.989573]
2025-11-03T18:20:47.9899364Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:20:47.9900877Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:20:47.989893]
2025-11-03T18:20:54.8168928Z 
2025-11-03T18:20:54.8169807Z 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_e4926bea27144e77_.log
2025-11-03T18:20:54.8170478Z 
2025-11-03T18:20:54.8170946Z Running cpp/dlconvertor_test 1/1 ... [2025-11-03 18:20:54.816710]
2025-11-03T18:20:54.8171383Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:20:54.8173499Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:20:54.817105]
2025-11-03T18:21:01.6450520Z 
2025-11-03T18:21:01.6451647Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_d3833bbbee7bea8f_.log
2025-11-03T18:21:01.6452273Z 
2025-11-03T18:21:01.6452493Z Running cpp/extension_backend_test 1/1 ... [2025-11-03 18:21:01.644901]
2025-11-03T18:21:01.6452892Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:21:01.6455321Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:21:01.645293]
2025-11-03T18:21:08.5231538Z 
2025-11-03T18:21:08.5232567Z 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_8c2f542354e7770a_.log
2025-11-03T18:21:08.5233305Z 
2025-11-03T18:21:08.5233509Z Running cpp/lazy_tensor_test 1/1 ... [2025-11-03 18:21:08.523056]
2025-11-03T18:21:08.5233912Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:21:08.5236296Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:21:08.523413]
2025-11-03T18:21:15.4005620Z 
2025-11-03T18:21:15.4006557Z 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_ef977033189b355e_.log
2025-11-03T18:21:15.4007206Z 
2025-11-03T18:21:15.4007766Z Running cpp/legacy_vmap_test 1/1 ... [2025-11-03 18:21:15.400396]
2025-11-03T18:21:15.4008167Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:21:15.4009877Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:21:15.400759]
2025-11-03T18:21:22.2281452Z 
2025-11-03T18:21:22.2282860Z 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_e1f94a722563655d_.log
2025-11-03T18:21:22.2284021Z 
2025-11-03T18:21:22.2284333Z Running cpp/native_test 1/1 ... [2025-11-03 18:21:22.228012]
2025-11-03T18:21:22.2284928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:21:22.2286794Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:21:22.228469]
2025-11-03T18:21:29.1060769Z 
2025-11-03T18:21:29.1061725Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_8392284c2b1fabe5_.log
2025-11-03T18:21:29.1062506Z 
2025-11-03T18:21:29.1062788Z Running cpp/operators_test 1/1 ... [2025-11-03 18:21:29.105876]
2025-11-03T18:21:29.1063337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:21:29.1065030Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:21:29.106275]
2025-11-03T18:21:35.9841135Z 
2025-11-03T18:21:35.9842147Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_204ce1d8734d8e8f_.log
2025-11-03T18:21:35.9842976Z 
2025-11-03T18:21:35.9843242Z Running cpp/scalar_tensor_test 1/1 ... [2025-11-03 18:21:35.983954]
2025-11-03T18:21:35.9843881Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:21:35.9846817Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:21:35.984411]
2025-11-03T18:21:42.8624431Z 
2025-11-03T18:21:42.8625675Z 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_564ccfaaf0fa94bd_.log
2025-11-03T18:21:42.8626354Z 
2025-11-03T18:21:42.8626527Z Running cpp/scalar_test 1/1 ... [2025-11-03 18:21:42.862273]
2025-11-03T18:21:42.8626890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:21:42.8628847Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:21:42.862630]
2025-11-03T18:21:49.7402035Z 
2025-11-03T18:21:49.7403895Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_44597290ef12da49_.log
2025-11-03T18:21:49.7404725Z 
2025-11-03T18:21:49.7404896Z Running cpp/tensor_iterator_test 1/1 ... [2025-11-03 18:21:49.739932]
2025-11-03T18:21:49.7405253Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:21:49.7407214Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:21:49.740507]
2025-11-03T18:21:56.6180725Z 
2025-11-03T18:21:56.6181719Z 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_4995a20361a16083_.log
2025-11-03T18:21:56.6182628Z 
2025-11-03T18:21:56.6182930Z Running cpp/undefined_tensor_test 1/1 ... [2025-11-03 18:21:56.617890]
2025-11-03T18:21:56.6183334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:21:56.6185097Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:21:56.618243]
2025-11-03T18:22:03.4956645Z 
2025-11-03T18:22:03.4958290Z 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_685090bd5485eb19_.log
2025-11-03T18:22:03.4959548Z 
2025-11-03T18:22:03.4959865Z Running cpp/wrapdim_test 1/1 ... [2025-11-03 18:22:03.495387]
2025-11-03T18:22:03.4960154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:03.4961666Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:03.495952]
2025-11-03T18:22:10.4240521Z 
2025-11-03T18:22:10.4241737Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_ae08c8081ae61f1d_.log
2025-11-03T18:22:10.4242345Z 
2025-11-03T18:22:13.3723481Z Running cpp/Dict_test 1/1 ... [2025-11-03 18:22:13.371880]
2025-11-03T18:22:13.3724059Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:13.3726719Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:13.372393]
2025-11-03T18:22:13.3750992Z Running cpp/Dimname_test 1/1 ... [2025-11-03 18:22:13.374860]
2025-11-03T18:22:13.3751556Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:13.3754572Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:13.375232]
2025-11-03T18:22:13.3939191Z Running cpp/NamedTensor_test 1/1 ... [2025-11-03 18:22:13.393619]
2025-11-03T18:22:13.3939696Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:13.3942967Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:13.394029]
2025-11-03T18:22:24.0127590Z 
2025-11-03T18:22:24.0128569Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_89336eb1fb842589_.log
2025-11-03T18:22:24.0129239Z 
2025-11-03T18:22:24.4349702Z 
2025-11-03T18:22:24.4350927Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_ac99410a01ce8e4a_.log
2025-11-03T18:22:24.4352924Z 
2025-11-03T18:22:27.9827279Z Running cpp/apply_utils_test 1/1 ... [2025-11-03 18:22:27.982149]
2025-11-03T18:22:27.9827758Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:27.9829068Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:27.982641]
2025-11-03T18:22:28.4918885Z Running cpp/atest 1/1 ... [2025-11-03 18:22:28.491421]
2025-11-03T18:22:28.4919504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:28.4923048Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:28.492018]
2025-11-03T18:22:29.3737993Z 
2025-11-03T18:22:29.3739036Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_d7ab952ad9cf312a_.log
2025-11-03T18:22:29.3739929Z 
2025-11-03T18:22:33.2443354Z Running cpp/basic 1/1 ... [2025-11-03 18:22:33.243818]
2025-11-03T18:22:33.2444044Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:33.2445967Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:33.244272]
2025-11-03T18:22:37.7193914Z 
2025-11-03T18:22:37.7195371Z 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_eb55ad5e46044f9c_.log
2025-11-03T18:22:37.7196123Z 
2025-11-03T18:22:39.8314607Z 
2025-11-03T18:22:39.8315581Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_9cf7b72afbb59051_.log
2025-11-03T18:22:39.8316264Z 
2025-11-03T18:22:41.7487199Z Running cpp/broadcast_test 1/1 ... [2025-11-03 18:22:41.748112]
2025-11-03T18:22:41.7487668Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:41.7488654Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:41.748511]
2025-11-03T18:22:43.5464823Z 
2025-11-03T18:22:43.5465635Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_419aa9bc568bd4a9_.log
2025-11-03T18:22:43.5466198Z 
2025-11-03T18:22:43.8229451Z Running cpp/cpu_generator_test 1/1 ... [2025-11-03 18:22:43.822467]
2025-11-03T18:22:43.8230101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:43.8232036Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:43.822890]
2025-11-03T18:22:47.4353625Z Running cpp/dlconvertor_test 1/1 ... [2025-11-03 18:22:47.434800]
2025-11-03T18:22:47.4354334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:47.4356228Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:47.435236]
2025-11-03T18:22:50.7884861Z 
2025-11-03T18:22:50.7885846Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_4e8d12342f726204_.log
2025-11-03T18:22:50.7886657Z 
2025-11-03T18:22:55.0634190Z 
2025-11-03T18:22:55.0635136Z 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_1b7dc5c98a8fde0b_.log
2025-11-03T18:22:55.0635801Z 
2025-11-03T18:22:55.0746091Z Running cpp/extension_backend_test 1/1 ... [2025-11-03 18:22:55.074282]
2025-11-03T18:22:55.0746546Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:55.0749575Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:55.074695]
2025-11-03T18:22:56.8212044Z 
2025-11-03T18:22:56.8213382Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_ca2439d83279b52e_.log
2025-11-03T18:22:56.8214101Z 
2025-11-03T18:22:58.9881575Z Running cpp/lazy_tensor_test 1/1 ... [2025-11-03 18:22:58.987629]
2025-11-03T18:22:58.9882158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:22:58.9883510Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:22:58.988069]
2025-11-03T18:23:00.6244830Z Running cpp/legacy_vmap_test 1/1 ... [2025-11-03 18:23:00.623946]
2025-11-03T18:23:00.6245455Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:23:00.6247007Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:23:00.624405]
2025-11-03T18:23:03.8085891Z 
2025-11-03T18:23:03.8086965Z 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_a2c8db8c797c612f_.log
2025-11-03T18:23:03.8087821Z 
2025-11-03T18:23:07.8789695Z Running cpp/native_test 1/1 ... [2025-11-03 18:23:07.878506]
2025-11-03T18:23:07.8790237Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:23:07.8792809Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:23:07.879007]
2025-11-03T18:23:08.0227752Z 
2025-11-03T18:23:08.0228888Z 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_fa7f8a2a1edaa317_.log
2025-11-03T18:23:08.0229737Z 
2025-11-03T18:23:12.0821388Z Running cpp/operators_test 1/1 ... [2025-11-03 18:23:12.081652]
2025-11-03T18:23:12.0822337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:23:12.0824139Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:23:12.082123]
2025-11-03T18:23:12.8717489Z 
2025-11-03T18:23:12.8718221Z 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_561fc1e4f49da9f3_.log
2025-11-03T18:23:12.8719001Z 
2025-11-03T18:23:16.7656105Z Running cpp/scalar_tensor_test 1/1 ... [2025-11-03 18:23:16.765140]
2025-11-03T18:23:16.7656550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:23:16.7658892Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:23:16.765607]
2025-11-03T18:23:17.5140535Z 
2025-11-03T18:23:17.5141561Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_168d72b266471ada_.log
2025-11-03T18:23:17.5142190Z 
2025-11-03T18:23:21.4706546Z Running cpp/scalar_test 1/1 ... [2025-11-03 18:23:21.470173]
2025-11-03T18:23:21.4707169Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:23:21.4708866Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:23:21.470607]
2025-11-03T18:23:21.6186463Z 
2025-11-03T18:23:21.6187351Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_91ee51413066217f_.log
2025-11-03T18:23:21.6187987Z 
2025-11-03T18:23:25.6802230Z Running cpp/tensor_iterator_test 1/1 ... [2025-11-03 18:23:25.679716]
2025-11-03T18:23:25.6802921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:23:25.6805994Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:23:25.680226]
2025-11-03T18:23:26.2004532Z 
2025-11-03T18:23:26.2005868Z 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_f5abef35e3b428f1_.log
2025-11-03T18:23:26.2006639Z 
2025-11-03T18:23:30.3288304Z Running cpp/undefined_tensor_test 1/1 ... [2025-11-03 18:23:30.328322]
2025-11-03T18:23:30.3288960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:23:30.3291542Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:23:30.328884]
2025-11-03T18:23:31.1063183Z 
2025-11-03T18:23:31.1064390Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_d3b9525e8e0b5a51_.log
2025-11-03T18:23:31.1065128Z 
2025-11-03T18:23:35.1376069Z Running cpp/wrapdim_test 1/1 ... [2025-11-03 18:23:35.136919]
2025-11-03T18:23:35.1376653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:23:35.1377594Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:23:35.137346]
2025-11-03T18:23:39.6642085Z 
2025-11-03T18:23:39.6643183Z 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_f0a2acdce87f8cf8_.log
2025-11-03T18:23:39.6643880Z 
2025-11-03T18:23:44.6256237Z 
2025-11-03T18:23:44.6257168Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_fb18c8750d8b12fd_.log
2025-11-03T18:23:44.6257776Z 
2025-11-03T18:23:44.6381132Z 
2025-11-03T18:23:44.6381832Z 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_088857cff9dd737a_.log
2025-11-03T18:23:44.6383558Z 
2025-11-03T18:23:45.5250396Z Running test batch 'tests to run' cost 226.78 seconds
2025-11-03T18:23:46.1312803Z + run_if_exists tensor_interop_test
2025-11-03T18:23:46.1313209Z + local test_name=tensor_interop_test
2025-11-03T18:23:46.1313968Z + [[ -x build/bin/tensor_interop_test ]]
2025-11-03T18:23:46.1314443Z + echo 'Warning: tensor_interop_test does not exist.'
2025-11-03T18:23:46.1314756Z Warning: tensor_interop_test does not exist.
2025-11-03T18:23:46.1315002Z + run_if_exists cudnn_test
2025-11-03T18:23:46.1315194Z + local test_name=cudnn_test
2025-11-03T18:23:46.1315402Z + [[ -x build/bin/cudnn_test ]]
2025-11-03T18:23:46.1315649Z + echo 'Warning: cudnn_test does not exist.'
2025-11-03T18:23:46.1315892Z Warning: cudnn_test does not exist.
2025-11-03T18:23:46.1316111Z + run_if_exists cuda_generator_test
2025-11-03T18:23:46.1316330Z + local test_name=cuda_generator_test
2025-11-03T18:23:46.1316561Z + [[ -x build/bin/cuda_generator_test ]]
2025-11-03T18:23:46.1316887Z + python test/run_test.py --cpp --verbose -i cpp/cuda_generator_test
2025-11-03T18:23:50.3915119Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:23:50.3986451Z Found test times from artifacts
2025-11-03T18:23:50.4278015Z Found test times from artifacts
2025-11-03T18:23:50.4287469Z Running all tests
2025-11-03T18:23:50.4290675Z Running parallel tests on 3 processes
2025-11-03T18:23:50.4291012Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:23:50.4291353Z   Serial tests (0):
2025-11-03T18:23:50.4291674Z   Parallel tests (1):
2025-11-03T18:23:50.4291921Z     cpp/cuda_generator_test 1/1
2025-11-03T18:23:50.4292314Z Name: excluded (est. time: 0.0min)
2025-11-03T18:23:50.4292576Z   Serial tests (0):
2025-11-03T18:23:50.4292781Z   Parallel tests (0):
2025-11-03T18:23:50.4293256Z Running cpp/cuda_generator_test 1/1 ... [2025-11-03 18:23:50.429087]
2025-11-03T18:23:50.4293639Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:23:50.4296729Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:23:50.429454]
2025-11-03T18:23:57.3071900Z 
2025-11-03T18:23:57.3073483Z cpp/cuda_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_generator_test_1.1_786ae95d126ec8ee_.log
2025-11-03T18:23:57.3074374Z 
2025-11-03T18:23:58.5625640Z Uploading artifacts took 1.26 seconds
2025-11-03T18:24:01.5282875Z Running cpp/cuda_generator_test 1/1 ... [2025-11-03 18:24:01.527783]
2025-11-03T18:24:01.5283606Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:24:01.5285889Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:24:01.528264]
2025-11-03T18:24:11.4617442Z 
2025-11-03T18:24:11.4618589Z cpp/cuda_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_generator_test_1.1_447bb955bb9856dd_.log
2025-11-03T18:24:11.4619294Z 
2025-11-03T18:24:12.3607502Z Running test batch 'tests to run' cost 21.93 seconds
2025-11-03T18:24:12.9729619Z + run_if_exists apply_test
2025-11-03T18:24:12.9729980Z + local test_name=apply_test
2025-11-03T18:24:12.9730290Z + [[ -x build/bin/apply_test ]]
2025-11-03T18:24:12.9730592Z + echo 'Warning: apply_test does not exist.'
