2025-12-04T08:25:51.2648129Z Current runner version: '2.330.0'
2025-12-04T08:25:51.2655101Z Runner name: 'i-0acbbf936d8273abe'
2025-12-04T08:25:51.2656055Z Runner group name: 'default'
2025-12-04T08:25:51.2656993Z Machine name: 'ip-10-0-32-189'
2025-12-04T08:25:51.2659999Z ##[group]GITHUB_TOKEN Permissions
2025-12-04T08:25:51.2662422Z Contents: read
2025-12-04T08:25:51.2663091Z Metadata: read
2025-12-04T08:25:51.2663725Z ##[endgroup]
2025-12-04T08:25:51.2666266Z Secret source: Actions
2025-12-04T08:25:51.2667099Z Prepare workflow directory
2025-12-04T08:25:51.3184594Z Prepare all required actions
2025-12-04T08:25:51.3227060Z Getting action download info
2025-12-04T08:25:51.6366291Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd)
2025-12-04T08:25:53.8924888Z Download action repository 'pytorch/pytorch@main' (SHA:ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T08:26:08.3332579Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-12-04T08:26:08.6787025Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-12-04T08:26:08.9079260Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-12-04T08:26:09.0948612Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T08:26:09.3326568Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T08:26:09.6270484Z Getting action download info
2025-12-04T08:26:09.7688181Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5)
2025-12-04T08:26:10.0450173Z Getting action download info
2025-12-04T08:26:10.1905702Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-12-04T08:26:10.4218382Z Getting action download info
2025-12-04T08:26:10.5294531Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-12-04T08:26:10.7516768Z Getting action download info
2025-12-04T08:26:10.9112682Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T08:26:10.9116900Z ##[group] Inputs
2025-12-04T08:26:10.9117290Z   build-environment: linux-jammy-py3.10-clang18-asan
2025-12-04T08:26:10.9119478Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.4xlarge"}]}
2025-12-04T08:26:10.9122111Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:26:10.9122946Z   sync-tag: asan-test
2025-12-04T08:26:10.9123764Z   timeout-minutes: 240
2025-12-04T08:26:10.9124031Z   use-gha: 
2025-12-04T08:26:10.9124257Z   dashboard-tag: 
2025-12-04T08:26:10.9124491Z   s3-bucket: gha-artifacts
2025-12-04T08:26:10.9124767Z   aws-role-to-assume: 
2025-12-04T08:26:10.9125333Z   disable-monitor: false
2025-12-04T08:26:10.9125653Z   monitor-log-interval: 5
2025-12-04T08:26:10.9125948Z   monitor-data-collect-interval: 1
2025-12-04T08:26:10.9126514Z ##[endgroup]
2025-12-04T08:26:10.9127057Z Complete job name: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T08:26:10.9667367Z A job started hook has been configured by the self-hosted runner administrator
2025-12-04T08:26:10.9771492Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-12-04T08:26:10.9780731Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:26:10.9781392Z ##[endgroup]
2025-12-04T08:26:12.2676498Z Runner Type: linux.4xlarge
2025-12-04T08:26:12.2677005Z Instance Type: c5.4xlarge
2025-12-04T08:26:12.2677295Z AMI Name: unknown
2025-12-04T08:26:12.2729404Z AMI ID: ami-08982f1c5bf93d976
2025-12-04T08:26:17.6739017Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-12-04T08:26:17.6739482Z with:
2025-12-04T08:26:17.6740042Z   github-secret: ***
2025-12-04T08:26:17.6740783Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-12-04T08:26:17.6741605Z   activate-with-label: false
2025-12-04T08:26:17.6741902Z   label: with-ssh
2025-12-04T08:26:17.6742146Z   remove-existing-keys: true
2025-12-04T08:26:17.6742435Z   fail-silently: true
2025-12-04T08:26:17.6742687Z env:
2025-12-04T08:26:17.6742892Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:26:17.6743166Z ##[endgroup]
2025-12-04T08:26:17.8118761Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-12-04T08:26:17.8120311Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-12-04T08:26:17.8485879Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-12-04T08:26:17.8486344Z with:
2025-12-04T08:26:17.8486577Z   no-sudo: true
2025-12-04T08:26:17.8486807Z   submodules: recursive
2025-12-04T08:26:17.8487082Z   fetch-depth: 0
2025-12-04T08:26:17.8487319Z env:
2025-12-04T08:26:17.8487528Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:26:17.8487802Z ##[endgroup]
2025-12-04T08:26:17.8590777Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:26:17.8591759Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:26:17.8601875Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:26:17.8602282Z env:
2025-12-04T08:26:17.8602525Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:26:17.8602831Z ##[endgroup]
2025-12-04T08:26:17.8698884Z ##[group]Run # Use all available CPUs for fetching
2025-12-04T08:26:17.8699352Z # Use all available CPUs for fetching
2025-12-04T08:26:17.8699717Z cd "${GITHUB_WORKSPACE}"
2025-12-04T08:26:17.8700061Z git config --global fetch.parallel 0
2025-12-04T08:26:17.8700473Z git config --global submodule.fetchJobs 0
2025-12-04T08:26:17.8700830Z 
2025-12-04T08:26:17.8701187Z # Clean workspace. The default checkout action should also do this, but
2025-12-04T08:26:17.8701702Z # do it here as well just in case
2025-12-04T08:26:17.8702032Z if [[ -d .git ]]; then
2025-12-04T08:26:17.8702322Z   if [ -z "${NO_SUDO}" ]; then
2025-12-04T08:26:17.8702649Z     sudo git clean -ffdx
2025-12-04T08:26:17.8702939Z   else
2025-12-04T08:26:17.8703183Z     git clean -ffdx
2025-12-04T08:26:17.8703439Z   fi
2025-12-04T08:26:17.8703660Z fi
2025-12-04T08:26:17.8709384Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:26:17.8709764Z env:
2025-12-04T08:26:17.8710075Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:26:17.8710370Z   NO_SUDO: true
2025-12-04T08:26:17.8710589Z ##[endgroup]
2025-12-04T08:26:17.8834417Z ##[group]Run actions/checkout@v4
2025-12-04T08:26:17.8834725Z with:
2025-12-04T08:26:17.8834995Z   ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:26:17.8835331Z   fetch-depth: 0
2025-12-04T08:26:17.8835765Z   submodules: recursive
2025-12-04T08:26:17.8836031Z   show-progress: false
2025-12-04T08:26:17.8836293Z   repository: pytorch/pytorch
2025-12-04T08:26:17.8836730Z   token: ***
2025-12-04T08:26:17.8836962Z   ssh-strict: true
2025-12-04T08:26:17.8837205Z   ssh-user: git
2025-12-04T08:26:17.8837442Z   persist-credentials: true
2025-12-04T08:26:17.8837722Z   clean: true
2025-12-04T08:26:17.8837987Z   sparse-checkout-cone-mode: true
2025-12-04T08:26:17.8838280Z   fetch-tags: false
2025-12-04T08:26:17.8838520Z   lfs: false
2025-12-04T08:26:17.8838758Z   set-safe-directory: true
2025-12-04T08:26:17.8839015Z env:
2025-12-04T08:26:17.8839234Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:26:17.8839506Z ##[endgroup]
2025-12-04T08:26:17.9878123Z Syncing repository: pytorch/pytorch
2025-12-04T08:26:17.9879525Z ##[group]Getting Git version info
2025-12-04T08:26:17.9880027Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T08:26:17.9880715Z [command]/usr/bin/git version
2025-12-04T08:26:18.0068756Z git version 2.50.1
2025-12-04T08:26:18.0093325Z ##[endgroup]
2025-12-04T08:26:18.0102261Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/1da67cc8-e246-41b8-a3e0-b04b06a9a856/.gitconfig'
2025-12-04T08:26:18.0120713Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/1da67cc8-e246-41b8-a3e0-b04b06a9a856' before making global git config changes
2025-12-04T08:26:18.0121728Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T08:26:18.0125552Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:26:18.0167235Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T08:26:18.0170135Z ##[group]Initializing the repository
2025-12-04T08:26:18.0173990Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:26:18.0235487Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-12-04T08:26:18.0236131Z hint: is subject to change. To configure the initial branch name to use in all
2025-12-04T08:26:18.0236724Z hint: of your new repositories, which will suppress this warning, call:
2025-12-04T08:26:18.0237159Z hint:
2025-12-04T08:26:18.0237469Z hint: 	git config --global init.defaultBranch <name>
2025-12-04T08:26:18.0237834Z hint:
2025-12-04T08:26:18.0238164Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-12-04T08:26:18.0238766Z hint: 'development'. The just-created branch can be renamed via this command:
2025-12-04T08:26:18.0239221Z hint:
2025-12-04T08:26:18.0239453Z hint: 	git branch -m <name>
2025-12-04T08:26:18.0239706Z hint:
2025-12-04T08:26:18.0240084Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-12-04T08:26:18.0244789Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-12-04T08:26:18.0253277Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-12-04T08:26:18.0287827Z ##[endgroup]
2025-12-04T08:26:18.0288285Z ##[group]Disabling automatic garbage collection
2025-12-04T08:26:18.0290861Z [command]/usr/bin/git config --local gc.auto 0
2025-12-04T08:26:18.0313866Z ##[endgroup]
2025-12-04T08:26:18.0314263Z ##[group]Setting up auth
2025-12-04T08:26:18.0319974Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T08:26:18.0344342Z [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' || :"
2025-12-04T08:26:18.0672851Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T08:26:18.0698071Z [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' || :"
2025-12-04T08:26:18.0986198Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T08:26:18.1011954Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url
2025-12-04T08:26:18.1281678Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:26:18.1330578Z ##[endgroup]
2025-12-04T08:26:18.1331032Z ##[group]Fetching the repository
2025-12-04T08:26:18.1338234Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-12-04T08:27:06.2366113Z From https://github.com/pytorch/pytorch
2025-12-04T08:27:06.2367711Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-12-04T08:27:06.2368338Z  * [new branch]              2.9.1                       -> origin/2.9.1
2025-12-04T08:27:06.2368932Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-12-04T08:27:06.2369621Z  * [new branch]              Flamefire-patch-1           -> origin/Flamefire-patch-1
2025-12-04T08:27:06.2370250Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-12-04T08:27:06.2370841Z  * [new branch]              HOPrintFunc                 -> origin/HOPrintFunc
2025-12-04T08:27:06.2371952Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-12-04T08:27:06.2373914Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-12-04T08:27:06.2374883Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-12-04T08:27:06.2376311Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-12-04T08:27:06.2377309Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-12-04T08:27:06.2378411Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-12-04T08:27:06.2379578Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-12-04T08:27:06.2380840Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-12-04T08:27:06.2382562Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-12-04T08:27:06.2383949Z  * [new branch]              activation_bench            -> origin/activation_bench
2025-12-04T08:27:06.2385018Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-12-04T08:27:06.2386787Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-12-04T08:27:06.2388011Z  * [new branch]              adi/test                    -> origin/adi/test
2025-12-04T08:27:06.2389092Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-12-04T08:27:06.2390360Z  * [new branch]              adi/test_m8g                -> origin/adi/test_m8g
2025-12-04T08:27:06.2391393Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-12-04T08:27:06.2392543Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-12-04T08:27:06.2393706Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-12-04T08:27:06.2394819Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-12-04T08:27:06.2396344Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-12-04T08:27:06.2398381Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-12-04T08:27:06.2399434Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-12-04T08:27:06.2400907Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-12-04T08:27:06.2401821Z  * [new branch]              also-surround-shimh         -> origin/also-surround-shimh
2025-12-04T08:27:06.2403562Z  * [new branch]              angelayi/aot_compile        -> origin/angelayi/aot_compile
2025-12-04T08:27:06.2404724Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-12-04T08:27:06.2405724Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-12-04T08:27:06.2407006Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-12-04T08:27:06.2407962Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-12-04T08:27:06.2409147Z  * [new branch]              angelayi/inductor_const     -> origin/angelayi/inductor_const
2025-12-04T08:27:06.2410139Z  * [new branch]              angelayi/lstm               -> origin/angelayi/lstm
2025-12-04T08:27:06.2411807Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-12-04T08:27:06.2413304Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-12-04T08:27:06.2414429Z  * [new branch]              angelayi/side_eff           -> origin/angelayi/side_eff
2025-12-04T08:27:06.2415580Z  * [new branch]              angelayi/state_dict         -> origin/angelayi/state_dict
2025-12-04T08:27:06.2416925Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-12-04T08:27:06.2418090Z  * [new branch]              angelayi/symm_mem           -> origin/angelayi/symm_mem
2025-12-04T08:27:06.2419155Z  * [new branch]              angelayi/test_cpp           -> origin/angelayi/test_cpp
2025-12-04T08:27:06.2420362Z  * [new branch]              angelayi/torch_size         -> origin/angelayi/torch_size
2025-12-04T08:27:06.2421452Z  * [new branch]              annotate_assert             -> origin/annotate_assert
2025-12-04T08:27:06.2422813Z  * [new branch]              annotate_fallback_kernel    -> origin/annotate_fallback_kernel
2025-12-04T08:27:06.2423820Z  * [new branch]              annotation_deepcopy         -> origin/annotation_deepcopy
2025-12-04T08:27:06.2424946Z  * [new branch]              annotation_dynamo           -> origin/annotation_dynamo
2025-12-04T08:27:06.2426141Z  * [new branch]              aot_eager_stack_trace       -> origin/aot_eager_stack_trace
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2025-12-04T08:27:06.8572288Z  * [new branch]              zxiiro/c7i.2xlarge          -> origin/zxiiro/c7i.2xlarge
2025-12-04T08:27:06.8573619Z  * [new branch]              zxiiro/c7i.2xlarge.h100     -> origin/zxiiro/c7i.2xlarge.h100
2025-12-04T08:27:06.8574575Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-12-04T08:27:06.8575714Z  * [new branch]              zxiiro/risc64               -> origin/zxiiro/risc64
2025-12-04T08:27:06.8576878Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-12-04T08:27:06.8578075Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-12-04T08:27:06.8578846Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-12-04T08:27:06.8579840Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-12-04T08:27:06.8580545Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-12-04T08:27:06.8581295Z  * [new tag]                 ciflow/b200/161607          -> ciflow/b200/161607
2025-12-04T08:27:06.8581980Z  * [new tag]                 ciflow/b200/161938          -> ciflow/b200/161938
2025-12-04T08:27:06.8583362Z  * [new tag]                 ciflow/b200/167207          -> ciflow/b200/167207
2025-12-04T08:27:06.8583941Z  * [new tag]                 ciflow/b200/167989          -> ciflow/b200/167989
2025-12-04T08:27:06.8584829Z  * [new tag]                 ciflow/b200/168096          -> ciflow/b200/168096
2025-12-04T08:27:06.8585722Z  * [new tag]                 ciflow/b200/168175          -> ciflow/b200/168175
2025-12-04T08:27:06.8586406Z  * [new tag]                 ciflow/b200/168195          -> ciflow/b200/168195
2025-12-04T08:27:06.8587469Z  * [new tag]                 ciflow/b200/169200          -> ciflow/b200/169200
2025-12-04T08:27:06.8588195Z  * [new tag]                 ciflow/b200/169216          -> ciflow/b200/169216
2025-12-04T08:27:06.8589423Z  * [new tag]                 ciflow/b200/169380          -> ciflow/b200/169380
2025-12-04T08:27:06.8590484Z  * [new tag]                 ciflow/b200/169412          -> ciflow/b200/169412
2025-12-04T08:27:06.8591428Z  * [new tag]                 ciflow/b200/169470          -> ciflow/b200/169470
2025-12-04T08:27:06.8592212Z  * [new tag]                 ciflow/b200/169471          -> ciflow/b200/169471
2025-12-04T08:27:06.8593070Z  * [new tag]                 ciflow/b200/169472          -> ciflow/b200/169472
2025-12-04T08:27:06.8593980Z  * [new tag]                 ciflow/b200/169514          -> ciflow/b200/169514
2025-12-04T08:27:06.8595227Z  * [new tag]                 ciflow/b200/169517          -> ciflow/b200/169517
2025-12-04T08:27:06.8596220Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-12-04T08:27:06.8596961Z  * [new tag]                 ciflow/binaries/169510      -> ciflow/binaries/169510
2025-12-04T08:27:06.8597959Z  * [new tag]                 ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994
2025-12-04T08:27:06.8598857Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-12-04T08:27:06.8599587Z  * [new tag]                 ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972
2025-12-04T08:27:06.8600404Z  * [new tag]                 ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981
2025-12-04T08:27:06.8601255Z  * [new tag]                 ciflow/dynamo/167695        -> ciflow/dynamo/167695
2025-12-04T08:27:06.8602010Z  * [new tag]                 ciflow/dynamo/168096        -> ciflow/dynamo/168096
2025-12-04T08:27:06.8602992Z  * [new tag]                 ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938
2025-12-04T08:27:06.8603721Z  * [new tag]                 ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940
2025-12-04T08:27:06.8604682Z  * [new tag]                 ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923
2025-12-04T08:27:06.8605522Z  * [new tag]                 ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552
2025-12-04T08:27:06.8606239Z  * [new tag]                 ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129
2025-12-04T08:27:06.8606954Z  * [new tag]                 ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917
2025-12-04T08:27:06.8607939Z  * [new tag]                 ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156
2025-12-04T08:27:06.8608634Z  * [new tag]                 ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200
2025-12-04T08:27:06.8609338Z  * [new tag]                 ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216
2025-12-04T08:27:06.8610033Z  * [new tag]                 ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338
2025-12-04T08:27:06.8610880Z  * [new tag]                 ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355
2025-12-04T08:27:06.8611610Z  * [new tag]                 ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543
2025-12-04T08:27:06.8612391Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-12-04T08:27:06.8613111Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-12-04T08:27:06.8613938Z  * [new tag]                 ciflow/h100/160729          -> ciflow/h100/160729
2025-12-04T08:27:06.8614642Z  * [new tag]                 ciflow/h100/161607          -> ciflow/h100/161607
2025-12-04T08:27:06.8615310Z  * [new tag]                 ciflow/h100/161938          -> ciflow/h100/161938
2025-12-04T08:27:06.8616004Z  * [new tag]                 ciflow/h100/167207          -> ciflow/h100/167207
2025-12-04T08:27:06.8616715Z  * [new tag]                 ciflow/h100/167989          -> ciflow/h100/167989
2025-12-04T08:27:06.8617462Z  * [new tag]                 ciflow/h100/168096          -> ciflow/h100/168096
2025-12-04T08:27:06.8618090Z  * [new tag]                 ciflow/h100/168175          -> ciflow/h100/168175
2025-12-04T08:27:06.8618777Z  * [new tag]                 ciflow/h100/168195          -> ciflow/h100/168195
2025-12-04T08:27:06.8619484Z  * [new tag]                 ciflow/h100/168980          -> ciflow/h100/168980
2025-12-04T08:27:06.8620466Z  * [new tag]                 ciflow/h100/169200          -> ciflow/h100/169200
2025-12-04T08:27:06.8621509Z  * [new tag]                 ciflow/h100/169216          -> ciflow/h100/169216
2025-12-04T08:27:06.8622443Z  * [new tag]                 ciflow/h100/169380          -> ciflow/h100/169380
2025-12-04T08:27:06.8623200Z  * [new tag]                 ciflow/h100/169412          -> ciflow/h100/169412
2025-12-04T08:27:06.8623956Z  * [new tag]                 ciflow/h100/169470          -> ciflow/h100/169470
2025-12-04T08:27:06.8624683Z  * [new tag]                 ciflow/h100/169471          -> ciflow/h100/169471
2025-12-04T08:27:06.8625432Z  * [new tag]                 ciflow/h100/169472          -> ciflow/h100/169472
2025-12-04T08:27:06.8626178Z  * [new tag]                 ciflow/h100/169514          -> ciflow/h100/169514
2025-12-04T08:27:06.8627185Z  * [new tag]                 ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096
2025-12-04T08:27:06.8628461Z  * [new tag]                 ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096
2025-12-04T08:27:06.8629301Z  * [new tag]                 ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165
2025-12-04T08:27:06.8630245Z  * [new tag]                 ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096
2025-12-04T08:27:06.8631075Z  * [new tag]                 ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096
2025-12-04T08:27:06.8632202Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073
2025-12-04T08:27:06.8633214Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096
2025-12-04T08:27:06.8634219Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024
2025-12-04T08:27:06.8635212Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024
2025-12-04T08:27:06.8636208Z  * [new tag]                 ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096
2025-12-04T08:27:06.8636931Z  * [new tag]                 ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096
2025-12-04T08:27:06.8637563Z  * [new tag]                 ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024
2025-12-04T08:27:06.8638181Z  * [new tag]                 ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425
2025-12-04T08:27:06.8638842Z  * [new tag]                 ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545
2025-12-04T08:27:06.8639682Z  * [new tag]                 ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997
2025-12-04T08:27:06.8640406Z  * [new tag]                 ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096
2025-12-04T08:27:06.8641224Z  * [new tag]                 ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063
2025-12-04T08:27:06.8641942Z  * [new tag]                 ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425
2025-12-04T08:27:06.8642797Z  * [new tag]                 ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545
2025-12-04T08:27:06.8643508Z  * [new tag]                 ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096
2025-12-04T08:27:06.8644325Z  * [new tag]                 ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063
2025-12-04T08:27:06.8644972Z  * [new tag]                 ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425
2025-12-04T08:27:06.8645922Z  * [new tag]                 ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052
2025-12-04T08:27:06.8646781Z  * [new tag]                 ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971
2025-12-04T08:27:06.8647731Z  * [new tag]                 ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096
2025-12-04T08:27:06.8648542Z  * [new tag]                 ciflow/inductor/144542      -> ciflow/inductor/144542
2025-12-04T08:27:06.8649235Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-12-04T08:27:06.8649955Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-12-04T08:27:06.8650790Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-12-04T08:27:06.8651500Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-12-04T08:27:06.8652181Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-12-04T08:27:06.8652883Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-12-04T08:27:06.8653608Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-12-04T08:27:06.8654297Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-12-04T08:27:06.8655103Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-12-04T08:27:06.8655822Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-12-04T08:27:06.8656796Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-12-04T08:27:06.8657815Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-12-04T08:27:06.8658711Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-12-04T08:27:06.8659512Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-12-04T08:27:06.8660279Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-12-04T08:27:06.8661026Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-12-04T08:27:06.8661792Z  * [new tag]                 ciflow/inductor/162052      -> ciflow/inductor/162052
2025-12-04T08:27:06.8662530Z  * [new tag]                 ciflow/inductor/162275      -> ciflow/inductor/162275
2025-12-04T08:27:06.8663276Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-12-04T08:27:06.8664228Z  * [new tag]                 ciflow/inductor/163245      -> ciflow/inductor/163245
2025-12-04T08:27:06.8665025Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-12-04T08:27:06.8665735Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-12-04T08:27:06.8666476Z  * [new tag]                 ciflow/inductor/163942      -> ciflow/inductor/163942
2025-12-04T08:27:06.8667520Z  * [new tag]                 ciflow/inductor/165270      -> ciflow/inductor/165270
2025-12-04T08:27:06.8668307Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-12-04T08:27:06.8669022Z  * [new tag]                 ciflow/inductor/165322      -> ciflow/inductor/165322
2025-12-04T08:27:06.8669758Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-12-04T08:27:06.8670553Z  * [new tag]                 ciflow/inductor/166063      -> ciflow/inductor/166063
2025-12-04T08:27:06.8671338Z  * [new tag]                 ciflow/inductor/166075      -> ciflow/inductor/166075
2025-12-04T08:27:06.8672044Z  * [new tag]                 ciflow/inductor/166165      -> ciflow/inductor/166165
2025-12-04T08:27:06.8673101Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-12-04T08:27:06.8673790Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-12-04T08:27:06.8674565Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-12-04T08:27:06.8675282Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-12-04T08:27:06.8676018Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-12-04T08:27:06.8676907Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-12-04T08:27:06.8677691Z  * [new tag]                 ciflow/inductor/167300      -> ciflow/inductor/167300
2025-12-04T08:27:06.8678410Z  * [new tag]                 ciflow/inductor/167407      -> ciflow/inductor/167407
2025-12-04T08:27:06.8679258Z  * [new tag]                 ciflow/inductor/167536      -> ciflow/inductor/167536
2025-12-04T08:27:06.8679999Z  * [new tag]                 ciflow/inductor/167552      -> ciflow/inductor/167552
2025-12-04T08:27:06.8680877Z  * [new tag]                 ciflow/inductor/167555      -> ciflow/inductor/167555
2025-12-04T08:27:06.8681732Z  * [new tag]                 ciflow/inductor/167583      -> ciflow/inductor/167583
2025-12-04T08:27:06.8682460Z  * [new tag]                 ciflow/inductor/167599      -> ciflow/inductor/167599
2025-12-04T08:27:06.8683199Z  * [new tag]                 ciflow/inductor/167647      -> ciflow/inductor/167647
2025-12-04T08:27:06.8683970Z  * [new tag]                 ciflow/inductor/167677      -> ciflow/inductor/167677
2025-12-04T08:27:06.8684694Z  * [new tag]                 ciflow/inductor/167680      -> ciflow/inductor/167680
2025-12-04T08:27:06.8685449Z  * [new tag]                 ciflow/inductor/167695      -> ciflow/inductor/167695
2025-12-04T08:27:06.8686202Z  * [new tag]                 ciflow/inductor/167742      -> ciflow/inductor/167742
2025-12-04T08:27:06.8686954Z  * [new tag]                 ciflow/inductor/167768      -> ciflow/inductor/167768
2025-12-04T08:27:06.8687920Z  * [new tag]                 ciflow/inductor/167773      -> ciflow/inductor/167773
2025-12-04T08:27:06.8688667Z  * [new tag]                 ciflow/inductor/167781      -> ciflow/inductor/167781
2025-12-04T08:27:06.8689436Z  * [new tag]                 ciflow/inductor/167880      -> ciflow/inductor/167880
2025-12-04T08:27:06.8690206Z  * [new tag]                 ciflow/inductor/167887      -> ciflow/inductor/167887
2025-12-04T08:27:06.8690976Z  * [new tag]                 ciflow/inductor/167972      -> ciflow/inductor/167972
2025-12-04T08:27:06.8692287Z  * [new tag]                 ciflow/inductor/167989      -> ciflow/inductor/167989
2025-12-04T08:27:06.8692901Z  * [new tag]                 ciflow/inductor/168002      -> ciflow/inductor/168002
2025-12-04T08:27:06.8693680Z  * [new tag]                 ciflow/inductor/168050      -> ciflow/inductor/168050
2025-12-04T08:27:06.8694414Z  * [new tag]                 ciflow/inductor/168051      -> ciflow/inductor/168051
2025-12-04T08:27:06.8695191Z  * [new tag]                 ciflow/inductor/168052      -> ciflow/inductor/168052
2025-12-04T08:27:06.8695904Z  * [new tag]                 ciflow/inductor/168073      -> ciflow/inductor/168073
2025-12-04T08:27:06.8696649Z  * [new tag]                 ciflow/inductor/168096      -> ciflow/inductor/168096
2025-12-04T08:27:06.8697393Z  * [new tag]                 ciflow/inductor/168114      -> ciflow/inductor/168114
2025-12-04T08:27:06.8698152Z  * [new tag]                 ciflow/inductor/168115      -> ciflow/inductor/168115
2025-12-04T08:27:06.8698890Z  * [new tag]                 ciflow/inductor/168127      -> ciflow/inductor/168127
2025-12-04T08:27:06.8699629Z  * [new tag]                 ciflow/inductor/168129      -> ciflow/inductor/168129
2025-12-04T08:27:06.8700376Z  * [new tag]                 ciflow/inductor/168157      -> ciflow/inductor/168157
2025-12-04T08:27:06.8701132Z  * [new tag]                 ciflow/inductor/168175      -> ciflow/inductor/168175
2025-12-04T08:27:06.8701951Z  * [new tag]                 ciflow/inductor/168185      -> ciflow/inductor/168185
2025-12-04T08:27:06.8702618Z  * [new tag]                 ciflow/inductor/168195      -> ciflow/inductor/168195
2025-12-04T08:27:06.8703354Z  * [new tag]                 ciflow/inductor/168209      -> ciflow/inductor/168209
2025-12-04T08:27:06.8704110Z  * [new tag]                 ciflow/inductor/168266      -> ciflow/inductor/168266
2025-12-04T08:27:06.8704841Z  * [new tag]                 ciflow/inductor/168316      -> ciflow/inductor/168316
2025-12-04T08:27:06.8705820Z  * [new tag]                 ciflow/inductor/168326      -> ciflow/inductor/168326
2025-12-04T08:27:06.8706581Z  * [new tag]                 ciflow/inductor/168368      -> ciflow/inductor/168368
2025-12-04T08:27:06.8707492Z  * [new tag]                 ciflow/inductor/168894      -> ciflow/inductor/168894
2025-12-04T08:27:06.8708271Z  * [new tag]                 ciflow/inductor/168934      -> ciflow/inductor/168934
2025-12-04T08:27:06.8708987Z  * [new tag]                 ciflow/inductor/168939      -> ciflow/inductor/168939
2025-12-04T08:27:06.8709739Z  * [new tag]                 ciflow/inductor/168946      -> ciflow/inductor/168946
2025-12-04T08:27:06.8710486Z  * [new tag]                 ciflow/inductor/168950      -> ciflow/inductor/168950
2025-12-04T08:27:06.8711245Z  * [new tag]                 ciflow/inductor/168951      -> ciflow/inductor/168951
2025-12-04T08:27:06.8711969Z  * [new tag]                 ciflow/inductor/168952      -> ciflow/inductor/168952
2025-12-04T08:27:06.8712698Z  * [new tag]                 ciflow/inductor/168955      -> ciflow/inductor/168955
2025-12-04T08:27:06.8713448Z  * [new tag]                 ciflow/inductor/168971      -> ciflow/inductor/168971
2025-12-04T08:27:06.8714245Z  * [new tag]                 ciflow/inductor/168979      -> ciflow/inductor/168979
2025-12-04T08:27:06.8714982Z  * [new tag]                 ciflow/inductor/168980      -> ciflow/inductor/168980
2025-12-04T08:27:06.8715843Z  * [new tag]                 ciflow/inductor/168983      -> ciflow/inductor/168983
2025-12-04T08:27:06.8716583Z  * [new tag]                 ciflow/inductor/169006      -> ciflow/inductor/169006
2025-12-04T08:27:06.8717363Z  * [new tag]                 ciflow/inductor/169023      -> ciflow/inductor/169023
2025-12-04T08:27:06.8718144Z  * [new tag]                 ciflow/inductor/169024      -> ciflow/inductor/169024
2025-12-04T08:27:06.8718912Z  * [new tag]                 ciflow/inductor/169025      -> ciflow/inductor/169025
2025-12-04T08:27:06.8719660Z  * [new tag]                 ciflow/inductor/169066      -> ciflow/inductor/169066
2025-12-04T08:27:06.8720423Z  * [new tag]                 ciflow/inductor/169091      -> ciflow/inductor/169091
2025-12-04T08:27:06.8721170Z  * [new tag]                 ciflow/inductor/169102      -> ciflow/inductor/169102
2025-12-04T08:27:06.8721891Z  * [new tag]                 ciflow/inductor/169103      -> ciflow/inductor/169103
2025-12-04T08:27:06.8722633Z  * [new tag]                 ciflow/inductor/169121      -> ciflow/inductor/169121
2025-12-04T08:27:06.8723399Z  * [new tag]                 ciflow/inductor/169134      -> ciflow/inductor/169134
2025-12-04T08:27:06.8724144Z  * [new tag]                 ciflow/inductor/169135      -> ciflow/inductor/169135
2025-12-04T08:27:06.8724882Z  * [new tag]                 ciflow/inductor/169141      -> ciflow/inductor/169141
2025-12-04T08:27:06.8725643Z  * [new tag]                 ciflow/inductor/169151      -> ciflow/inductor/169151
2025-12-04T08:27:06.8726521Z  * [new tag]                 ciflow/inductor/169161      -> ciflow/inductor/169161
2025-12-04T08:27:06.8727257Z  * [new tag]                 ciflow/inductor/169167      -> ciflow/inductor/169167
2025-12-04T08:27:06.8728173Z  * [new tag]                 ciflow/inductor/169177      -> ciflow/inductor/169177
2025-12-04T08:27:06.8729008Z  * [new tag]                 ciflow/inductor/169185      -> ciflow/inductor/169185
2025-12-04T08:27:06.8729795Z  * [new tag]                 ciflow/inductor/169196      -> ciflow/inductor/169196
2025-12-04T08:27:06.8730686Z  * [new tag]                 ciflow/inductor/169200      -> ciflow/inductor/169200
2025-12-04T08:27:06.8731382Z  * [new tag]                 ciflow/inductor/169204      -> ciflow/inductor/169204
2025-12-04T08:27:06.8732134Z  * [new tag]                 ciflow/inductor/169216      -> ciflow/inductor/169216
2025-12-04T08:27:06.8732851Z  * [new tag]                 ciflow/inductor/169219      -> ciflow/inductor/169219
2025-12-04T08:27:06.8733595Z  * [new tag]                 ciflow/inductor/169220      -> ciflow/inductor/169220
2025-12-04T08:27:06.8734639Z  * [new tag]                 ciflow/inductor/169230      -> ciflow/inductor/169230
2025-12-04T08:27:06.8735572Z  * [new tag]                 ciflow/inductor/169242      -> ciflow/inductor/169242
2025-12-04T08:27:06.8736387Z  * [new tag]                 ciflow/inductor/169245      -> ciflow/inductor/169245
2025-12-04T08:27:06.8737268Z  * [new tag]                 ciflow/inductor/169260      -> ciflow/inductor/169260
2025-12-04T08:27:06.8738033Z  * [new tag]                 ciflow/inductor/169282      -> ciflow/inductor/169282
2025-12-04T08:27:06.8738779Z  * [new tag]                 ciflow/inductor/169286      -> ciflow/inductor/169286
2025-12-04T08:27:06.8739544Z  * [new tag]                 ciflow/inductor/169299      -> ciflow/inductor/169299
2025-12-04T08:27:06.8740475Z  * [new tag]                 ciflow/inductor/169304      -> ciflow/inductor/169304
2025-12-04T08:27:06.8741781Z  * [new tag]                 ciflow/inductor/169305      -> ciflow/inductor/169305
2025-12-04T08:27:06.8742788Z  * [new tag]                 ciflow/inductor/169308      -> ciflow/inductor/169308
2025-12-04T08:27:06.8760656Z  * [new tag]                 ciflow/inductor/169319      -> ciflow/inductor/169319
2025-12-04T08:27:06.8761358Z  * [new tag]                 ciflow/inductor/169326      -> ciflow/inductor/169326
2025-12-04T08:27:06.8761855Z  * [new tag]                 ciflow/inductor/169332      -> ciflow/inductor/169332
2025-12-04T08:27:06.8762380Z  * [new tag]                 ciflow/inductor/169333      -> ciflow/inductor/169333
2025-12-04T08:27:06.8762876Z  * [new tag]                 ciflow/inductor/169336      -> ciflow/inductor/169336
2025-12-04T08:27:06.8763371Z  * [new tag]                 ciflow/inductor/169340      -> ciflow/inductor/169340
2025-12-04T08:27:06.8763851Z  * [new tag]                 ciflow/inductor/169341      -> ciflow/inductor/169341
2025-12-04T08:27:06.8764345Z  * [new tag]                 ciflow/inductor/169343      -> ciflow/inductor/169343
2025-12-04T08:27:06.8765008Z  * [new tag]                 ciflow/inductor/169346      -> ciflow/inductor/169346
2025-12-04T08:27:06.8765508Z  * [new tag]                 ciflow/inductor/169348      -> ciflow/inductor/169348
2025-12-04T08:27:06.8765988Z  * [new tag]                 ciflow/inductor/169350      -> ciflow/inductor/169350
2025-12-04T08:27:06.8766487Z  * [new tag]                 ciflow/inductor/169355      -> ciflow/inductor/169355
2025-12-04T08:27:06.8766974Z  * [new tag]                 ciflow/inductor/169370      -> ciflow/inductor/169370
2025-12-04T08:27:06.8767471Z  * [new tag]                 ciflow/inductor/169375      -> ciflow/inductor/169375
2025-12-04T08:27:06.8767947Z  * [new tag]                 ciflow/inductor/169389      -> ciflow/inductor/169389
2025-12-04T08:27:06.8768439Z  * [new tag]                 ciflow/inductor/169391      -> ciflow/inductor/169391
2025-12-04T08:27:06.8768927Z  * [new tag]                 ciflow/inductor/169393      -> ciflow/inductor/169393
2025-12-04T08:27:06.8769408Z  * [new tag]                 ciflow/inductor/169399      -> ciflow/inductor/169399
2025-12-04T08:27:06.8769905Z  * [new tag]                 ciflow/inductor/169400      -> ciflow/inductor/169400
2025-12-04T08:27:06.8770406Z  * [new tag]                 ciflow/inductor/169415      -> ciflow/inductor/169415
2025-12-04T08:27:06.8770894Z  * [new tag]                 ciflow/inductor/169417      -> ciflow/inductor/169417
2025-12-04T08:27:06.8771445Z  * [new tag]                 ciflow/inductor/169418      -> ciflow/inductor/169418
2025-12-04T08:27:06.8771944Z  * [new tag]                 ciflow/inductor/169430      -> ciflow/inductor/169430
2025-12-04T08:27:06.8772444Z  * [new tag]                 ciflow/inductor/169432      -> ciflow/inductor/169432
2025-12-04T08:27:06.8772935Z  * [new tag]                 ciflow/inductor/169436      -> ciflow/inductor/169436
2025-12-04T08:27:06.8773412Z  * [new tag]                 ciflow/inductor/169437      -> ciflow/inductor/169437
2025-12-04T08:27:06.8773908Z  * [new tag]                 ciflow/inductor/169438      -> ciflow/inductor/169438
2025-12-04T08:27:06.8774399Z  * [new tag]                 ciflow/inductor/169441      -> ciflow/inductor/169441
2025-12-04T08:27:06.8774889Z  * [new tag]                 ciflow/inductor/169446      -> ciflow/inductor/169446
2025-12-04T08:27:06.8775364Z  * [new tag]                 ciflow/inductor/169447      -> ciflow/inductor/169447
2025-12-04T08:27:06.8775865Z  * [new tag]                 ciflow/inductor/169452      -> ciflow/inductor/169452
2025-12-04T08:27:06.8776352Z  * [new tag]                 ciflow/inductor/169455      -> ciflow/inductor/169455
2025-12-04T08:27:06.8776828Z  * [new tag]                 ciflow/inductor/169459      -> ciflow/inductor/169459
2025-12-04T08:27:06.8777316Z  * [new tag]                 ciflow/inductor/169463      -> ciflow/inductor/169463
2025-12-04T08:27:06.8777807Z  * [new tag]                 ciflow/inductor/169476      -> ciflow/inductor/169476
2025-12-04T08:27:06.8778298Z  * [new tag]                 ciflow/inductor/169485      -> ciflow/inductor/169485
2025-12-04T08:27:06.8778776Z  * [new tag]                 ciflow/inductor/169493      -> ciflow/inductor/169493
2025-12-04T08:27:06.8779267Z  * [new tag]                 ciflow/inductor/169496      -> ciflow/inductor/169496
2025-12-04T08:27:06.8779758Z  * [new tag]                 ciflow/inductor/169497      -> ciflow/inductor/169497
2025-12-04T08:27:06.8780258Z  * [new tag]                 ciflow/inductor/169503      -> ciflow/inductor/169503
2025-12-04T08:27:06.8780741Z  * [new tag]                 ciflow/inductor/169504      -> ciflow/inductor/169504
2025-12-04T08:27:06.8781329Z  * [new tag]                 ciflow/inductor/169505      -> ciflow/inductor/169505
2025-12-04T08:27:06.8781826Z  * [new tag]                 ciflow/inductor/169508      -> ciflow/inductor/169508
2025-12-04T08:27:06.8782324Z  * [new tag]                 ciflow/inductor/169509      -> ciflow/inductor/169509
2025-12-04T08:27:06.8782873Z  * [new tag]                 ciflow/inductor/169513      -> ciflow/inductor/169513
2025-12-04T08:27:06.8783367Z  * [new tag]                 ciflow/inductor/169514      -> ciflow/inductor/169514
2025-12-04T08:27:06.8784037Z  * [new tag]                 ciflow/inductor/169515      -> ciflow/inductor/169515
2025-12-04T08:27:06.8784774Z  * [new tag]                 ciflow/inductor/169517      -> ciflow/inductor/169517
2025-12-04T08:27:06.8785499Z  * [new tag]                 ciflow/inductor/169519      -> ciflow/inductor/169519
2025-12-04T08:27:06.8786380Z  * [new tag]                 ciflow/inductor/169520      -> ciflow/inductor/169520
2025-12-04T08:27:06.8787228Z  * [new tag]                 ciflow/inductor/169521      -> ciflow/inductor/169521
2025-12-04T08:27:06.8788044Z  * [new tag]                 ciflow/inductor/169524      -> ciflow/inductor/169524
2025-12-04T08:27:06.8788785Z  * [new tag]                 ciflow/inductor/169527      -> ciflow/inductor/169527
2025-12-04T08:27:06.8789557Z  * [new tag]                 ciflow/inductor/169528      -> ciflow/inductor/169528
2025-12-04T08:27:06.8790536Z  * [new tag]                 ciflow/inductor/169532      -> ciflow/inductor/169532
2025-12-04T08:27:06.8791195Z  * [new tag]                 ciflow/inductor/169535      -> ciflow/inductor/169535
2025-12-04T08:27:06.8791979Z  * [new tag]                 ciflow/inductor/169536      -> ciflow/inductor/169536
2025-12-04T08:27:06.8792737Z  * [new tag]                 ciflow/inductor/169547      -> ciflow/inductor/169547
2025-12-04T08:27:06.8793589Z  * [new tag]                 ciflow/inductor/169548      -> ciflow/inductor/169548
2025-12-04T08:27:06.8794263Z  * [new tag]                 ciflow/inductor/169549      -> ciflow/inductor/169549
2025-12-04T08:27:06.8795052Z  * [new tag]                 ciflow/inductor/169551      -> ciflow/inductor/169551
2025-12-04T08:27:06.8795792Z  * [new tag]                 ciflow/inductor/169552      -> ciflow/inductor/169552
2025-12-04T08:27:06.8796551Z  * [new tag]                 ciflow/inductor/169553      -> ciflow/inductor/169553
2025-12-04T08:27:06.8798078Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-12-04T08:27:06.8798999Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-12-04T08:27:06.8799935Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-12-04T08:27:06.8800833Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-12-04T08:27:06.8801526Z  * [new tag]                 ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075
2025-12-04T08:27:06.8802227Z  * [new tag]                 ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876
2025-12-04T08:27:06.8802935Z  * [new tag]                 ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981
2025-12-04T08:27:06.8803895Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-12-04T08:27:06.8804631Z  * [new tag]                 ciflow/mps/169017           -> ciflow/mps/169017
2025-12-04T08:27:06.8805344Z  * [new tag]                 ciflow/mps/169372           -> ciflow/mps/169372
2025-12-04T08:27:06.8806086Z  * [new tag]                 ciflow/mps/169478           -> ciflow/mps/169478
2025-12-04T08:27:06.8807154Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-12-04T08:27:06.8807802Z  * [new tag]                 ciflow/op-benchmark/166075  -> ciflow/op-benchmark/166075
2025-12-04T08:27:06.8808514Z  * [new tag]                 ciflow/op-benchmark/169544  -> ciflow/op-benchmark/169544
2025-12-04T08:27:06.8809674Z  * [new tag]                 ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997
2025-12-04T08:27:06.8810446Z  * [new tag]                 ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517
2025-12-04T08:27:06.8811144Z  * [new tag]                 ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063
2025-12-04T08:27:06.8811877Z  * [new tag]                 ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425
2025-12-04T08:27:06.8812728Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-12-04T08:27:06.8813514Z  * [new tag]                 ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063
2025-12-04T08:27:06.8814726Z  * [new tag]                 ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425
2025-12-04T08:27:06.8815758Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-12-04T08:27:06.8816439Z  * [new tag]                 ciflow/periodic/167207      -> ciflow/periodic/167207
2025-12-04T08:27:06.8817389Z  * [new tag]                 ciflow/periodic/167978      -> ciflow/periodic/167978
2025-12-04T08:27:06.8818039Z  * [new tag]                 ciflow/periodic/168096      -> ciflow/periodic/168096
2025-12-04T08:27:06.8818715Z  * [new tag]                 ciflow/periodic/169286      -> ciflow/periodic/169286
2025-12-04T08:27:06.8819756Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-12-04T08:27:06.8820537Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-12-04T08:27:06.8821465Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-12-04T08:27:06.8822385Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-12-04T08:27:06.8823989Z  * [new tag]                 ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T08:27:06.8825012Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-12-04T08:27:06.8826236Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-12-04T08:27:06.8827242Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-12-04T08:27:06.8828084Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-12-04T08:27:06.8829128Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-12-04T08:27:06.8830190Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-12-04T08:27:06.8831273Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-12-04T08:27:06.8832056Z  * [new tag]                 ciflow/pull/167207          -> ciflow/pull/167207
2025-12-04T08:27:06.8833285Z  * [new tag]                 ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207
2025-12-04T08:27:06.8834076Z  * [new tag]                 ciflow/rocm-mi200/165545    -> ciflow/rocm-mi200/165545
2025-12-04T08:27:06.8834795Z  * [new tag]                 ciflow/rocm-mi200/165997    -> ciflow/rocm-mi200/165997
2025-12-04T08:27:06.8835531Z  * [new tag]                 ciflow/rocm-mi200/168096    -> ciflow/rocm-mi200/168096
2025-12-04T08:27:06.8836432Z  * [new tag]                 ciflow/rocm-mi200/168275    -> ciflow/rocm-mi200/168275
2025-12-04T08:27:06.8837103Z  * [new tag]                 ciflow/rocm-mi200/169063    -> ciflow/rocm-mi200/169063
2025-12-04T08:27:06.8838049Z  * [new tag]                 ciflow/rocm-mi200/169356    -> ciflow/rocm-mi200/169356
2025-12-04T08:27:06.8838700Z  * [new tag]                 ciflow/rocm-mi200/169425    -> ciflow/rocm-mi200/169425
2025-12-04T08:27:06.8839682Z  * [new tag]                 ciflow/rocm-mi300/165545    -> ciflow/rocm-mi300/165545
2025-12-04T08:27:06.8840495Z  * [new tag]                 ciflow/rocm-mi300/167157    -> ciflow/rocm-mi300/167157
2025-12-04T08:27:06.8841221Z  * [new tag]                 ciflow/rocm-mi300/168096    -> ciflow/rocm-mi300/168096
2025-12-04T08:27:06.8841909Z  * [new tag]                 ciflow/rocm-mi300/169063    -> ciflow/rocm-mi300/169063
2025-12-04T08:27:06.8842640Z  * [new tag]                 ciflow/rocm-mi300/169425    -> ciflow/rocm-mi300/169425
2025-12-04T08:27:06.8843491Z  * [new tag]                 ciflow/rocm-mi355/167157    -> ciflow/rocm-mi355/167157
2025-12-04T08:27:06.8844215Z  * [new tag]                 ciflow/rocm-mi355/168275    -> ciflow/rocm-mi355/168275
2025-12-04T08:27:06.8845227Z  * [new tag]                 ciflow/rocm-mi355/169425    -> ciflow/rocm-mi355/169425
2025-12-04T08:27:06.8846158Z  * [new tag]                 ciflow/rocm-navi31/168275   -> ciflow/rocm-navi31/168275
2025-12-04T08:27:06.8846986Z  * [new tag]                 ciflow/rocm-navi31/169425   -> ciflow/rocm-navi31/169425
2025-12-04T08:27:06.8847871Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-12-04T08:27:06.8848515Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-12-04T08:27:06.8849219Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-12-04T08:27:06.8849945Z  * [new tag]                 ciflow/rocm/161607          -> ciflow/rocm/161607
2025-12-04T08:27:06.8850636Z  * [new tag]                 ciflow/rocm/162052          -> ciflow/rocm/162052
2025-12-04T08:27:06.8851364Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-12-04T08:27:06.8852059Z  * [new tag]                 ciflow/rocm/166165          -> ciflow/rocm/166165
2025-12-04T08:27:06.8852764Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-12-04T08:27:06.8853495Z  * [new tag]                 ciflow/rocm/167207          -> ciflow/rocm/167207
2025-12-04T08:27:06.8854308Z  * [new tag]                 ciflow/rocm/167536          -> ciflow/rocm/167536
2025-12-04T08:27:06.8854890Z  * [new tag]                 ciflow/rocm/167781          -> ciflow/rocm/167781
2025-12-04T08:27:06.8856060Z  * [new tag]                 ciflow/rocm/167989          -> ciflow/rocm/167989
2025-12-04T08:27:06.8857015Z  * [new tag]                 ciflow/rocm/168073          -> ciflow/rocm/168073
2025-12-04T08:27:06.8857997Z  * [new tag]                 ciflow/rocm/168195          -> ciflow/rocm/168195
2025-12-04T08:27:06.8858538Z  * [new tag]                 ciflow/rocm/168939          -> ciflow/rocm/168939
2025-12-04T08:27:06.8859416Z  * [new tag]                 ciflow/rocm/168971          -> ciflow/rocm/168971
2025-12-04T08:27:06.8860036Z  * [new tag]                 ciflow/rocm/169024          -> ciflow/rocm/169024
2025-12-04T08:27:06.8860812Z  * [new tag]                 ciflow/rocm/169200          -> ciflow/rocm/169200
2025-12-04T08:27:06.8861539Z  * [new tag]                 ciflow/rocm/169216          -> ciflow/rocm/169216
2025-12-04T08:27:06.8862254Z  * [new tag]                 ciflow/rocm/169312          -> ciflow/rocm/169312
2025-12-04T08:27:06.8862998Z  * [new tag]                 ciflow/rocm/169380          -> ciflow/rocm/169380
2025-12-04T08:27:06.8863771Z  * [new tag]                 ciflow/rocm/169427          -> ciflow/rocm/169427
2025-12-04T08:27:06.8864547Z  * [new tag]                 ciflow/rocm/169455          -> ciflow/rocm/169455
2025-12-04T08:27:06.8865281Z  * [new tag]                 ciflow/rocm/169470          -> ciflow/rocm/169470
2025-12-04T08:27:06.8866019Z  * [new tag]                 ciflow/rocm/169471          -> ciflow/rocm/169471
2025-12-04T08:27:06.8866863Z  * [new tag]                 ciflow/rocm/169472          -> ciflow/rocm/169472
2025-12-04T08:27:06.8868145Z  * [new tag]                 ciflow/rocm/169514          -> ciflow/rocm/169514
2025-12-04T08:27:06.8869204Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-12-04T08:27:06.8870105Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-12-04T08:27:06.8871606Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-12-04T08:27:06.8872058Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-12-04T08:27:06.8872777Z  * [new tag]                 ciflow/slow/167207          -> ciflow/slow/167207
2025-12-04T08:27:06.8873531Z  * [new tag]                 ciflow/slow/168050          -> ciflow/slow/168050
2025-12-04T08:27:06.8874484Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-12-04T08:27:06.8875477Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-12-04T08:27:06.8876568Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-12-04T08:27:06.8877765Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-12-04T08:27:06.8878853Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-12-04T08:27:06.8879753Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-12-04T08:27:06.8880671Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-12-04T08:27:06.8881460Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-12-04T08:27:06.8882979Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-12-04T08:27:06.8883565Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-12-04T08:27:06.8884522Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-12-04T08:27:06.8885439Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-12-04T08:27:06.8886401Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-12-04T08:27:06.8887286Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-12-04T08:27:06.8888678Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-12-04T08:27:06.8889280Z  * [new tag]                 ciflow/torchbench/168175    -> ciflow/torchbench/168175
2025-12-04T08:27:06.8890208Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-12-04T08:27:06.8890841Z  * [new tag]                 ciflow/trunk/157149         -> ciflow/trunk/157149
2025-12-04T08:27:06.8891581Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-12-04T08:27:06.8892270Z  * [new tag]                 ciflow/trunk/159718         -> ciflow/trunk/159718
2025-12-04T08:27:06.8893007Z  * [new tag]                 ciflow/trunk/160174         -> ciflow/trunk/160174
2025-12-04T08:27:06.8893708Z  * [new tag]                 ciflow/trunk/160685         -> ciflow/trunk/160685
2025-12-04T08:27:06.8894407Z  * [new tag]                 ciflow/trunk/160729         -> ciflow/trunk/160729
2025-12-04T08:27:06.8895122Z  * [new tag]                 ciflow/trunk/162275         -> ciflow/trunk/162275
2025-12-04T08:27:06.8895825Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-12-04T08:27:06.8896566Z  * [new tag]                 ciflow/trunk/163245         -> ciflow/trunk/163245
2025-12-04T08:27:06.8897261Z  * [new tag]                 ciflow/trunk/163942         -> ciflow/trunk/163942
2025-12-04T08:27:06.8898351Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-12-04T08:27:06.8899480Z  * [new tag]                 ciflow/trunk/165483         -> ciflow/trunk/165483
2025-12-04T08:27:06.8900390Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-12-04T08:27:06.8901105Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-12-04T08:27:06.8901876Z  * [new tag]                 ciflow/trunk/166075         -> ciflow/trunk/166075
2025-12-04T08:27:06.8902644Z  * [new tag]                 ciflow/trunk/166165         -> ciflow/trunk/166165
2025-12-04T08:27:06.8903381Z  * [new tag]                 ciflow/trunk/166829         -> ciflow/trunk/166829
2025-12-04T08:27:06.8904742Z  * [new tag]                 ciflow/trunk/166843         -> ciflow/trunk/166843
2025-12-04T08:27:06.8905424Z  * [new tag]                 ciflow/trunk/166876         -> ciflow/trunk/166876
2025-12-04T08:27:06.8906193Z  * [new tag]                 ciflow/trunk/167207         -> ciflow/trunk/167207
2025-12-04T08:27:06.8907009Z  * [new tag]                 ciflow/trunk/167536         -> ciflow/trunk/167536
2025-12-04T08:27:06.8907883Z  * [new tag]                 ciflow/trunk/167552         -> ciflow/trunk/167552
2025-12-04T08:27:06.8908670Z  * [new tag]                 ciflow/trunk/167555         -> ciflow/trunk/167555
2025-12-04T08:27:06.8909399Z  * [new tag]                 ciflow/trunk/167599         -> ciflow/trunk/167599
2025-12-04T08:27:06.8910193Z  * [new tag]                 ciflow/trunk/167659         -> ciflow/trunk/167659
2025-12-04T08:27:06.8911120Z  * [new tag]                 ciflow/trunk/167672         -> ciflow/trunk/167672
2025-12-04T08:27:06.8911815Z  * [new tag]                 ciflow/trunk/167742         -> ciflow/trunk/167742
2025-12-04T08:27:06.8912565Z  * [new tag]                 ciflow/trunk/167781         -> ciflow/trunk/167781
2025-12-04T08:27:06.8913557Z  * [new tag]                 ciflow/trunk/167837         -> ciflow/trunk/167837
2025-12-04T08:27:06.8914256Z  * [new tag]                 ciflow/trunk/167887         -> ciflow/trunk/167887
2025-12-04T08:27:06.8915032Z  * [new tag]                 ciflow/trunk/167978         -> ciflow/trunk/167978
2025-12-04T08:27:06.8915780Z  * [new tag]                 ciflow/trunk/168050         -> ciflow/trunk/168050
2025-12-04T08:27:06.8916581Z  * [new tag]                 ciflow/trunk/168051         -> ciflow/trunk/168051
2025-12-04T08:27:06.8917262Z  * [new tag]                 ciflow/trunk/168096         -> ciflow/trunk/168096
2025-12-04T08:27:06.8918002Z  * [new tag]                 ciflow/trunk/168127         -> ciflow/trunk/168127
2025-12-04T08:27:06.8918733Z  * [new tag]                 ciflow/trunk/168157         -> ciflow/trunk/168157
2025-12-04T08:27:06.8919490Z  * [new tag]                 ciflow/trunk/168175         -> ciflow/trunk/168175
2025-12-04T08:27:06.8920236Z  * [new tag]                 ciflow/trunk/168209         -> ciflow/trunk/168209
2025-12-04T08:27:06.8921186Z  * [new tag]                 ciflow/trunk/168213         -> ciflow/trunk/168213
2025-12-04T08:27:06.8921994Z  * [new tag]                 ciflow/trunk/168226         -> ciflow/trunk/168226
2025-12-04T08:27:06.8922748Z  * [new tag]                 ciflow/trunk/168262         -> ciflow/trunk/168262
2025-12-04T08:27:06.8923518Z  * [new tag]                 ciflow/trunk/168275         -> ciflow/trunk/168275
2025-12-04T08:27:06.8924496Z  * [new tag]                 ciflow/trunk/168328         -> ciflow/trunk/168328
2025-12-04T08:27:06.8925190Z  * [new tag]                 ciflow/trunk/168368         -> ciflow/trunk/168368
2025-12-04T08:27:06.8925934Z  * [new tag]                 ciflow/trunk/168917         -> ciflow/trunk/168917
2025-12-04T08:27:06.8926685Z  * [new tag]                 ciflow/trunk/168933         -> ciflow/trunk/168933
2025-12-04T08:27:06.8927697Z  * [new tag]                 ciflow/trunk/168941         -> ciflow/trunk/168941
2025-12-04T08:27:06.8928383Z  * [new tag]                 ciflow/trunk/168955         -> ciflow/trunk/168955
2025-12-04T08:27:06.8929164Z  * [new tag]                 ciflow/trunk/168980         -> ciflow/trunk/168980
2025-12-04T08:27:06.8930129Z  * [new tag]                 ciflow/trunk/169004         -> ciflow/trunk/169004
2025-12-04T08:27:06.8930821Z  * [new tag]                 ciflow/trunk/169006         -> ciflow/trunk/169006
2025-12-04T08:27:06.8931576Z  * [new tag]                 ciflow/trunk/169023         -> ciflow/trunk/169023
2025-12-04T08:27:06.8932323Z  * [new tag]                 ciflow/trunk/169025         -> ciflow/trunk/169025
2025-12-04T08:27:06.8933090Z  * [new tag]                 ciflow/trunk/169066         -> ciflow/trunk/169066
2025-12-04T08:27:06.8934022Z  * [new tag]                 ciflow/trunk/169091         -> ciflow/trunk/169091
2025-12-04T08:27:06.8934677Z  * [new tag]                 ciflow/trunk/169102         -> ciflow/trunk/169102
2025-12-04T08:27:06.8935422Z  * [new tag]                 ciflow/trunk/169103         -> ciflow/trunk/169103
2025-12-04T08:27:06.8936362Z  * [new tag]                 ciflow/trunk/169125         -> ciflow/trunk/169125
2025-12-04T08:27:06.8937262Z  * [new tag]                 ciflow/trunk/169139         -> ciflow/trunk/169139
2025-12-04T08:27:06.8938009Z  * [new tag]                 ciflow/trunk/169148         -> ciflow/trunk/169148
2025-12-04T08:27:06.8938776Z  * [new tag]                 ciflow/trunk/169151         -> ciflow/trunk/169151
2025-12-04T08:27:06.8939531Z  * [new tag]                 ciflow/trunk/169156         -> ciflow/trunk/169156
2025-12-04T08:27:06.8940502Z  * [new tag]                 ciflow/trunk/169176         -> ciflow/trunk/169176
2025-12-04T08:27:06.8941181Z  * [new tag]                 ciflow/trunk/169204         -> ciflow/trunk/169204
2025-12-04T08:27:06.8941938Z  * [new tag]                 ciflow/trunk/169207         -> ciflow/trunk/169207
2025-12-04T08:27:06.8942696Z  * [new tag]                 ciflow/trunk/169211         -> ciflow/trunk/169211
2025-12-04T08:27:06.8943634Z  * [new tag]                 ciflow/trunk/169229         -> ciflow/trunk/169229
2025-12-04T08:27:06.8944615Z  * [new tag]                 ciflow/trunk/169231         -> ciflow/trunk/169231
2025-12-04T08:27:06.8945294Z  * [new tag]                 ciflow/trunk/169260         -> ciflow/trunk/169260
2025-12-04T08:27:06.8946565Z  * [new tag]                 ciflow/trunk/169271         -> ciflow/trunk/169271
2025-12-04T08:27:06.8947490Z  * [new tag]                 ciflow/trunk/169280         -> ciflow/trunk/169280
2025-12-04T08:27:06.8948128Z  * [new tag]                 ciflow/trunk/169281         -> ciflow/trunk/169281
2025-12-04T08:27:06.8948893Z  * [new tag]                 ciflow/trunk/169286         -> ciflow/trunk/169286
2025-12-04T08:27:06.8949859Z  * [new tag]                 ciflow/trunk/169293         -> ciflow/trunk/169293
2025-12-04T08:27:06.8950588Z  * [new tag]                 ciflow/trunk/169296         -> ciflow/trunk/169296
2025-12-04T08:27:06.8951304Z  * [new tag]                 ciflow/trunk/169304         -> ciflow/trunk/169304
2025-12-04T08:27:06.8952054Z  * [new tag]                 ciflow/trunk/169305         -> ciflow/trunk/169305
2025-12-04T08:27:06.8952812Z  * [new tag]                 ciflow/trunk/169312         -> ciflow/trunk/169312
2025-12-04T08:27:06.8953974Z  * [new tag]                 ciflow/trunk/169328         -> ciflow/trunk/169328
2025-12-04T08:27:06.8954661Z  * [new tag]                 ciflow/trunk/169343         -> ciflow/trunk/169343
2025-12-04T08:27:06.8955388Z  * [new tag]                 ciflow/trunk/169355         -> ciflow/trunk/169355
2025-12-04T08:27:06.8956614Z  * [new tag]                 ciflow/trunk/169370         -> ciflow/trunk/169370
2025-12-04T08:27:06.8957539Z  * [new tag]                 ciflow/trunk/169379         -> ciflow/trunk/169379
2025-12-04T08:27:06.8958220Z  * [new tag]                 ciflow/trunk/169380         -> ciflow/trunk/169380
2025-12-04T08:27:06.8958980Z  * [new tag]                 ciflow/trunk/169385         -> ciflow/trunk/169385
2025-12-04T08:27:06.8959714Z  * [new tag]                 ciflow/trunk/169387         -> ciflow/trunk/169387
2025-12-04T08:27:06.8960809Z  * [new tag]                 ciflow/trunk/169410         -> ciflow/trunk/169410
2025-12-04T08:27:06.8961462Z  * [new tag]                 ciflow/trunk/169412         -> ciflow/trunk/169412
2025-12-04T08:27:06.8962361Z  * [new tag]                 ciflow/trunk/169418         -> ciflow/trunk/169418
2025-12-04T08:27:06.8963038Z  * [new tag]                 ciflow/trunk/169423         -> ciflow/trunk/169423
2025-12-04T08:27:06.8963821Z  * [new tag]                 ciflow/trunk/169427         -> ciflow/trunk/169427
2025-12-04T08:27:06.8964548Z  * [new tag]                 ciflow/trunk/169430         -> ciflow/trunk/169430
2025-12-04T08:27:06.8965314Z  * [new tag]                 ciflow/trunk/169437         -> ciflow/trunk/169437
2025-12-04T08:27:06.8966068Z  * [new tag]                 ciflow/trunk/169442         -> ciflow/trunk/169442
2025-12-04T08:27:06.8966846Z  * [new tag]                 ciflow/trunk/169452         -> ciflow/trunk/169452
2025-12-04T08:27:06.8967575Z  * [new tag]                 ciflow/trunk/169454         -> ciflow/trunk/169454
2025-12-04T08:27:06.8968338Z  * [new tag]                 ciflow/trunk/169459         -> ciflow/trunk/169459
2025-12-04T08:27:06.8969275Z  * [new tag]                 ciflow/trunk/169474         -> ciflow/trunk/169474
2025-12-04T08:27:06.8969984Z  * [new tag]                 ciflow/trunk/169475         -> ciflow/trunk/169475
2025-12-04T08:27:06.8970750Z  * [new tag]                 ciflow/trunk/169476         -> ciflow/trunk/169476
2025-12-04T08:27:06.8971705Z  * [new tag]                 ciflow/trunk/169487         -> ciflow/trunk/169487
2025-12-04T08:27:06.8972507Z  * [new tag]                 ciflow/trunk/169497         -> ciflow/trunk/169497
2025-12-04T08:27:06.8973440Z  * [new tag]                 ciflow/trunk/169503         -> ciflow/trunk/169503
2025-12-04T08:27:06.8974129Z  * [new tag]                 ciflow/trunk/169505         -> ciflow/trunk/169505
2025-12-04T08:27:06.8974870Z  * [new tag]                 ciflow/trunk/169507         -> ciflow/trunk/169507
2025-12-04T08:27:06.8975617Z  * [new tag]                 ciflow/trunk/169514         -> ciflow/trunk/169514
2025-12-04T08:27:06.8976387Z  * [new tag]                 ciflow/trunk/169517         -> ciflow/trunk/169517
2025-12-04T08:27:06.8977178Z  * [new tag]                 ciflow/trunk/169519         -> ciflow/trunk/169519
2025-12-04T08:27:06.8977895Z  * [new tag]                 ciflow/trunk/169528         -> ciflow/trunk/169528