2025-11-03T18:24:12.9730919Z Warning: apply_test does not exist.
2025-11-03T18:24:12.9731203Z + run_if_exists stream_test
2025-11-03T18:24:12.9731457Z + local test_name=stream_test
2025-11-03T18:24:12.9731718Z + [[ -x build/bin/stream_test ]]
2025-11-03T18:24:12.9732002Z + echo 'Warning: stream_test does not exist.'
2025-11-03T18:24:12.9732300Z Warning: stream_test does not exist.
2025-11-03T18:24:12.9732568Z + run_if_exists cuda_half_test
2025-11-03T18:24:12.9732807Z + local test_name=cuda_half_test
2025-11-03T18:24:12.9733063Z + [[ -x build/bin/cuda_half_test ]]
2025-11-03T18:24:12.9733435Z + python test/run_test.py --cpp --verbose -i cpp/cuda_half_test
2025-11-03T18:24:17.1891926Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:24:17.1961647Z Found test times from artifacts
2025-11-03T18:24:17.2252111Z Found test times from artifacts
2025-11-03T18:24:17.2260595Z Running all tests
2025-11-03T18:24:17.2264413Z Running parallel tests on 3 processes
2025-11-03T18:24:17.2264676Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:24:17.2264906Z   Serial tests (0):
2025-11-03T18:24:17.2265155Z   Parallel tests (1):
2025-11-03T18:24:17.2265480Z     cpp/cuda_half_test 1/1
2025-11-03T18:24:17.2265687Z Name: excluded (est. time: 0.0min)
2025-11-03T18:24:17.2265897Z   Serial tests (0):
2025-11-03T18:24:17.2266081Z   Parallel tests (0):
2025-11-03T18:24:17.2266346Z Running cpp/cuda_half_test 1/1 ... [2025-11-03 18:24:17.226450]
2025-11-03T18:24:17.2266633Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:24:17.2270276Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_half_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:24:17.226790]
2025-11-03T18:24:24.1540577Z 
2025-11-03T18:24:24.1541561Z cpp/cuda_half_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_half_test_1.1_9e73f7070d40ffb0_.log
2025-11-03T18:24:24.1542178Z 
2025-11-03T18:24:25.5873289Z Uploading artifacts took 1.43 seconds
2025-11-03T18:24:28.5513330Z Running cpp/cuda_half_test 1/1 ... [2025-11-03 18:24:28.550844]
2025-11-03T18:24:28.5513818Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:24:28.5515430Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_half_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:24:28.551275]
2025-11-03T18:24:36.5316364Z 
2025-11-03T18:24:36.5317217Z cpp/cuda_half_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_half_test_1.1_a071844db5da2274_.log
2025-11-03T18:24:36.5317828Z 
2025-11-03T18:24:37.3973102Z Running test batch 'tests to run' cost 20.17 seconds
2025-11-03T18:24:37.9934423Z + run_if_exists cuda_vectorized_test
2025-11-03T18:24:37.9934918Z + local test_name=cuda_vectorized_test
2025-11-03T18:24:37.9936551Z + [[ -x build/bin/cuda_vectorized_test ]]
2025-11-03T18:24:37.9937118Z + python test/run_test.py --cpp --verbose -i cpp/cuda_vectorized_test
2025-11-03T18:24:42.1740385Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:24:42.1816819Z Found test times from artifacts
2025-11-03T18:24:42.2103094Z Found test times from artifacts
2025-11-03T18:24:42.2111890Z Running all tests
2025-11-03T18:24:42.2115071Z Running parallel tests on 3 processes
2025-11-03T18:24:42.2129860Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:24:42.2130128Z   Serial tests (0):
2025-11-03T18:24:42.2130326Z   Parallel tests (1):
2025-11-03T18:24:42.2130553Z     cpp/cuda_vectorized_test 1/1
2025-11-03T18:24:42.2130795Z Name: excluded (est. time: 0.0min)
2025-11-03T18:24:42.2131019Z   Serial tests (0):
2025-11-03T18:24:42.2131205Z   Parallel tests (0):
2025-11-03T18:24:42.2131478Z Running cpp/cuda_vectorized_test 1/1 ... [2025-11-03 18:24:42.211527]
2025-11-03T18:24:42.2131798Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:24:42.2132355Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_vectorized_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:24:42.211874]
2025-11-03T18:24:49.1899181Z 
2025-11-03T18:24:49.1900325Z cpp/cuda_vectorized_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_vectorized_test_1.1_d278f352ac282445_.log
2025-11-03T18:24:49.1900975Z 
2025-11-03T18:24:50.5171196Z Uploading artifacts took 1.33 seconds
2025-11-03T18:24:53.5459289Z Running cpp/cuda_vectorized_test 1/1 ... [2025-11-03 18:24:53.545440]
2025-11-03T18:24:53.5460104Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:24:53.5461468Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_vectorized_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:24:53.545863]
2025-11-03T18:25:01.6761738Z 
2025-11-03T18:25:01.6762938Z cpp/cuda_vectorized_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_vectorized_test_1.1_040c2d63290af5e9_.log
2025-11-03T18:25:01.6763771Z 
2025-11-03T18:25:02.5709057Z Running test batch 'tests to run' cost 20.36 seconds
2025-11-03T18:25:03.1672584Z + run_if_exists cuda_distributions_test
2025-11-03T18:25:03.1672989Z + local test_name=cuda_distributions_test
2025-11-03T18:25:03.1673337Z + [[ -x build/bin/cuda_distributions_test ]]
2025-11-03T18:25:03.1673770Z + python test/run_test.py --cpp --verbose -i cpp/cuda_distributions_test
2025-11-03T18:25:07.3668689Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:25:07.3738883Z Found test times from artifacts
2025-11-03T18:25:07.4026719Z Found test times from artifacts
2025-11-03T18:25:07.4035614Z Running all tests
2025-11-03T18:25:07.4038525Z Running parallel tests on 3 processes
2025-11-03T18:25:07.4038859Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:25:07.4039143Z   Serial tests (0):
2025-11-03T18:25:07.4039362Z   Parallel tests (1):
2025-11-03T18:25:07.4039700Z     cpp/cuda_distributions_test 1/1
2025-11-03T18:25:07.4040177Z Name: excluded (est. time: 0.0min)
2025-11-03T18:25:07.4040436Z   Serial tests (0):
2025-11-03T18:25:07.4040658Z   Parallel tests (0):
2025-11-03T18:25:07.4041194Z Running cpp/cuda_distributions_test 1/1 ... [2025-11-03 18:25:07.403890]
2025-11-03T18:25:07.4041590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:25:07.4044561Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_distributions_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:25:07.404231]
2025-11-03T18:25:14.2825166Z 
2025-11-03T18:25:14.2826243Z cpp/cuda_distributions_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_distributions_test_1.1_d744d5b34e1e3651_.log
2025-11-03T18:25:14.2826848Z 
2025-11-03T18:25:15.5518557Z Uploading artifacts took 1.27 seconds
2025-11-03T18:25:18.5528038Z Running cpp/cuda_distributions_test 1/1 ... [2025-11-03 18:25:18.552317]
2025-11-03T18:25:18.5528793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:25:18.5530176Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_distributions_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:25:18.552764]
2025-11-03T18:25:27.3341855Z 
2025-11-03T18:25:27.3342837Z cpp/cuda_distributions_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_distributions_test_1.1_89ef8c96fa9a6f88_.log
2025-11-03T18:25:27.3343553Z 
2025-11-03T18:25:28.2123194Z Running test batch 'tests to run' cost 20.81 seconds
2025-11-03T18:25:28.8048353Z + run_if_exists cuda_optional_test
2025-11-03T18:25:28.8048770Z + local test_name=cuda_optional_test
2025-11-03T18:25:28.8049089Z + [[ -x build/bin/cuda_optional_test ]]
2025-11-03T18:25:28.8049506Z + python test/run_test.py --cpp --verbose -i cpp/cuda_optional_test
2025-11-03T18:25:33.0158507Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:25:33.0229152Z Found test times from artifacts
2025-11-03T18:25:33.0517802Z Found test times from artifacts
2025-11-03T18:25:33.0526902Z Running all tests
2025-11-03T18:25:33.0529828Z Running parallel tests on 3 processes
2025-11-03T18:25:33.0530161Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:25:33.0530498Z   Serial tests (0):
2025-11-03T18:25:33.0530817Z   Parallel tests (1):
2025-11-03T18:25:33.0531067Z     cpp/cuda_optional_test 1/1
2025-11-03T18:25:33.0531506Z Name: excluded (est. time: 0.0min)
2025-11-03T18:25:33.0531862Z   Serial tests (0):
2025-11-03T18:25:33.0532108Z   Parallel tests (0):
2025-11-03T18:25:33.0532498Z Running cpp/cuda_optional_test 1/1 ... [2025-11-03 18:25:33.053008]
2025-11-03T18:25:33.0532927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:25:33.0536040Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_optional_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:25:33.053353]
2025-11-03T18:25:39.9314640Z 
2025-11-03T18:25:39.9315579Z cpp/cuda_optional_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_optional_test_1.1_8a8599f0f1f5e845_.log
2025-11-03T18:25:39.9316222Z 
2025-11-03T18:25:41.2558520Z Uploading artifacts took 1.32 seconds
2025-11-03T18:25:44.2516460Z Running cpp/cuda_optional_test 1/1 ... [2025-11-03 18:25:44.251177]
2025-11-03T18:25:44.2517089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:25:44.2518758Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_optional_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:25:44.251624]
2025-11-03T18:25:52.0310400Z 
2025-11-03T18:25:52.0311388Z cpp/cuda_optional_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_optional_test_1.1_a3e931e397020301_.log
2025-11-03T18:25:52.0312419Z 
2025-11-03T18:25:52.8958128Z Running test batch 'tests to run' cost 19.84 seconds
2025-11-03T18:25:53.5043454Z + run_if_exists cuda_tensor_interop_test
2025-11-03T18:25:53.5043963Z + local test_name=cuda_tensor_interop_test
2025-11-03T18:25:53.5044315Z + [[ -x build/bin/cuda_tensor_interop_test ]]
2025-11-03T18:25:53.5044684Z + echo 'Warning: cuda_tensor_interop_test does not exist.'
2025-11-03T18:25:53.5045065Z Warning: cuda_tensor_interop_test does not exist.
2025-11-03T18:25:53.5045392Z + run_if_exists cuda_complex_test
2025-11-03T18:25:53.5045667Z + local test_name=cuda_complex_test
2025-11-03T18:25:53.5045987Z + [[ -x build/bin/cuda_complex_test ]]
2025-11-03T18:25:53.5046382Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_test
2025-11-03T18:25:57.7057825Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:25:57.7129706Z Found test times from artifacts
2025-11-03T18:25:57.7418106Z Found test times from artifacts
2025-11-03T18:25:57.7426790Z Running all tests
2025-11-03T18:25:57.7429861Z Running parallel tests on 3 processes
2025-11-03T18:25:57.7430126Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:25:57.7430360Z   Serial tests (0):
2025-11-03T18:25:57.7430543Z   Parallel tests (1):
2025-11-03T18:25:57.7430866Z     cpp/cuda_complex_test 1/1
2025-11-03T18:25:57.7431154Z Name: excluded (est. time: 0.0min)
2025-11-03T18:25:57.7431373Z   Serial tests (0):
2025-11-03T18:25:57.7431548Z   Parallel tests (0):
2025-11-03T18:25:57.7432091Z Running cpp/cuda_complex_test 1/1 ... [2025-11-03 18:25:57.743012]
2025-11-03T18:25:57.7432545Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:25:57.7435582Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_complex_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:25:57.743359]
2025-11-03T18:26:04.5705808Z 
2025-11-03T18:26:04.5706685Z cpp/cuda_complex_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_complex_test_1.1_90d5b8d32b4de47a_.log
2025-11-03T18:26:04.5707311Z 
2025-11-03T18:26:05.6717655Z Uploading artifacts took 1.10 seconds
2025-11-03T18:26:08.6751171Z Running cpp/cuda_complex_test 1/1 ... [2025-11-03 18:26:08.674673]
2025-11-03T18:26:08.6751629Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:26:08.6753962Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_complex_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:26:08.675101]
2025-11-03T18:26:18.0080561Z 
2025-11-03T18:26:18.0081436Z cpp/cuda_complex_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_complex_test_1.1_32be9bb9e51fa53a_.log
2025-11-03T18:26:18.0082377Z 
2025-11-03T18:26:18.8725375Z Running test batch 'tests to run' cost 21.13 seconds
2025-11-03T18:26:19.4665918Z + run_if_exists cuda_complex_math_test
2025-11-03T18:26:19.4666342Z + local test_name=cuda_complex_math_test
2025-11-03T18:26:19.4666689Z + [[ -x build/bin/cuda_complex_math_test ]]
2025-11-03T18:26:19.4667115Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_math_test
2025-11-03T18:26:23.6970449Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:26:23.7041778Z Found test times from artifacts
2025-11-03T18:26:23.7335187Z Found test times from artifacts
2025-11-03T18:26:23.7344596Z Running all tests
2025-11-03T18:26:23.7348131Z Running parallel tests on 3 processes
2025-11-03T18:26:23.7348604Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:26:23.7348970Z   Serial tests (0):
2025-11-03T18:26:23.7349270Z   Parallel tests (1):
2025-11-03T18:26:23.7349635Z     cpp/cuda_complex_math_test 1/1
2025-11-03T18:26:23.7350035Z Name: excluded (est. time: 0.0min)
2025-11-03T18:26:23.7350394Z   Serial tests (0):
2025-11-03T18:26:23.7350690Z   Parallel tests (0):
2025-11-03T18:26:23.7351177Z Running cpp/cuda_complex_math_test 1/1 ... [2025-11-03 18:26:23.734867]
2025-11-03T18:26:23.7351711Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:26:23.7355482Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_complex_math_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:26:23.735299]
2025-11-03T18:26:30.6144967Z 
2025-11-03T18:26:30.6146012Z cpp/cuda_complex_math_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_complex_math_test_1.1_218fcf5423ecfee2_.log
2025-11-03T18:26:30.6146711Z 
2025-11-03T18:26:31.8104330Z Uploading artifacts took 1.20 seconds
2025-11-03T18:26:34.8026029Z Running cpp/cuda_complex_math_test 1/1 ... [2025-11-03 18:26:34.802115]
2025-11-03T18:26:34.8026818Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:26:34.8028332Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_complex_math_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:26:34.802531]
2025-11-03T18:26:48.7442402Z 
2025-11-03T18:26:48.7443566Z cpp/cuda_complex_math_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_complex_math_test_1.1_0cd2a4cef027c7cb_.log
2025-11-03T18:26:48.7444521Z 
2025-11-03T18:26:49.6248230Z Running test batch 'tests to run' cost 25.89 seconds
2025-11-03T18:26:50.2298546Z + run_if_exists cuda_cub_test
2025-11-03T18:26:50.2298915Z + local test_name=cuda_cub_test
2025-11-03T18:26:50.2299214Z + [[ -x build/bin/cuda_cub_test ]]
2025-11-03T18:26:50.2299575Z + python test/run_test.py --cpp --verbose -i cpp/cuda_cub_test
2025-11-03T18:26:54.4547218Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:26:54.4617611Z Found test times from artifacts
2025-11-03T18:26:54.4904519Z Found test times from artifacts
2025-11-03T18:26:54.4913433Z Running all tests
2025-11-03T18:26:54.4916471Z Running parallel tests on 3 processes
2025-11-03T18:26:54.4916815Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:26:54.4917112Z   Serial tests (0):
2025-11-03T18:26:54.4917343Z   Parallel tests (1):
2025-11-03T18:26:54.4917574Z     cpp/cuda_cub_test 1/1
2025-11-03T18:26:54.4917906Z Name: excluded (est. time: 0.0min)
2025-11-03T18:26:54.4918242Z   Serial tests (0):
2025-11-03T18:26:54.4918459Z   Parallel tests (0):
2025-11-03T18:26:54.4918779Z Running cpp/cuda_cub_test 1/1 ... [2025-11-03 18:26:54.491705]
2025-11-03T18:26:54.4919132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:26:54.4922499Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_cub_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:26:54.492055]
2025-11-03T18:27:01.4202219Z 
2025-11-03T18:27:01.4203293Z cpp/cuda_cub_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_cub_test_1.1_e2bccd0d6de4e0ae_.log
2025-11-03T18:27:01.4204005Z 
2025-11-03T18:27:02.7485890Z Uploading artifacts took 1.33 seconds
2025-11-03T18:27:05.7986463Z Running cpp/cuda_cub_test 1/1 ... [2025-11-03 18:27:05.798168]
2025-11-03T18:27:05.7986919Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:27:05.7989486Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_cub_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:27:05.798626]
2025-11-03T18:27:13.8791280Z 
2025-11-03T18:27:13.8792163Z cpp/cuda_cub_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_cub_test_1.1_6cb24dc51944da40_.log
2025-11-03T18:27:13.8792776Z 
2025-11-03T18:27:14.7442182Z Running test batch 'tests to run' cost 20.25 seconds
2025-11-03T18:27:15.3439866Z + run_if_exists cuda_atomic_ops_test
2025-11-03T18:27:15.3440258Z + local test_name=cuda_atomic_ops_test
2025-11-03T18:27:15.3440611Z + [[ -x build/bin/cuda_atomic_ops_test ]]
2025-11-03T18:27:15.3441008Z + python test/run_test.py --cpp --verbose -i cpp/cuda_atomic_ops_test
2025-11-03T18:27:19.5523549Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:27:19.5594793Z Found test times from artifacts
2025-11-03T18:27:19.5885418Z Found test times from artifacts
2025-11-03T18:27:19.5894821Z Running all tests
2025-11-03T18:27:19.5897831Z Running parallel tests on 3 processes
2025-11-03T18:27:19.5898246Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:27:19.5898474Z   Serial tests (0):
2025-11-03T18:27:19.5898656Z   Parallel tests (1):
2025-11-03T18:27:19.5898879Z     cpp/cuda_atomic_ops_test 1/1
2025-11-03T18:27:19.5899107Z Name: excluded (est. time: 0.0min)
2025-11-03T18:27:19.5899320Z   Serial tests (0):
2025-11-03T18:27:19.5899703Z   Parallel tests (0):
2025-11-03T18:27:19.5900194Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-11-03 18:27:19.589836]
2025-11-03T18:27:19.5900663Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:27:19.5904024Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_atomic_ops_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:27:19.590190]
2025-11-03T18:27:26.4679554Z 
2025-11-03T18:27:26.4680993Z cpp/cuda_atomic_ops_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_atomic_ops_test_1.1_57f7ea3bbafa7997_.log
2025-11-03T18:27:26.4682129Z 
2025-11-03T18:27:27.7753059Z Uploading artifacts took 1.31 seconds
2025-11-03T18:27:30.7681273Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-11-03 18:27:30.767652]
2025-11-03T18:27:30.7681789Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:27:30.7683210Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_atomic_ops_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:27:30.768094]
2025-11-03T18:27:39.5493912Z 
2025-11-03T18:27:39.5495356Z cpp/cuda_atomic_ops_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_atomic_ops_test_1.1_82bb6fc5b4f97717_.log
2025-11-03T18:27:39.5496007Z 
2025-11-03T18:27:40.4415725Z Running test batch 'tests to run' cost 20.85 seconds
2025-11-03T18:27:41.0450912Z + run_if_exists cuda_allocator_test
2025-11-03T18:27:41.0451305Z + local test_name=cuda_allocator_test
2025-11-03T18:27:41.0451636Z + [[ -x build/bin/cuda_allocator_test ]]
2025-11-03T18:27:41.0452050Z + python test/run_test.py --cpp --verbose -i cpp/cuda_allocator_test
2025-11-03T18:27:45.2831473Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:27:45.2901328Z Found test times from artifacts
2025-11-03T18:27:45.3191135Z Found test times from artifacts
2025-11-03T18:27:45.3199883Z Running all tests
2025-11-03T18:27:45.3202743Z Running parallel tests on 3 processes
2025-11-03T18:27:45.3203253Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:27:45.3203548Z   Serial tests (0):
2025-11-03T18:27:45.3203911Z   Parallel tests (1):
2025-11-03T18:27:45.3204157Z     cpp/cuda_allocator_test 1/1
2025-11-03T18:27:45.3204424Z Name: excluded (est. time: 0.0min)
2025-11-03T18:27:45.3204684Z   Serial tests (0):
2025-11-03T18:27:45.3204897Z   Parallel tests (0):
2025-11-03T18:27:45.3205222Z Running cpp/cuda_allocator_test 1/1 ... [2025-11-03 18:27:45.320301]
2025-11-03T18:27:45.3205585Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:27:45.3208676Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_allocator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:27:45.320635]
2025-11-03T18:27:52.2000726Z 
2025-11-03T18:27:52.2001613Z cpp/cuda_allocator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_allocator_test_1.1_84f44c577d4ea24a_.log
2025-11-03T18:27:52.2002290Z 
2025-11-03T18:27:53.4083800Z Uploading artifacts took 1.21 seconds
2025-11-03T18:27:56.4359895Z Running cpp/cuda_allocator_test 1/1 ... [2025-11-03 18:27:56.435509]
2025-11-03T18:27:56.4360604Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:27:56.4362141Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_allocator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-11-03 18:27:56.435928]
2025-11-03T18:28:04.5664702Z 
2025-11-03T18:28:04.5665756Z cpp/cuda_allocator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_allocator_test_1.1_68a9f587c4b80ca6_.log
2025-11-03T18:28:04.5666638Z 
2025-11-03T18:28:05.4166973Z Running test batch 'tests to run' cost 20.1 seconds
2025-11-03T18:28:06.0171651Z + '[' ON == ON ']'
2025-11-03T18:28:06.0172735Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA'
2025-11-03T18:28:06.0485239Z ==172719== Memcheck, a memory error detector
2025-11-03T18:28:06.0485691Z ==172719== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al.
2025-11-03T18:28:06.0486236Z ==172719== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info
2025-11-03T18:28:06.0486729Z ==172719== Command: build/bin/basic --gtest_filter=-*CUDA
2025-11-03T18:28:06.0487051Z ==172719== 
2025-11-03T18:28:06.4124482Z ==172719== Warning: set address range perms: large range [0x4a9d000, 0x19bf6000) (defined)
2025-11-03T18:28:06.4125116Z ==172719== Warning: set address range perms: large range [0x59c5000, 0x16d09000) (defined)
2025-11-03T18:28:09.0269659Z ==172719== Warning: set address range perms: large range [0x19bf6000, 0x2ce5f000) (defined)
2025-11-03T18:28:10.1148075Z ==172719== Warning: set address range perms: large range [0x2e75b000, 0x45c10000) (noaccess)
2025-11-03T18:28:10.1148774Z ==172719== Warning: set address range perms: large range [0x2e800000, 0x45ab5000) (defined)
2025-11-03T18:28:10.1581110Z ==172719== Warning: set address range perms: large range [0x45ab5000, 0x56e7a000) (noaccess)
2025-11-03T18:28:10.1581775Z ==172719== Warning: set address range perms: large range [0x45c00000, 0x56dc5000) (defined)
2025-11-03T18:28:10.1940469Z ==172719== Warning: set address range perms: large range [0x46bbd000, 0x56dc5000) (defined)
2025-11-03T18:28:10.2100991Z ==172719== Warning: set address range perms: large range [0x59c92000, 0x73439000) (defined)
2025-11-03T18:28:10.2102133Z ==172719== Warning: set address range perms: large range [0x5ec47000, 0x73083000) (defined)
2025-11-03T18:28:10.9614597Z ==172719== Warning: set address range perms: large range [0x73439000, 0x89eab000) (defined)
2025-11-03T18:28:10.9615265Z ==172719== Warning: set address range perms: large range [0x735ef000, 0x89e54000) (defined)
2025-11-03T18:28:11.0850474Z ==172719== Warning: set address range perms: large range [0x99d0b000, 0xcc1fd000) (noaccess)
2025-11-03T18:28:11.0851408Z ==172719== Warning: set address range perms: large range [0x99e00000, 0xcc0f2000) (defined)
2025-11-03T18:28:55.7251904Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2025-11-03T18:28:55.7490599Z Note: Google Test filter = -*CUDA
2025-11-03T18:28:55.7551186Z [==========] Running 6 tests from 1 test suite.
2025-11-03T18:28:55.7565340Z [----------] Global test environment set-up.
2025-11-03T18:28:55.7616037Z [----------] 6 tests from BasicTest
2025-11-03T18:28:55.7636557Z [ RUN      ] BasicTest.BasicTestCPU
2025-11-03T18:28:56.0008607Z ==172719== Warning: noted but unhandled ioctl 0x30000001 with no size/direction hints.
2025-11-03T18:28:56.0009240Z ==172719==    This could cause spurious value errors to appear.
2025-11-03T18:28:56.0009768Z ==172719==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-11-03T18:28:56.0013745Z ==172719== Warning: noted but unhandled ioctl 0x4b with no size/direction hints.
2025-11-03T18:28:56.0014283Z ==172719==    This could cause spurious value errors to appear.
2025-11-03T18:28:56.0014704Z ==172719==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-11-03T18:28:56.0020570Z ==172719== Warning: noted but unhandled ioctl 0x27 with no size/direction hints.
2025-11-03T18:28:56.0021074Z ==172719==    This could cause spurious value errors to appear.
2025-11-03T18:28:56.0021558Z ==172719==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-11-03T18:28:56.1475554Z ==172719== Warning: noted but unhandled ioctl 0x25 with no size/direction hints.
2025-11-03T18:28:56.1476233Z ==172719==    This could cause spurious value errors to appear.
2025-11-03T18:28:56.1476754Z ==172719==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-11-03T18:28:56.2448485Z ==172719== Warning: noted but unhandled ioctl 0x46 with no size/direction hints.
2025-11-03T18:28:56.2449362Z ==172719==    This could cause spurious value errors to appear.
2025-11-03T18:28:56.2449895Z ==172719==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-11-03T18:28:56.2456952Z ==172719== Warning: noted but unhandled ioctl 0x17 with no size/direction hints.
2025-11-03T18:28:56.2457461Z ==172719==    This could cause spurious value errors to appear.
2025-11-03T18:28:56.2457854Z ==172719==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-11-03T18:28:56.2552407Z ==172719== Warning: set address range perms: large range [0x200000000, 0x300200000) (noaccess)
2025-11-03T18:28:57.9972470Z    1145 ms
2025-11-03T18:28:58.3411774Z    38 ms
2025-11-03T18:28:58.4013689Z    53 ms
2025-11-03T18:29:00.8952356Z [       OK ] BasicTest.BasicTestCPU (5129 ms)
2025-11-03T18:29:00.9694468Z [ RUN      ] BasicTest.BasicTestHalfCPU
2025-11-03T18:29:01.4190608Z    396 ms
2025-11-03T18:29:01.6752831Z    28 ms
2025-11-03T18:29:01.7303628Z    51 ms
2025-11-03T18:29:01.8385554Z [       OK ] BasicTest.BasicTestHalfCPU (861 ms)
2025-11-03T18:29:01.8386748Z [ RUN      ] BasicTest.FactoryMethodsTest
2025-11-03T18:29:01.9246770Z ==172719== Warning: noted but unhandled ioctl 0x19 with no size/direction hints.
2025-11-03T18:29:01.9247318Z ==172719==    This could cause spurious value errors to appear.
2025-11-03T18:29:01.9247838Z ==172719==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-11-03T18:29:01.9516825Z ==172719== Warning: noted but unhandled ioctl 0x49 with no size/direction hints.
2025-11-03T18:29:01.9517348Z ==172719==    This could cause spurious value errors to appear.
2025-11-03T18:29:01.9517895Z ==172719==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-11-03T18:29:01.9526143Z ==172719== Warning: noted but unhandled ioctl 0x21 with no size/direction hints.
2025-11-03T18:29:01.9526932Z ==172719==    This could cause spurious value errors to appear.
2025-11-03T18:29:01.9527607Z ==172719==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-11-03T18:29:02.0871366Z ==172719== Warning: noted but unhandled ioctl 0x1b with no size/direction hints.
2025-11-03T18:29:02.0871938Z ==172719==    This could cause spurious value errors to appear.
2025-11-03T18:29:02.0872471Z ==172719==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-11-03T18:29:03.0757122Z [       OK ] BasicTest.FactoryMethodsTest (1236 ms)
2025-11-03T18:29:03.0757524Z [ RUN      ] BasicTest.BasicStdTestCPU
2025-11-03T18:29:03.1713877Z Simple example: called once
2025-11-03T18:29:03.1802390Z throw: call_once will retry
2025-11-03T18:29:03.2056470Z Didn't throw, call_once will not attempt again
2025-11-03T18:29:03.2082422Z [       OK ] BasicTest.BasicStdTestCPU (132 ms)
2025-11-03T18:29:03.2082825Z [ RUN      ] BasicTest.TestForBlobResizeCPU
2025-11-03T18:29:03.2243097Z [       OK ] BasicTest.TestForBlobResizeCPU (15 ms)
2025-11-03T18:29:03.2243489Z [ RUN      ] BasicTest.TestForBlobStridesResizeCPU
2025-11-03T18:29:03.2284981Z [       OK ] BasicTest.TestForBlobStridesResizeCPU (4 ms)
2025-11-03T18:29:03.2301403Z [----------] 6 tests from BasicTest (7465 ms total)
2025-11-03T18:29:03.2301640Z 
2025-11-03T18:29:03.2312206Z [----------] Global test environment tear-down
2025-11-03T18:29:03.2332792Z [==========] 6 tests from 1 test suite ran. (7486 ms total)
2025-11-03T18:29:03.2343598Z [  PASSED  ] 6 tests.