2025-12-04T08:27:06.8978630Z  * [new tag]                 ciflow/trunk/169541         -> ciflow/trunk/169541
2025-12-04T08:27:06.8979886Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-12-04T08:27:06.8980697Z  * [new tag]                 ciflow/vllm/165270          -> ciflow/vllm/165270
2025-12-04T08:27:06.8981445Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-12-04T08:27:06.8982168Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-12-04T08:27:06.8982882Z  * [new tag]                 ciflow/vllm/169219          -> ciflow/vllm/169219
2025-12-04T08:27:06.8983603Z  * [new tag]                 ciflow/vllm/169220          -> ciflow/vllm/169220
2025-12-04T08:27:06.8984628Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-12-04T08:27:06.8985264Z  * [new tag]                 ciflow/xpu/159718           -> ciflow/xpu/159718
2025-12-04T08:27:06.8985990Z  * [new tag]                 ciflow/xpu/161940           -> ciflow/xpu/161940
2025-12-04T08:27:06.8987401Z  * [new tag]                 ciflow/xpu/163251           -> ciflow/xpu/163251
2025-12-04T08:27:06.8988055Z  * [new tag]                 ciflow/xpu/166829           -> ciflow/xpu/166829
2025-12-04T08:27:06.8988768Z  * [new tag]                 ciflow/xpu/166843           -> ciflow/xpu/166843
2025-12-04T08:27:06.8989537Z  * [new tag]                 ciflow/xpu/167972           -> ciflow/xpu/167972
2025-12-04T08:27:06.8990229Z  * [new tag]                 ciflow/xpu/167981           -> ciflow/xpu/167981
2025-12-04T08:27:06.8990951Z  * [new tag]                 ciflow/xpu/168213           -> ciflow/xpu/168213
2025-12-04T08:27:06.8991700Z  * [new tag]                 ciflow/xpu/168262           -> ciflow/xpu/168262
2025-12-04T08:27:06.8992415Z  * [new tag]                 ciflow/xpu/168328           -> ciflow/xpu/168328
2025-12-04T08:27:06.8993472Z  * [new tag]                 ciflow/xpu/168950           -> ciflow/xpu/168950
2025-12-04T08:27:06.8994616Z  * [new tag]                 ciflow/xpu/169039           -> ciflow/xpu/169039
2025-12-04T08:27:06.8995512Z  * [new tag]                 ciflow/xpu/169200           -> ciflow/xpu/169200
2025-12-04T08:27:06.8996225Z  * [new tag]                 ciflow/xpu/169203           -> ciflow/xpu/169203
2025-12-04T08:27:06.8996997Z  * [new tag]                 ciflow/xpu/169229           -> ciflow/xpu/169229
2025-12-04T08:27:06.8997786Z  * [new tag]                 ciflow/xpu/169230           -> ciflow/xpu/169230
2025-12-04T08:27:06.8998551Z  * [new tag]                 ciflow/xpu/169231           -> ciflow/xpu/169231
2025-12-04T08:27:06.8999505Z  * [new tag]                 ciflow/xpu/169241           -> ciflow/xpu/169241
2025-12-04T08:27:06.9000173Z  * [new tag]                 ciflow/xpu/169280           -> ciflow/xpu/169280
2025-12-04T08:27:06.9000926Z  * [new tag]                 ciflow/xpu/169296           -> ciflow/xpu/169296
2025-12-04T08:27:06.9001912Z  * [new tag]                 ciflow/xpu/169353           -> ciflow/xpu/169353
2025-12-04T08:27:06.9002557Z  * [new tag]                 ciflow/xpu/169410           -> ciflow/xpu/169410
2025-12-04T08:27:06.9003536Z  * [new tag]                 ciflow/xpu/169442           -> ciflow/xpu/169442
2025-12-04T08:27:06.9004300Z  * [new tag]                 cslpull75                   -> cslpull75
2025-12-04T08:27:06.9005277Z  * [new tag]                 cslpull76                   -> cslpull76
2025-12-04T08:27:06.9006040Z  * [new tag]                 cslpull77                   -> cslpull77
2025-12-04T08:27:06.9006974Z  * [new tag]                 cslpull78                   -> cslpull78
2025-12-04T08:27:06.9008029Z  * [new tag]                 cslpull79                   -> cslpull79
2025-12-04T08:27:06.9009114Z  * [new tag]                 cslpull80                   -> cslpull80
2025-12-04T08:27:06.9010056Z  * [new tag]                 cslpull81                   -> cslpull81
2025-12-04T08:27:06.9010950Z  * [new tag]                 cslpull82                   -> cslpull82
2025-12-04T08:27:06.9011922Z  * [new tag]                 cslpull83                   -> cslpull83
2025-12-04T08:27:06.9012808Z  * [new tag]                 cslpull84                   -> cslpull84
2025-12-04T08:27:06.9013517Z  * [new tag]                 cslpull85                   -> cslpull85
2025-12-04T08:27:06.9014497Z  * [new tag]                 cslpull86                   -> cslpull86
2025-12-04T08:27:06.9015376Z  * [new tag]                 cslpull87                   -> cslpull87
2025-12-04T08:27:06.9016248Z  * [new tag]                 cslpull88                   -> cslpull88
2025-12-04T08:27:06.9017135Z  * [new tag]                 cslpull89                   -> cslpull89
2025-12-04T08:27:06.9017772Z  * [new tag]                 cslpull90                   -> cslpull90
2025-12-04T08:27:06.9019101Z  * [new tag]                 cslpull91                   -> cslpull91
2025-12-04T08:27:06.9019865Z  * [new tag]                 cslpull92                   -> cslpull92
2025-12-04T08:27:06.9020873Z  * [new tag]                 flight_5                    -> flight_5
2025-12-04T08:27:06.9021877Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-12-04T08:27:06.9022772Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-12-04T08:27:06.9023722Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-12-04T08:27:06.9024625Z  * [new tag]                 forpull1                    -> forpull1
2025-12-04T08:27:06.9025731Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-12-04T08:27:06.9026668Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-12-04T08:27:06.9027676Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-12-04T08:27:06.9028563Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-12-04T08:27:06.9029442Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-12-04T08:27:06.9030453Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-12-04T08:27:06.9031732Z  * [new tag]                 trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272
2025-12-04T08:27:06.9032650Z  * [new tag]                 trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e
2025-12-04T08:27:06.9033863Z  * [new tag]                 trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88
2025-12-04T08:27:06.9034879Z  * [new tag]                 trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654
2025-12-04T08:27:06.9035808Z  * [new tag]                 trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb
2025-12-04T08:27:06.9036627Z  * [new tag]                 trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b
2025-12-04T08:27:06.9038078Z  * [new tag]                 trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672
2025-12-04T08:27:06.9038857Z  * [new tag]                 trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75
2025-12-04T08:27:06.9040151Z  * [new tag]                 trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2
2025-12-04T08:27:06.9040971Z  * [new tag]                 trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5
2025-12-04T08:27:06.9042057Z  * [new tag]                 trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688
2025-12-04T08:27:06.9042956Z  * [new tag]                 trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10
2025-12-04T08:27:06.9043823Z  * [new tag]                 trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec
2025-12-04T08:27:06.9044681Z  * [new tag]                 trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f
2025-12-04T08:27:06.9045867Z  * [new tag]                 trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11
2025-12-04T08:27:06.9046797Z  * [new tag]                 trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63
2025-12-04T08:27:06.9047776Z  * [new tag]                 trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5
2025-12-04T08:27:06.9048712Z  * [new tag]                 trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676
2025-12-04T08:27:06.9049571Z  * [new tag]                 trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e
2025-12-04T08:27:06.9050467Z  * [new tag]                 trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520
2025-12-04T08:27:06.9051361Z  * [new tag]                 trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8
2025-12-04T08:27:06.9052369Z  * [new tag]                 trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c
2025-12-04T08:27:06.9053122Z  * [new tag]                 trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d
2025-12-04T08:27:06.9054006Z  * [new tag]                 trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8
2025-12-04T08:27:06.9056697Z  * [new tag]                 trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de
2025-12-04T08:27:06.9057092Z  * [new tag]                 trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543
2025-12-04T08:27:06.9057485Z  * [new tag]                 trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7
2025-12-04T08:27:06.9057998Z  * [new tag]                 trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f
2025-12-04T08:27:06.9058756Z  * [new tag]                 trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9
2025-12-04T08:27:06.9059523Z  * [new tag]                 trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87
2025-12-04T08:27:06.9060462Z  * [new tag]                 trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc
2025-12-04T08:27:06.9061342Z  * [new tag]                 trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25
2025-12-04T08:27:06.9062268Z  * [new tag]                 trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563
2025-12-04T08:27:06.9063165Z  * [new tag]                 trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf
2025-12-04T08:27:06.9063924Z  * [new tag]                 trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd
2025-12-04T08:27:06.9064839Z  * [new tag]                 trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1
2025-12-04T08:27:06.9065750Z  * [new tag]                 trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708
2025-12-04T08:27:06.9066894Z  * [new tag]                 trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35
2025-12-04T08:27:06.9067785Z  * [new tag]                 trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec
2025-12-04T08:27:06.9068753Z  * [new tag]                 trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94
2025-12-04T08:27:06.9069870Z  * [new tag]                 trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1
2025-12-04T08:27:06.9070769Z  * [new tag]                 trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48
2025-12-04T08:27:06.9071653Z  * [new tag]                 trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991
2025-12-04T08:27:06.9072573Z  * [new tag]                 trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8
2025-12-04T08:27:06.9073461Z  * [new tag]                 trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf
2025-12-04T08:27:06.9074342Z  * [new tag]                 trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee
2025-12-04T08:27:06.9075303Z  * [new tag]                 trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938
2025-12-04T08:27:06.9076058Z  * [new tag]                 trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725
2025-12-04T08:27:06.9076958Z  * [new tag]                 trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae
2025-12-04T08:27:06.9077836Z  * [new tag]                 trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f
2025-12-04T08:27:06.9078732Z  * [new tag]                 trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c
2025-12-04T08:27:06.9079659Z  * [new tag]                 trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247
2025-12-04T08:27:06.9080524Z  * [new tag]                 trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c
2025-12-04T08:27:06.9081456Z  * [new tag]                 trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a
2025-12-04T08:27:06.9082226Z  * [new tag]                 trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686
2025-12-04T08:27:06.9083475Z  * [new tag]                 trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54
2025-12-04T08:27:06.9084123Z  * [new tag]                 trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af
2025-12-04T08:27:06.9085094Z  * [new tag]                 trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96
2025-12-04T08:27:06.9085960Z  * [new tag]                 trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873
2025-12-04T08:27:06.9086872Z  * [new tag]                 trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985
2025-12-04T08:27:06.9087625Z  * [new tag]                 trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f
2025-12-04T08:27:06.9088776Z  * [new tag]                 trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa
2025-12-04T08:27:06.9089620Z  * [new tag]                 trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c
2025-12-04T08:27:06.9091047Z  * [new tag]                 trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a
2025-12-04T08:27:06.9091946Z  * [new tag]                 trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d
2025-12-04T08:27:06.9092771Z  * [new tag]                 trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9
2025-12-04T08:27:06.9093687Z  * [new tag]                 trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3
2025-12-04T08:27:06.9094662Z  * [new tag]                 trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a
2025-12-04T08:27:06.9095573Z  * [new tag]                 trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292
2025-12-04T08:27:06.9096484Z  * [new tag]                 trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28
2025-12-04T08:27:06.9097868Z  * [new tag]                 trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66
2025-12-04T08:27:06.9098793Z  * [new tag]                 trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96
2025-12-04T08:27:06.9099668Z  * [new tag]                 trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc
2025-12-04T08:27:06.9100618Z  * [new tag]                 trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068
2025-12-04T08:27:06.9101526Z  * [new tag]                 trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd
2025-12-04T08:27:06.9102361Z  * [new tag]                 trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6
2025-12-04T08:27:06.9103484Z  * [new tag]                 trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883
2025-12-04T08:27:06.9104288Z  * [new tag]                 trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c
2025-12-04T08:27:06.9105231Z  * [new tag]                 trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b
2025-12-04T08:27:06.9106353Z  * [new tag]                 trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c
2025-12-04T08:27:06.9107248Z  * [new tag]                 trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202
2025-12-04T08:27:06.9108300Z  * [new tag]                 trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447
2025-12-04T08:27:06.9109232Z  * [new tag]                 trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef
2025-12-04T08:27:06.9110142Z  * [new tag]                 trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719
2025-12-04T08:27:06.9111059Z  * [new tag]                 trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b
2025-12-04T08:27:06.9111936Z  * [new tag]                 trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a
2025-12-04T08:27:06.9112880Z  * [new tag]                 trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206
2025-12-04T08:27:06.9113803Z  * [new tag]                 trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386
2025-12-04T08:27:06.9114680Z  * [new tag]                 trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4
2025-12-04T08:27:06.9115635Z  * [new tag]                 trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d
2025-12-04T08:27:06.9116553Z  * [new tag]                 trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b
2025-12-04T08:27:06.9117431Z  * [new tag]                 trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5
2025-12-04T08:27:06.9118311Z  * [new tag]                 trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8
2025-12-04T08:27:06.9119324Z  * [new tag]                 trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec
2025-12-04T08:27:06.9120195Z  * [new tag]                 trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71
2025-12-04T08:27:06.9121085Z  * [new tag]                 trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d
2025-12-04T08:27:06.9122046Z  * [new tag]                 trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a
2025-12-04T08:27:06.9123006Z  * [new tag]                 trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e
2025-12-04T08:27:06.9123920Z  * [new tag]                 trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8
2025-12-04T08:27:06.9124786Z  * [new tag]                 trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485
2025-12-04T08:27:06.9125726Z  * [new tag]                 trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734
2025-12-04T08:27:06.9126550Z  * [new tag]                 trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f
2025-12-04T08:27:06.9127553Z  * [new tag]                 trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696
2025-12-04T08:27:06.9128468Z  * [new tag]                 trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03
2025-12-04T08:27:06.9129652Z  * [new tag]                 trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6
2025-12-04T08:27:06.9130486Z  * [new tag]                 trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7
2025-12-04T08:27:06.9131249Z  * [new tag]                 trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3
2025-12-04T08:27:06.9132156Z  * [new tag]                 trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca
2025-12-04T08:27:06.9133018Z  * [new tag]                 trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b
2025-12-04T08:27:06.9133946Z  * [new tag]                 trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609
2025-12-04T08:27:06.9134956Z  * [new tag]                 trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b
2025-12-04T08:27:06.9135725Z  * [new tag]                 trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T08:27:06.9136532Z  * [new tag]                 trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8
2025-12-04T08:27:06.9137467Z  * [new tag]                 trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed
2025-12-04T08:27:06.9138382Z  * [new tag]                 trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8
2025-12-04T08:27:06.9139299Z  * [new tag]                 trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e
2025-12-04T08:27:06.9140074Z  * [new tag]                 trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead
2025-12-04T08:27:06.9141061Z  * [new tag]                 trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718
2025-12-04T08:27:06.9142280Z  * [new tag]                 trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0
2025-12-04T08:27:06.9143436Z  * [new tag]                 trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75
2025-12-04T08:27:06.9144253Z  * [new tag]                 trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece
2025-12-04T08:27:06.9145023Z  * [new tag]                 trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6
2025-12-04T08:27:06.9146174Z  * [new tag]                 trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4
2025-12-04T08:27:06.9150110Z  * [new tag]                 trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c
2025-12-04T08:27:06.9151226Z  * [new tag]                 trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43
2025-12-04T08:27:06.9152217Z  * [new tag]                 trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922
2025-12-04T08:27:06.9153182Z  * [new tag]                 trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca
2025-12-04T08:27:06.9154134Z  * [new tag]                 trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38
2025-12-04T08:27:06.9154899Z  * [new tag]                 trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90
2025-12-04T08:27:06.9155711Z  * [new tag]                 trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c
2025-12-04T08:27:06.9156625Z  * [new tag]                 trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87
2025-12-04T08:27:06.9157474Z  * [new tag]                 trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693
2025-12-04T08:27:06.9158385Z  * [new tag]                 trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa
2025-12-04T08:27:06.9159370Z  * [new tag]                 trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d
2025-12-04T08:27:06.9160846Z  * [new tag]                 trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639
2025-12-04T08:27:06.9161652Z  * [new tag]                 trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8
2025-12-04T08:27:06.9162777Z  * [new tag]                 trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d
2025-12-04T08:27:06.9163612Z  * [new tag]                 trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a
2025-12-04T08:27:06.9164582Z  * [new tag]                 trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742
2025-12-04T08:27:06.9165585Z  * [new tag]                 trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098
2025-12-04T08:27:06.9166520Z  * [new tag]                 trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa
2025-12-04T08:27:06.9167393Z  * [new tag]                 trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d
2025-12-04T08:27:06.9168542Z  * [new tag]                 trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c
2025-12-04T08:27:06.9169480Z  * [new tag]                 trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90
2025-12-04T08:27:06.9170317Z  * [new tag]                 trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c
2025-12-04T08:27:06.9171112Z  * [new tag]                 trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45
2025-12-04T08:27:06.9172079Z  * [new tag]                 trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109
2025-12-04T08:27:06.9173062Z  * [new tag]                 trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e
2025-12-04T08:27:06.9173939Z  * [new tag]                 trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e
2025-12-04T08:27:06.9174757Z  * [new tag]                 trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e
2025-12-04T08:27:06.9175540Z  * [new tag]                 trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48
2025-12-04T08:27:06.9176468Z  * [new tag]                 trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62
2025-12-04T08:27:06.9177487Z  * [new tag]                 trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2
2025-12-04T08:27:06.9178431Z  * [new tag]                 trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99
2025-12-04T08:27:06.9179394Z  * [new tag]                 trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24
2025-12-04T08:27:06.9180373Z  * [new tag]                 trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7
2025-12-04T08:27:06.9181362Z  * [new tag]                 trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a
2025-12-04T08:27:06.9182283Z  * [new tag]                 trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417
2025-12-04T08:27:06.9183236Z  * [new tag]                 trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4
2025-12-04T08:27:06.9184158Z  * [new tag]                 trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b
2025-12-04T08:27:06.9185147Z  * [new tag]                 trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e
2025-12-04T08:27:06.9186111Z  * [new tag]                 trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf
2025-12-04T08:27:06.9186994Z  * [new tag]                 trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5
2025-12-04T08:27:06.9188014Z  * [new tag]                 trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f
2025-12-04T08:27:06.9188999Z  * [new tag]                 trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f
2025-12-04T08:27:06.9190157Z  * [new tag]                 trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2
2025-12-04T08:27:06.9190981Z  * [new tag]                 trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55
2025-12-04T08:27:06.9192017Z  * [new tag]                 trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8
2025-12-04T08:27:06.9193186Z  * [new tag]                 trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09
2025-12-04T08:27:06.9194040Z  * [new tag]                 trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5
2025-12-04T08:27:06.9195470Z  * [new tag]                 trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564
2025-12-04T08:27:06.9196217Z  * [new tag]                 trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede
2025-12-04T08:27:06.9197359Z  * [new tag]                 trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac
2025-12-04T08:27:06.9198176Z  * [new tag]                 trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb
2025-12-04T08:27:06.9199002Z  * [new tag]                 trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1
2025-12-04T08:27:06.9200166Z  * [new tag]                 trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0
2025-12-04T08:27:06.9201288Z  * [new tag]                 trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09
2025-12-04T08:27:06.9202038Z  * [new tag]                 trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9
2025-12-04T08:27:06.9202986Z  * [new tag]                 trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a
2025-12-04T08:27:06.9203958Z  * [new tag]                 trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace
2025-12-04T08:27:06.9204806Z  * [new tag]                 trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39
2025-12-04T08:27:06.9205770Z  * [new tag]                 trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50
2025-12-04T08:27:06.9206690Z  * [new tag]                 trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01
2025-12-04T08:27:06.9207700Z  * [new tag]                 trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf
2025-12-04T08:27:06.9208599Z  * [new tag]                 trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8
2025-12-04T08:27:06.9209489Z  * [new tag]                 trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d
2025-12-04T08:27:06.9210489Z  * [new tag]                 trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47
2025-12-04T08:27:06.9211424Z  * [new tag]                 trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1
2025-12-04T08:27:06.9212347Z  * [new tag]                 trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e
2025-12-04T08:27:06.9213249Z  * [new tag]                 trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a
2025-12-04T08:27:06.9214198Z  * [new tag]                 trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b
2025-12-04T08:27:06.9215197Z  * [new tag]                 trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec
2025-12-04T08:27:06.9216115Z  * [new tag]                 trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf
2025-12-04T08:27:06.9216945Z  * [new tag]                 trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd
2025-12-04T08:27:06.9217941Z  * [new tag]                 trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889
2025-12-04T08:27:06.9218878Z  * [new tag]                 trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77
2025-12-04T08:27:06.9220253Z  * [new tag]                 trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c
2025-12-04T08:27:06.9221183Z  * [new tag]                 trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b
2025-12-04T08:27:06.9222527Z  * [new tag]                 trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235
2025-12-04T08:27:06.9223463Z  * [new tag]                 trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e
2025-12-04T08:27:06.9224619Z  * [new tag]                 trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc
2025-12-04T08:27:06.9225545Z  * [new tag]                 trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf
2025-12-04T08:27:06.9226473Z  * [new tag]                 trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e
2025-12-04T08:27:06.9227532Z  * [new tag]                 trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e
2025-12-04T08:27:06.9228945Z  * [new tag]                 trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2
2025-12-04T08:27:06.9229814Z  * [new tag]                 trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4
2025-12-04T08:27:06.9230769Z  * [new tag]                 trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53
2025-12-04T08:27:06.9231650Z  * [new tag]                 trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598
2025-12-04T08:27:06.9232641Z  * [new tag]                 trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40
2025-12-04T08:27:06.9233567Z  * [new tag]                 trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56
2025-12-04T08:27:06.9234575Z  * [new tag]                 trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8
2025-12-04T08:27:06.9235383Z  * [new tag]                 trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467
2025-12-04T08:27:06.9236332Z  * [new tag]                 trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17
2025-12-04T08:27:06.9237233Z  * [new tag]                 trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73
2025-12-04T08:27:06.9238041Z  * [new tag]                 trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7
2025-12-04T08:27:06.9239031Z  * [new tag]                 trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b
2025-12-04T08:27:06.9240026Z  * [new tag]                 trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7
2025-12-04T08:27:06.9241534Z  * [new tag]                 trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307
2025-12-04T08:27:06.9242351Z  * [new tag]                 trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009