2025-11-03T18:29:05.5235099Z ==172719== 
2025-11-03T18:29:05.5251584Z ==172719== HEAP SUMMARY:
2025-11-03T18:29:05.5251973Z ==172719==     in use at exit: 22,414,174 bytes in 24,812 blocks
2025-11-03T18:29:05.5252478Z ==172719==   total heap usage: 1,057,043 allocs, 1,032,231 frees, 279,839,002 bytes allocated
2025-11-03T18:29:05.5252872Z ==172719== 
2025-11-03T18:29:08.7996059Z ==172719== LEAK SUMMARY:
2025-11-03T18:29:08.7996473Z ==172719==    definitely lost: 288 bytes in 3 blocks
2025-11-03T18:29:08.7996845Z ==172719==    indirectly lost: 192 bytes in 2 blocks
2025-11-03T18:29:08.7997483Z ==172719==      possibly lost: 97,200 bytes in 186 blocks
2025-11-03T18:29:08.7997900Z ==172719==    still reachable: 22,316,494 bytes in 24,621 blocks
2025-11-03T18:29:08.7998260Z ==172719==         suppressed: 0 bytes in 0 blocks
2025-11-03T18:29:08.7998672Z ==172719== Rerun with --leak-check=full to see details of leaked memory
2025-11-03T18:29:08.7999040Z ==172719== 
2025-11-03T18:29:08.7999337Z ==172719== For lists of detected and suppressed errors, rerun with: -s
2025-11-03T18:29:08.7999812Z ==172719== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 4 from 4)
2025-11-03T18:29:09.0284235Z + [[ -x build/bin/tensor_interop_test ]]
2025-11-03T18:29:09.0285718Z + [[ -n '' ]]
2025-11-03T18:29:09.0285960Z + assert_git_not_dirty
2025-11-03T18:29:09.0286268Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-11-03T18:29:09.0286661Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-11-03T18:29:09.0293703Z ++ git status --porcelain
2025-11-03T18:29:09.0295544Z ++ grep -v '?? third_party'
2025-11-03T18:29:09.3601972Z ++ true
2025-11-03T18:29:09.3605917Z + git_status=
2025-11-03T18:29:09.3606549Z + [[ -n '' ]]
2025-11-03T18:29:09.3606946Z + test_libtorch 1
2025-11-03T18:29:09.3607169Z + local SHARD=1
2025-11-03T18:29:09.3607475Z + [[ default != \s\l\o\w ]]
2025-11-03T18:29:09.3607886Z + echo 'Testing libtorch'
2025-11-03T18:29:09.3608122Z Testing libtorch
2025-11-03T18:29:09.3609209Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T18:29:09.3621702Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T18:29:09.3634326Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T18:29:09.3648628Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T18:29:09.3661105Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T18:29:09.3677119Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_nvshmem.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T18:29:09.3691128Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T18:29:09.3703392Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T18:29:09.3704352Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T18:29:09.3704878Z + [[ -z 1 ]]
2025-11-03T18:29:09.3705076Z + [[ 1 == \1 ]]
2025-11-03T18:29:09.3705280Z + test_libtorch_api
2025-11-03T18:29:09.3705591Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-11-03T18:29:09.3706254Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist
2025-11-03T18:29:09.4134908Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ...
2025-11-03T18:29:09.7463311Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ...
2025-11-03T18:29:09.7955861Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ...
2025-11-03T18:29:09.9050297Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ...
2025-11-03T18:29:09.9540005Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-11-03T18:29:09.9540700Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-11-03T18:29:09.9541280Z + OMP_NUM_THREADS=2
2025-11-03T18:29:09.9541644Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-11-03T18:29:09.9542206Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest'
2025-11-03T18:29:14.1451538Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-11-03T18:29:14.1521479Z Found test times from artifacts
2025-11-03T18:29:14.1809094Z Found test times from artifacts
2025-11-03T18:29:14.1817754Z Running all tests
2025-11-03T18:29:14.1820864Z Running parallel tests on 3 processes
2025-11-03T18:29:14.1821360Z Name: tests to run (est. time: 0.0min)
2025-11-03T18:29:14.1821808Z   Serial tests (0):
2025-11-03T18:29:14.1822160Z   Parallel tests (1):
2025-11-03T18:29:14.1822516Z     cpp/test_api 1/1
2025-11-03T18:29:14.1822761Z Name: excluded (est. time: 0.0min)
2025-11-03T18:29:14.1823018Z   Serial tests (0):
2025-11-03T18:29:14.1823234Z   Parallel tests (0):
2025-11-03T18:29:14.1827190Z Running cpp/test_api 1/1 ... [2025-11-03 18:29:14.182522]
2025-11-03T18:29:14.1827755Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:29:14.1831323Z Executing ['pytest', '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_api', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-11-03 18:29:14.182864]
2025-11-03T18:29:21.6629911Z 
2025-11-03T18:29:21.6631364Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_2685c40fde406fdf_.log
2025-11-03T18:29:21.6631959Z 
2025-11-03T18:29:22.9199937Z Uploading artifacts took 1.26 seconds
2025-11-03T18:29:25.8595292Z Running cpp/test_api 1/1 ... [2025-11-03 18:29:25.859087]
2025-11-03T18:29:25.8595727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-11-03T18:29:25.8597926Z Executing ['pytest', '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_api', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-11-03 18:29:25.859517]
2025-11-03T18:32:27.6598998Z 
2025-11-03T18:32:27.6599880Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_bf1bfb67a4b27387_.log
2025-11-03T18:32:27.6612251Z 
2025-11-03T18:32:28.4922440Z Running test batch 'tests to run' cost 194.31 seconds
2025-11-03T18:32:29.0781310Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *android* ]]
2025-11-03T18:32:29.0781763Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *cuda* ]]
2025-11-03T18:32:29.0782095Z + [[ -z 1 ]]
2025-11-03T18:32:29.0782290Z + [[ 1 == \2 ]]
2025-11-03T18:32:29.0782512Z + assert_git_not_dirty
2025-11-03T18:32:29.0782802Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-11-03T18:32:29.0783166Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-11-03T18:32:29.0789158Z ++ git status --porcelain
2025-11-03T18:32:29.0789400Z ++ grep -v '?? third_party'
2025-11-03T18:32:29.4069485Z ++ true
2025-11-03T18:32:29.4070798Z + git_status=
2025-11-03T18:32:29.4071031Z + [[ -n '' ]]
2025-11-03T18:32:29.4071678Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-11-03T18:32:29.4072907Z + sccache_epilogue
2025-11-03T18:32:29.4073288Z + echo '::group::Sccache Compilation Log'
2025-11-03T18:32:29.4073939Z ##[group]Sccache Compilation Log
2025-11-03T18:32:29.4074522Z + echo '=================== sccache compilation log ==================='
2025-11-03T18:32:29.4074933Z =================== sccache compilation log ===================
2025-11-03T18:32:29.4075463Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-11-03T18:32:29.4194700Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-11-03T18:32:29.4195358Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-11-03T18:32:29.4195816Z + sccache --show-stats
2025-11-03T18:32:29.4220069Z Compile requests                    1430
2025-11-03T18:32:29.4220526Z Compile requests executed            153
2025-11-03T18:32:29.4220832Z Cache hits                            85
2025-11-03T18:32:29.4221126Z Cache hits (C/C++)                    85
2025-11-03T18:32:29.4221413Z Cache misses                          67
2025-11-03T18:32:29.4221700Z Cache misses (C/C++)                  67
2025-11-03T18:32:29.4221965Z Cache hits rate                    55.92 %
2025-11-03T18:32:29.4222252Z Cache hits rate (C/C++)            55.92 %
2025-11-03T18:32:29.4222524Z Cache timeouts                         0
2025-11-03T18:32:29.4222787Z Cache read errors                      0
2025-11-03T18:32:29.4223042Z Forced recaches                        0
2025-11-03T18:32:29.4223303Z Cache write errors                     0
2025-11-03T18:32:29.4223559Z Cache errors                           0
2025-11-03T18:32:29.4223900Z Compilations                          67
2025-11-03T18:32:29.4224211Z Compilation failures                   1
2025-11-03T18:32:29.4224485Z Non-cacheable compilations             0
2025-11-03T18:32:29.4224757Z Non-cacheable calls                    5
2025-11-03T18:32:29.4225259Z Non-compilation calls               1272
2025-11-03T18:32:29.4225481Z Unsupported compiler calls             0
2025-11-03T18:32:29.4225708Z Average cache write                0.061 s
2025-11-03T18:32:29.4226068Z Average compiler                  11.810 s
2025-11-03T18:32:29.4226385Z Average cache read hit             0.077 s
2025-11-03T18:32:29.4226611Z Failed distributed compilations        0
2025-11-03T18:32:29.4226766Z 
2025-11-03T18:32:29.4226837Z Non-cacheable reasons:
2025-11-03T18:32:29.4227032Z -E                                     5
2025-11-03T18:32:29.4227182Z 
2025-11-03T18:32:29.4227378Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-11-03T18:32:29.4227718Z Version (client)                0.10.0
2025-11-03T18:32:29.4227936Z + sccache --stop-server
2025-11-03T18:32:29.4243328Z Stopping sccache server...
2025-11-03T18:32:29.4246412Z Compile requests                    1430
2025-11-03T18:32:29.4246899Z Compile requests executed            153
2025-11-03T18:32:29.4247371Z Cache hits                            85
2025-11-03T18:32:29.4247799Z Cache hits (C/C++)                    85
2025-11-03T18:32:29.4248233Z Cache misses                          67
2025-11-03T18:32:29.4248684Z Cache misses (C/C++)                  67
2025-11-03T18:32:29.4249133Z Cache hits rate                    55.92 %
2025-11-03T18:32:29.4249585Z Cache hits rate (C/C++)            55.92 %
2025-11-03T18:32:29.4250034Z Cache timeouts                         0
2025-11-03T18:32:29.4250458Z Cache read errors                      0
2025-11-03T18:32:29.4250882Z Forced recaches                        0
2025-11-03T18:32:29.4251312Z Cache write errors                     0
2025-11-03T18:32:29.4251738Z Cache errors                           0
2025-11-03T18:32:29.4252170Z Compilations                          67
2025-11-03T18:32:29.4252608Z Compilation failures                   1
2025-11-03T18:32:29.4253049Z Non-cacheable compilations             0
2025-11-03T18:32:29.4253507Z Non-cacheable calls                    5
2025-11-03T18:32:29.4253958Z Non-compilation calls               1272
2025-11-03T18:32:29.4254412Z Unsupported compiler calls             0
2025-11-03T18:32:29.4255039Z Average cache write                0.061 s
2025-11-03T18:32:29.4255449Z Average compiler                  11.810 s
2025-11-03T18:32:29.4255805Z Average cache read hit             0.077 s
2025-11-03T18:32:29.4256173Z Failed distributed compilations        0
2025-11-03T18:32:29.4256418Z 
2025-11-03T18:32:29.4256527Z Non-cacheable reasons:
2025-11-03T18:32:29.4256801Z -E                                     5
2025-11-03T18:32:29.4257039Z 
2025-11-03T18:32:29.4257300Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-11-03T18:32:29.4257821Z Version (client)                0.10.0
2025-11-03T18:32:29.4258158Z + echo ::endgroup::
2025-11-03T18:32:29.4258644Z ##[endgroup]
2025-11-03T18:32:29.4258881Z + cleanup_workspace
2025-11-03T18:32:29.4259449Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-11-03T18:32:29.4260346Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-11-03T18:32:29.4261067Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-11-03T18:32:29.4261584Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-11-03T18:32:29.4262223Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-11-03T18:32:29.4262865Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-11-03T18:32:29.4263233Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-11-03T18:32:30.4511193Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-11-03T18:32:30.4511573Z with:
2025-11-03T18:32:30.4511768Z   benchmark-results-dir: test/test-reports
2025-11-03T18:32:30.4512010Z   dry-run: false
2025-11-03T18:32:30.4512179Z   schema-version: v3
2025-11-03T18:32:30.4512534Z   github-token: ***
2025-11-03T18:32:30.4512834Z env:
2025-11-03T18:32:30.4512991Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:32:30.4513242Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:32:30.4513722Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:32:30.4514068Z ##[endgroup]
2025-11-03T18:32:30.4541818Z ##[group]Run set -eux
2025-11-03T18:32:30.4542039Z set -eux
2025-11-03T18:32:30.4542201Z 
2025-11-03T18:32:30.4542360Z if [[ -n "" ]]; then
2025-11-03T18:32:30.4542557Z   source ""
2025-11-03T18:32:30.4542729Z fi
2025-11-03T18:32:30.4543014Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-11-03T18:32:30.4543322Z 
2025-11-03T18:32:30.4543472Z DEVICE_NAME=""
2025-11-03T18:32:30.4543665Z DEVICE_TYPE=""
2025-11-03T18:32:30.4543839Z 
2025-11-03T18:32:30.4544012Z if command -v nvidia-smi; then
2025-11-03T18:32:30.4544339Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-11-03T18:32:30.4544775Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-11-03T18:32:30.4545179Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-11-03T18:32:30.4545491Z   python3 -mpip install torch==2.7.1
2025-11-03T18:32:30.4545734Z elif command -v rocminfo; then
2025-11-03T18:32:30.4546051Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-11-03T18:32:30.4546449Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-11-03T18:32:30.4546845Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-11-03T18:32:30.4547191Z   # GPU device name coming from rocminfo instead
2025-11-03T18:32:30.4547442Z   DEVICE_NAME=rocm
2025-11-03T18:32:30.4547793Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-11-03T18:32:30.4548163Z fi
2025-11-03T18:32:30.4548316Z 
2025-11-03T18:32:30.4548508Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-11-03T18:32:30.4548803Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-11-03T18:32:30.4560405Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:32:30.4560689Z env:
2025-11-03T18:32:30.4560853Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:32:30.4561106Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:32:30.4561498Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:32:30.4561842Z ##[endgroup]
2025-11-03T18:32:30.4594960Z + [[ -n '' ]]
2025-11-03T18:32:30.4595240Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-11-03T18:32:30.9602914Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T18:32:31.9979687Z Collecting boto3==1.35.33
2025-11-03T18:32:32.0184328Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-11-03T18:32:32.3129880Z Collecting psutil==7.0.0
2025-11-03T18:32:32.3168472Z   Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB)
2025-11-03T18:32:32.3467011Z Collecting pynvml==12.0.0
2025-11-03T18:32:32.3499650Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-11-03T18:32:32.3569568Z 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)
2025-11-03T18:32:32.3980346Z Collecting s3transfer<0.11.0,>=0.10.0
2025-11-03T18:32:32.4010351Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-11-03T18:32:33.4548339Z Collecting botocore<1.36.0,>=1.35.33
2025-11-03T18:32:33.4585898Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-11-03T18:32:33.6349227Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-11-03T18:32:33.6418909Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-11-03T18:32:33.6509668Z 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)
2025-11-03T18:32:33.6515517Z 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)
2025-11-03T18:32:33.7631268Z 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)
2025-11-03T18:32:33.8774151Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-11-03T18:32:34.3850432Z   Attempting uninstall: nvidia-ml-py
2025-11-03T18:32:34.3853573Z     Found existing installation: nvidia-ml-py 11.525.84
2025-11-03T18:32:34.3868760Z     Uninstalling nvidia-ml-py-11.525.84:
2025-11-03T18:32:34.4058300Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-11-03T18:32:34.4561561Z   Attempting uninstall: psutil
2025-11-03T18:32:34.4562342Z     Found existing installation: psutil 5.9.8
2025-11-03T18:32:34.4637873Z     Uninstalling psutil-5.9.8:
2025-11-03T18:32:34.4644317Z       Successfully uninstalled psutil-5.9.8
2025-11-03T18:32:34.6103828Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4
2025-11-03T18:32:34.6963132Z + DEVICE_NAME=
2025-11-03T18:32:34.6963391Z + DEVICE_TYPE=
2025-11-03T18:32:34.6963736Z + command -v nvidia-smi
2025-11-03T18:32:34.6964033Z + python3 -mpip install torch==2.7.1
2025-11-03T18:32:34.6964365Z /usr/bin/nvidia-smi
2025-11-03T18:32:34.9059115Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T18:32:35.1464549Z Collecting torch==2.7.1
2025-11-03T18:32:35.1644205Z   Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB)
2025-11-03T18:32:48.0045223Z Collecting nvidia-cufile-cu12==1.11.1.6
2025-11-03T18:32:48.0082680Z   Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB)
2025-11-03T18:32:48.0514914Z Collecting nvidia-cuda-cupti-cu12==12.6.80
2025-11-03T18:32:48.0554414Z   Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB)
2025-11-03T18:32:48.1851440Z Collecting filelock
2025-11-03T18:32:48.1889342Z   Downloading filelock-3.19.1-py3-none-any.whl (15 kB)
2025-11-03T18:32:48.2257163Z Collecting nvidia-cudnn-cu12==9.5.1.17
2025-11-03T18:32:48.2294245Z   Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB)
2025-11-03T18:32:56.7979329Z Collecting nvidia-curand-cu12==10.3.7.77
2025-11-03T18:32:56.8018288Z   Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB)
2025-11-03T18:32:57.4659957Z Collecting nvidia-cublas-cu12==12.6.4.1
2025-11-03T18:32:57.4707182Z   Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB)
2025-11-03T18:33:03.2567953Z Collecting nvidia-cufft-cu12==11.3.0.4
2025-11-03T18:33:03.2601450Z   Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB)
2025-11-03T18:33:05.7370345Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3)
2025-11-03T18:33:05.7998912Z Collecting fsspec
2025-11-03T18:33:05.8032552Z   Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB)
2025-11-03T18:33:05.8617462Z Collecting networkx
2025-11-03T18:33:05.8650458Z   Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB)
2025-11-03T18:33:05.9093318Z Collecting nvidia-cusparselt-cu12==0.6.3
2025-11-03T18:33:05.9128694Z   Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB)
2025-11-03T18:33:07.4368677Z Collecting triton==3.3.1
2025-11-03T18:33:07.4448728Z   Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB)
2025-11-03T18:33:09.0660285Z Collecting nvidia-cusparse-cu12==12.5.4.2
2025-11-03T18:33:09.0733166Z   Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB)
2025-11-03T18:33:11.7031714Z Collecting nvidia-cuda-runtime-cu12==12.6.77
2025-11-03T18:33:11.7099165Z   Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB)
2025-11-03T18:33:11.7449099Z Collecting nvidia-nccl-cu12==2.26.2
2025-11-03T18:33:11.7551286Z   Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB)
2025-11-03T18:33:13.9992527Z Collecting sympy>=1.13.3
2025-11-03T18:33:14.0030832Z   Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB)
2025-11-03T18:33:14.0648396Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0)
2025-11-03T18:33:14.0929424Z Collecting nvidia-nvtx-cu12==12.6.77
2025-11-03T18:33:14.0963430Z   Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB)
2025-11-03T18:33:14.1285509Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77
2025-11-03T18:33:14.1362208Z   Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB)
2025-11-03T18:33:14.4586987Z Collecting nvidia-cusolver-cu12==11.7.1.2
2025-11-03T18:33:14.4624031Z   Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB)
2025-11-03T18:33:15.9792381Z Collecting nvidia-nvjitlink-cu12==12.6.85
2025-11-03T18:33:15.9877225Z   Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB)
2025-11-03T18:33:16.2042386Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0)
2025-11-03T18:33:16.2318862Z Collecting mpmath<1.4,>=1.1.0
2025-11-03T18:33:16.2354141Z   Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
2025-11-03T18:33:16.3164149Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1)
2025-11-03T18:33:16.6174874Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch
2025-11-03T18:33:24.3189518Z   WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-11-03T18:33:24.3190381Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-11-03T18:33:27.7560373Z   WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-11-03T18:33:27.7561162Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-11-03T18:33:53.7401055Z   WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-11-03T18:33:53.7401951Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-11-03T18:33:54.2103322Z Successfully installed filelock-3.19.1 fsspec-2025.10.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1
2025-11-03T18:33:54.7358627Z + echo DEVICE_NAME=
2025-11-03T18:33:54.7359706Z + echo DEVICE_TYPE=
2025-11-03T18:33:54.7384846Z ##[group]Run set -eux
2025-11-03T18:33:54.7385111Z set -eux
2025-11-03T18:33:54.7385266Z 
2025-11-03T18:33:54.7385448Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-11-03T18:33:54.7385836Z   echo "Missing github-token input"
2025-11-03T18:33:54.7386062Z   exit 1
2025-11-03T18:33:54.7386219Z fi
2025-11-03T18:33:54.7394122Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:33:54.7394416Z env:
2025-11-03T18:33:54.7394583Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:33:54.7394838Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:33:54.7395249Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:33:54.7395606Z   DEVICE_NAME: 
2025-11-03T18:33:54.7395779Z   DEVICE_TYPE: 
2025-11-03T18:33:54.7396158Z   GITHUB_TOKEN: ***
2025-11-03T18:33:54.7396341Z ##[endgroup]
2025-11-03T18:33:54.7425143Z + [[ -z *** ]]
2025-11-03T18:33:54.7536294Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-11-03T18:33:54.7536601Z with:
2025-11-03T18:33:54.7536881Z   github-token: ***
2025-11-03T18:33:54.7537066Z env:
2025-11-03T18:33:54.7537234Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:33:54.7537482Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:33:54.7537882Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:33:54.7538228Z   DEVICE_NAME: 
2025-11-03T18:33:54.7538400Z   DEVICE_TYPE: 
2025-11-03T18:33:54.7538555Z ##[endgroup]
2025-11-03T18:33:54.7638212Z ##[group]Run set -eux
2025-11-03T18:33:54.7638409Z set -eux
2025-11-03T18:33:54.7638579Z 
2025-11-03T18:33:54.7638948Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-11-03T18:33:54.7646361Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:33:54.7646663Z env:
2025-11-03T18:33:54.7646824Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:33:54.7647078Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:33:54.7647502Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:33:54.7647890Z   DEVICE_NAME: 
2025-11-03T18:33:54.7648060Z   DEVICE_TYPE: 
2025-11-03T18:33:54.7648345Z   GITHUB_TOKEN: ***
2025-11-03T18:33:54.7648528Z ##[endgroup]
2025-11-03T18:33:54.7679501Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19040285449 i-086a042e332940233
2025-11-03T18:33:56.3157837Z setting job-id=54378933335
2025-11-03T18:33:56.3158490Z setting job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T18:33:56.3370317Z ##[group]Run set -eux
2025-11-03T18:33:56.3370534Z set -eux
2025-11-03T18:33:56.3370705Z 
2025-11-03T18:33:56.3370867Z if [[ -n "" ]]; then
2025-11-03T18:33:56.3371068Z   source ""
2025-11-03T18:33:56.3371235Z fi
2025-11-03T18:33:56.3371387Z 
2025-11-03T18:33:56.3371664Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-11-03T18:33:56.3372046Z   --schema-version "${SCHEMA_VERSION}" \
2025-11-03T18:33:56.3372303Z   --repo "${REPO}" \
2025-11-03T18:33:56.3372522Z   --head-branch "${HEAD_BRANCH}" \
2025-11-03T18:33:56.3372762Z   --head-sha "${HEAD_SHA}" \
2025-11-03T18:33:56.3372997Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-11-03T18:33:56.3373444Z   --run-attempt "${RUN_ATTEMPT}" \
2025-11-03T18:33:56.3373690Z   --job-id "${JOB_ID}" \
2025-11-03T18:33:56.3373909Z   --job-name "${JOB_NAME}"
2025-11-03T18:33:56.3381609Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:33:56.3381887Z env:
2025-11-03T18:33:56.3382153Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:33:56.3382412Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:33:56.3382919Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:33:56.3383355Z   DEVICE_NAME: 
2025-11-03T18:33:56.3383522Z   DEVICE_TYPE: 
2025-11-03T18:33:56.3383681Z   SCHEMA_VERSION: v3
2025-11-03T18:33:56.3383858Z   REPO: pytorch/pytorch
2025-11-03T18:33:56.3384047Z   HEAD_BRANCH: refs/heads/main
2025-11-03T18:33:56.3384282Z   HEAD_SHA: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T18:33:56.3384528Z   WORKFLOW_RUN_ID: 19040285449
2025-11-03T18:33:56.3384726Z   RUN_ATTEMPT: 1
2025-11-03T18:33:56.3384890Z   JOB_ID: 54378933335
2025-11-03T18:33:56.3385295Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T18:33:56.3385711Z ##[endgroup]
2025-11-03T18:33:56.3414171Z + [[ -n '' ]]
2025-11-03T18:33:56.3415970Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 3f6538febd727b782e6e13cfd026a309fb14351d --workflow-id 19040285449 --run-attempt 1 --job-id 54378933335 --job-name 'linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)'
2025-11-03T18:33:56.3864419Z ##[group]Run set -eux
2025-11-03T18:33:56.3864672Z set -eux
2025-11-03T18:33:56.3864875Z 
2025-11-03T18:33:56.3865049Z if [[ -n "" ]]; then
2025-11-03T18:33:56.3865241Z   source ""
2025-11-03T18:33:56.3865408Z fi
2025-11-03T18:33:56.3865564Z 
2025-11-03T18:33:56.3865855Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-11-03T18:33:56.3873128Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:33:56.3873412Z env:
2025-11-03T18:33:56.3873589Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:33:56.3873855Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:33:56.3874255Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:33:56.3874600Z   DEVICE_NAME: 
2025-11-03T18:33:56.3874767Z   DEVICE_TYPE: 
2025-11-03T18:33:56.3874927Z ##[endgroup]
2025-11-03T18:33:56.3899161Z + [[ -n '' ]]
2025-11-03T18:33:56.3899917Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-11-03T18:33:57.2274884Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.)
2025-11-03T18:33:57.2276020Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-11-03T18:33:58.0866459Z ##[group]Run set -eux
2025-11-03T18:33:58.0866689Z set -eux
2025-11-03T18:33:58.0866865Z 
2025-11-03T18:33:58.0867048Z # TODO (huydhn): Implement this part
2025-11-03T18:33:58.0867338Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-11-03T18:33:58.0876246Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:33:58.0876544Z env:
2025-11-03T18:33:58.0876726Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:33:58.0876981Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:33:58.0877365Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:33:58.0877708Z   DEVICE_NAME: 
2025-11-03T18:33:58.0877873Z   DEVICE_TYPE: 
2025-11-03T18:33:58.0878223Z ##[endgroup]
2025-11-03T18:33:58.0904629Z + echo 'dependencies={}'
2025-11-03T18:33:58.1012471Z ##[group]Run set -eux
2025-11-03T18:33:58.1012677Z set -eux
2025-11-03T18:33:58.1012840Z 
2025-11-03T18:33:58.1013013Z if [[ -n "" ]]; then
2025-11-03T18:33:58.1013211Z   source ""
2025-11-03T18:33:58.1013514Z fi
2025-11-03T18:33:58.1013668Z 
2025-11-03T18:33:58.1013861Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-11-03T18:33:58.1014270Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-11-03T18:33:58.1014622Z   # We don't want the job to fail if the directory doesn't exist
2025-11-03T18:33:58.1014913Z   exit 0
2025-11-03T18:33:58.1015083Z fi
2025-11-03T18:33:58.1015230Z 
2025-11-03T18:33:58.1015417Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-11-03T18:33:58.1015791Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-11-03T18:33:58.1016195Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-11-03T18:33:58.1016515Z     --metadata "${BENCHMARK_METADATA}" \
2025-11-03T18:33:58.1016762Z     --runners "${RUNNER_INFO}" \
2025-11-03T18:33:58.1017013Z     --dependencies "${DEPENDENCIES}" \
2025-11-03T18:33:58.1017253Z     --dry-run
2025-11-03T18:33:58.1017433Z else
2025-11-03T18:33:58.1017704Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-11-03T18:33:58.1018103Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-11-03T18:33:58.1018420Z     --metadata "${BENCHMARK_METADATA}" \
2025-11-03T18:33:58.1018672Z     --runners "${RUNNER_INFO}" \
2025-11-03T18:33:58.1018916Z     --dependencies "${DEPENDENCIES}"
2025-11-03T18:33:58.1019143Z fi
2025-11-03T18:33:58.1026151Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:33:58.1026441Z env:
2025-11-03T18:33:58.1026607Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:33:58.1026857Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:33:58.1027254Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:33:58.1027604Z   DEVICE_NAME: 
2025-11-03T18:33:58.1027772Z   DEVICE_TYPE: 
2025-11-03T18:33:58.1027957Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-11-03T18:33:58.1028186Z   DRY_RUN: false
2025-11-03T18:33:58.1029208Z   BENCHMARK_METADATA: {"timestamp": 1762194836, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "3f6538febd727b782e6e13cfd026a309fb14351d", "workflow_id": 19040285449, "run_attempt": 1, "job_id": 54378933335}
2025-11-03T18:33:58.1030623Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 60, "extra_info": {"hostname": "ip-10-1-41-7.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]
2025-11-03T18:33:58.1031175Z   DEPENDENCIES: {}
2025-11-03T18:33:58.1031347Z ##[endgroup]
2025-11-03T18:33:58.1056644Z + [[ -n '' ]]
2025-11-03T18:33:58.1056851Z + [[ ! -d test/test-reports ]]
2025-11-03T18:33:58.1057065Z + [[ false == \t\r\u\e ]]
2025-11-03T18:33:58.1059563Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1762194836, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "3f6538febd727b782e6e13cfd026a309fb14351d", "workflow_id": 19040285449, "run_attempt": 1, "job_id": 54378933335}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 60, "extra_info": {"hostname": "ip-10-1-41-7.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}'
2025-11-03T18:33:58.2757956Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-03e5db088ab78bc8f327.json is not a benchmark record, skipping