2025-12-04T08:27:06.9243206Z  * [new tag]                 trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:27:06.9243881Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-12-04T08:27:06.9244838Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-12-04T08:27:06.9245692Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-12-04T08:27:06.9247160Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-12-04T08:27:06.9247991Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-12-04T08:27:06.9248725Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-12-04T08:27:06.9249607Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-12-04T08:27:06.9250473Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-12-04T08:27:06.9251400Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-12-04T08:27:06.9252161Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-12-04T08:27:06.9253014Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-12-04T08:27:06.9253756Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-12-04T08:27:06.9254790Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-12-04T08:27:06.9255743Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-12-04T08:27:06.9256708Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-12-04T08:27:06.9257586Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-12-04T08:27:06.9258486Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-12-04T08:27:06.9259253Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-12-04T08:27:06.9260244Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-12-04T08:27:06.9261111Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-12-04T08:27:06.9262000Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-12-04T08:27:06.9262605Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-12-04T08:27:06.9263565Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-12-04T08:27:06.9264479Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-12-04T08:27:06.9265538Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-12-04T08:27:06.9266485Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-12-04T08:27:06.9267476Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-12-04T08:27:06.9268286Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-12-04T08:27:06.9269059Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-12-04T08:27:06.9269774Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-12-04T08:27:06.9270466Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-12-04T08:27:06.9271192Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-12-04T08:27:06.9272178Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-12-04T08:27:06.9273103Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-12-04T08:27:06.9274104Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-12-04T08:27:06.9275042Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-12-04T08:27:06.9275991Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-12-04T08:27:06.9277022Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-12-04T08:27:06.9277605Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-12-04T08:27:06.9278363Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-12-04T08:27:06.9279357Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-12-04T08:27:06.9280244Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-12-04T08:27:06.9281128Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-12-04T08:27:06.9282074Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-12-04T08:27:06.9283134Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-12-04T08:27:06.9283995Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-12-04T08:27:06.9285019Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-12-04T08:27:06.9285577Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-12-04T08:27:06.9286297Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-12-04T08:27:06.9287019Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-12-04T08:27:06.9288090Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-12-04T08:27:06.9289035Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-12-04T08:27:06.9290002Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-12-04T08:27:06.9290958Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-12-04T08:27:06.9291514Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-12-04T08:27:06.9292563Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-12-04T08:27:06.9293520Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-12-04T08:27:06.9294449Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-12-04T08:27:06.9295305Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-12-04T08:27:06.9296343Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-12-04T08:27:06.9297029Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-12-04T08:27:06.9297704Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-12-04T08:27:06.9298731Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-12-04T08:27:06.9299328Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-12-04T08:27:06.9300289Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-12-04T08:27:06.9301226Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-12-04T08:27:06.9302058Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-12-04T08:27:06.9303371Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-12-04T08:27:06.9304016Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-12-04T08:27:06.9304976Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-12-04T08:27:06.9305864Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-12-04T08:27:06.9306421Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-12-04T08:27:06.9307679Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-12-04T08:27:06.9308682Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-12-04T08:27:06.9309577Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-12-04T08:27:06.9310558Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-12-04T08:27:06.9311515Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-12-04T08:27:06.9312182Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-12-04T08:27:06.9313194Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-12-04T08:27:06.9313767Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-12-04T08:27:06.9314534Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-12-04T08:27:06.9315571Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-12-04T08:27:06.9316515Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-12-04T08:27:06.9317455Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-12-04T08:27:06.9318352Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-12-04T08:27:06.9319303Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-12-04T08:27:06.9320135Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-12-04T08:27:06.9320882Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-12-04T08:27:06.9321814Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-12-04T08:27:06.9322740Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-12-04T08:27:06.9323710Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-12-04T08:27:06.9324608Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-12-04T08:27:06.9325331Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-12-04T08:27:06.9326257Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-12-04T08:27:06.9327350Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-12-04T08:27:06.9328299Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-12-04T08:27:06.9328967Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-12-04T08:27:06.9329976Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-12-04T08:27:06.9330631Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-12-04T08:27:06.9331583Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-12-04T08:27:06.9332570Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-12-04T08:27:06.9333327Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-12-04T08:27:06.9334022Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-12-04T08:27:06.9334718Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-12-04T08:27:06.9335721Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-12-04T08:27:06.9336376Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-12-04T08:27:06.9337040Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-12-04T08:27:06.9338600Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-12-04T08:27:06.9339322Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-12-04T08:27:06.9340373Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-12-04T08:27:06.9341260Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-12-04T08:27:06.9342203Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-12-04T08:27:06.9343168Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-12-04T08:27:06.9343808Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-12-04T08:27:06.9344793Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-12-04T08:27:06.9345888Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-12-04T08:27:06.9346582Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-12-04T08:27:06.9347896Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-12-04T08:27:06.9348632Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-12-04T08:27:06.9349648Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-12-04T08:27:06.9350642Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-12-04T08:27:06.9351548Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-12-04T08:27:06.9352483Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-12-04T08:27:06.9353111Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-12-04T08:27:06.9354218Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-12-04T08:27:06.9355160Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-12-04T08:27:06.9355749Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-12-04T08:27:06.9356696Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-12-04T08:27:06.9357401Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-12-04T08:27:06.9358974Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-12-04T08:27:06.9359651Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-12-04T08:27:06.9361058Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-12-04T08:27:06.9362060Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-12-04T08:27:06.9363044Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-12-04T08:27:06.9364008Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-12-04T08:27:06.9364584Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-12-04T08:27:06.9365670Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-12-04T08:27:06.9366637Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-12-04T08:27:06.9367518Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-12-04T08:27:06.9368666Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-12-04T08:27:06.9369756Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-12-04T08:27:06.9370676Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-12-04T08:27:06.9371327Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-12-04T08:27:06.9372251Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-12-04T08:27:06.9373199Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-12-04T08:27:06.9374224Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-12-04T08:27:06.9374830Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-12-04T08:27:06.9375853Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-12-04T08:27:06.9376720Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-12-04T08:27:06.9377654Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-12-04T08:27:06.9378440Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-12-04T08:27:06.9379382Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-12-04T08:27:06.9380257Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-12-04T08:27:06.9381184Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-12-04T08:27:06.9381774Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-12-04T08:27:06.9382712Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-12-04T08:27:06.9383609Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-12-04T08:27:06.9384587Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-12-04T08:27:06.9385146Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-12-04T08:27:06.9385898Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-12-04T08:27:06.9386585Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-12-04T08:27:06.9388024Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-12-04T08:27:06.9388638Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-12-04T08:27:06.9389367Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-12-04T08:27:06.9390397Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-12-04T08:27:06.9391348Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-12-04T08:27:06.9392316Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-12-04T08:27:06.9393343Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-12-04T08:27:06.9394007Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-12-04T08:27:06.9395012Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-12-04T08:27:06.9396021Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-12-04T08:27:06.9396874Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-12-04T08:27:06.9397854Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-12-04T08:27:06.9398520Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-12-04T08:27:06.9399542Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-12-04T08:27:06.9400426Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-12-04T08:27:06.9401120Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-12-04T08:27:06.9401794Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-12-04T08:27:06.9402860Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-12-04T08:27:06.9403816Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-12-04T08:27:06.9404796Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-12-04T08:27:06.9405765Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-12-04T08:27:06.9406658Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-12-04T08:27:06.9407541Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-12-04T08:27:06.9408423Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-12-04T08:27:06.9409377Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-12-04T08:27:06.9410330Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-12-04T08:27:06.9411287Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-12-04T08:27:06.9412240Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-12-04T08:27:06.9413165Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-12-04T08:27:06.9414136Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-12-04T08:27:06.9414773Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-12-04T08:27:06.9415857Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-12-04T08:27:06.9416847Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-12-04T08:27:06.9417792Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-12-04T08:27:06.9419100Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-12-04T08:27:06.9420035Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-12-04T08:27:06.9420733Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-12-04T08:27:06.9421693Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-12-04T08:27:06.9422644Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-12-04T08:27:06.9423550Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-12-04T08:27:06.9424512Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-12-04T08:27:06.9425511Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-12-04T08:27:06.9426445Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-12-04T08:27:06.9427660Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-12-04T08:27:06.9428594Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-12-04T08:27:06.9429237Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-12-04T08:27:06.9429927Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-12-04T08:27:06.9430648Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-12-04T08:27:06.9431763Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-12-04T08:27:06.9432745Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-12-04T08:27:06.9433802Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-12-04T08:27:06.9434512Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-12-04T08:27:06.9435780Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-12-04T08:27:06.9436824Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-12-04T08:27:06.9437785Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-12-04T08:27:06.9438830Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-12-04T08:27:06.9439806Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-12-04T08:27:06.9440921Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-12-04T08:27:06.9441855Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-12-04T08:27:06.9442541Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-12-04T08:27:06.9443764Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-12-04T08:27:06.9444694Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-12-04T08:27:06.9445646Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-12-04T08:27:06.9446686Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-12-04T08:27:06.9447677Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-12-04T08:27:06.9448581Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-12-04T08:27:06.9449584Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-12-04T08:27:06.9450585Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-12-04T08:27:06.9451239Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-12-04T08:27:06.9452338Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-12-04T08:27:06.9453292Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-12-04T08:27:06.9454290Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-12-04T08:27:06.9455363Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-12-04T08:27:06.9456240Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-12-04T08:27:06.9456939Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-12-04T08:27:06.9458106Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-12-04T08:27:06.9458969Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-12-04T08:27:06.9460061Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-12-04T08:27:06.9461020Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-12-04T08:27:06.9462026Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-12-04T08:27:06.9463016Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-12-04T08:27:06.9463991Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-12-04T08:27:06.9465002Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-12-04T08:27:06.9465979Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-12-04T08:27:06.9467047Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-12-04T08:27:06.9468025Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-12-04T08:27:06.9469011Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-12-04T08:27:06.9470257Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-12-04T08:27:06.9471257Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-12-04T08:27:06.9472204Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-12-04T08:27:06.9473210Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-12-04T08:27:06.9474560Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-12-04T08:27:06.9475616Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-12-04T08:27:06.9476795Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-12-04T08:27:06.9477441Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-12-04T08:27:06.9478188Z  * [new tag]                 v2.9.1                      -> v2.9.1
2025-12-04T08:27:06.9479277Z  * [new tag]                 v2.9.1-rc1                  -> v2.9.1-rc1
2025-12-04T08:27:06.9480294Z  * [new tag]                 v2.9.1-rc2                  -> v2.9.1-rc2
2025-12-04T08:27:06.9481643Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-12-04T08:27:06.9482425Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-12-04T08:27:06.9483426Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-12-04T08:27:06.9484174Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-12-04T08:27:06.9485147Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-12-04T08:27:06.9486157Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-12-04T08:27:06.9486914Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-12-04T08:27:06.9487946Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-12-04T08:27:06.9488696Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-12-04T08:27:06.9489921Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-12-04T08:27:06.9491038Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-12-04T08:27:06.9491965Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-12-04T08:27:06.9492910Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-12-04T08:27:06.9493822Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-12-04T08:27:06.9494749Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-12-04T08:27:06.9495676Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-12-04T08:27:06.9496501Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-12-04T08:27:06.9497526Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-12-04T08:27:06.9498476Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-12-04T08:27:06.9499282Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-12-04T08:27:06.9500241Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-12-04T08:27:06.9501051Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-12-04T08:27:06.9502477Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-12-04T08:27:06.9503349Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-12-04T08:27:06.9504334Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-12-04T08:27:06.9505129Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-12-04T08:27:06.9506202Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-12-04T08:27:06.9507351Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-12-04T08:27:06.9508168Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-12-04T08:27:06.9509247Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-12-04T08:27:06.9510201Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-12-04T08:27:06.9510983Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-12-04T08:27:06.9512000Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-12-04T08:27:06.9512960Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-12-04T08:27:06.9513892Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-12-04T08:27:06.9514897Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-12-04T08:27:06.9515777Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-12-04T08:27:06.9516724Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-12-04T08:27:06.9517536Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-12-04T08:27:06.9518647Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-12-04T08:27:06.9519575Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-12-04T08:27:06.9520566Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-12-04T08:27:06.9521334Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-12-04T08:27:06.9522298Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-12-04T08:27:06.9523194Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-12-04T08:27:06.9524336Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-12-04T08:27:06.9525132Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-12-04T08:27:06.9526149Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-12-04T08:27:06.9527139Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-12-04T08:27:06.9528032Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-12-04T08:27:06.9528979Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-12-04T08:27:06.9529764Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-12-04T08:27:06.9530987Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-12-04T08:27:06.9531752Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-12-04T08:27:06.9532752Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-12-04T08:27:06.9533634Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-12-04T08:27:06.9534597Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-12-04T08:27:06.9535406Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-12-04T08:27:06.9536509Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-12-04T08:27:06.9537478Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-12-04T08:27:06.9538158Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-12-04T08:27:06.9539170Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-12-04T08:27:06.9540056Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-12-04T08:27:06.9541055Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-12-04T08:27:06.9542001Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-12-04T08:27:06.9542972Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-12-04T08:27:06.9543775Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-12-04T08:27:06.9544706Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-12-04T08:27:06.9545518Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-12-04T08:27:06.9546437Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-12-04T08:27:06.9550914Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-12-04T08:27:06.9552036Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-12-04T08:27:06.9553068Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-12-04T08:27:06.9554027Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-12-04T08:27:06.9554906Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-12-04T08:27:06.9555613Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-12-04T08:27:06.9556591Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-12-04T08:27:06.9557530Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-12-04T08:27:06.9558532Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-12-04T08:27:06.9559347Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-12-04T08:27:06.9560357Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-12-04T08:27:06.9561143Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-12-04T08:27:06.9562123Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-12-04T08:27:06.9563020Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-12-04T08:27:06.9563837Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-12-04T08:27:06.9565005Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-12-04T08:27:06.9566355Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-12-04T08:27:06.9567247Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-12-04T08:27:06.9568158Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-12-04T08:27:06.9569133Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-12-04T08:27:06.9569933Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-12-04T08:27:06.9571245Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-12-04T08:27:06.9572168Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-12-04T08:27:06.9572977Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-12-04T08:27:06.9573964Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-12-04T08:27:06.9574623Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-12-04T08:27:06.9575639Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-12-04T08:27:06.9576435Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-12-04T08:27:06.9577455Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-12-04T08:27:06.9578259Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-12-04T08:27:06.9579249Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-12-04T08:27:06.9580331Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-12-04T08:27:06.9581369Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-12-04T08:27:06.9582317Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-12-04T08:27:06.9583011Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-12-04T08:27:06.9584048Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-12-04T08:27:06.9584996Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-12-04T08:27:06.9585942Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-12-04T08:27:06.9586889Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-12-04T08:27:06.9587886Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-12-04T08:27:06.9588839Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-12-04T08:27:06.9589761Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-12-04T08:27:06.9590681Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-12-04T08:27:06.9591603Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-12-04T08:27:06.9592496Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-12-04T08:27:06.9593488Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-12-04T08:27:06.9594432Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-12-04T08:27:06.9595219Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-12-04T08:27:06.9596258Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-12-04T08:27:06.9597232Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-12-04T08:27:06.9598242Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-12-04T08:27:06.9599036Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-12-04T08:27:06.9600019Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-12-04T08:27:06.9600839Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-12-04T08:27:06.9601916Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-12-04T08:27:06.9602986Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-12-04T08:27:06.9603892Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-12-04T08:27:06.9604868Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-12-04T08:27:06.9605860Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-12-04T08:27:06.9606594Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-12-04T08:27:06.9607651Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-12-04T08:27:06.9608323Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-12-04T08:27:06.9609093Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-12-04T08:27:06.9610081Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-12-04T08:27:06.9611028Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-12-04T08:27:06.9612052Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-12-04T08:27:06.9612986Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-12-04T08:27:06.9614031Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-12-04T08:27:06.9615079Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-12-04T08:27:06.9615844Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-12-04T08:27:06.9616825Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-12-04T08:27:06.9617816Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-12-04T08:27:06.9619146Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-12-04T08:27:06.9620049Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-12-04T08:27:06.9620877Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-12-04T08:27:06.9621877Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-12-04T08:27:06.9622940Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-12-04T08:27:06.9624258Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-12-04T08:27:06.9625222Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-12-04T08:27:06.9625933Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-12-04T08:27:06.9627405Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-12-04T08:27:06.9628445Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-12-04T08:27:06.9629332Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-12-04T08:27:06.9630025Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-12-04T08:27:06.9631005Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-12-04T08:27:06.9631931Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-12-04T08:27:06.9632849Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-12-04T08:27:06.9633728Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-12-04T08:27:06.9634649Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-12-04T08:27:06.9635615Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-12-04T08:27:06.9636439Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-12-04T08:27:06.9637440Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-12-04T08:27:06.9638318Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-12-04T08:27:06.9639230Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-12-04T08:27:06.9640145Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-12-04T08:27:06.9642511Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-12-04T08:27:06.9643294Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-12-04T08:27:06.9644470Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-12-04T08:27:06.9645364Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-12-04T08:27:06.9646396Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-12-04T08:27:06.9647448Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-12-04T08:27:06.9648425Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-12-04T08:27:06.9649314Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-12-04T08:27:06.9650307Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-12-04T08:27:06.9651077Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-12-04T08:27:06.9652179Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-12-04T08:27:06.9652964Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-12-04T08:27:06.9654007Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-12-04T08:27:06.9654938Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-12-04T08:27:06.9655932Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-12-04T08:27:06.9656729Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-12-04T08:27:06.9657720Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-12-04T08:27:06.9658655Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-12-04T08:27:06.9659584Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-12-04T08:27:06.9660479Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-12-04T08:27:06.9661376Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-12-04T08:27:06.9662271Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-12-04T08:27:06.9663185Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-12-04T08:27:06.9664176Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-12-04T08:27:06.9665216Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-12-04T08:27:06.9666092Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-12-04T08:27:06.9667073Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-12-04T08:27:06.9667997Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-12-04T08:27:06.9668876Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-12-04T08:27:06.9669933Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-12-04T08:27:06.9670895Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-12-04T08:27:06.9671781Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-12-04T08:27:06.9672796Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-12-04T08:27:06.9673821Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-12-04T08:27:06.9674848Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-12-04T08:27:06.9675729Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-12-04T08:27:06.9676637Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-12-04T08:27:06.9677597Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-12-04T08:27:06.9678550Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-12-04T08:27:06.9679747Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-12-04T08:27:06.9680660Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-12-04T08:27:06.9681467Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-12-04T08:27:06.9682921Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-12-04T08:27:06.9683860Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-12-04T08:27:06.9684878Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-12-04T08:27:06.9685629Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-12-04T08:27:06.9686611Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-12-04T08:27:06.9687494Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-12-04T08:27:06.9688305Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-12-04T08:27:06.9689698Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-12-04T08:27:06.9690672Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-12-04T08:27:06.9691616Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-12-04T08:27:06.9692438Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-12-04T08:27:06.9693482Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-12-04T08:27:06.9694277Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-12-04T08:27:06.9695429Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-12-04T08:27:06.9696586Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-12-04T08:27:06.9697187Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-12-04T08:27:06.9698227Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-12-04T08:27:06.9699022Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-12-04T08:27:06.9700099Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-12-04T08:27:06.9701042Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-12-04T08:27:06.9702227Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-12-04T08:27:06.9703044Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-12-04T08:27:06.9704040Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-12-04T08:27:06.9704932Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-12-04T08:27:06.9706018Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-12-04T08:27:06.9707076Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-12-04T08:27:06.9708091Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-12-04T08:27:06.9709003Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-12-04T08:27:06.9710008Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-12-04T08:27:06.9710974Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-12-04T08:27:06.9711788Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-12-04T08:27:06.9712844Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-12-04T08:27:06.9713632Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-12-04T08:27:06.9714661Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-12-04T08:27:06.9715464Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-12-04T08:27:06.9716561Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-12-04T08:27:06.9717541Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-12-04T08:27:06.9718456Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-12-04T08:27:06.9719455Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-12-04T08:27:06.9720247Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-12-04T08:27:06.9721395Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-12-04T08:27:06.9722288Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-12-04T08:27:06.9723217Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-12-04T08:27:06.9724036Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-12-04T08:27:06.9725219Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-12-04T08:27:06.9726140Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-12-04T08:27:06.9727087Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-12-04T08:27:06.9728074Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-12-04T08:27:06.9729082Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-12-04T08:27:06.9730047Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-12-04T08:27:06.9731099Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-12-04T08:27:06.9732348Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-12-04T08:27:06.9733182Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-12-04T08:27:06.9734258Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-12-04T08:27:06.9735379Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-12-04T08:27:06.9736739Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-12-04T08:27:06.9737817Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-12-04T08:27:06.9738744Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-12-04T08:27:06.9739764Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-12-04T08:27:06.9740574Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-12-04T08:27:06.9741374Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-12-04T08:27:06.9742500Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-12-04T08:27:06.9743663Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-12-04T08:27:06.9744681Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-12-04T08:27:06.9745666Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-12-04T08:27:06.9746754Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-12-04T08:27:06.9747916Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-12-04T08:27:06.9748887Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-12-04T08:27:06.9749809Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-12-04T08:27:06.9750545Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-12-04T08:27:06.9751592Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-12-04T08:27:06.9753004Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-12-04T08:27:06.9753967Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-12-04T08:27:06.9754771Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-12-04T08:27:06.9755914Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-12-04T08:27:06.9756685Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-12-04T08:27:06.9757711Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-12-04T08:27:06.9758656Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-12-04T08:27:06.9759799Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-12-04T08:27:06.9760600Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-12-04T08:27:06.9761904Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-12-04T08:27:06.9762923Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-12-04T08:27:06.9763654Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-12-04T08:27:06.9764427Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-12-04T08:27:06.9765484Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-12-04T08:27:06.9766460Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-12-04T08:27:06.9767262Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-12-04T08:27:06.9768435Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-12-04T08:27:06.9769451Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-12-04T08:27:06.9770422Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-12-04T08:27:06.9771381Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-12-04T08:27:06.9772315Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-12-04T08:27:06.9773324Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-12-04T08:27:06.9774330Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-12-04T08:27:06.9775332Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-12-04T08:27:06.9776303Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-12-04T08:27:06.9777394Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-12-04T08:27:06.9778295Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-12-04T08:27:06.9779350Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-12-04T08:27:06.9780387Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-12-04T08:27:06.9781396Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-12-04T08:27:06.9782399Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-12-04T08:27:06.9783431Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-12-04T08:27:06.9784185Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-12-04T08:27:06.9785273Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-12-04T08:27:06.9786295Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-12-04T08:27:06.9787455Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-12-04T08:27:06.9788418Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-12-04T08:27:06.9789860Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-12-04T08:27:06.9790826Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-12-04T08:27:06.9791856Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-12-04T08:27:06.9792773Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-12-04T08:27:06.9793782Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-12-04T08:27:06.9794770Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-12-04T08:27:06.9795693Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-12-04T08:27:06.9796686Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-12-04T08:27:06.9797702Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-12-04T08:27:06.9798735Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-12-04T08:27:06.9799711Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-12-04T08:27:06.9800665Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-12-04T08:27:06.9801766Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-12-04T08:27:06.9802732Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-12-04T08:27:06.9803676Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-12-04T08:27:06.9804843Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-12-04T08:27:06.9805782Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-12-04T08:27:06.9806808Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-12-04T08:27:06.9807761Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-12-04T08:27:06.9808764Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-12-04T08:27:06.9809733Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-12-04T08:27:06.9810739Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-12-04T08:27:06.9811707Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-12-04T08:27:06.9812634Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-12-04T08:27:06.9813668Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-12-04T08:27:06.9814633Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-12-04T08:27:06.9815576Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-12-04T08:27:06.9817012Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-12-04T08:27:06.9818032Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-12-04T08:27:06.9819085Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-12-04T08:27:06.9819972Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-12-04T08:27:06.9820977Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-12-04T08:27:06.9821915Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-12-04T08:27:06.9822882Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-12-04T08:27:06.9825319Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-12-04T08:27:06.9825503Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-12-04T08:27:06.9826665Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-12-04T08:27:06.9826898Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-12-04T08:27:06.9828160Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-12-04T08:27:06.9828915Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-12-04T08:27:06.9830068Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-12-04T08:27:06.9831058Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-12-04T08:27:06.9832066Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-12-04T08:27:06.9833017Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-12-04T08:27:06.9834046Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-12-04T08:27:06.9835056Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-12-04T08:27:06.9836128Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-12-04T08:27:06.9837081Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-12-04T08:27:06.9838046Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-12-04T08:27:06.9838983Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-12-04T08:27:06.9839970Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-12-04T08:27:06.9840687Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-12-04T08:27:06.9842106Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-12-04T08:27:06.9842856Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-12-04T08:27:06.9843977Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-12-04T08:27:06.9844934Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-12-04T08:27:06.9845893Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-12-04T08:27:06.9847054Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-12-04T08:27:06.9848107Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-12-04T08:27:06.9849118Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-12-04T08:27:06.9850111Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-12-04T08:27:06.9850988Z  * [new tag]                 viable/strict/1762194412    -> viable/strict/1762194412
2025-12-04T08:27:06.9852053Z  * [new tag]                 viable/strict/1762195876    -> viable/strict/1762195876
2025-12-04T08:27:06.9853001Z  * [new tag]                 viable/strict/1762197788    -> viable/strict/1762197788
2025-12-04T08:27:06.9854034Z  * [new tag]                 viable/strict/1762199389    -> viable/strict/1762199389
2025-12-04T08:27:06.9855214Z  * [new tag]                 viable/strict/1762206585    -> viable/strict/1762206585
2025-12-04T08:27:06.9856303Z  * [new tag]                 viable/strict/1762210184    -> viable/strict/1762210184
2025-12-04T08:27:06.9857118Z  * [new tag]                 viable/strict/1762218736    -> viable/strict/1762218736
2025-12-04T08:27:06.9858147Z  * [new tag]                 viable/strict/1762224529    -> viable/strict/1762224529
2025-12-04T08:27:06.9859209Z  * [new tag]                 viable/strict/1762227253    -> viable/strict/1762227253
2025-12-04T08:27:06.9859947Z  * [new tag]                 viable/strict/1762228515    -> viable/strict/1762228515
2025-12-04T08:27:06.9861148Z  * [new tag]                 viable/strict/1762230349    -> viable/strict/1762230349
2025-12-04T08:27:06.9862105Z  * [new tag]                 viable/strict/1762231859    -> viable/strict/1762231859
2025-12-04T08:27:06.9863094Z  * [new tag]                 viable/strict/1762233925    -> viable/strict/1762233925
2025-12-04T08:27:06.9864274Z  * [new tag]                 viable/strict/1762237630    -> viable/strict/1762237630
2025-12-04T08:27:06.9864932Z  * [new tag]                 viable/strict/1762253522    -> viable/strict/1762253522
2025-12-04T08:27:06.9866239Z  * [new tag]                 viable/strict/1762278588    -> viable/strict/1762278588
2025-12-04T08:27:06.9867298Z  * [new tag]                 viable/strict/1762284203    -> viable/strict/1762284203
2025-12-04T08:27:06.9868504Z  * [new tag]                 viable/strict/1762289446    -> viable/strict/1762289446
2025-12-04T08:27:06.9869509Z  * [new tag]                 viable/strict/1762291515    -> viable/strict/1762291515
2025-12-04T08:27:06.9870488Z  * [new tag]                 viable/strict/1762295100    -> viable/strict/1762295100
2025-12-04T08:27:06.9871255Z  * [new tag]                 viable/strict/1762296590    -> viable/strict/1762296590
2025-12-04T08:27:06.9872161Z  * [new tag]                 viable/strict/1762300179    -> viable/strict/1762300179
2025-12-04T08:27:06.9872955Z  * [new tag]                 viable/strict/1762303207    -> viable/strict/1762303207
2025-12-04T08:27:06.9874160Z  * [new tag]                 viable/strict/1762386584    -> viable/strict/1762386584
2025-12-04T08:27:06.9875141Z  * [new tag]                 viable/strict/1762391537    -> viable/strict/1762391537
2025-12-04T08:27:06.9875900Z  * [new tag]                 viable/strict/1762394119    -> viable/strict/1762394119
2025-12-04T08:27:06.9877284Z  * [new tag]                 viable/strict/1762397437    -> viable/strict/1762397437
2025-12-04T08:27:06.9878279Z  * [new tag]                 viable/strict/1762400256    -> viable/strict/1762400256
2025-12-04T08:27:06.9879270Z  * [new tag]                 viable/strict/1762401469    -> viable/strict/1762401469
2025-12-04T08:27:06.9880301Z  * [new tag]                 viable/strict/1762408195    -> viable/strict/1762408195
2025-12-04T08:27:06.9881673Z  * [new tag]                 viable/strict/1762410411    -> viable/strict/1762410411
2025-12-04T08:27:06.9882668Z  * [new tag]                 viable/strict/1762417613    -> viable/strict/1762417613
2025-12-04T08:27:06.9883692Z  * [new tag]                 viable/strict/1762419198    -> viable/strict/1762419198
2025-12-04T08:27:06.9884718Z  * [new tag]                 viable/strict/1762422656    -> viable/strict/1762422656
2025-12-04T08:27:06.9886122Z  * [new tag]                 viable/strict/1762424746    -> viable/strict/1762424746
2025-12-04T08:27:06.9887164Z  * [new tag]                 viable/strict/1762446386    -> viable/strict/1762446386
2025-12-04T08:27:06.9888221Z  * [new tag]                 viable/strict/1762449912    -> viable/strict/1762449912
2025-12-04T08:27:06.9889182Z  * [new tag]                 viable/strict/1762457031    -> viable/strict/1762457031
2025-12-04T08:27:06.9890154Z  * [new tag]                 viable/strict/1762462441    -> viable/strict/1762462441
2025-12-04T08:27:06.9891162Z  * [new tag]                 viable/strict/1762467909    -> viable/strict/1762467909
2025-12-04T08:27:06.9892222Z  * [new tag]                 viable/strict/1762471493    -> viable/strict/1762471493
2025-12-04T08:27:06.9893214Z  * [new tag]                 viable/strict/1762475990    -> viable/strict/1762475990
2025-12-04T08:27:06.9894256Z  * [new tag]                 viable/strict/1762477933    -> viable/strict/1762477933
2025-12-04T08:27:06.9895282Z  * [new tag]                 viable/strict/1762491053    -> viable/strict/1762491053
2025-12-04T08:27:06.9896290Z  * [new tag]                 viable/strict/1762493118    -> viable/strict/1762493118
2025-12-04T08:27:06.9897214Z  * [new tag]                 viable/strict/1762498442    -> viable/strict/1762498442
2025-12-04T08:27:06.9898213Z  * [new tag]                 viable/strict/1762501778    -> viable/strict/1762501778
2025-12-04T08:27:06.9899355Z  * [new tag]                 viable/strict/1762504001    -> viable/strict/1762504001
2025-12-04T08:27:06.9900516Z  * [new tag]                 viable/strict/1762505583    -> viable/strict/1762505583
2025-12-04T08:27:06.9901606Z  * [new tag]                 viable/strict/1762507523    -> viable/strict/1762507523
2025-12-04T08:27:06.9902560Z  * [new tag]                 viable/strict/1762511140    -> viable/strict/1762511140
2025-12-04T08:27:06.9903680Z  * [new tag]                 viable/strict/1762512632    -> viable/strict/1762512632
2025-12-04T08:27:06.9904692Z  * [new tag]                 viable/strict/1762520467    -> viable/strict/1762520467
2025-12-04T08:27:06.9905663Z  * [new tag]                 viable/strict/1762522016    -> viable/strict/1762522016
2025-12-04T08:27:06.9906624Z  * [new tag]                 viable/strict/1762530591    -> viable/strict/1762530591
2025-12-04T08:27:06.9907793Z  * [new tag]                 viable/strict/1762543405    -> viable/strict/1762543405
2025-12-04T08:27:06.9908528Z  * [new tag]                 viable/strict/1762544998    -> viable/strict/1762544998
2025-12-04T08:27:06.9909613Z  * [new tag]                 viable/strict/1762552182    -> viable/strict/1762552182
2025-12-04T08:27:06.9910606Z  * [new tag]                 viable/strict/1762554297    -> viable/strict/1762554297
2025-12-04T08:27:06.9911329Z  * [new tag]                 viable/strict/1762559381    -> viable/strict/1762559381
2025-12-04T08:27:06.9912495Z  * [new tag]                 viable/strict/1762562222    -> viable/strict/1762562222
2025-12-04T08:27:06.9913461Z  * [new tag]                 viable/strict/1762564319    -> viable/strict/1762564319
2025-12-04T08:27:06.9914233Z  * [new tag]                 viable/strict/1762566904    -> viable/strict/1762566904
2025-12-04T08:27:06.9915292Z  * [new tag]                 viable/strict/1762569781    -> viable/strict/1762569781
2025-12-04T08:27:06.9916081Z  * [new tag]                 viable/strict/1762575940    -> viable/strict/1762575940
2025-12-04T08:27:06.9917188Z  * [new tag]                 viable/strict/1762580974    -> viable/strict/1762580974
2025-12-04T08:27:06.9918146Z  * [new tag]                 viable/strict/1762583185    -> viable/strict/1762583185
2025-12-04T08:27:06.9919126Z  * [new tag]                 viable/strict/1762586647    -> viable/strict/1762586647
2025-12-04T08:27:06.9920079Z  * [new tag]                 viable/strict/1762588183    -> viable/strict/1762588183
2025-12-04T08:27:06.9921099Z  * [new tag]                 viable/strict/1762593886    -> viable/strict/1762593886
2025-12-04T08:27:06.9922087Z  * [new tag]                 viable/strict/1762650743    -> viable/strict/1762650743
2025-12-04T08:27:06.9923179Z  * [new tag]                 viable/strict/1762653328    -> viable/strict/1762653328
2025-12-04T08:27:06.9924161Z  * [new tag]                 viable/strict/1762659342    -> viable/strict/1762659342
2025-12-04T08:27:06.9925116Z  * [new tag]                 viable/strict/1762662360    -> viable/strict/1762662360
2025-12-04T08:27:06.9926087Z  * [new tag]                 viable/strict/1762667377    -> viable/strict/1762667377
2025-12-04T08:27:06.9927071Z  * [new tag]                 viable/strict/1762671090    -> viable/strict/1762671090
2025-12-04T08:27:06.9928052Z  * [new tag]                 viable/strict/1762680284    -> viable/strict/1762680284
2025-12-04T08:27:06.9929055Z  * [new tag]                 viable/strict/1762683900    -> viable/strict/1762683900
2025-12-04T08:27:06.9930047Z  * [new tag]                 viable/strict/1762705541    -> viable/strict/1762705541
2025-12-04T08:27:06.9931136Z  * [new tag]                 viable/strict/1762709004    -> viable/strict/1762709004
2025-12-04T08:27:06.9932121Z  * [new tag]                 viable/strict/1762746004    -> viable/strict/1762746004
2025-12-04T08:27:06.9933299Z  * [new tag]                 viable/strict/1762748799    -> viable/strict/1762748799
2025-12-04T08:27:06.9934276Z  * [new tag]                 viable/strict/1762759504    -> viable/strict/1762759504
2025-12-04T08:27:06.9935378Z  * [new tag]                 viable/strict/1762760973    -> viable/strict/1762760973
2025-12-04T08:27:06.9936372Z  * [new tag]                 viable/strict/1762775374    -> viable/strict/1762775374
2025-12-04T08:27:06.9937416Z  * [new tag]                 viable/strict/1762777661    -> viable/strict/1762777661
2025-12-04T08:27:06.9938380Z  * [new tag]                 viable/strict/1762779774    -> viable/strict/1762779774
2025-12-04T08:27:06.9939420Z  * [new tag]                 viable/strict/1762781259    -> viable/strict/1762781259
2025-12-04T08:27:06.9940541Z  * [new tag]                 viable/strict/1762793628    -> viable/strict/1762793628
2025-12-04T08:27:06.9941523Z  * [new tag]                 viable/strict/1762800711    -> viable/strict/1762800711
2025-12-04T08:27:06.9942516Z  * [new tag]                 viable/strict/1762809894    -> viable/strict/1762809894
2025-12-04T08:27:06.9943475Z  * [new tag]                 viable/strict/1762811384    -> viable/strict/1762811384
2025-12-04T08:27:06.9944559Z  * [new tag]                 viable/strict/1762813841    -> viable/strict/1762813841
2025-12-04T08:27:06.9945598Z  * [new tag]                 viable/strict/1762815047    -> viable/strict/1762815047
2025-12-04T08:27:06.9950945Z  * [new tag]                 viable/strict/1762817094    -> viable/strict/1762817094
2025-12-04T08:27:06.9952087Z  * [new tag]                 viable/strict/1762818582    -> viable/strict/1762818582
2025-12-04T08:27:06.9953098Z  * [new tag]                 viable/strict/1762821623    -> viable/strict/1762821623
2025-12-04T08:27:06.9953882Z  * [new tag]                 viable/strict/1762823531    -> viable/strict/1762823531
2025-12-04T08:27:06.9955155Z  * [new tag]                 viable/strict/1762849583    -> viable/strict/1762849583
2025-12-04T08:27:06.9956164Z  * [new tag]                 viable/strict/1762851200    -> viable/strict/1762851200
2025-12-04T08:27:06.9957107Z  * [new tag]                 viable/strict/1762854603    -> viable/strict/1762854603
2025-12-04T08:27:06.9958111Z  * [new tag]                 viable/strict/1762858276    -> viable/strict/1762858276
2025-12-04T08:27:06.9959199Z  * [new tag]                 viable/strict/1762860891    -> viable/strict/1762860891
2025-12-04T08:27:06.9960788Z  * [new tag]                 viable/strict/1762866174    -> viable/strict/1762866174
2025-12-04T08:27:06.9961717Z  * [new tag]                 viable/strict/1762867653    -> viable/strict/1762867653
2025-12-04T08:27:06.9962733Z  * [new tag]                 viable/strict/1762872669    -> viable/strict/1762872669
2025-12-04T08:27:06.9963466Z  * [new tag]                 viable/strict/1762878380    -> viable/strict/1762878380
2025-12-04T08:27:06.9964616Z  * [new tag]                 viable/strict/1762889003    -> viable/strict/1762889003
2025-12-04T08:27:06.9965673Z  * [new tag]                 viable/strict/1762890589    -> viable/strict/1762890589
2025-12-04T08:27:06.9966666Z  * [new tag]                 viable/strict/1762892743    -> viable/strict/1762892743
2025-12-04T08:27:06.9967679Z  * [new tag]                 viable/strict/1762894271    -> viable/strict/1762894271
2025-12-04T08:27:06.9968637Z  * [new tag]                 viable/strict/1762896287    -> viable/strict/1762896287
2025-12-04T08:27:06.9969655Z  * [new tag]                 viable/strict/1762915871    -> viable/strict/1762915871
2025-12-04T08:27:06.9970646Z  * [new tag]                 viable/strict/1762918569    -> viable/strict/1762918569
2025-12-04T08:27:06.9971415Z  * [new tag]                 viable/strict/1762919776    -> viable/strict/1762919776
2025-12-04T08:27:06.9972560Z  * [new tag]                 viable/strict/1762923072    -> viable/strict/1762923072
2025-12-04T08:27:06.9973584Z  * [new tag]                 viable/strict/1762928826    -> viable/strict/1762928826
2025-12-04T08:27:06.9974698Z  * [new tag]                 viable/strict/1762930451    -> viable/strict/1762930451
2025-12-04T08:27:06.9975675Z  * [new tag]                 viable/strict/1762933780    -> viable/strict/1762933780
2025-12-04T08:27:06.9976740Z  * [new tag]                 viable/strict/1762937638    -> viable/strict/1762937638
2025-12-04T08:27:06.9977869Z  * [new tag]                 viable/strict/1762939545    -> viable/strict/1762939545
2025-12-04T08:27:06.9978964Z  * [new tag]                 viable/strict/1762962692    -> viable/strict/1762962692
2025-12-04T08:27:06.9979913Z  * [new tag]                 viable/strict/1762979143    -> viable/strict/1762979143
2025-12-04T08:27:06.9980894Z  * [new tag]                 viable/strict/1762984188    -> viable/strict/1762984188
2025-12-04T08:27:06.9981657Z  * [new tag]                 viable/strict/1762986306    -> viable/strict/1762986306
2025-12-04T08:27:06.9982764Z  * [new tag]                 viable/strict/1762989903    -> viable/strict/1762989903
2025-12-04T08:27:06.9983757Z  * [new tag]                 viable/strict/1762991377    -> viable/strict/1762991377
2025-12-04T08:27:06.9984762Z  * [new tag]                 viable/strict/1762998921    -> viable/strict/1762998921
2025-12-04T08:27:06.9985870Z  * [new tag]                 viable/strict/1763002287    -> viable/strict/1763002287
2025-12-04T08:27:06.9986979Z  * [new tag]                 viable/strict/1763016840    -> viable/strict/1763016840
2025-12-04T08:27:06.9988408Z  * [new tag]                 viable/strict/1763020180    -> viable/strict/1763020180
2025-12-04T08:27:06.9989465Z  * [new tag]                 viable/strict/1763027421    -> viable/strict/1763027421
2025-12-04T08:27:06.9990446Z  * [new tag]                 viable/strict/1763031120    -> viable/strict/1763031120
2025-12-04T08:27:06.9991525Z  * [new tag]                 viable/strict/1763036861    -> viable/strict/1763036861
2025-12-04T08:27:06.9992535Z  * [new tag]                 viable/strict/1763038993    -> viable/strict/1763038993
2025-12-04T08:27:06.9993595Z  * [new tag]                 viable/strict/1763054703    -> viable/strict/1763054703
2025-12-04T08:27:06.9994380Z  * [new tag]                 viable/strict/1763067061    -> viable/strict/1763067061
2025-12-04T08:27:06.9995506Z  * [new tag]                 viable/strict/1763070847    -> viable/strict/1763070847
2025-12-04T08:27:06.9996540Z  * [new tag]                 viable/strict/1763072706    -> viable/strict/1763072706
2025-12-04T08:27:06.9997602Z  * [new tag]                 viable/strict/1763076302    -> viable/strict/1763076302
2025-12-04T08:27:06.9998586Z  * [new tag]                 viable/strict/1763080816    -> viable/strict/1763080816
2025-12-04T08:27:06.9999541Z  * [new tag]                 viable/strict/1763082732    -> viable/strict/1763082732
2025-12-04T08:27:07.0000530Z  * [new tag]                 viable/strict/1763085329    -> viable/strict/1763085329
2025-12-04T08:27:07.0001627Z  * [new tag]                 viable/strict/1763088623    -> viable/strict/1763088623
2025-12-04T08:27:07.0002768Z  * [new tag]                 viable/strict/1763091402    -> viable/strict/1763091402
2025-12-04T08:27:07.0003775Z  * [new tag]                 viable/strict/1763092602    -> viable/strict/1763092602
2025-12-04T08:27:07.0004758Z  * [new tag]                 viable/strict/1763094355    -> viable/strict/1763094355
2025-12-04T08:27:07.0005772Z  * [new tag]                 viable/strict/1763099390    -> viable/strict/1763099390
2025-12-04T08:27:07.0006826Z  * [new tag]                 viable/strict/1763101608    -> viable/strict/1763101608
2025-12-04T08:27:07.0007842Z  * [new tag]                 viable/strict/1763105102    -> viable/strict/1763105102
2025-12-04T08:27:07.0008908Z  * [new tag]                 viable/strict/1763112347    -> viable/strict/1763112347
2025-12-04T08:27:07.0009946Z  * [new tag]                 viable/strict/1763119471    -> viable/strict/1763119471
2025-12-04T08:27:07.0010740Z  * [new tag]                 viable/strict/1763126835    -> viable/strict/1763126835
2025-12-04T08:27:07.0011672Z  * [new tag]                 viable/strict/1763149779    -> viable/strict/1763149779
2025-12-04T08:27:07.0012695Z  * [new tag]                 viable/strict/1763164178    -> viable/strict/1763164178
2025-12-04T08:27:07.0013687Z  * [new tag]                 viable/strict/1763167104    -> viable/strict/1763167104
2025-12-04T08:27:07.0014683Z  * [new tag]                 viable/strict/1763169132    -> viable/strict/1763169132
2025-12-04T08:27:07.0015754Z  * [new tag]                 viable/strict/1763171708    -> viable/strict/1763171708
2025-12-04T08:27:07.0017110Z  * [new tag]                 viable/strict/1763174759    -> viable/strict/1763174759
2025-12-04T08:27:07.0018150Z  * [new tag]                 viable/strict/1763180744    -> viable/strict/1763180744
2025-12-04T08:27:07.0019131Z  * [new tag]                 viable/strict/1763182227    -> viable/strict/1763182227
2025-12-04T08:27:07.0020168Z  * [new tag]                 viable/strict/1763184309    -> viable/strict/1763184309
2025-12-04T08:27:07.0021709Z  * [new tag]                 viable/strict/1763187991    -> viable/strict/1763187991