2025-11-03T18:33:58.2759835Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2813251Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'export/test_retraceability'}, {'test_file': 'export/test_strict_export_v2'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'export/test_serdes'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'test_foreach'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'export/test_export'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'test_decomp'}, {'test_file': 'test_cuda'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_scaled_matmul_cuda'}, {'test_file': 'test_ops'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_overrides'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'doctests'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_openreg'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'test_package'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'functorch/test_rearrange'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'test_license'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'test_autoload'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'cpp_extensions/torch_stable_test_extension/torch_stable_test/test_torch_stable'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'test_file_check'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_cache'}, {'test_file': 'test_opaque_obj_v2'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'test_hop_infra'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_custom_ops'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'inductor/test_template_heuristics_registry'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'export/test_dynamic_shapes'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_move_constructors_to_cuda'}, {'test_file': 'test_transformers'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_flex_flash'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'test_functionalization'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'inductor/test_lookup_table'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'test_typing'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'export/test_tools'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'test_pytree'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'inductor/test_caching'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_device_assert'}, {'test_file': 'test_flop_counter'}, {'test_file': 'test_fx'}, {'test_file': 'inductor/test_control_deps'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'export/test_db'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'export/test_passes'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'functorch/dim/test_getsetitem'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'export/test_package'}, {'test_file': 'test_show_pickle'}, {'test_file': 'export/test_schema'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_openmp'}, {'test_file': 'test_logging'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'test_utils'}, {'test_file': 'test_native_functions'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'inductor/test_mem_estimation'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_optim'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'test_fx_passes'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'test_jit'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_module_tracker'}, {'test_file': 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'dynamo/test_export_mutations'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'inductor/test_mix_order_reduction'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_jiterator'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'export/test_serialize'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'inductor/test_augmented_graph_helper'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_weak'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'test_stateless'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'test_content_store'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'test_pruning_op'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'test_monitor'}, {'test_file': 'inductor/test_config'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'test_opaque_obj'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'export/test_hop'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'export/test_experimental'}, {'test_file': 'test_numa_binding'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'test_tensorboard'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'inductor/test_selective_lowering'}, {'test_file': 'test_modules'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'test_itt'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'inductor/test_custom_partitioner_fn'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'functorch/dim/test_split'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'export/test_converter'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'test_masked'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'test_autograd'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'test_public_bindings'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_subclass'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'export/test_nativert'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'test_type_info'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'test_numba_integration'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_dataloader'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_schema_check'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'test_futures'}, {'test_file': 'test_autocast'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'test_serialization'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'test_torch'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'export/test_sparse'}, {'test_file': 'test_testing'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'export/test_verifier'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'test_functional_optim'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'test_shape_ops'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'test_vulkan'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_accelerator'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'test_nn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_mkldnn'}, {'test_file': 'test_linalg'}, {'test_file': 'test_view_ops'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'nn/test_init'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_sparse'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'test_reductions'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_prims'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'inductor/test_custom_op_autotune'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}], 'excluded': []} from test/test-reports/td_exclusions-b26e0133096ad962dfae.json is not a benchmark record, skipping
2025-11-03T18:33:58.2864016Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2866647Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/Dict_test'}, {'test_file': 'cpp/Dimname_test'}, {'test_file': 'cpp/NamedTensor_test'}, {'test_file': 'cpp/apply_utils_test'}, {'test_file': 'cpp/atest'}, {'test_file': 'cpp/basic'}, {'test_file': 'cpp/broadcast_test'}, {'test_file': 'cpp/cpu_generator_test'}, {'test_file': 'cpp/dlconvertor_test'}, {'test_file': 'cpp/extension_backend_test'}, {'test_file': 'cpp/lazy_tensor_test'}, {'test_file': 'cpp/legacy_vmap_test'}, {'test_file': 'cpp/native_test'}, {'test_file': 'cpp/operators_test'}, {'test_file': 'cpp/scalar_tensor_test'}, {'test_file': 'cpp/scalar_test'}, {'test_file': 'cpp/tensor_iterator_test'}, {'test_file': 'cpp/undefined_tensor_test'}, {'test_file': 'cpp/wrapdim_test'}], 'excluded': []} from test/test-reports/td_exclusions-ccb6771fa0e257a31fbf.json is not a benchmark record, skipping
2025-11-03T18:33:58.2869427Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2870701Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_generator_test'}], 'excluded': []} from test/test-reports/td_exclusions-797824cf6ec7be11596f.json is not a benchmark record, skipping
2025-11-03T18:33:58.2871828Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2872994Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_half_test'}], 'excluded': []} from test/test-reports/td_exclusions-503da6a9d3a602cd8e66.json is not a benchmark record, skipping
2025-11-03T18:33:58.2874154Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2875275Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_vectorized_test'}], 'excluded': []} from test/test-reports/td_exclusions-5194d4723fbd3cab1a89.json is not a benchmark record, skipping
2025-11-03T18:33:58.2876378Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2877483Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_optional_test'}], 'excluded': []} from test/test-reports/td_exclusions-9cae23aec0912783a544.json is not a benchmark record, skipping
2025-11-03T18:33:58.2878584Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2879716Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_distributions_test'}], 'excluded': []} from test/test-reports/td_exclusions-eb2e55f616ea244ba2d2.json is not a benchmark record, skipping
2025-11-03T18:33:58.2880849Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2881967Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_complex_test'}], 'excluded': []} from test/test-reports/td_exclusions-881cc2571f34b20e8018.json is not a benchmark record, skipping
2025-11-03T18:33:58.2883069Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2884250Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_complex_math_test'}], 'excluded': []} from test/test-reports/td_exclusions-19a8afaede945836b5ea.json is not a benchmark record, skipping
2025-11-03T18:33:58.2885369Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2886458Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_cub_test'}], 'excluded': []} from test/test-reports/td_exclusions-ec1e77de5105c49f6c01.json is not a benchmark record, skipping
2025-11-03T18:33:58.2887538Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2888649Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_atomic_ops_test'}], 'excluded': []} from test/test-reports/td_exclusions-8549f54ea84d68fd4bc7.json is not a benchmark record, skipping
2025-11-03T18:33:58.2889848Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2890969Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_allocator_test'}], 'excluded': []} from test/test-reports/td_exclusions-89ef071c12eb6e8be75b.json is not a benchmark record, skipping
2025-11-03T18:33:58.2892125Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2893221Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-74ef61ff81daec98b831.json is not a benchmark record, skipping
2025-11-03T18:33:58.2894363Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-11-03T18:33:58.2955763Z ##[group]Run cat test/**/*_toprint.log || true
2025-11-03T18:33:58.2956101Z cat test/**/*_toprint.log || true
2025-11-03T18:33:58.2963453Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:33:58.2963841Z env:
2025-11-03T18:33:58.2964010Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:33:58.2964262Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:33:58.2964663Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:33:58.2964999Z   DEVICE_NAME: 
2025-11-03T18:33:58.2965171Z   DEVICE_TYPE: 
2025-11-03T18:33:58.2965336Z ##[endgroup]
2025-11-03T18:33:58.3056456Z cat: 'test/**/*_toprint.log': No such file or directory
2025-11-03T18:33:58.3115820Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-11-03T18:33:58.3116123Z kill "$MONITOR_SCRIPT_PID"
2025-11-03T18:33:58.3122966Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:33:58.3123241Z env:
2025-11-03T18:33:58.3123420Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:33:58.3123669Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:33:58.3124183Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:33:58.3124540Z   DEVICE_NAME: 
2025-11-03T18:33:58.3124705Z   DEVICE_TYPE: 
2025-11-03T18:33:58.3124879Z   MONITOR_SCRIPT_PID: 58719
2025-11-03T18:33:58.3125066Z ##[endgroup]
2025-11-03T18:33:58.3289713Z Prepare all required actions
2025-11-03T18:33:58.3290252Z Getting action download info
2025-11-03T18:33:58.5289414Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-11-03T18:33:59.1743608Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-11-03T18:34:01.2720884Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-11-03T18:34:01.2721162Z with:
2025-11-03T18:34:01.2721484Z   file-suffix: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335
2025-11-03T18:34:01.2721860Z   s3-bucket: gha-artifacts
2025-11-03T18:34:01.2722049Z env:
2025-11-03T18:34:01.2722208Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:01.2722457Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:01.2722863Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:01.2723203Z   DEVICE_NAME: 
2025-11-03T18:34:01.2723406Z   DEVICE_TYPE: 
2025-11-03T18:34:01.2723561Z ##[endgroup]
2025-11-03T18:34:01.2839666Z ##[group]Run # Remove any previous test jsons if they exist
2025-11-03T18:34:01.2840011Z # Remove any previous test jsons if they exist
2025-11-03T18:34:01.2840282Z rm -f test-jsons-*.zip
2025-11-03T18:34:01.2840590Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-11-03T18:34:01.2848397Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:34:01.2848691Z env:
2025-11-03T18:34:01.2848855Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:01.2849100Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:01.2849491Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:01.2849827Z   DEVICE_NAME: 
2025-11-03T18:34:01.2849989Z   DEVICE_TYPE: 
2025-11-03T18:34:01.2850297Z   FILE_SUFFIX: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335
2025-11-03T18:34:01.2850792Z ##[endgroup]
2025-11-03T18:34:01.3532138Z   adding: test/test-reports/td_exclusions-03e5db088ab78bc8f327.json (deflated 16%)
2025-11-03T18:34:01.3536203Z   adding: test/test-reports/td_exclusions-b26e0133096ad962dfae.json (deflated 82%)
2025-11-03T18:34:01.3537158Z   adding: test/test-reports/td_exclusions-ccb6771fa0e257a31fbf.json (deflated 73%)
2025-11-03T18:34:01.3538079Z   adding: test/test-reports/td_exclusions-797824cf6ec7be11596f.json (deflated 14%)
2025-11-03T18:34:01.3538980Z   adding: test/test-reports/td_exclusions-503da6a9d3a602cd8e66.json (deflated 15%)
2025-11-03T18:34:01.3539661Z   adding: test/test-reports/td_exclusions-5194d4723fbd3cab1a89.json (deflated 14%)
2025-11-03T18:34:01.3540215Z   adding: test/test-reports/td_exclusions-9cae23aec0912783a544.json (deflated 14%)
2025-11-03T18:34:01.3540764Z   adding: test/test-reports/td_exclusions-eb2e55f616ea244ba2d2.json (deflated 13%)
2025-11-03T18:34:01.3541331Z   adding: test/test-reports/td_exclusions-881cc2571f34b20e8018.json (deflated 14%)
2025-11-03T18:34:01.3541890Z   adding: test/test-reports/td_exclusions-19a8afaede945836b5ea.json (deflated 13%)
2025-11-03T18:34:01.3542450Z   adding: test/test-reports/td_exclusions-ec1e77de5105c49f6c01.json (deflated 15%)
2025-11-03T18:34:01.3543002Z   adding: test/test-reports/td_exclusions-8549f54ea84d68fd4bc7.json (deflated 14%)
2025-11-03T18:34:01.3543735Z   adding: test/test-reports/td_exclusions-89ef071c12eb6e8be75b.json (deflated 14%)
2025-11-03T18:34:01.3544271Z   adding: test/test-reports/td_exclusions-74ef61ff81daec98b831.json (deflated 18%)
2025-11-03T18:34:01.3632215Z ##[group]Run # Remove any previous test reports if they exist
2025-11-03T18:34:01.3632550Z # Remove any previous test reports if they exist
2025-11-03T18:34:01.3632829Z rm -f test-reports-*.zip
2025-11-03T18:34:01.3633169Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-11-03T18:34:01.3640293Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:34:01.3640585Z env:
2025-11-03T18:34:01.3640746Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:01.3640992Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:01.3641386Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:01.3641720Z   DEVICE_NAME: 
2025-11-03T18:34:01.3641891Z   DEVICE_TYPE: 
2025-11-03T18:34:01.3642206Z   FILE_SUFFIX: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335
2025-11-03T18:34:01.3642560Z ##[endgroup]
2025-11-03T18:34:01.3724350Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-677990d4de5237fc.xml (deflated 28%)
2025-11-03T18:34:01.3725325Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-a30d670cd51ee0c7.xml (deflated 61%)
2025-11-03T18:34:01.3726426Z   adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-2060c9d3713b9a5b.xml (deflated 79%)
2025-11-03T18:34:01.3739508Z   adding: test/test-reports/python-pytest/test_overrides/test_overrides-2b7c0b7ae2a48ad1.xml (deflated 95%)
2025-11-03T18:34:01.3743254Z   adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-a2be9daa9e563472.xml (deflated 90%)