2025-12-04T08:27:07.0022501Z  * [new tag]                 viable/strict/1763191445    -> viable/strict/1763191445
2025-12-04T08:27:07.0023760Z  * [new tag]                 viable/strict/1763195152    -> viable/strict/1763195152
2025-12-04T08:27:07.0024517Z  * [new tag]                 viable/strict/1763205769    -> viable/strict/1763205769
2025-12-04T08:27:07.0025661Z  * [new tag]                 viable/strict/1763246990    -> viable/strict/1763246990
2025-12-04T08:27:07.0026668Z  * [new tag]                 viable/strict/1763261578    -> viable/strict/1763261578
2025-12-04T08:27:07.0027702Z  * [new tag]                 viable/strict/1763286573    -> viable/strict/1763286573
2025-12-04T08:27:07.0028471Z  * [new tag]                 viable/strict/1763292167    -> viable/strict/1763292167
2025-12-04T08:27:07.0029714Z  * [new tag]                 viable/strict/1763333386    -> viable/strict/1763333386
2025-12-04T08:27:07.0030708Z  * [new tag]                 viable/strict/1763340082    -> viable/strict/1763340082
2025-12-04T08:27:07.0032407Z  * [new tag]                 viable/strict/1763364324    -> viable/strict/1763364324
2025-12-04T08:27:07.0033430Z  * [new tag]                 viable/strict/1763371569    -> viable/strict/1763371569
2025-12-04T08:27:07.0034429Z  * [new tag]                 viable/strict/1763373067    -> viable/strict/1763373067
2025-12-04T08:27:07.0035467Z  * [new tag]                 viable/strict/1763375157    -> viable/strict/1763375157
2025-12-04T08:27:07.0036479Z  * [new tag]                 viable/strict/1763382462    -> viable/strict/1763382462
2025-12-04T08:27:07.0037530Z  * [new tag]                 viable/strict/1763394661    -> viable/strict/1763394661
2025-12-04T08:27:07.0038723Z  * [new tag]                 viable/strict/1763396797    -> viable/strict/1763396797
2025-12-04T08:27:07.0039716Z  * [new tag]                 viable/strict/1763398542    -> viable/strict/1763398542
2025-12-04T08:27:07.0040792Z  * [new tag]                 viable/strict/1763401807    -> viable/strict/1763401807
2025-12-04T08:27:07.0041566Z  * [new tag]                 viable/strict/1763414698    -> viable/strict/1763414698
2025-12-04T08:27:07.0042690Z  * [new tag]                 viable/strict/1763419807    -> viable/strict/1763419807
2025-12-04T08:27:07.0043731Z  * [new tag]                 viable/strict/1763426369    -> viable/strict/1763426369
2025-12-04T08:27:07.0044733Z  * [new tag]                 viable/strict/1763428331    -> viable/strict/1763428331
2025-12-04T08:27:07.0045827Z  * [new tag]                 viable/strict/1763430922    -> viable/strict/1763430922
2025-12-04T08:27:07.0046719Z  * [new tag]                 viable/strict/1763434184    -> viable/strict/1763434184
2025-12-04T08:27:07.0048003Z  * [new tag]                 viable/strict/1763439973    -> viable/strict/1763439973
2025-12-04T08:27:07.0049040Z  * [new tag]                 viable/strict/1763444995    -> viable/strict/1763444995
2025-12-04T08:27:07.0050024Z  * [new tag]                 viable/strict/1763447206    -> viable/strict/1763447206
2025-12-04T08:27:07.0051081Z  * [new tag]                 viable/strict/1763448826    -> viable/strict/1763448826
2025-12-04T08:27:07.0052113Z  * [new tag]                 viable/strict/1763450717    -> viable/strict/1763450717
2025-12-04T08:27:07.0053156Z  * [new tag]                 viable/strict/1763452183    -> viable/strict/1763452183
2025-12-04T08:27:07.0054280Z  * [new tag]                 viable/strict/1763457945    -> viable/strict/1763457945
2025-12-04T08:27:07.0055072Z  * [new tag]                 viable/strict/1763459439    -> viable/strict/1763459439
2025-12-04T08:27:07.0056099Z  * [new tag]                 viable/strict/1763461556    -> viable/strict/1763461556
2025-12-04T08:27:07.0057086Z  * [new tag]                 viable/strict/1763463103    -> viable/strict/1763463103
2025-12-04T08:27:07.0058160Z  * [new tag]                 viable/strict/1763465100    -> viable/strict/1763465100
2025-12-04T08:27:07.0058905Z  * [new tag]                 viable/strict/1763468866    -> viable/strict/1763468866
2025-12-04T08:27:07.0059874Z  * [new tag]                 viable/strict/1763493823    -> viable/strict/1763493823
2025-12-04T08:27:07.0060625Z  * [new tag]                 viable/strict/1763496249    -> viable/strict/1763496249
2025-12-04T08:27:07.0061755Z  * [new tag]                 viable/strict/1763502620    -> viable/strict/1763502620
2025-12-04T08:27:07.0062822Z  * [new tag]                 viable/strict/1763504715    -> viable/strict/1763504715
2025-12-04T08:27:07.0063811Z  * [new tag]                 viable/strict/1763506208    -> viable/strict/1763506208
2025-12-04T08:27:07.0064826Z  * [new tag]                 viable/strict/1763520590    -> viable/strict/1763520590
2025-12-04T08:27:07.0065869Z  * [new tag]                 viable/strict/1763523357    -> viable/strict/1763523357
2025-12-04T08:27:07.0067072Z  * [new tag]                 viable/strict/1763529922    -> viable/strict/1763529922
2025-12-04T08:27:07.0068385Z  * [new tag]                 viable/strict/1763531408    -> viable/strict/1763531408
2025-12-04T08:27:07.0069409Z  * [new tag]                 viable/strict/1763533622    -> viable/strict/1763533622
2025-12-04T08:27:07.0070435Z  * [new tag]                 viable/strict/1763538576    -> viable/strict/1763538576
2025-12-04T08:27:07.0071550Z  * [new tag]                 viable/strict/1763545823    -> viable/strict/1763545823
2025-12-04T08:27:07.0072325Z  * [new tag]                 viable/strict/1763547951    -> viable/strict/1763547951
2025-12-04T08:27:07.0073457Z  * [new tag]                 viable/strict/1763551477    -> viable/strict/1763551477
2025-12-04T08:27:07.0074490Z  * [new tag]                 viable/strict/1763552982    -> viable/strict/1763552982
2025-12-04T08:27:07.0075468Z  * [new tag]                 viable/strict/1763594698    -> viable/strict/1763594698
2025-12-04T08:27:07.0076364Z  * [new tag]                 viable/strict/1763596178    -> viable/strict/1763596178
2025-12-04T08:27:07.0077479Z  * [new tag]                 viable/strict/1763599155    -> viable/strict/1763599155
2025-12-04T08:27:07.0078457Z  * [new tag]                 viable/strict/1763603717    -> viable/strict/1763603717
2025-12-04T08:27:07.0079590Z  * [new tag]                 viable/strict/1763606923    -> viable/strict/1763606923
2025-12-04T08:27:07.0080577Z  * [new tag]                 viable/strict/1763609715    -> viable/strict/1763609715
2025-12-04T08:27:07.0081557Z  * [new tag]                 viable/strict/1763612757    -> viable/strict/1763612757
2025-12-04T08:27:07.0082596Z  * [new tag]                 viable/strict/1763616325    -> viable/strict/1763616325
2025-12-04T08:27:07.0083942Z  * [new tag]                 viable/strict/1763623509    -> viable/strict/1763623509
2025-12-04T08:27:07.0085095Z  * [new tag]                 viable/strict/1763624984    -> viable/strict/1763624984
2025-12-04T08:27:07.0086074Z  * [new tag]                 viable/strict/1763628796    -> viable/strict/1763628796
2025-12-04T08:27:07.0087062Z  * [new tag]                 viable/strict/1763634343    -> viable/strict/1763634343
2025-12-04T08:27:07.0087972Z  * [new tag]                 viable/strict/1763635867    -> viable/strict/1763635867
2025-12-04T08:27:07.0089151Z  * [new tag]                 viable/strict/1763639382    -> viable/strict/1763639382
2025-12-04T08:27:07.0090149Z  * [new tag]                 viable/strict/1763646626    -> viable/strict/1763646626
2025-12-04T08:27:07.0091355Z  * [new tag]                 viable/strict/1763655997    -> viable/strict/1763655997
2025-12-04T08:27:07.0092327Z  * [new tag]                 viable/strict/1763659444    -> viable/strict/1763659444
2025-12-04T08:27:07.0093286Z  * [new tag]                 viable/strict/1763660992    -> viable/strict/1763660992
2025-12-04T08:27:07.0094257Z  * [new tag]                 viable/strict/1763663201    -> viable/strict/1763663201
2025-12-04T08:27:07.0095294Z  * [new tag]                 viable/strict/1763670362    -> viable/strict/1763670362
2025-12-04T08:27:07.0096046Z  * [new tag]                 viable/strict/1763675378    -> viable/strict/1763675378
2025-12-04T08:27:07.0097147Z  * [new tag]                 viable/strict/1763693343    -> viable/strict/1763693343
2025-12-04T08:27:07.0098129Z  * [new tag]                 viable/strict/1763696088    -> viable/strict/1763696088
2025-12-04T08:27:07.0099256Z  * [new tag]                 viable/strict/1763697343    -> viable/strict/1763697343
2025-12-04T08:27:07.0100247Z  * [new tag]                 viable/strict/1763699165    -> viable/strict/1763699165
2025-12-04T08:27:07.0101355Z  * [new tag]                 viable/strict/1763700660    -> viable/strict/1763700660
2025-12-04T08:27:07.0102335Z  * [new tag]                 viable/strict/1763704209    -> viable/strict/1763704209
2025-12-04T08:27:07.0103331Z  * [new tag]                 viable/strict/1763706411    -> viable/strict/1763706411
2025-12-04T08:27:07.0104293Z  * [new tag]                 viable/strict/1763708082    -> viable/strict/1763708082
2025-12-04T08:27:07.0105092Z  * [new tag]                 viable/strict/1763711381    -> viable/strict/1763711381
2025-12-04T08:27:07.0106132Z  * [new tag]                 viable/strict/1763713593    -> viable/strict/1763713593
2025-12-04T08:27:07.0107250Z  * [new tag]                 viable/strict/1763715201    -> viable/strict/1763715201
2025-12-04T08:27:07.0108253Z  * [new tag]                 viable/strict/1763733017    -> viable/strict/1763733017
2025-12-04T08:27:07.0109258Z  * [new tag]                 viable/strict/1763735108    -> viable/strict/1763735108
2025-12-04T08:27:07.0110240Z  * [new tag]                 viable/strict/1763749579    -> viable/strict/1763749579
2025-12-04T08:27:07.0111280Z  * [new tag]                 viable/strict/1763751113    -> viable/strict/1763751113
2025-12-04T08:27:07.0112355Z  * [new tag]                 viable/strict/1763753035    -> viable/strict/1763753035
2025-12-04T08:27:07.0113200Z  * [new tag]                 viable/strict/1763754578    -> viable/strict/1763754578
2025-12-04T08:27:07.0114313Z  * [new tag]                 viable/strict/1763756748    -> viable/strict/1763756748
2025-12-04T08:27:07.0115306Z  * [new tag]                 viable/strict/1763758205    -> viable/strict/1763758205
2025-12-04T08:27:07.0116048Z  * [new tag]                 viable/strict/1763764050    -> viable/strict/1763764050
2025-12-04T08:27:07.0117153Z  * [new tag]                 viable/strict/1763771887    -> viable/strict/1763771887
2025-12-04T08:27:07.0118338Z  * [new tag]                 viable/strict/1763773920    -> viable/strict/1763773920
2025-12-04T08:27:07.0119297Z  * [new tag]                 viable/strict/1763776501    -> viable/strict/1763776501
2025-12-04T08:27:07.0120277Z  * [new tag]                 viable/strict/1763779437    -> viable/strict/1763779437
2025-12-04T08:27:07.0121486Z  * [new tag]                 viable/strict/1763781038    -> viable/strict/1763781038
2025-12-04T08:27:07.0122277Z  * [new tag]                 viable/strict/1763782245    -> viable/strict/1763782245
2025-12-04T08:27:07.0123374Z  * [new tag]                 viable/strict/1763785568    -> viable/strict/1763785568
2025-12-04T08:27:07.0124456Z  * [new tag]                 viable/strict/1763787006    -> viable/strict/1763787006
2025-12-04T08:27:07.0125514Z  * [new tag]                 viable/strict/1763789103    -> viable/strict/1763789103
2025-12-04T08:27:07.0126547Z  * [new tag]                 viable/strict/1763790578    -> viable/strict/1763790578
2025-12-04T08:27:07.0127576Z  * [new tag]                 viable/strict/1763796275    -> viable/strict/1763796275
2025-12-04T08:27:07.0128768Z  * [new tag]                 viable/strict/1763801465    -> viable/strict/1763801465
2025-12-04T08:27:07.0129710Z  * [new tag]                 viable/strict/1763803522    -> viable/strict/1763803522
2025-12-04T08:27:07.0130697Z  * [new tag]                 viable/strict/1763808581    -> viable/strict/1763808581
2025-12-04T08:27:07.0131633Z  * [new tag]                 viable/strict/1763840977    -> viable/strict/1763840977
2025-12-04T08:27:07.0132591Z  * [new tag]                 viable/strict/1763846659    -> viable/strict/1763846659
2025-12-04T08:27:07.0133694Z  * [new tag]                 viable/strict/1763872065    -> viable/strict/1763872065
2025-12-04T08:27:07.0134771Z  * [new tag]                 viable/strict/1763873648    -> viable/strict/1763873648
2025-12-04T08:27:07.0135739Z  * [new tag]                 viable/strict/1763875506    -> viable/strict/1763875506
2025-12-04T08:27:07.0136481Z  * [new tag]                 viable/strict/1763889904    -> viable/strict/1763889904
2025-12-04T08:27:07.0137580Z  * [new tag]                 viable/strict/1763930999    -> viable/strict/1763930999
2025-12-04T08:27:07.0138636Z  * [new tag]                 viable/strict/1763944964    -> viable/strict/1763944964
2025-12-04T08:27:07.0139376Z  * [new tag]                 viable/strict/1763958474    -> viable/strict/1763958474
2025-12-04T08:27:07.0140436Z  * [new tag]                 viable/strict/1763967263    -> viable/strict/1763967263
2025-12-04T08:27:07.0141420Z  * [new tag]                 viable/strict/1763972803    -> viable/strict/1763972803
2025-12-04T08:27:07.0142410Z  * [new tag]                 viable/strict/1763976376    -> viable/strict/1763976376
2025-12-04T08:27:07.0143372Z  * [new tag]                 viable/strict/1763989404    -> viable/strict/1763989404
2025-12-04T08:27:07.0144297Z  * [new tag]                 viable/strict/1763990887    -> viable/strict/1763990887
2025-12-04T08:27:07.0145300Z  * [new tag]                 viable/strict/1764019919    -> viable/strict/1764019919
2025-12-04T08:27:07.0146511Z  * [new tag]                 viable/strict/1764023134    -> viable/strict/1764023134
2025-12-04T08:27:07.0147465Z  * [new tag]                 viable/strict/1764024593    -> viable/strict/1764024593
2025-12-04T08:27:07.0148820Z  * [new tag]                 viable/strict/1764026706    -> viable/strict/1764026706
2025-12-04T08:27:07.0150094Z  * [new tag]                 viable/strict/1764031139    -> viable/strict/1764031139
2025-12-04T08:27:07.0151038Z  * [new tag]                 viable/strict/1764033131    -> viable/strict/1764033131
2025-12-04T08:27:07.0151795Z  * [new tag]                 viable/strict/1764035725    -> viable/strict/1764035725
2025-12-04T08:27:07.0152678Z  * [new tag]                 viable/strict/1764624265    -> viable/strict/1764624265
2025-12-04T08:27:07.0153441Z  * [new tag]                 viable/strict/1764631514    -> viable/strict/1764631514
2025-12-04T08:27:07.0154427Z  * [new tag]                 viable/strict/1764632987    -> viable/strict/1764632987
2025-12-04T08:27:07.0155135Z  * [new tag]                 viable/strict/1764636063    -> viable/strict/1764636063
2025-12-04T08:27:07.0156104Z  * [new tag]                 viable/strict/1764643975    -> viable/strict/1764643975
2025-12-04T08:27:07.0156852Z  * [new tag]                 viable/strict/1764646859    -> viable/strict/1764646859
2025-12-04T08:27:07.0157685Z  * [new tag]                 viable/strict/1764653120    -> viable/strict/1764653120
2025-12-04T08:27:07.0158489Z  * [new tag]                 viable/strict/1764654632    -> viable/strict/1764654632
2025-12-04T08:27:07.0159399Z  * [new tag]                 viable/strict/1764656821    -> viable/strict/1764656821
2025-12-04T08:27:07.0160130Z  * [new tag]                 viable/strict/1764658557    -> viable/strict/1764658557
2025-12-04T08:27:07.0161030Z  * [new tag]                 viable/strict/1764660333    -> viable/strict/1764660333
2025-12-04T08:27:07.0161876Z  * [new tag]                 viable/strict/1764661812    -> viable/strict/1764661812
2025-12-04T08:27:07.0162597Z  * [new tag]                 viable/strict/1764664023    -> viable/strict/1764664023
2025-12-04T08:27:07.0163640Z  * [new tag]                 viable/strict/1764669150    -> viable/strict/1764669150
2025-12-04T08:27:07.0164402Z  * [new tag]                 viable/strict/1764680709    -> viable/strict/1764680709
2025-12-04T08:27:07.0165328Z  * [new tag]                 viable/strict/1764687619    -> viable/strict/1764687619
2025-12-04T08:27:07.0166051Z  * [new tag]                 viable/strict/1764696355    -> viable/strict/1764696355
2025-12-04T08:27:07.0166952Z  * [new tag]                 viable/strict/1764701767    -> viable/strict/1764701767
2025-12-04T08:27:07.0167712Z  * [new tag]                 viable/strict/1764710768    -> viable/strict/1764710768
2025-12-04T08:27:07.0168514Z  * [new tag]                 viable/strict/1764716202    -> viable/strict/1764716202
2025-12-04T08:27:07.0169466Z  * [new tag]                 viable/strict/1764793566    -> viable/strict/1764793566
2025-12-04T08:27:07.0170152Z  * [new tag]                 viable/strict/1764797093    -> viable/strict/1764797093
2025-12-04T08:27:07.0171055Z  * [new tag]                 viable/strict/1764800729    -> viable/strict/1764800729
2025-12-04T08:27:07.0172615Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-12-04T08:27:07.0173593Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-12-04T08:27:07.0174823Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-12-04T08:27:07.0922585Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object}
2025-12-04T08:27:07.0948879Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:27:07.0966967Z ##[endgroup]
2025-12-04T08:27:07.0967370Z ##[group]Determining the checkout info
2025-12-04T08:27:07.0967649Z ##[endgroup]
2025-12-04T08:27:07.0967818Z [command]/usr/bin/git sparse-checkout disable
2025-12-04T08:27:07.0987620Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-12-04T08:27:07.1010769Z ##[group]Checking out the ref
2025-12-04T08:27:07.1013818Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:27:08.1280504Z Updating files:  80% (16266/20121)
2025-12-04T08:27:08.1564278Z Updating files:  81% (16299/20121)
2025-12-04T08:27:08.1772092Z Updating files:  82% (16500/20121)
2025-12-04T08:27:08.1918328Z Updating files:  83% (16701/20121)
2025-12-04T08:27:08.2053431Z Updating files:  84% (16902/20121)
2025-12-04T08:27:08.2210118Z Updating files:  85% (17103/20121)
2025-12-04T08:27:08.2364343Z Updating files:  86% (17305/20121)
2025-12-04T08:27:08.2500285Z Updating files:  87% (17506/20121)
2025-12-04T08:27:08.2610374Z Updating files:  88% (17707/20121)
2025-12-04T08:27:08.2743113Z Updating files:  89% (17908/20121)
2025-12-04T08:27:08.2913283Z Updating files:  90% (18109/20121)
2025-12-04T08:27:08.3027188Z Updating files:  91% (18311/20121)
2025-12-04T08:27:08.3179147Z Updating files:  92% (18512/20121)
2025-12-04T08:27:08.3360188Z Updating files:  93% (18713/20121)
2025-12-04T08:27:08.3558645Z Updating files:  94% (18914/20121)
2025-12-04T08:27:08.3727850Z Updating files:  95% (19115/20121)
2025-12-04T08:27:08.3882881Z Updating files:  96% (19317/20121)
2025-12-04T08:27:08.4044743Z Updating files:  97% (19518/20121)
2025-12-04T08:27:08.4329025Z Updating files:  98% (19719/20121)
2025-12-04T08:27:08.4501104Z Updating files:  99% (19920/20121)
2025-12-04T08:27:08.4501434Z Updating files: 100% (20121/20121)
2025-12-04T08:27:08.4501735Z Updating files: 100% (20121/20121), done.
2025-12-04T08:27:08.4775567Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'.
2025-12-04T08:27:08.4775886Z 
2025-12-04T08:27:08.4776117Z You are in 'detached HEAD' state. You can look around, make experimental
2025-12-04T08:27:08.4776923Z changes and commit them, and you can discard any commits you make in this
2025-12-04T08:27:08.4777491Z state without impacting any branches by switching back to a branch.
2025-12-04T08:27:08.4777837Z 
2025-12-04T08:27:08.4778046Z If you want to create a new branch to retain commits you create, you may
2025-12-04T08:27:08.4778574Z do so (now or later) by using -c with the switch command. Example:
2025-12-04T08:27:08.4778866Z 
2025-12-04T08:27:08.4778981Z   git switch -c <new-branch-name>
2025-12-04T08:27:08.4779213Z 
2025-12-04T08:27:08.4779321Z Or undo this operation with:
2025-12-04T08:27:08.4779515Z 
2025-12-04T08:27:08.4779605Z   git switch -
2025-12-04T08:27:08.4779736Z 
2025-12-04T08:27:08.4779984Z Turn off this advice by setting config variable advice.detachedHead to false
2025-12-04T08:27:08.4780336Z 
2025-12-04T08:27:08.4781690Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T08:27:08.4851676Z ##[endgroup]
2025-12-04T08:27:08.4852113Z ##[group]Setting up auth for fetching submodules
2025-12-04T08:27:08.4859250Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:27:08.4908418Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-12-04T08:27:08.4934569Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-12-04T08:27:08.4958926Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-12-04T08:27:08.4980981Z ##[endgroup]
2025-12-04T08:27:08.4981459Z ##[group]Fetching submodules
2025-12-04T08:27:08.4984654Z [command]/usr/bin/git submodule sync --recursive
2025-12-04T08:27:08.5293875Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-12-04T08:27:08.5600353Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-12-04T08:27:08.5601457Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-12-04T08:27:08.5603885Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-12-04T08:27:08.5606508Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-12-04T08:27:08.5609199Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-12-04T08:27:08.5612405Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-12-04T08:27:08.5615040Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-12-04T08:27:08.5617954Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-12-04T08:27:08.5621242Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-12-04T08:27:08.5624710Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-12-04T08:27:08.5628182Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-12-04T08:27:08.5631611Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-12-04T08:27:08.5635101Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-12-04T08:27:08.5638618Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-12-04T08:27:08.5642770Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-12-04T08:27:08.5647276Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-12-04T08:27:08.5652563Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-12-04T08:27:08.5656569Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-12-04T08:27:08.5660764Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:27:08.5664784Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-12-04T08:27:08.5669389Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-12-04T08:27:08.5673633Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-12-04T08:27:08.5678100Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-12-04T08:27:08.5682606Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-12-04T08:27:08.5687329Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-12-04T08:27:08.5692095Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-12-04T08:27:08.5696917Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-12-04T08:27:08.5701760Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-12-04T08:27:08.5707087Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-12-04T08:27:08.5712130Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-12-04T08:27:08.5717474Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-12-04T08:27:08.5722672Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-12-04T08:27:08.5728177Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-12-04T08:27:08.5735063Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-12-04T08:27:08.5740814Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-12-04T08:27:08.5746564Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-12-04T08:27:08.5752638Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-12-04T08:27:08.5784600Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-12-04T08:27:08.8076594Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-12-04T08:27:08.8078040Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-12-04T08:27:08.8079396Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-12-04T08:27:08.8103446Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-12-04T08:27:11.9630220Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-12-04T08:27:11.9631841Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-12-04T08:27:11.9633439Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-12-04T08:27:11.9634897Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-12-04T08:27:11.9636529Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-12-04T08:27:11.9637979Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-12-04T08:27:11.9639475Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-12-04T08:27:11.9640874Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-12-04T08:27:11.9642184Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-12-04T08:27:11.9643556Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-12-04T08:27:11.9644985Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-12-04T08:27:11.9646569Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-12-04T08:27:11.9647967Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-12-04T08:27:11.9649404Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-12-04T08:27:11.9650702Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-12-04T08:27:11.9683828Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-12-04T08:27:12.3964831Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-12-04T08:27:12.3966897Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-12-04T08:27:12.4266059Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-12-04T08:27:12.6447170Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-12-04T08:27:12.6812593Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-12-04T08:27:15.7023625Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-12-04T08:27:15.7025246Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-12-04T08:27:15.7026372Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-12-04T08:27:15.7027334Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-12-04T08:27:15.7028761Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-12-04T08:27:15.8025492Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-12-04T08:27:35.5323402Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-12-04T08:27:35.5324237Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-12-04T08:27:35.5325009Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-12-04T08:27:35.5325778Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-12-04T08:27:35.5326509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-12-04T08:27:35.5482975Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-12-04T08:27:35.5608298Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-12-04T08:27:35.5707670Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-12-04T08:27:35.5965142Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-12-04T08:27:35.6821065Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6'
2025-12-04T08:27:35.7404100Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-12-04T08:27:36.4965592Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-12-04T08:27:36.6890800Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-12-04T08:27:36.6911494Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:27:36.6937743Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-12-04T08:27:41.9206381Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-12-04T08:27:41.9453213Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-12-04T08:27:42.3054538Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:27:42.3575747Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-12-04T08:27:42.4566406Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc'
2025-12-04T08:27:42.5065899Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-12-04T08:27:43.1696185Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588'
2025-12-04T08:27:43.3289805Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-12-04T08:27:43.3312981Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-12-04T08:27:43.3315313Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:27:43.3318404Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:27:43.3321113Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-12-04T08:27:43.3324017Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-12-04T08:27:43.3327040Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:27:43.3330040Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-12-04T08:27:43.3359146Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-12-04T08:27:44.5866044Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-12-04T08:27:44.5867038Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-12-04T08:27:44.5867927Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-12-04T08:27:44.6867114Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-12-04T08:27:48.0303949Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-12-04T08:27:48.1304617Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-12-04T08:27:51.2484364Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-12-04T08:27:51.6111285Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:27:51.7130397Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-12-04T08:27:52.3623884Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-12-04T08:27:52.4102420Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:27:52.4224630Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-12-04T08:27:52.5261396Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-12-04T08:27:52.5978101Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-12-04T08:27:52.5998811Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:27:52.6001135Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:27:52.6028257Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-12-04T08:27:57.0339535Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-12-04T08:27:57.2834575Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-12-04T08:27:57.8569642Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-12-04T08:27:58.0020525Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-12-04T08:27:58.0327328Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f'
2025-12-04T08:27:58.0742097Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-12-04T08:27:58.1006521Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-12-04T08:27:58.1474226Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:27:58.1611462Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-12-04T08:27:58.1628493Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-12-04T08:27:58.1653358Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-12-04T08:28:13.0350700Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-12-04T08:28:13.0560793Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-12-04T08:28:13.1431038Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943'
2025-12-04T08:28:13.1450664Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:28:13.1453035Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:28:13.1455937Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:28:13.1483946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-12-04T08:28:14.2485641Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-12-04T08:28:14.6622861Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-12-04T08:28:14.7567934Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-12-04T08:28:14.7585892Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:28:14.7588703Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:28:14.7591450Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:28:14.7594479Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:28:14.7597340Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:28:14.7600577Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:28:14.7603777Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:28:14.7606936Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:28:14.7610416Z 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'
2025-12-04T08:28:14.7640387Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-12-04T08:28:16.6396602Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-12-04T08:28:16.6398017Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-12-04T08:28:16.6399537Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-12-04T08:28:16.6400759Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-12-04T08:28:16.6401906Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-12-04T08:28:16.6403118Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-12-04T08:28:16.6404301Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-12-04T08:28:16.7396966Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-12-04T08:28:22.3215239Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-12-04T08:28:22.3399518Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-12-04T08:28:22.3779601Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-12-04T08:28:22.3921711Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-12-04T08:28:22.3937531Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:28:22.3963325Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-12-04T08:28:22.6314523Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-12-04T08:28:22.6510650Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-12-04T08:28:22.6979511Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:28:22.8017612Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-12-04T08:28:22.8188719Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-12-04T08:28:22.8365291Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-12-04T08:28:22.8382379Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:28:22.8386848Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:28:22.8412403Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T08:28:25.0109101Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T08:28:25.2690049Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-12-04T08:28:25.3172811Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T08:28:25.3503965Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-12-04T08:28:25.3974447Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:28:25.4521286Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-12-04T08:28:25.4941900Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-12-04T08:28:25.5976924Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-12-04T08:28:26.0154709Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-12-04T08:28:26.0193039Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-12-04T08:28:26.0221414Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-12-04T08:28:26.8766090Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-12-04T08:28:26.9489899Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-12-04T08:28:26.9509161Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:28:26.9511310Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:28:26.9514105Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:28:26.9516960Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:28:26.9520325Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:28:26.9523232Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:28:26.9526356Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:28:26.9528935Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:28:26.9558107Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-12-04T08:28:27.3300075Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-12-04T08:28:27.3302295Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-12-04T08:28:27.3304334Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-12-04T08:28:27.3306355Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-12-04T08:28:27.4301193Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-12-04T08:28:28.0630666Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-12-04T08:28:34.7894022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-12-04T08:28:35.5240693Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-12-04T08:28:35.5653941Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-12-04T08:28:35.5824301Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-12-04T08:28:35.6873706Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-12-04T08:28:35.7017090Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-12-04T08:28:35.7169745Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-12-04T08:28:35.7330777Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-12-04T08:28:35.7347965Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:28:35.7351228Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:28:35.7376392Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T08:28:37.7711248Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T08:28:38.0272019Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-12-04T08:28:38.0751334Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T08:28:38.5581439Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-12-04T08:28:38.5705398Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-12-04T08:28:38.8470405Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-12-04T08:28:38.8493336Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:28:38.8496027Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-12-04T08:28:38.8523085Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-12-04T08:28:39.3431387Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-12-04T08:28:39.7754440Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-12-04T08:28:39.8484275Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-12-04T08:28:39.8582558Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-12-04T08:28:39.8711878Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-12-04T08:28:39.9149879Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-12-04T08:28:39.9447196Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-12-04T08:28:39.9887872Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-12-04T08:28:40.0165810Z Submodule path 'third_party/tensorpipe': checked out '2b4cd91092d335a697416b2a3cb398283246849d'
2025-12-04T08:28:40.0183762Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:28:40.0186191Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:28:40.0188987Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:28:40.0191740Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:28:40.0220093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-12-04T08:28:41.1237822Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-12-04T08:28:41.1238825Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-12-04T08:28:41.1651829Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-12-04T08:28:41.2234405Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-12-04T08:28:41.2396328Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-12-04T08:28:41.3153284Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-12-04T08:28:41.3449495Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-12-04T08:28:41.3465213Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:28:41.3491675Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-12-04T08:28:41.5086193Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-12-04T08:28:41.5121804Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-12-04T08:28:41.5420476Z Entering 'android/libs/fbjni'
2025-12-04T08:28:41.5463893Z Entering 'third_party/FP16'
2025-12-04T08:28:41.5507130Z Entering 'third_party/FXdiv'
2025-12-04T08:28:41.5548813Z Entering 'third_party/NNPACK'
2025-12-04T08:28:41.5591235Z Entering 'third_party/NVTX'
2025-12-04T08:28:41.5634146Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:28:41.5675984Z Entering 'third_party/XNNPACK'
2025-12-04T08:28:41.5735310Z Entering 'third_party/aiter'
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2025-12-04T08:28:41.8974719Z ##[endgroup]
2025-12-04T08:28:41.8975262Z ##[group]Persisting credentials for submodules
2025-12-04T08:28:41.8981308Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
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2025-12-04T08:28:42.1824357Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
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2025-12-04T08:28:42.2459631Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
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2025-12-04T08:28:42.2619773Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:28:42.2674447Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
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2025-12-04T08:28:42.2839639Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
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2025-12-04T08:28:42.2955049Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:28:42.3028702Z Entering 'third_party/pocketfft'
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2025-12-04T08:28:42.3196361Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:28:42.3252645Z Entering 'third_party/psimd'
2025-12-04T08:28:42.3308021Z Entering 'third_party/pthreadpool'
2025-12-04T08:28:42.3361728Z Entering 'third_party/pybind11'
2025-12-04T08:28:42.3415995Z Entering 'third_party/python-peachpy'
2025-12-04T08:28:42.3470976Z Entering 'third_party/sleef'
2025-12-04T08:28:42.3526688Z Entering 'third_party/tensorpipe'
2025-12-04T08:28:42.3581771Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:28:42.3636051Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:28:42.3689805Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:28:42.3745093Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:28:42.3798716Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:28:42.3872253Z [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"
2025-12-04T08:28:42.4174187Z Entering 'android/libs/fbjni'
2025-12-04T08:28:42.4225977Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-12-04T08:28:42.4241820Z Entering 'third_party/FP16'
2025-12-04T08:28:42.4294891Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-12-04T08:28:42.4310301Z Entering 'third_party/FXdiv'
2025-12-04T08:28:42.4363718Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-12-04T08:28:42.4378904Z Entering 'third_party/NNPACK'
2025-12-04T08:28:42.4429707Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-12-04T08:28:42.4445489Z Entering 'third_party/NVTX'
2025-12-04T08:28:42.4497495Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-12-04T08:28:42.4514066Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:28:42.4565050Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-12-04T08:28:42.4580563Z Entering 'third_party/XNNPACK'
2025-12-04T08:28:42.4632212Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-12-04T08:28:42.4663408Z Entering 'third_party/aiter'
2025-12-04T08:28:42.4713997Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-12-04T08:28:42.4730342Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:28:42.4782824Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-12-04T08:28:42.4808052Z Entering 'third_party/benchmark'
2025-12-04T08:28:42.4861137Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T08:28:42.4877409Z Entering 'third_party/composable_kernel'
2025-12-04T08:28:42.4929465Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-12-04T08:28:42.4954116Z Entering 'third_party/cpp-httplib'
2025-12-04T08:28:42.5004638Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-12-04T08:28:42.5020023Z Entering 'third_party/cpuinfo'
2025-12-04T08:28:42.5071095Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-12-04T08:28:42.5087568Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:28:42.5138999Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-12-04T08:28:42.5156927Z Entering 'third_party/cutlass'
2025-12-04T08:28:42.5207949Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-12-04T08:28:42.5235125Z Entering 'third_party/fbgemm'
2025-12-04T08:28:42.5288808Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-12-04T08:28:42.5307673Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:28:42.5360012Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-12-04T08:28:42.5376678Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:28:42.5428135Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-12-04T08:28:42.5452810Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:28:42.5503218Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-12-04T08:28:42.5519274Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:28:42.5570919Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-12-04T08:28:42.5596815Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:28:42.5647757Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-12-04T08:28:42.5662387Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:28:42.5712533Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-12-04T08:28:42.5728038Z Entering 'third_party/fbgemm/external/json'
2025-12-04T08:28:42.5778161Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
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2025-12-04T08:28:42.9627611Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
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2025-12-04T08:28:43.0311817Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-12-04T08:28:43.2545565Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:28:43.2591369Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:28:43.2632040Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:28:43.2675540Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:28:43.2721368Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:28:43.2762927Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:28:43.2805308Z Entering 'third_party/kleidiai'
2025-12-04T08:28:43.2851887Z Entering 'third_party/mimalloc'
2025-12-04T08:28:43.2894176Z Entering 'third_party/nlohmann'
2025-12-04T08:28:43.2939336Z Entering 'third_party/onnx'
2025-12-04T08:28:43.2999431Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:28:43.3043357Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:28:43.3088306Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:28:43.3128055Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:28:43.3170014Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:28:43.3211717Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:28:43.3254548Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:28:43.3295460Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:28:43.3336498Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:28:43.3376028Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:28:43.3417921Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:28:43.3462761Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:28:43.3525149Z Entering 'third_party/pocketfft'
2025-12-04T08:28:43.3568870Z Entering 'third_party/protobuf'
2025-12-04T08:28:43.3614255Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:28:43.3654981Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:28:43.3697607Z Entering 'third_party/psimd'
2025-12-04T08:28:43.3740070Z Entering 'third_party/pthreadpool'
2025-12-04T08:28:43.3781650Z Entering 'third_party/pybind11'
2025-12-04T08:28:43.3824562Z Entering 'third_party/python-peachpy'
2025-12-04T08:28:43.3867546Z Entering 'third_party/sleef'
2025-12-04T08:28:43.3909839Z Entering 'third_party/tensorpipe'
2025-12-04T08:28:43.3951979Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:28:43.3992710Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:28:43.4033724Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:28:43.4075909Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:28:43.4114924Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:28:43.4171381Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-12-04T08:28:43.4473533Z Entering 'android/libs/fbjni'
2025-12-04T08:28:43.4514948Z Entering 'third_party/FP16'
2025-12-04T08:28:43.4559867Z Entering 'third_party/FXdiv'
2025-12-04T08:28:43.4601020Z Entering 'third_party/NNPACK'
2025-12-04T08:28:43.4642746Z Entering 'third_party/NVTX'
2025-12-04T08:28:43.4685971Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:28:43.4727120Z Entering 'third_party/XNNPACK'
2025-12-04T08:28:43.4784557Z Entering 'third_party/aiter'
2025-12-04T08:28:43.4826227Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:28:43.4876325Z Entering 'third_party/benchmark'
2025-12-04T08:28:43.4918987Z Entering 'third_party/composable_kernel'
2025-12-04T08:28:43.4970268Z Entering 'third_party/cpp-httplib'
2025-12-04T08:28:43.5012152Z Entering 'third_party/cpuinfo'
2025-12-04T08:28:43.5054842Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:28:43.5097344Z Entering 'third_party/cutlass'
2025-12-04T08:28:43.5150704Z Entering 'third_party/fbgemm'
2025-12-04T08:28:43.5194714Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:28:43.5236317Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:28:43.5286410Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:28:43.5328591Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:28:43.5377677Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:28:43.5417990Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:28:43.5458373Z Entering 'third_party/fbgemm/external/json'
2025-12-04T08:28:43.5502038Z Entering 'third_party/flash-attention'
2025-12-04T08:28:43.5544882Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:28:43.5591188Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:28:43.5643710Z Entering 'third_party/flatbuffers'
2025-12-04T08:28:43.5691093Z Entering 'third_party/fmt'
2025-12-04T08:28:43.5732503Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:28:43.5775528Z Entering 'third_party/gloo'
2025-12-04T08:28:43.5819222Z Entering 'third_party/googletest'
2025-12-04T08:28:43.5861443Z Entering 'third_party/ideep'
2025-12-04T08:28:43.5902061Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T08:28:43.5951848Z Entering 'third_party/ittapi'
2025-12-04T08:28:43.5993698Z Entering 'third_party/kineto'
2025-12-04T08:28:43.6036402Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:28:43.6077539Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:28:43.6119040Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:28:43.6161753Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:28:43.6201923Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:28:43.6242434Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:28:43.6285239Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:28:43.6326978Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:28:43.6368159Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:28:43.6410512Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:28:43.6452116Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:28:43.6492471Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:28:43.6536289Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:28:43.6582046Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:28:43.6623445Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:28:43.6665971Z Entering 'third_party/kleidiai'
2025-12-04T08:28:43.6709413Z Entering 'third_party/mimalloc'
2025-12-04T08:28:43.6752080Z Entering 'third_party/nlohmann'
2025-12-04T08:28:43.6795007Z Entering 'third_party/onnx'
2025-12-04T08:28:43.6855799Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:28:43.6899422Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:28:43.6943145Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:28:43.6983596Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:28:43.7023855Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:28:43.7064378Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:28:43.7106787Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:28:43.7148352Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:28:43.7188055Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:28:43.7226592Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:28:43.7268853Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:28:43.7310731Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:28:43.7374053Z Entering 'third_party/pocketfft'
2025-12-04T08:28:43.7415511Z Entering 'third_party/protobuf'
2025-12-04T08:28:43.7459405Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:28:43.7500019Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:28:43.7542687Z Entering 'third_party/psimd'
2025-12-04T08:28:43.7583952Z Entering 'third_party/pthreadpool'
2025-12-04T08:28:43.7625173Z Entering 'third_party/pybind11'
2025-12-04T08:28:43.7671680Z Entering 'third_party/python-peachpy'
2025-12-04T08:28:43.7712324Z Entering 'third_party/sleef'
2025-12-04T08:28:43.7754905Z Entering 'third_party/tensorpipe'
2025-12-04T08:28:43.7795572Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:28:43.7835555Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:28:43.7876256Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:28:43.7916477Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:28:43.7955415Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:28:43.8009472Z ##[endgroup]
2025-12-04T08:28:43.8042087Z [command]/usr/bin/git log -1 --format=%H
2025-12-04T08:28:43.8063620Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:28:43.8158107Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-12-04T08:28:43.8158470Z cd "${GITHUB_WORKSPACE}"
2025-12-04T08:28:43.8158779Z # Clean stale submodule dirs
2025-12-04T08:28:43.8159105Z if [ -z "${NO_SUDO}" ]; then
2025-12-04T08:28:43.8159508Z   sudo git submodule foreach --recursive git clean -ffdx
2025-12-04T08:28:43.8159895Z else
2025-12-04T08:28:43.8160212Z   git submodule foreach --recursive git clean -ffdx
2025-12-04T08:28:43.8160598Z fi
2025-12-04T08:28:43.8169553Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:43.8169961Z env:
2025-12-04T08:28:43.8170197Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:43.8170459Z   NO_SUDO: true
2025-12-04T08:28:43.8170696Z ##[endgroup]
2025-12-04T08:28:43.8488266Z Entering 'android/libs/fbjni'
2025-12-04T08:28:43.8522098Z Entering 'third_party/FP16'
2025-12-04T08:28:43.8558585Z Entering 'third_party/FXdiv'
2025-12-04T08:28:43.8588522Z Entering 'third_party/NNPACK'
2025-12-04T08:28:43.8622625Z Entering 'third_party/NVTX'
2025-12-04T08:28:43.8661062Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:28:43.8693028Z Entering 'third_party/XNNPACK'
2025-12-04T08:28:43.8817651Z Entering 'third_party/aiter'
2025-12-04T08:28:43.8860129Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:28:43.8969813Z Entering 'third_party/benchmark'
2025-12-04T08:28:43.9003092Z Entering 'third_party/composable_kernel'
2025-12-04T08:28:43.9119503Z Entering 'third_party/cpp-httplib'
2025-12-04T08:28:43.9153198Z Entering 'third_party/cpuinfo'
2025-12-04T08:28:43.9187914Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:28:43.9223054Z Entering 'third_party/cutlass'
2025-12-04T08:28:43.9322477Z Entering 'third_party/fbgemm'
2025-12-04T08:28:43.9381252Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:28:43.9411437Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:28:43.9525382Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:28:43.9559316Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:28:43.9655663Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:28:43.9687093Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:28:43.9715252Z Entering 'third_party/fbgemm/external/json'
2025-12-04T08:28:43.9757734Z Entering 'third_party/flash-attention'
2025-12-04T08:28:43.9797927Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:28:43.9891565Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:28:43.9976385Z Entering 'third_party/flatbuffers'
2025-12-04T08:28:44.0045569Z Entering 'third_party/fmt'
2025-12-04T08:28:44.0078363Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:28:44.0110615Z Entering 'third_party/gloo'
2025-12-04T08:28:44.0143061Z Entering 'third_party/googletest'
2025-12-04T08:28:44.0177994Z Entering 'third_party/ideep'
2025-12-04T08:28:44.0207066Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T08:28:44.0292242Z Entering 'third_party/ittapi'
2025-12-04T08:28:44.0326361Z Entering 'third_party/kineto'
2025-12-04T08:28:44.0361078Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:28:44.0396591Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:28:44.0441222Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:28:44.0471821Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:28:44.0503188Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:28:44.0532233Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:28:44.0563352Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:28:44.0593769Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:28:44.0625503Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:28:44.0665137Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:28:44.0694524Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:28:44.0725061Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:28:44.0771334Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:28:44.0807932Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:28:44.0838800Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:28:44.0873658Z Entering 'third_party/kleidiai'
2025-12-04T08:28:44.0912721Z Entering 'third_party/mimalloc'
2025-12-04T08:28:44.0945365Z Entering 'third_party/nlohmann'
2025-12-04T08:28:44.0989044Z Entering 'third_party/onnx'
2025-12-04T08:28:44.1314829Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:28:44.1350947Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:28:44.1407512Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:28:44.1438554Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:28:44.1471424Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:28:44.1500395Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:28:44.1542158Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:28:44.1572974Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:28:44.1604469Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:28:44.1635387Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:28:44.1681622Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:28:44.1716332Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:28:44.1971877Z Entering 'third_party/pocketfft'
2025-12-04T08:28:44.2002990Z Entering 'third_party/protobuf'
2025-12-04T08:28:44.2079914Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:28:44.2109953Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:28:44.2144865Z Entering 'third_party/psimd'
2025-12-04T08:28:44.2175695Z Entering 'third_party/pthreadpool'
2025-12-04T08:28:44.2206885Z Entering 'third_party/pybind11'
2025-12-04T08:28:44.2241328Z Entering 'third_party/python-peachpy'
2025-12-04T08:28:44.2277889Z Entering 'third_party/sleef'
2025-12-04T08:28:44.2312610Z Entering 'third_party/tensorpipe'
2025-12-04T08:28:44.2345863Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:28:44.2377628Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:28:44.2406748Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:28:44.2441689Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:28:44.2471577Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:28:44.2637209Z Prepare all required actions
2025-12-04T08:28:44.2637800Z Getting action download info
2025-12-04T08:28:44.4136767Z ##[group]Run ./.github/actions/setup-linux
2025-12-04T08:28:44.4137085Z env:
2025-12-04T08:28:44.4137316Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:44.4137582Z ##[endgroup]
2025-12-04T08:28:44.4181558Z ##[group]Run set -euo pipefail
2025-12-04T08:28:44.4182079Z set -euo pipefail
2025-12-04T08:28:44.4182383Z function get_ec2_metadata() {
2025-12-04T08:28:44.4182773Z   # Pulled from instance metadata endpoint for EC2
2025-12-04T08:28:44.4183410Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-12-04T08:28:44.4183988Z   category=$1
2025-12-04T08:28:44.4184363Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-12-04T08:28:44.4184800Z   runner_name_str=i-0acbbf936d8273abe
2025-12-04T08:28:44.4185205Z   if [[ -f /.inarc ]]; then
2025-12-04T08:28:44.4185545Z     echo "ARC Runner, no info on ec2 metadata"
2025-12-04T08:28:44.4185944Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-12-04T08:28:44.4186421Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-12-04T08:28:44.4186992Z   else
2025-12-04T08:28:44.4187857Z     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}"
2025-12-04T08:28:44.4188798Z   fi
2025-12-04T08:28:44.4189021Z }
2025-12-04T08:28:44.4189293Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-12-04T08:28:44.4189715Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-12-04T08:28:44.4190206Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-12-04T08:28:44.4190639Z echo "system info $(uname -a)"
2025-12-04T08:28:44.4197279Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:44.4197671Z env:
2025-12-04T08:28:44.4197893Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:44.4198143Z ##[endgroup]
2025-12-04T08:28:44.4338261Z ami-id: ami-08982f1c5bf93d976
2025-12-04T08:28:44.4434673Z instance-id: i-0acbbf936d8273abe
2025-12-04T08:28:44.4543072Z instance-type: c5.4xlarge
2025-12-04T08:28:44.4553674Z system info Linux ip-10-0-32-189.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-12-04T08:28:44.4579100Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T08:28:44.4579604Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T08:28:44.4585530Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:44.4585909Z env:
2025-12-04T08:28:44.4586139Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:44.4586410Z ##[endgroup]
2025-12-04T08:28:44.4632325Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:28:44.4633285Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:28:44.4639027Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:44.4639419Z env:
2025-12-04T08:28:44.4639653Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:44.4639925Z ##[endgroup]
2025-12-04T08:28:44.4692001Z ##[group]Run if systemctl is-active --quiet docker; then
2025-12-04T08:28:44.4692450Z if systemctl is-active --quiet docker; then
2025-12-04T08:28:44.4692858Z     echo "Docker daemon is running...";
2025-12-04T08:28:44.4693200Z else
2025-12-04T08:28:44.4693554Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-12-04T08:28:44.4693995Z fi
2025-12-04T08:28:44.4699443Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:44.4699843Z env:
2025-12-04T08:28:44.4700077Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:44.4700337Z ##[endgroup]
2025-12-04T08:28:44.4828435Z Docker daemon is running...
2025-12-04T08:28:44.4871164Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T08:28:44.4871480Z with:
2025-12-04T08:28:44.4871674Z   shell: bash
2025-12-04T08:28:44.4871902Z   timeout_minutes: 5
2025-12-04T08:28:44.4872277Z   max_attempts: 3
2025-12-04T08:28:44.4872510Z   retry_wait_seconds: 30
2025-12-04T08:28:44.4874878Z   command: AWS_ACCOUNT_ID=$(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

2025-12-04T08:28:44.4877232Z   polling_interval_seconds: 1
2025-12-04T08:28:44.4877526Z   warning_on_retry: true
2025-12-04T08:28:44.4877798Z   continue_on_error: false
2025-12-04T08:28:44.4878043Z env:
2025-12-04T08:28:44.4878255Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:44.4878527Z   AWS_RETRY_MODE: standard
2025-12-04T08:28:44.4878781Z   AWS_MAX_ATTEMPTS: 5
2025-12-04T08:28:44.4879043Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:28:44.4879320Z ##[endgroup]
2025-12-04T08:28:45.6341155Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:28:45.6341792Z Configure a credential helper to remove this warning. See
2025-12-04T08:28:45.6342371Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:28:45.6342782Z 
2025-12-04T08:28:45.6342890Z Login Succeeded
2025-12-04T08:28:46.5719780Z Command completed after 1 attempt(s).
2025-12-04T08:28:46.5773208Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:28:46.5773739Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:28:46.5774216Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:28:46.5781298Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:46.5781701Z env:
2025-12-04T08:28:46.5781930Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:46.5782201Z ##[endgroup]
2025-12-04T08:28:46.5882426Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T08:28:46.5883002Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T08:28:46.5883447Z # shellcheck disable=SC2046
2025-12-04T08:28:46.5883801Z docker stop $(docker ps -q) || true
2025-12-04T08:28:46.5884163Z # Prune all of the docker images
2025-12-04T08:28:46.5884506Z docker system prune -af
2025-12-04T08:28:46.5890603Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:46.5890994Z env:
2025-12-04T08:28:46.5891209Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:46.5891485Z ##[endgroup]
2025-12-04T08:28:46.6348909Z "docker stop" requires at least 1 argument.
2025-12-04T08:28:46.6349321Z See 'docker stop --help'.
2025-12-04T08:28:46.6349498Z 
2025-12-04T08:28:46.6349714Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-12-04T08:28:46.6349988Z 
2025-12-04T08:28:46.6350099Z Stop one or more running containers
2025-12-04T08:28:46.6507608Z Total reclaimed space: 0B
2025-12-04T08:28:46.6693999Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-12-04T08:28:46.6694509Z with:
2025-12-04T08:28:46.6695281Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:46.6696150Z   use-custom-docker-registry: true
2025-12-04T08:28:46.6696479Z   docker-build-dir: .ci/docker
2025-12-04T08:28:46.6696786Z   docker-build-script: ./build.sh
2025-12-04T08:28:46.6697078Z   working-directory: .