2025-11-03T18:34:01.3744366Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-50be3fc544c69b99.xml (deflated 81%)
2025-11-03T18:34:01.3745157Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-204dd157dc9198c3.xml (deflated 82%)
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2025-11-03T18:34:01.4450281Z ##[group]Run # Remove any previous usage logs if they exist
2025-11-03T18:34:01.4450613Z # Remove any previous usage logs if they exist
2025-11-03T18:34:01.4450877Z rm -f logs-*.zip
2025-11-03T18:34:01.4451134Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-11-03T18:34:01.4451489Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-11-03T18:34:01.4458346Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:34:01.4458620Z env:
2025-11-03T18:34:01.4458783Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:01.4459035Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:01.4459451Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:01.4459899Z   DEVICE_NAME: 
2025-11-03T18:34:01.4460067Z   DEVICE_TYPE: 
2025-11-03T18:34:01.4460454Z   FILE_SUFFIX: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335
2025-11-03T18:34:01.4460806Z ##[endgroup]
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2025-11-03T18:34:01.5357391Z   adding: test/test-reports/cpp.extension_backend_test_1.1_a2c8db8c797c612f_.log (deflated 45%)
2025-11-03T18:34:01.5357930Z   adding: test/test-reports/test_functional_autograd_benchmark_1.1_1da12e1d56794ed2_.log (deflated 51%)
2025-11-03T18:34:01.5358438Z   adding: test/test-reports/test_sparse_1.1_ea6f733d90d0f698_.log (deflated 49%)
2025-11-03T18:34:01.5358885Z   adding: test/test-reports/test_type_promotion_1.1_97d4e80f49d6c59a_.log (deflated 50%)
2025-11-03T18:34:01.5359336Z   adding: test/test-reports/cpp.native_test_1.1_8392284c2b1fabe5_.log (deflated 42%)
2025-11-03T18:34:01.5359940Z   adding: test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_2d278854188d6694_.log (deflated 53%)
2025-11-03T18:34:01.5360455Z   adding: test/test-reports/test_dlpack_1.1_eed65619745eef4f_.log (deflated 48%)
2025-11-03T18:34:01.5360922Z   adding: test/test-reports/profiler.test_torch_tidy_1.1_7260e26d19bb8117_.log (deflated 51%)
2025-11-03T18:34:01.5361411Z   adding: test/test-reports/cpp.cuda_cub_test_1.1_e2bccd0d6de4e0ae_.log (deflated 42%)
2025-11-03T18:34:01.5361879Z   adding: test/test-reports/torch_np.test_reductions_1.1_0d2e902602118b64_.log (deflated 50%)
2025-11-03T18:34:01.5362364Z   adding: test/test-reports/lazy.test_reuse_ir_1.1_5e9e14a75e2c65d2_.log (deflated 50%)
2025-11-03T18:34:01.5362806Z   adding: test/test-reports/test_prims_1.1_2f3b33ea528091a5_.log (deflated 48%)
2025-11-03T18:34:01.5363259Z   adding: test/test-reports/cpp.cuda_atomic_ops_test_1.1_82bb6fc5b4f97717_.log (deflated 61%)
2025-11-03T18:34:01.5363883Z   adding: test/test-reports/profiler.test_python_tracer_1.1_57d1aaf55e69e96a_.log (deflated 51%)
2025-11-03T18:34:01.5364384Z   adding: test/test-reports/cpp.lazy_tensor_test_1.1_fa7f8a2a1edaa317_.log (deflated 51%)
2025-11-03T18:34:01.5364895Z   adding: test/test-reports/inductor.test_custom_op_autotune_1.1_f0f43f3d4b5aa34c_.log (deflated 51%)
2025-11-03T18:34:01.5365435Z   adding: test/test-reports/profiler.test_python_tracer_1.1_c269c3fd182bde33_.log (deflated 59%)
2025-11-03T18:34:01.5365952Z   adding: test/test-reports/inductor.test_lookup_table_1.1_1b86e56dadd9e288_.log (deflated 6%)
2025-11-03T18:34:01.5366465Z   adding: test/test-reports/inductor.test_autoheuristic_1.1_b083115edbcdc799_.log (deflated 50%)
2025-11-03T18:34:01.5366962Z   adding: test/test-reports/inductor.test_halide_1.1_a2d0e7ac80e181bd_.log (deflated 7%)
2025-11-03T18:34:01.5367426Z   adding: test/test-reports/lazy.test_reuse_ir_1.1_99d90be71d476876_.log (deflated 59%)
2025-11-03T18:34:01.5800066Z   adding: test/test-reports/inductor.test_control_flow_2.5_2cd48c7e38767a62_.log (deflated 96%)
2025-11-03T18:34:01.5806232Z   adding: test/test-reports/test_jiterator_1.1_167edc799919039d_.log (deflated 94%)
2025-11-03T18:34:01.5807404Z   adding: test/test-reports/cpp.cuda_atomic_ops_test_1.1_57f7ea3bbafa7997_.log (deflated 42%)
2025-11-03T18:34:01.5808598Z   adding: test/test-reports/inductor.test_snode_runtime_1.1_f74612c8fb315cb5_.log (deflated 79%)
2025-11-03T18:34:01.5809519Z   adding: test/test-reports/dynamo.test_modes_1.1_f947b1d0fd4a0de3_.log (deflated 81%)
2025-11-03T18:34:01.5810797Z   adding: test/test-reports/dynamo.test_sets_1.1_6d96ae067e207f53_.log (deflated 87%)
2025-11-03T18:34:01.5811825Z   adding: test/test-reports/cpp.cuda_allocator_test_1.1_68a9f587c4b80ca6_.log (deflated 50%)
2025-11-03T18:34:01.5812895Z   adding: test/test-reports/nn.test_multihead_attention_1.1_9794b3651c56c972_.log (deflated 83%)
2025-11-03T18:34:01.5813939Z   adding: test/test-reports/dynamo.test_sources_1.1_79452a38379d94a8_.log (deflated 57%)
2025-11-03T18:34:01.5814953Z   adding: test/test-reports/dynamo.test_flat_apply_1.1_2e9d2f7cef2cc102_.log (deflated 62%)
2025-11-03T18:34:01.5815767Z   adding: test/test-reports/test_numpy_interop_1.1_61e6a7e34e904487_.log (deflated 86%)
2025-11-03T18:34:01.5850093Z   adding: test/test-reports/test_ops_fwd_gradients_2.2_fe7a7ebae71c9b70_.log (deflated 94%)
2025-11-03T18:34:01.5862306Z   adding: test/test-reports/test_ops_jit_1.2_553f4d7758a5f81c_.log (deflated 91%)
2025-11-03T18:34:01.5863302Z   adding: test/test-reports/cpp.cuda_allocator_test_1.1_84f44c577d4ea24a_.log (deflated 42%)
2025-11-03T18:34:01.5864216Z   adding: test/test-reports/inductor.test_layout_optim_1.1_b607cc653210c762_.log (deflated 50%)
2025-11-03T18:34:01.5892321Z   adding: test/test-reports/cpp.test_api_1.1_bf1bfb67a4b27387_.log (deflated 93%)
2025-11-03T18:34:01.5907160Z   adding: test/test-reports/test_nestedtensor_2.3_a3cc42914d4c916e_.log (deflated 92%)
2025-11-03T18:34:01.5908157Z   adding: test/test-reports/optim.test_optim_1.1_4ad8cfe32a63d75f_.log (deflated 7%)
2025-11-03T18:34:01.5909132Z   adding: test/test-reports/cpp.operators_test_1.1_204ce1d8734d8e8f_.log (deflated 42%)
2025-11-03T18:34:01.5910409Z   adding: test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_91dbf74d8c9c63fc_.log (deflated 86%)
2025-11-03T18:34:01.5911621Z   adding: test/test-reports/cpp.tensor_iterator_test_1.1_088857cff9dd737a_.log (deflated 88%)
2025-11-03T18:34:01.5912780Z   adding: test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_540dc0ee81b082ae_.log (deflated 72%)
2025-11-03T18:34:01.5913737Z   adding: test/test-reports/nn.test_init_1.1_8218a5874c36b538_.log (deflated 78%)
2025-11-03T18:34:01.5914649Z   adding: test/test-reports/test_function_schema_1.1_4c807c778630ec1d_.log (deflated 77%)
2025-11-03T18:34:01.5915647Z   adding: test/test-reports/test_cuda_multigpu_1.1_e30d6051f836c809_.log (deflated 85%)
2025-11-03T18:34:01.5916601Z   adding: test/test-reports/test_jit_autocast_1.1_b75bab089961369f_.log (deflated 81%)
2025-11-03T18:34:01.5917289Z   adding: test/test-reports/cpp.scalar_tensor_test_1.1_564ccfaaf0fa94bd_.log (deflated 42%)
2025-11-03T18:34:01.5918204Z   adding: test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_6d97f9bb2c87f1f3_.log (deflated 89%)
2025-11-03T18:34:01.5919077Z   adding: test/test-reports/cpp.test_api_1.1_2685c40fde406fdf_.log (deflated 44%)
2025-11-03T18:34:01.5919892Z   adding: test/test-reports/dynamo.test_python_autograd_1.1_ecb6e3ac8df45fdc_.log (deflated 65%)
2025-11-03T18:34:01.5920656Z   adding: test/test-reports/cpp.legacy_vmap_test_1.1_561fc1e4f49da9f3_.log (deflated 81%)
2025-11-03T18:34:01.5921529Z   adding: test/test-reports/test_functional_autograd_benchmark_1.1_6929956fabd862dc_.log (deflated 87%)
2025-11-03T18:34:01.5934320Z   adding: test/test-reports/test_ops_jit_2.2_c66853d3c172584e_.log (deflated 91%)
2025-11-03T18:34:01.5943416Z   adding: test/test-reports/test_type_promotion_1.1_f0f438de4b355b36_.log (deflated 94%)
2025-11-03T18:34:01.5944419Z   adding: test/test-reports/cpp.scalar_test_1.1_44597290ef12da49_.log (deflated 42%)
2025-11-03T18:34:01.5945465Z   adding: test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_de448f4498b54b98_.log (deflated 90%)
2025-11-03T18:34:01.5948152Z   adding: test/test-reports/test_dlpack_1.1_258fe8d4571cc7c8_.log (deflated 92%)
2025-11-03T18:34:01.5949519Z   adding: test/test-reports/profiler.test_torch_tidy_1.1_cc0a198a7c4bd77d_.log (deflated 76%)
2025-11-03T18:34:01.5965864Z   adding: test/test-reports/torch_np.test_reductions_1.1_6c4f31734d368334_.log (deflated 96%)
2025-11-03T18:34:01.5966854Z   adding: test/test-reports/test_prims_1.1_fd736863beadcba8_.log (deflated 77%)
2025-11-03T18:34:01.5968068Z   adding: test/test-reports/inductor.test_custom_op_autotune_1.1_605285006026cf6d_.log (deflated 61%)
2025-11-03T18:34:01.5969128Z   adding: test/test-reports/cpp.Dimname_test_1.1_d39cdc2c4ec4eac9_.log (deflated 42%)
2025-11-03T18:34:01.5970114Z   adding: test/test-reports/cpp.NamedTensor_test_1.1_f9975132a968144a_.log (deflated 42%)
2025-11-03T18:34:01.5971110Z   adding: test/test-reports/cpp.apply_utils_test_1.1_07f13c9bb578c621_.log (deflated 42%)
2025-11-03T18:34:01.5972051Z   adding: test/test-reports/cpp.atest_1.1_3cae9c35323a42a0_.log (deflated 42%)
2025-11-03T18:34:01.5972852Z   adding: test/test-reports/cpp.basic_1.1_5702e627ee1aecba_.log (deflated 42%)
2025-11-03T18:34:01.5973412Z   adding: test/test-reports/cpp.broadcast_test_1.1_203e810f74b0274e_.log (deflated 42%)
2025-11-03T18:34:01.5974021Z   adding: test/test-reports/cpp.cpu_generator_test_1.1_e4926bea27144e77_.log (deflated 42%)
2025-11-03T18:34:01.5974623Z   adding: test/test-reports/cpp.dlconvertor_test_1.1_d3833bbbee7bea8f_.log (deflated 42%)
2025-11-03T18:34:01.5975244Z   adding: test/test-reports/cpp.extension_backend_test_1.1_8c2f542354e7770a_.log (deflated 42%)
2025-11-03T18:34:01.5997446Z   adding: test/test-reports/cpp.cuda_distributions_test_1.1_d744d5b34e1e3651_.log (deflated 42%)
2025-11-03T18:34:01.5998097Z   adding: test/test-reports/cpp.cuda_distributions_test_1.1_89ef8c96fa9a6f88_.log (deflated 63%)
2025-11-03T18:34:01.6142749Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-11-03T18:34:01.6143291Z # Remove any previous debugging artifacts if they exist
2025-11-03T18:34:01.6143608Z rm -f debug-*.zip
2025-11-03T18:34:01.6143829Z if [ -d 'test/debug' ]; then
2025-11-03T18:34:01.6144092Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-11-03T18:34:01.6144338Z fi
2025-11-03T18:34:01.6151236Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:34:01.6151513Z env:
2025-11-03T18:34:01.6151680Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:01.6151939Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:01.6152336Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:01.6152682Z   DEVICE_NAME: 
2025-11-03T18:34:01.6152842Z   DEVICE_TYPE: 
2025-11-03T18:34:01.6153153Z   FILE_SUFFIX: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335
2025-11-03T18:34:01.6153517Z ##[endgroup]
2025-11-03T18:34:01.6718248Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T18:34:01.6718501Z with:
2025-11-03T18:34:01.6718664Z   s3-bucket: gha-artifacts
2025-11-03T18:34:01.6718905Z   s3-prefix: pytorch/pytorch/19040285449/1/artifact

2025-11-03T18:34:01.6719165Z   retention-days: 14
2025-11-03T18:34:01.6719343Z   if-no-files-found: warn
2025-11-03T18:34:01.6719543Z   path: test-jsons-*.zip
2025-11-03T18:34:01.6719726Z   name: artifact
2025-11-03T18:34:01.6719906Z   region: us-east-1
2025-11-03T18:34:01.6720063Z env:
2025-11-03T18:34:01.6720215Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:01.6720462Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:01.6720854Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:01.6721189Z   DEVICE_NAME: 
2025-11-03T18:34:01.6721348Z   DEVICE_TYPE: 
2025-11-03T18:34:01.6721505Z ##[endgroup]
2025-11-03T18:34:02.1825111Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T18:34:02.1825621Z With the provided path, there will be 1 file uploaded
2025-11-03T18:34:02.1826309Z Uploading to s3 prefix: pytorch/pytorch/19040285449/1/artifact
2025-11-03T18:34:02.1879673Z Starting upload of test-jsons-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335.zip
2025-11-03T18:34:02.3117411Z Finished upload of test-jsons-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335.zip
2025-11-03T18:34:02.3473134Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T18:34:02.3473378Z with:
2025-11-03T18:34:02.3473538Z   s3-bucket: gha-artifacts
2025-11-03T18:34:02.3473778Z   s3-prefix: pytorch/pytorch/19040285449/1/artifact

2025-11-03T18:34:02.3474030Z   retention-days: 14
2025-11-03T18:34:02.3474220Z   if-no-files-found: error
2025-11-03T18:34:02.3474426Z   path: test-reports-*.zip
2025-11-03T18:34:02.3474615Z   name: artifact
2025-11-03T18:34:02.3474783Z   region: us-east-1
2025-11-03T18:34:02.3474937Z env:
2025-11-03T18:34:02.3475092Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:02.3475350Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:02.3475741Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:02.3476098Z   DEVICE_NAME: 
2025-11-03T18:34:02.3476255Z   DEVICE_TYPE: 
2025-11-03T18:34:02.3476416Z ##[endgroup]
2025-11-03T18:34:02.6410917Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T18:34:02.6411627Z With the provided path, there will be 1 file uploaded
2025-11-03T18:34:02.6412271Z Uploading to s3 prefix: pytorch/pytorch/19040285449/1/artifact
2025-11-03T18:34:02.6464380Z Starting upload of test-reports-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335.zip
2025-11-03T18:34:02.7884161Z Finished upload of test-reports-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335.zip
2025-11-03T18:34:02.8242621Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T18:34:02.8243034Z with:
2025-11-03T18:34:02.8243310Z   s3-bucket: gha-artifacts
2025-11-03T18:34:02.8243894Z   s3-prefix: pytorch/pytorch/19040285449/1/artifact

2025-11-03T18:34:02.8244177Z   retention-days: 14
2025-11-03T18:34:02.8244368Z   if-no-files-found: ignore
2025-11-03T18:34:02.8244572Z   path: logs-*.zip
2025-11-03T18:34:02.8244746Z   name: artifact
2025-11-03T18:34:02.8244907Z   region: us-east-1
2025-11-03T18:34:02.8245072Z env:
2025-11-03T18:34:02.8245227Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:02.8245478Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:02.8245881Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:02.8246236Z   DEVICE_NAME: 
2025-11-03T18:34:02.8246400Z   DEVICE_TYPE: 
2025-11-03T18:34:02.8246557Z ##[endgroup]
2025-11-03T18:34:03.1176499Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T18:34:03.1176978Z With the provided path, there will be 1 file uploaded
2025-11-03T18:34:03.1177388Z Uploading to s3 prefix: pytorch/pytorch/19040285449/1/artifact
2025-11-03T18:34:03.1229948Z Starting upload of logs-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335.zip
2025-11-03T18:34:03.3151854Z Finished upload of logs-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335.zip
2025-11-03T18:34:03.3506234Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T18:34:03.3506482Z with:
2025-11-03T18:34:03.3506641Z   s3-bucket: gha-artifacts
2025-11-03T18:34:03.3506886Z   s3-prefix: pytorch/pytorch/19040285449/1/artifact

2025-11-03T18:34:03.3507154Z   retention-days: 14
2025-11-03T18:34:03.3507337Z   if-no-files-found: ignore
2025-11-03T18:34:03.3507527Z   path: debug-*.zip
2025-11-03T18:34:03.3507705Z   name: artifact
2025-11-03T18:34:03.3507875Z   region: us-east-1
2025-11-03T18:34:03.3508032Z env:
2025-11-03T18:34:03.3508193Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:03.3508438Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:03.3508830Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:03.3509323Z   DEVICE_NAME: 
2025-11-03T18:34:03.3509485Z   DEVICE_TYPE: 
2025-11-03T18:34:03.3509649Z ##[endgroup]
2025-11-03T18:34:03.6411987Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-11-03T18:34:03.6761715Z ##[group]Run # shellcheck disable=SC2156
2025-11-03T18:34:03.6762037Z # shellcheck disable=SC2156
2025-11-03T18:34:03.6762475Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-11-03T18:34:03.6771077Z shell: /usr/bin/bash -e {0}
2025-11-03T18:34:03.6771304Z env:
2025-11-03T18:34:03.6771468Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:03.6771726Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:03.6772141Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:03.6772507Z   DEVICE_NAME: 
2025-11-03T18:34:03.6772687Z   DEVICE_TYPE: 
2025-11-03T18:34:03.6772851Z ##[endgroup]
2025-11-03T18:34:04.0480821Z Prepare all required actions
2025-11-03T18:34:04.0481191Z Getting action download info
2025-11-03T18:34:04.1804733Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-11-03T18:34:04.1805009Z with:
2025-11-03T18:34:04.1805171Z   job_id: 54378933335
2025-11-03T18:34:04.1805567Z   job_name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T18:34:04.1805994Z   workflow_name: trunk
2025-11-03T18:34:04.1806182Z   workflow_run_id: 19040285449
2025-11-03T18:34:04.1806374Z   workflow_attempt: 1
2025-11-03T18:34:04.1806543Z env:
2025-11-03T18:34:04.1806708Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:04.1806957Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:04.1807344Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:04.1807693Z   DEVICE_NAME: 
2025-11-03T18:34:04.1807876Z   DEVICE_TYPE: 
2025-11-03T18:34:04.1808039Z ##[endgroup]
2025-11-03T18:34:04.1922387Z ##[group]Run echo "workflow_id: 19040285449"
2025-11-03T18:34:04.1922671Z echo "workflow_id: 19040285449"
2025-11-03T18:34:04.1922898Z echo "workflow_attempt: 1"
2025-11-03T18:34:04.1923124Z echo "workflow_Name: trunk"
2025-11-03T18:34:04.1923352Z echo "job_id: 54378933335"
2025-11-03T18:34:04.1923915Z echo "job_name:  linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)"
2025-11-03T18:34:04.1924391Z echo "artifact_prefix: "
2025-11-03T18:34:04.1924606Z python3 --version
2025-11-03T18:34:04.1932157Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:34:04.1932436Z env:
2025-11-03T18:34:04.1932594Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:04.1932840Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:04.1933231Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:04.1933580Z   DEVICE_NAME: 
2025-11-03T18:34:04.1933753Z   DEVICE_TYPE: 
2025-11-03T18:34:04.1933907Z ##[endgroup]
2025-11-03T18:34:04.1963497Z workflow_id: 19040285449
2025-11-03T18:34:04.1963911Z workflow_attempt: 1
2025-11-03T18:34:04.1964110Z workflow_Name: trunk
2025-11-03T18:34:04.1964289Z job_id: 54378933335
2025-11-03T18:34:04.1964701Z job_name:  linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-11-03T18:34:04.1965162Z artifact_prefix: 
2025-11-03T18:34:04.1978237Z Python 3.9.23
2025-11-03T18:34:04.2070127Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T18:34:04.2070513Z with:
2025-11-03T18:34:04.2070768Z   shell: bash
2025-11-03T18:34:04.2071048Z   timeout_minutes: 5
2025-11-03T18:34:04.2071342Z   max_attempts: 5
2025-11-03T18:34:04.2071636Z   retry_wait_seconds: 30
2025-11-03T18:34:04.2072336Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-11-03T18:34:04.2073123Z   polling_interval_seconds: 1
2025-11-03T18:34:04.2073628Z   warning_on_retry: true
2025-11-03T18:34:04.2073846Z   continue_on_error: false
2025-11-03T18:34:04.2074040Z env:
2025-11-03T18:34:04.2074302Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:04.2074556Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:04.2074961Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:04.2075321Z   DEVICE_NAME: 
2025-11-03T18:34:04.2075495Z   DEVICE_TYPE: 
2025-11-03T18:34:04.2075647Z ##[endgroup]
2025-11-03T18:34:04.5292279Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T18:34:04.6173841Z Collecting python-dateutil==2.8.2
2025-11-03T18:34:04.6349075Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-11-03T18:34:05.6059851Z Collecting boto3==1.35.42
2025-11-03T18:34:05.6101494Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-11-03T18:34:06.1254693Z Collecting pandas==2.1.3
2025-11-03T18:34:06.1301160Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-11-03T18:34:06.4307618Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-11-03T18:34:06.4323326Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-11-03T18:34:06.4364891Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99)
2025-11-03T18:34:06.4369745Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0)
2025-11-03T18:34:06.4373324Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4)
2025-11-03T18:34:06.4932061Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-11-03T18:34:07.3316534Z Collecting numpy<2,>=1.22.4
2025-11-03T18:34:07.3361933Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-11-03T18:34:07.8242230Z Collecting tzdata>=2022.1
2025-11-03T18:34:07.8280747Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-11-03T18:34:07.8607266Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-11-03T18:34:07.8610762Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-11-03T18:34:07.8658631Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10)
2025-11-03T18:34:07.8764576Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0)
2025-11-03T18:34:07.8852594Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-11-03T18:34:07.8856019Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0)
2025-11-03T18:34:08.1577971Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-11-03T18:34:12.7279263Z   Attempting uninstall: boto3
2025-11-03T18:34:12.7280553Z     Found existing installation: boto3 1.35.33
2025-11-03T18:34:12.7389796Z     Uninstalling boto3-1.35.33:
2025-11-03T18:34:12.7403328Z       Successfully uninstalled boto3-1.35.33
2025-11-03T18:34:12.8445136Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-11-03T18:34:13.2851666Z Command completed after 1 attempt(s).
2025-11-03T18:34:13.3006862Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-11-03T18:34:13.3009207Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-11-03T18:34:13.3009726Z   --workflow-run-id "19040285449" \
2025-11-03T18:34:13.3009991Z   --workflow-name "trunk" \
2025-11-03T18:34:13.3010243Z   --workflow-run-attempt "1" \
2025-11-03T18:34:13.3010470Z   --job-id "54378933335" \
2025-11-03T18:34:13.3011067Z   --job-name "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)" \
2025-11-03T18:34:13.3011536Z   --local-path "" \
2025-11-03T18:34:13.3011751Z   --artifact-prefix ""
2025-11-03T18:34:13.3020601Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:34:13.3020896Z env:
2025-11-03T18:34:13.3021058Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:13.3021496Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:13.3021900Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:13.3022257Z   DEVICE_NAME: 
2025-11-03T18:34:13.3022429Z   DEVICE_TYPE: 
2025-11-03T18:34:13.3022602Z ##[endgroup]
2025-11-03T18:34:16.7217709Z repo: pytorch/pytorch
2025-11-03T18:34:16.7218111Z Search for test log in s3 bucket: ossci-utilization
2025-11-03T18:34:16.7218692Z Downloading logs-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335.zip
2025-11-03T18:34:16.7219502Z extracting usage_log.txt from zip file logs-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_54378933335.zip
2025-11-03T18:34:16.7220097Z Converted Log Model: UtilizationMetadata:
2025-11-03T18:34:16.7221451Z  UtilizationMetadata(level='metadata', workflow_id='19040285449', job_id='54378933335', workflow_name='trunk', job_name='linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1762187379, gpu_count=1, cpu_count=16, gpu_type='pynvml', error=None)
2025-11-03T18:34:16.7222697Z [Db Segments] detected pytest cmd: 35, generated segments: 35
2025-11-03T18:34:16.7223123Z [db model] Peek db timeseries 
2025-11-03T18:34:16.7223324Z :{
2025-11-03T18:34:16.7223477Z     "created_at": 1762194856,
2025-11-03T18:34:16.7223760Z     "type": "utilization",
2025-11-03T18:34:16.7223951Z     "tags": [
2025-11-03T18:34:16.7224103Z         "record"
2025-11-03T18:34:16.7224253Z     ],
2025-11-03T18:34:16.7224397Z     "time_stamp": 1762187379,
2025-11-03T18:34:16.7224597Z     "repo": "pytorch/pytorch",
2025-11-03T18:34:16.7224802Z     "workflow_id": 19040285449,
2025-11-03T18:34:16.7224998Z     "run_attempt": 1,
2025-11-03T18:34:16.7225168Z     "job_id": 54378933335,
2025-11-03T18:34:16.7225355Z     "workflow_name": "trunk",
2025-11-03T18:34:16.7225773Z     "job_name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)",
2025-11-03T18:34:16.7226200Z     "json_data": "{}"
2025-11-03T18:34:16.7226360Z }
2025-11-03T18:34:16.7226714Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/19040285449/1/54378933335/metadata
2025-11-03T18:34:16.7227360Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/19040285449/1/54378933335/metadata 
2025-11-03T18:34:16.7228046Z Writing 1490 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/19040285449/1/54378933335/time_series
2025-11-03T18:34:16.7228729Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/19040285449/1/54378933335/time_series 
2025-11-03T18:34:16.8210901Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-11-03T18:34:16.8211260Z with:
2025-11-03T18:34:16.8211415Z env:
2025-11-03T18:34:16.8211575Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:16.8211837Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:16.8212240Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:16.8212705Z   DEVICE_NAME: 
2025-11-03T18:34:16.8212875Z   DEVICE_TYPE: 
2025-11-03T18:34:16.8213124Z ##[endgroup]
2025-11-03T18:34:16.8307717Z ##[group]Run set -eou pipefail
2025-11-03T18:34:16.8307969Z set -eou pipefail
2025-11-03T18:34:16.8308163Z 
2025-11-03T18:34:16.8308431Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-11-03T18:34:16.8308770Z for _ in $(seq 1440); do
2025-11-03T18:34:16.8309011Z     # Break if no ssh session exists anymore
2025-11-03T18:34:16.8309291Z     if [ "$(who)" = "" ]; then
2025-11-03T18:34:16.8309515Z       break
2025-11-03T18:34:16.8309685Z     fi
2025-11-03T18:34:16.8309850Z     echo "."
2025-11-03T18:34:16.8310019Z     sleep 5
2025-11-03T18:34:16.8310190Z done
2025-11-03T18:34:16.8317858Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:34:16.8318142Z env:
2025-11-03T18:34:16.8318296Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:16.8318541Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:16.8318945Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:16.8319297Z   DEVICE_NAME: 
2025-11-03T18:34:16.8319456Z   DEVICE_TYPE: 
2025-11-03T18:34:16.8319616Z ##[endgroup]
2025-11-03T18:34:16.8346615Z Holding runner for 2 hours until all ssh sessions have logged out
2025-11-03T18:34:16.8998096Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T18:34:16.8998516Z # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T18:34:16.8998832Z # shellcheck disable=SC2046
2025-11-03T18:34:16.8999079Z docker stop $(docker ps -q) || true
2025-11-03T18:34:16.8999327Z # Prune all of the docker images
2025-11-03T18:34:16.8999565Z docker system prune -af
2025-11-03T18:34:16.9006581Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:34:16.9006869Z env:
2025-11-03T18:34:16.9007029Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:34:16.9007294Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:34:16.9007687Z   DOCKER_CONTAINER_ID: 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:16.9008041Z   DEVICE_NAME: 
2025-11-03T18:34:16.9008213Z   DEVICE_TYPE: 
2025-11-03T18:34:16.9008377Z ##[endgroup]
2025-11-03T18:34:27.9946473Z 6d329658b65b
2025-11-03T18:34:28.7765060Z Deleted Containers:
2025-11-03T18:34:28.7765725Z 6d329658b65b67f2877891e63993906bb46bca3468f534a4585892a9fb19a423
2025-11-03T18:34:28.7766116Z 
2025-11-03T18:34:40.4154713Z Deleted Images:
2025-11-03T18:34:40.4155399Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T18:34:40.4156607Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:2ac3cfb49204c3e72869d70b0efe076a40b776268354ae2b0bfc17abcbf3670f
2025-11-03T18:34:40.4157564Z deleted: sha256:13d6ecef26af9fe65fdbefec25e289c193635c6b17d6cff73bac415503578dce
2025-11-03T18:34:40.4158054Z deleted: sha256:f6f06e71173aadcd3c5b1b43abe0675c8d056a5df8417a33906cbb3ad30b4bb0
2025-11-03T18:34:40.4158498Z deleted: sha256:7fd9e2f39369d9cee029e3b58a98df66a8319828320ba5cb72726021c36cc7d7
2025-11-03T18:34:40.4158935Z deleted: sha256:8f5039f66ab53174b9b1e39578c7e297ea81514bc3714e3ba2c3194c876a2ed8
2025-11-03T18:34:40.4159383Z deleted: sha256:436067c04159dae2df8ce2d2b2916000a347188cdb2575451ef8c1b43b0d2370
2025-11-03T18:34:40.4160169Z deleted: sha256:c707bc2c56a7b3949ca6737ab69b1767c52a7e93bf979517099d33a415ee92fe
2025-11-03T18:34:40.4160667Z deleted: sha256:d37210ff80e4c9a220d5d0a0c6b4cd1795a864baf836eea69390c26d0cb159e7
2025-11-03T18:34:40.4161131Z deleted: sha256:3a804e4d33d963ca45cf42f343f7ed3bc8dc8fd202a3729c127728446edbd6ad
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2025-11-03T18:34:40.4162651Z deleted: sha256:11fea82d5915bac6fdf15bb90b501088bae7292be7aae44e2f4de3454ca6e84a
2025-11-03T18:34:40.4163097Z deleted: sha256:627d77256a503c0ba206b4000c33dc025a0b7905b5af69f655bc0fc199568e16
2025-11-03T18:34:40.4163527Z deleted: sha256:911717ff03c4e4b610d93143830387870c9a1d8fb73d98d54a45a2332de8ded0
2025-11-03T18:34:40.4164106Z deleted: sha256:f4a4df12f39003e49d07561f57f22f9b826c8cd335a0a07c6a3e38341c6d4e4d
2025-11-03T18:34:40.4164564Z deleted: sha256:30f39fd563d2de829bbec7fffde9a92e2b8b4bd0368c960a7d13c355a60956ff
2025-11-03T18:34:40.4165013Z deleted: sha256:3e285c08f6d5f3f168aff7cc8af4433689faaf830a14040b89657e231f606770
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2025-11-03T18:34:40.4209923Z Total reclaimed space: 35.81GB
2025-11-03T18:34:40.4308910Z Post job cleanup.
2025-11-03T18:34:40.4351050Z Post job cleanup.
2025-11-03T18:34:40.5335020Z [command]/usr/bin/git version
2025-11-03T18:34:40.5402832Z git version 2.50.1
2025-11-03T18:34:40.5435807Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/f2883297-89f4-44ce-b72c-b98ff4872b4a/.gitconfig'
2025-11-03T18:34:40.5445450Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/f2883297-89f4-44ce-b72c-b98ff4872b4a' before making global git config changes
2025-11-03T18:34:40.5446298Z Adding repository directory to the temporary git global config as a safe directory
2025-11-03T18:34:40.5450125Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T18:34:40.5491073Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
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2025-11-03T18:34:40.8907675Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
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2025-11-03T18:34:40.9981168Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T18:34:41.0041670Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
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2025-11-03T18:34:41.1333850Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-11-03T18:34:41.1356887Z http.https://github.com/.extraheader
2025-11-03T18:34:41.1366466Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-11-03T18:34:41.1396892Z [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' || :"
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2025-11-03T18:34:41.8720509Z A job completed hook has been configured by the self-hosted runner administrator
2025-11-03T18:34:41.8746548Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-11-03T18:34:41.8753253Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:34:41.8753542Z ##[endgroup]
2025-11-03T18:34:48.9746148Z Cleaning up orphan processes