2025-12-04T08:28:46.6697432Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:46.6697840Z   force-push: false
2025-12-04T08:28:46.6698059Z env:
2025-12-04T08:28:46.6698273Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:46.6698690Z ##[endgroup]
2025-12-04T08:28:46.6722643Z ##[group]Run set -ex
2025-12-04T08:28:46.6722953Z set -ex
2025-12-04T08:28:46.6723183Z 
2025-12-04T08:28:46.6723629Z # If the docker build directory or the build script doesn't exist, the action will
2025-12-04T08:28:46.6724313Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-12-04T08:28:46.6724894Z # job could then download the pre-built image as usual
2025-12-04T08:28:46.6725593Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-12-04T08:28:46.6726241Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-12-04T08:28:46.6726583Z else
2025-12-04T08:28:46.6726853Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:28:46.6727313Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:28:46.6727729Z 
2025-12-04T08:28:46.6728294Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-12-04T08:28:46.6728954Z   exit 0
2025-12-04T08:28:46.6729167Z fi
2025-12-04T08:28:46.6729381Z 
2025-12-04T08:28:46.6729725Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-12-04T08:28:46.6730346Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-12-04T08:28:46.6730877Z   # use it as it is, but first let's extract the tag
2025-12-04T08:28:46.6731367Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-12-04T08:28:46.6731887Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:28:46.6732368Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:28:46.6732789Z else
2025-12-04T08:28:46.6733082Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-12-04T08:28:46.6733464Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-12-04T08:28:46.6733874Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-12-04T08:28:46.6734229Z   fi
2025-12-04T08:28:46.6734677Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-12-04T08:28:46.6735307Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:28:46.6735966Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:28:46.6736692Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:28:46.6737118Z fi
2025-12-04T08:28:46.6743424Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:46.6743842Z env:
2025-12-04T08:28:46.6744059Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:46.6744367Z   REPO_NAME: pytorch
2025-12-04T08:28:46.6745357Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:46.6746521Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T08:28:46.6746870Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-12-04T08:28:46.6747264Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:46.6747685Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-12-04T08:28:46.6747979Z   CUSTOM_TAG_PREFIX: 
2025-12-04T08:28:46.6748228Z ##[endgroup]
2025-12-04T08:28:46.6772815Z + [[ -d .ci/docker ]]
2025-12-04T08:28:46.6773107Z + [[ -f .ci/docker/./build.sh ]]
2025-12-04T08:28:46.6773409Z + [[ true == \t\r\u\e ]]
2025-12-04T08:28:46.6773655Z + echo skip=false
2025-12-04T08:28:46.6774981Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\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* ]]
2025-12-04T08:28:46.6780849Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:46.6781715Z ++ awk -F '[:,]' '{print $2}'
2025-12-04T08:28:46.6880850Z + DOCKER_TAG=pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:46.6881707Z + echo docker-tag=pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:46.6882847Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:46.6909862Z ##[group]Run set +e
2025-12-04T08:28:46.6910183Z set +e
2025-12-04T08:28:46.6910410Z set -x
2025-12-04T08:28:46.6910643Z 
2025-12-04T08:28:46.6910868Z login() {
2025-12-04T08:28:46.6911359Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T08:28:46.6911907Z }
2025-12-04T08:28:46.6912129Z 
2025-12-04T08:28:46.6912337Z retry () {
2025-12-04T08:28:46.6912616Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T08:28:46.6912943Z }
2025-12-04T08:28:46.6913148Z 
2025-12-04T08:28:46.6913388Z retry login "${DOCKER_REGISTRY}"
2025-12-04T08:28:46.6913704Z 
2025-12-04T08:28:46.6913930Z START_TIME=$(date +%s)
2025-12-04T08:28:46.6914220Z # Wait up to 120 minutes
2025-12-04T08:28:46.6914596Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-12-04T08:28:46.6915104Z   # Check if image already exists, if it does then skip building it
2025-12-04T08:28:46.6915595Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-12-04T08:28:46.6915972Z     exit 0
2025-12-04T08:28:46.6916220Z   fi
2025-12-04T08:28:46.6916434Z 
2025-12-04T08:28:46.6916832Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-12-04T08:28:46.6917529Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-12-04T08:28:46.6918215Z   # latter, it will wait for the Docker images to become available before continuing
2025-12-04T08:28:46.6918745Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-12-04T08:28:46.6919159Z     # It's a Docker build job, let's build the image
2025-12-04T08:28:46.6919522Z     break
2025-12-04T08:28:46.6919767Z   else
2025-12-04T08:28:46.6920103Z     # It's a regular build job, wait for the image to become available
2025-12-04T08:28:46.6920532Z     sleep 300
2025-12-04T08:28:46.6920790Z   fi
2025-12-04T08:28:46.6921002Z done
2025-12-04T08:28:46.6921228Z 
2025-12-04T08:28:46.6921597Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-12-04T08:28:46.6922174Z # be empty.  The default action would be to continue rebuild the image
2025-12-04T08:28:46.6922857Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-12-04T08:28:46.6923339Z   # if we're on the base branch then use the parent commit
2025-12-04T08:28:46.6923759Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-12-04T08:28:46.6924077Z else
2025-12-04T08:28:46.6924418Z   # otherwise we're on a PR, so use the most recent base commit
2025-12-04T08:28:46.6924912Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-12-04T08:28:46.6925279Z fi
2025-12-04T08:28:46.6925501Z 
2025-12-04T08:28:46.6925743Z if [[ -z "${MERGE_BASE}" ]]; then
2025-12-04T08:28:46.6926108Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:28:46.6926436Z 
2025-12-04T08:28:46.6927003Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-12-04T08:28:46.6927576Z   exit 0
2025-12-04T08:28:46.6927800Z fi
2025-12-04T08:28:46.6928020Z 
2025-12-04T08:28:46.6928335Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-12-04T08:28:46.6929033Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-12-04T08:28:46.6929623Z   exit 1
2025-12-04T08:28:46.6929853Z fi
2025-12-04T08:28:46.6930071Z 
2025-12-04T08:28:46.6930427Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-12-04T08:28:46.6931102Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-12-04T08:28:46.6931705Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-12-04T08:28:46.6932405Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-12-04T08:28:46.6933180Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-12-04T08:28:46.6933649Z fi
2025-12-04T08:28:46.6933870Z 
2025-12-04T08:28:46.6934124Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:28:46.6939852Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:46.6940242Z env:
2025-12-04T08:28:46.6940472Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:46.6940747Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T08:28:46.6941110Z   BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:28:46.6942014Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:46.6943073Z   DOCKER_TAG: pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:46.6943735Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:46.6944136Z   DOCKER_PUSH: 
2025-12-04T08:28:46.6944377Z ##[endgroup]
2025-12-04T08:28:46.6968318Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:46.6968808Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:46.6971138Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:28:46.6972381Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:47.2246379Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:28:47.2247037Z Configure a credential helper to remove this warning. See
2025-12-04T08:28:47.2247669Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:28:47.2248256Z 
2025-12-04T08:28:47.2248360Z Login Succeeded
2025-12-04T08:28:47.2263665Z ++ date +%s
2025-12-04T08:28:47.2273328Z + START_TIME=1764836927
2025-12-04T08:28:47.2276455Z ++ date +%s
2025-12-04T08:28:47.2285390Z + [[ 1764829727 -lt 1764836927 ]]
2025-12-04T08:28:47.2286531Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
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2025-12-04T08:28:47.4760808Z 			"digest": "sha256:6f2f2987e05f7af5ef59258b3d86b62d793c0a8c29421805a09ae30c406d0648"
2025-12-04T08:28:47.4761286Z 		},
2025-12-04T08:28:47.4761478Z 		{
2025-12-04T08:28:47.4761804Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:28:47.4762210Z 			"size": 54145664,
2025-12-04T08:28:47.4762637Z 			"digest": "sha256:52a8f261ecc175c6229b882ed7f423fcdb42dc3b8eb9227c0b657e0295618e13"
2025-12-04T08:28:47.4763115Z 		},
2025-12-04T08:28:47.4763293Z 		{
2025-12-04T08:28:47.4763618Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:28:47.4764032Z 			"size": 32,
2025-12-04T08:28:47.4764426Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-12-04T08:28:47.4764905Z 		}
2025-12-04T08:28:47.4765096Z 	]
2025-12-04T08:28:47.4765273Z }
2025-12-04T08:28:47.4765485Z + exit 0
2025-12-04T08:28:47.4796541Z ##[group]Run set -eux
2025-12-04T08:28:47.4796831Z set -eux
2025-12-04T08:28:47.4797245Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-12-04T08:28:47.4798550Z 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
2025-12-04T08:28:47.4805627Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:47.4806019Z env:
2025-12-04T08:28:47.4806226Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:47.4806495Z ##[endgroup]
2025-12-04T08:28:47.4833986Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-12-04T08:28:47.4834665Z + jq --raw-output .SecretString
2025-12-04T08:28:47.4836020Z + jq -r .docker_hub_readonly_token
2025-12-04T08:28:47.4837310Z + docker login --username pytorchbot --password-stdin
2025-12-04T08:28:48.0453197Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:28:48.0453837Z Configure a credential helper to remove this warning. See
2025-12-04T08:28:48.0454411Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:28:48.0455075Z 
2025-12-04T08:28:48.0455177Z Login Succeeded
2025-12-04T08:28:48.0551524Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T08:28:48.0551915Z tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T08:28:48.0552326Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-12-04T08:28:48.0558608Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:48.0558982Z env:
2025-12-04T08:28:48.0559210Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:48.0560018Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:48.0560839Z ##[endgroup]
2025-12-04T08:28:48.0586812Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:48.0640844Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-12-04T08:28:48.0641292Z with:
2025-12-04T08:28:48.0642028Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:48.0642964Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:48.0643362Z env:
2025-12-04T08:28:48.0643565Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:48.0643836Z ##[endgroup]
2025-12-04T08:28:48.0668444Z ##[group]Run set -x
2025-12-04T08:28:48.0668720Z set -x
2025-12-04T08:28:48.0668938Z set +e
2025-12-04T08:28:48.0669165Z 
2025-12-04T08:28:48.0669384Z login() {
2025-12-04T08:28:48.0669858Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T08:28:48.0670389Z }
2025-12-04T08:28:48.0670601Z 
2025-12-04T08:28:48.0670858Z retry () {
2025-12-04T08:28:48.0671125Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T08:28:48.0671460Z }
2025-12-04T08:28:48.0671678Z 
2025-12-04T08:28:48.0671918Z retry login "${DOCKER_REGISTRY}"
2025-12-04T08:28:48.0672215Z 
2025-12-04T08:28:48.0672705Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-12-04T08:28:48.0673380Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-12-04T08:28:48.0673747Z 
2025-12-04T08:28:48.0673962Z set -e
2025-12-04T08:28:48.0674307Z # ignore output since only exit code is used for conditional
2025-12-04T08:28:48.0674806Z # only pull docker image if it's not available locally
2025-12-04T08:28:48.0675349Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-12-04T08:28:48.0675867Z   retry docker pull "${DOCKER_IMAGE}"
2025-12-04T08:28:48.0676194Z fi
2025-12-04T08:28:48.0681804Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:28:48.0682208Z env:
2025-12-04T08:28:48.0682429Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:28:48.0683204Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:48.0684130Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:48.0684522Z ##[endgroup]
2025-12-04T08:28:48.0706569Z + set +e
2025-12-04T08:28:48.0706998Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:48.0707435Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:48.0710066Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:28:48.0711422Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:28:48.5990650Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:28:48.5991305Z Configure a credential helper to remove this warning. See
2025-12-04T08:28:48.5992315Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:28:48.5992729Z 
2025-12-04T08:28:48.5992828Z Login Succeeded
2025-12-04T08:28:48.6010263Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:48.6011210Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-12-04T08:28:48.7954263Z + IMAGE_SIZE=4346.579107284546
2025-12-04T08:28:48.7954894Z Compressed size of image in MB: 4346.579107284546
2025-12-04T08:28:48.7955577Z + echo 'Compressed size of image in MB: 4346.579107284546'
2025-12-04T08:28:48.7956252Z + set -e
2025-12-04T08:28:48.7957414Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:48.8091562Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:48.8093001Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:28:49.0370887Z pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image
2025-12-04T08:28:49.0371844Z 63e5bc7682b8: Pulling fs layer
2025-12-04T08:28:49.0372298Z d7732e4f533e: Pulling fs layer
2025-12-04T08:28:49.0372772Z 6d76d46163f9: Pulling fs layer
2025-12-04T08:28:49.0373258Z 19e82287cc31: Pulling fs layer
2025-12-04T08:28:49.0373714Z 852c31a1f5de: Pulling fs layer
2025-12-04T08:28:49.0374194Z 7a5ef3f39ece: Pulling fs layer
2025-12-04T08:28:49.0374661Z 5b33d83a6793: Pulling fs layer
2025-12-04T08:28:49.0374964Z 5a3431215643: Pulling fs layer
2025-12-04T08:28:49.0375253Z 234cd9d18c98: Pulling fs layer
2025-12-04T08:28:49.0375544Z 2cfbe34dd01a: Pulling fs layer
2025-12-04T08:28:49.0375837Z 450bb83ff360: Pulling fs layer
2025-12-04T08:28:49.0376106Z af59f86639cd: Pulling fs layer
2025-12-04T08:28:49.0376392Z 0fa897a49fab: Pulling fs layer
2025-12-04T08:28:49.0376679Z fcdc2c1d7421: Pulling fs layer
2025-12-04T08:28:49.0377009Z 4f4fb700ef54: Pulling fs layer
2025-12-04T08:28:49.0377530Z fe6dfc1a05e1: Pulling fs layer
2025-12-04T08:28:49.0377977Z 95bfeb706c37: Pulling fs layer
2025-12-04T08:28:49.0378454Z 7a5ef3f39ece: Waiting
2025-12-04T08:28:49.0378724Z a8da7b63746a: Pulling fs layer
2025-12-04T08:28:49.0379049Z 5b33d83a6793: Waiting
2025-12-04T08:28:49.0379418Z 2331b2ca31ab: Pulling fs layer
2025-12-04T08:28:49.0379692Z 6941965a4423: Pulling fs layer
2025-12-04T08:28:49.0380099Z 6b9b6e9eeb32: Pulling fs layer
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2025-12-04T08:28:49.0380952Z df36980ea84b: Pulling fs layer
2025-12-04T08:28:49.0381235Z c44ce13a2845: Pulling fs layer
2025-12-04T08:28:49.0381500Z 5a3431215643: Waiting
2025-12-04T08:28:49.0381740Z 19e82287cc31: Waiting
2025-12-04T08:28:49.0381980Z 234cd9d18c98: Waiting
2025-12-04T08:28:49.0382220Z 2c4c6714dbd1: Pulling fs layer
2025-12-04T08:28:49.0382497Z 2cfbe34dd01a: Waiting
2025-12-04T08:28:49.0382752Z 8207228fcdf1: Pulling fs layer
2025-12-04T08:28:49.0383020Z 139b745a81e3: Pulling fs layer
2025-12-04T08:28:49.0383294Z a8da7b63746a: Waiting
2025-12-04T08:28:49.0383537Z 450bb83ff360: Waiting
2025-12-04T08:28:49.0383791Z ba4481f5578c: Pulling fs layer
2025-12-04T08:28:49.0384051Z 6b9b6e9eeb32: Waiting
2025-12-04T08:28:49.0384303Z 203dba8ae10a: Pulling fs layer
2025-12-04T08:28:49.0384577Z 852c31a1f5de: Waiting
2025-12-04T08:28:49.0384803Z 8af7417fa12e: Waiting
2025-12-04T08:28:49.0397786Z f41aa33686f2: Pulling fs layer
2025-12-04T08:28:49.0398220Z 4f4fb700ef54: Waiting
2025-12-04T08:28:49.0398460Z a03109654b6e: Waiting
2025-12-04T08:28:49.0398743Z deddacf20e34: Pulling fs layer
2025-12-04T08:28:49.0399035Z 2c4c6714dbd1: Waiting
2025-12-04T08:28:49.0399493Z f79064513f3e: Pulling fs layer
2025-12-04T08:28:49.0399845Z fe6dfc1a05e1: Waiting
2025-12-04T08:28:49.0400094Z 95bfeb706c37: Waiting
2025-12-04T08:28:49.0400415Z df36980ea84b: Waiting
2025-12-04T08:28:49.0400724Z c07a02d0d80b: Pulling fs layer
2025-12-04T08:28:49.0401040Z ed5b2189cf6c: Pulling fs layer
2025-12-04T08:28:49.0401329Z 2331b2ca31ab: Waiting
2025-12-04T08:28:49.0401707Z f41aa33686f2: Waiting
2025-12-04T08:28:49.0402090Z 8207228fcdf1: Waiting
2025-12-04T08:28:49.0402453Z deddacf20e34: Waiting
2025-12-04T08:28:49.0402841Z 0fa897a49fab: Waiting
2025-12-04T08:28:49.0403226Z f79064513f3e: Waiting
2025-12-04T08:28:49.0403597Z 139b745a81e3: Waiting
2025-12-04T08:28:49.0403998Z 203dba8ae10a: Waiting
2025-12-04T08:28:49.0404387Z ba4481f5578c: Waiting
2025-12-04T08:28:49.0404788Z 9cd2d3b0d1e2: Pulling fs layer
2025-12-04T08:28:49.0405247Z ed5b2189cf6c: Waiting
2025-12-04T08:28:49.0405857Z 3a2a672930d7: Pulling fs layer
2025-12-04T08:28:49.0406361Z 9cd2d3b0d1e2: Waiting
2025-12-04T08:28:49.0406776Z 170033e2e274: Pulling fs layer
2025-12-04T08:28:49.0407234Z 3a2a672930d7: Waiting
2025-12-04T08:28:49.0407631Z af59f86639cd: Waiting
2025-12-04T08:28:49.0408005Z 6941965a4423: Waiting
2025-12-04T08:28:49.0408389Z c07a02d0d80b: Waiting
2025-12-04T08:28:49.0408799Z 2f0d2adf918f: Pulling fs layer
2025-12-04T08:28:49.0409255Z 170033e2e274: Waiting
2025-12-04T08:28:49.0409667Z db69eeaa71a7: Pulling fs layer
2025-12-04T08:28:49.0410124Z c44ce13a2845: Waiting
2025-12-04T08:28:49.0410510Z 8a38b1604420: Pulling fs layer
2025-12-04T08:28:49.0410798Z db69eeaa71a7: Waiting
2025-12-04T08:28:49.0411043Z 2f0d2adf918f: Waiting
2025-12-04T08:28:49.0411296Z 31f20538df74: Pulling fs layer
2025-12-04T08:28:49.0411559Z fcdc2c1d7421: Waiting
2025-12-04T08:28:49.0411799Z 8a38b1604420: Waiting
2025-12-04T08:28:49.0412051Z 45c2db9c5094: Pulling fs layer
2025-12-04T08:28:49.0412312Z 31f20538df74: Waiting
2025-12-04T08:28:49.0412571Z 83fc83d4a71b: Pulling fs layer
2025-12-04T08:28:49.0412849Z 45c2db9c5094: Waiting
2025-12-04T08:28:49.0413083Z 83fc83d4a71b: Waiting
2025-12-04T08:28:49.0413340Z ed733351a4e9: Pulling fs layer
2025-12-04T08:28:49.0413617Z ed733351a4e9: Waiting
2025-12-04T08:28:49.0413859Z bbae6fe5c9bd: Pulling fs layer
2025-12-04T08:28:49.0414150Z e5bc3a7842c5: Pulling fs layer
2025-12-04T08:28:49.0414507Z bbae6fe5c9bd: Waiting
2025-12-04T08:28:49.0414906Z 28fdea47e6d4: Pulling fs layer
2025-12-04T08:28:49.0415372Z e5bc3a7842c5: Waiting
2025-12-04T08:28:49.0415766Z 28fdea47e6d4: Waiting
2025-12-04T08:28:49.0416177Z 3eaf1ac0ebe0: Pulling fs layer
2025-12-04T08:28:49.0416663Z 9b7d9abce1de: Pulling fs layer
2025-12-04T08:28:49.0417139Z 50a30c3af4ed: Pulling fs layer
2025-12-04T08:28:49.0417584Z 3eaf1ac0ebe0: Waiting
2025-12-04T08:28:49.0417986Z 427605be7328: Pulling fs layer
2025-12-04T08:28:49.0418423Z 2e78828d8450: Pulling fs layer
2025-12-04T08:28:49.0418702Z 9b7d9abce1de: Waiting
2025-12-04T08:28:49.0418940Z 50a30c3af4ed: Waiting
2025-12-04T08:28:49.0419180Z 427605be7328: Waiting
2025-12-04T08:28:49.0419446Z feb2fda8afcb: Pulling fs layer
2025-12-04T08:28:49.0419709Z 2e78828d8450: Waiting
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2025-12-04T08:28:49.0420773Z c39fc3292874: Waiting
2025-12-04T08:28:49.0421025Z 27d31f4a998f: Pulling fs layer
2025-12-04T08:28:49.0421289Z f5dd6d1bfec2: Waiting
2025-12-04T08:28:49.0421533Z 27d31f4a998f: Waiting
2025-12-04T08:28:49.0421789Z 3a9c9df47111: Pulling fs layer
2025-12-04T08:28:49.0422050Z 3a9c9df47111: Waiting
2025-12-04T08:28:49.0422301Z 49e58a7aff50: Pulling fs layer
2025-12-04T08:28:49.0422589Z d73cc70c8e38: Pulling fs layer
2025-12-04T08:28:49.0422859Z 72731a4e1744: Pulling fs layer
2025-12-04T08:28:49.0423130Z 49e58a7aff50: Waiting
2025-12-04T08:28:49.0423382Z 9bdfa50d4613: Pulling fs layer
2025-12-04T08:28:49.0423661Z d73cc70c8e38: Waiting
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2025-12-04T08:28:49.0424169Z 72731a4e1744: Waiting
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2025-12-04T08:28:49.0424859Z 9bdfa50d4613: Waiting
2025-12-04T08:28:49.0425101Z f92f61507c58: Waiting
2025-12-04T08:28:49.0425357Z b38f29d5c5a1: Pulling fs layer
2025-12-04T08:28:49.0425621Z f583bac55ad4: Waiting
2025-12-04T08:28:49.0425881Z 6f2f2987e05f: Pulling fs layer
2025-12-04T08:28:49.0426173Z 52a8f261ecc1: Pulling fs layer
2025-12-04T08:28:49.0426437Z 6f2f2987e05f: Waiting
2025-12-04T08:28:49.0426762Z 52a8f261ecc1: Waiting
2025-12-04T08:28:49.1420983Z d7732e4f533e: Verifying Checksum
2025-12-04T08:28:49.1421344Z d7732e4f533e: Download complete
2025-12-04T08:28:49.2387214Z 19e82287cc31: Verifying Checksum
2025-12-04T08:28:49.2387846Z 19e82287cc31: Download complete
2025-12-04T08:28:49.3921999Z 63e5bc7682b8: Download complete
2025-12-04T08:28:49.4553865Z 7a5ef3f39ece: Verifying Checksum
2025-12-04T08:28:49.4554509Z 7a5ef3f39ece: Download complete
2025-12-04T08:28:49.5388446Z 5b33d83a6793: Verifying Checksum
2025-12-04T08:28:49.5388870Z 5b33d83a6793: Download complete
2025-12-04T08:28:49.6254435Z 5a3431215643: Verifying Checksum
2025-12-04T08:28:49.6254968Z 5a3431215643: Download complete
2025-12-04T08:28:49.7272690Z 234cd9d18c98: Verifying Checksum
2025-12-04T08:28:49.7273127Z 234cd9d18c98: Download complete
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2025-12-04T08:30:31.7133897Z Digest: sha256:7e1c24debf12b78c62b7f0a71dfed065e57bf2457fa65b1cbaff63d50a90686e
2025-12-04T08:30:31.7588657Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:30:31.7738523Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:30:31.7781587Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:30:31.7782595Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:30:31.7790009Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:30:31.7790398Z env:
2025-12-04T08:30:31.7790606Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:30:31.7790875Z ##[endgroup]
2025-12-04T08:30:31.8000787Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-12-04T08:30:31.8001242Z with:
2025-12-04T08:30:31.8001455Z   driver-version: 580.82.07
2025-12-04T08:30:31.8001722Z env:
2025-12-04T08:30:31.8001941Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:30:31.8002196Z ##[endgroup]
2025-12-04T08:30:31.8043821Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:30:31.8044905Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:30:31.8051802Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:30:31.8052449Z env:
2025-12-04T08:30:31.8052804Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:30:31.8053063Z ##[endgroup]
2025-12-04T08:30:31.8126640Z ##[group]Run set -euo pipefail
2025-12-04T08:30:31.8126982Z set -euo pipefail
2025-12-04T08:30:31.8127315Z 
2025-12-04T08:30:31.8127520Z has_gpu=false
2025-12-04T08:30:31.8127779Z devices=""
2025-12-04T08:30:31.8128020Z 
2025-12-04T08:30:31.8128288Z if command -v nvidia-smi >/dev/null 2>&1; then
2025-12-04T08:30:31.8128753Z   if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T08:30:31.8129154Z     has_gpu=true
2025-12-04T08:30:31.8129458Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T08:30:31.8129771Z   fi
2025-12-04T08:30:31.8129991Z fi
2025-12-04T08:30:31.8130204Z 
2025-12-04T08:30:31.8130421Z if [ "$has_gpu" = false ]; then
2025-12-04T08:30:31.8130822Z   if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T08:30:31.8131229Z     has_gpu=true
2025-12-04T08:30:31.8131523Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T08:30:31.8131892Z   fi
2025-12-04T08:30:31.8132110Z fi
2025-12-04T08:30:31.8132311Z 
2025-12-04T08:30:31.8132625Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then
2025-12-04T08:30:31.8133148Z   if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T08:30:31.8133573Z     has_gpu=true
2025-12-04T08:30:31.8133856Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T08:30:31.8134179Z   fi
2025-12-04T08:30:31.8134395Z fi
2025-12-04T08:30:31.8134592Z 
2025-12-04T08:30:31.8134901Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT"
2025-12-04T08:30:31.8135478Z printf 'DETECTED_DEVICES<<EOF\n%s\nEOF\n' "$devices" >> "$GITHUB_OUTPUT"
2025-12-04T08:30:31.8141176Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:30:31.8141568Z env:
2025-12-04T08:30:31.8141787Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:30:31.8142038Z ##[endgroup]
2025-12-04T08:30:31.9578326Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T08:30:31.9578739Z if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T08:30:31.9579126Z   echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}"
2025-12-04T08:30:31.9579665Z   echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"
2025-12-04T08:30:31.9580144Z else
2025-12-04T08:30:31.9580421Z   echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}"
2025-12-04T08:30:31.9580775Z fi
2025-12-04T08:30:31.9587448Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:30:31.9587892Z env:
2025-12-04T08:30:31.9588120Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:30:31.9588403Z   HAS_NVIDIA: false
2025-12-04T08:30:31.9588628Z ##[endgroup]
2025-12-04T08:30:31.9672818Z Prepare all required actions
2025-12-04T08:30:31.9740040Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-12-04T08:30:31.9740403Z with:
2025-12-04T08:30:31.9741040Z   github-token: ***
2025-12-04T08:30:31.9741282Z env:
2025-12-04T08:30:31.9741489Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:30:31.9741769Z   HAS_NVIDIA_GPU: false
2025-12-04T08:30:31.9742028Z ##[endgroup]
2025-12-04T08:30:31.9795543Z ##[group]Run set -eux
2025-12-04T08:30:31.9795803Z set -eux
2025-12-04T08:30:31.9796252Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T08:30:31.9802056Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:30:31.9802446Z env:
2025-12-04T08:30:31.9802651Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:30:31.9802924Z   HAS_NVIDIA_GPU: false
2025-12-04T08:30:31.9803349Z   GITHUB_TOKEN: ***
2025-12-04T08:30:31.9803577Z ##[endgroup]
2025-12-04T08:30:31.9826783Z + python3 .github/scripts/get_workflow_job_id.py 19921726337 i-0acbbf936d8273abe
2025-12-04T08:30:34.2869260Z Setting output job-id=57113416392
2025-12-04T08:30:34.2870000Z Setting output job-name=linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T08:30:34.2997132Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T08:30:34.2997898Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T08:30:34.2998873Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-12-04T08:30:34.2999751Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:30:34.3005831Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:30:34.3006228Z env:
2025-12-04T08:30:34.3006445Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:30:34.3006729Z   HAS_NVIDIA_GPU: false
2025-12-04T08:30:34.3006992Z   JOB_ID: 57113416392
2025-12-04T08:30:34.3007404Z   JOB_NAME: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T08:30:34.3007885Z   WORKFLOW_NAME: pull
2025-12-04T08:30:34.3008192Z   WORKFLOW_RUN_ID: 19921726337
2025-12-04T08:30:34.3008479Z   MONITOR_LOG_INTERVAL: 5
2025-12-04T08:30:34.3008761Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-12-04T08:30:34.3009062Z ##[endgroup]
2025-12-04T08:30:34.5819877Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T08:30:34.9466122Z Collecting psutil==5.9.8
2025-12-04T08:30:34.9617285Z   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)
2025-12-04T08:30:35.0331403Z Collecting dataclasses_json==0.6.7
2025-12-04T08:30:35.0363260Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-12-04T08:30:35.0637301Z Collecting nvidia-ml-py==11.525.84
2025-12-04T08:30:35.0667778Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-12-04T08:30:35.1818286Z Collecting marshmallow<4.0.0,>=3.18.0
2025-12-04T08:30:35.1850355Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-12-04T08:30:35.2079158Z Collecting typing-inspect<1,>=0.4.0
2025-12-04T08:30:35.2111092Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-12-04T08:30:35.2654306Z Collecting packaging>=17.0
2025-12-04T08:30:35.2685336Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-12-04T08:30:35.3200458Z Collecting typing-extensions>=3.7.4
2025-12-04T08:30:35.3230369Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-12-04T08:30:35.3421621Z Collecting mypy-extensions>=0.3.0
2025-12-04T08:30:35.3450841Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-12-04T08:30:35.4361202Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-12-04T08:30:35.7162032Z 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
2025-12-04T08:30:35.9047396Z Prepare all required actions
2025-12-04T08:30:35.9047819Z Getting action download info
2025-12-04T08:30:36.0645748Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T08:30:36.3014258Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-12-04T08:30:36.5883960Z ##[group]Run ./.github/actions/download-build-artifacts
2025-12-04T08:30:36.5884321Z with:
2025-12-04T08:30:36.5884569Z   name: linux-jammy-py3.10-clang18-asan
2025-12-04T08:30:36.5884902Z   s3-bucket: gha-artifacts
2025-12-04T08:30:36.5885154Z env:
2025-12-04T08:30:36.5885376Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:30:36.5885653Z   HAS_NVIDIA_GPU: false
2025-12-04T08:30:36.5885892Z ##[endgroup]
2025-12-04T08:30:36.5919547Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T08:30:36.5919913Z with:
2025-12-04T08:30:36.5920160Z   name: linux-jammy-py3.10-clang18-asan
2025-12-04T08:30:36.5920547Z   s3-bucket: gha-artifacts
2025-12-04T08:30:36.5920805Z   region: us-east-1
2025-12-04T08:30:36.5921036Z env:
2025-12-04T08:30:36.5921257Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:30:36.5921513Z   HAS_NVIDIA_GPU: false
2025-12-04T08:30:36.5921766Z ##[endgroup]
2025-12-04T08:30:37.0767146Z (node:43983) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T08:30:37.0767652Z 
2025-12-04T08:30:37.0767862Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T08:30:37.0768407Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T08:30:37.3649964Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T08:30:37.3650667Z Found 1 objects with prefix pytorch/pytorch/19921726337/linux-jammy-py3.10-clang18-asan/
2025-12-04T08:30:37.3651413Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T08:31:06.3841958Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T08:31:06.3848601Z Artifact download has finished successfully
2025-12-04T08:31:06.4018024Z ##[group]Run unzip -o artifacts.zip
2025-12-04T08:31:06.4018368Z unzip -o artifacts.zip
2025-12-04T08:31:06.4025069Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:31:06.4025465Z env:
2025-12-04T08:31:06.4025676Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:06.4025964Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:06.4026225Z ##[endgroup]
2025-12-04T08:31:06.4233024Z Archive:  artifacts.zip
2025-12-04T08:31:06.4233733Z    creating: dist/
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2025-12-04T08:31:14.2745269Z   inflating: dist/.ninja_log         
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2025-12-04T08:31:50.8957947Z   inflating: build/bin/kernel_function_test  
2025-12-04T08:31:50.9692224Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-12-04T08:31:51.0270861Z   inflating: build/bin/kernel_lambda_test  
2025-12-04T08:31:51.0596838Z   inflating: build/bin/kernel_stackbased_test  
2025-12-04T08:31:51.1106183Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-12-04T08:31:51.1356005Z   inflating: build/bin/CppSignature_test  
2025-12-04T08:31:51.1659358Z   inflating: build/bin/backend_fallback_test  
2025-12-04T08:31:51.1902977Z   inflating: build/bin/op_allowlist_test  
2025-12-04T08:31:51.3663298Z   inflating: build/bin/op_registration_test  
2025-12-04T08:31:51.3997062Z   inflating: build/bin/inline_container_test  
2025-12-04T08:31:51.5386490Z   inflating: build/bin/test_lazy     
2025-12-04T08:31:52.3237874Z   inflating: build/bin/test_jit      
2025-12-04T08:31:52.3538687Z   inflating: build/bin/test_dist_autograd  
2025-12-04T08:31:52.3966841Z   inflating: build/bin/test_cpp_rpc  
2025-12-04T08:31:53.0903161Z   inflating: build/bin/test_api      
2025-12-04T08:31:53.0918346Z   inflating: build/bin/parallel_benchmark  
2025-12-04T08:31:53.0940844Z   inflating: build/bin/torch_shm_manager  
2025-12-04T08:31:53.0941408Z    creating: .additional_ci_files/
2025-12-04T08:31:53.1003897Z   inflating: .additional_ci_files/test-times.json  
2025-12-04T08:31:53.1234238Z   inflating: .additional_ci_files/test-class-times.json  
2025-12-04T08:31:53.1262995Z ##[group]Run rm artifacts.zip
2025-12-04T08:31:53.1263322Z rm artifacts.zip
2025-12-04T08:31:53.1270610Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:31:53.1271003Z env:
2025-12-04T08:31:53.1271228Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:53.1271489Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:53.1271742Z ##[endgroup]
2025-12-04T08:31:53.3147674Z ##[group]Run df -H
2025-12-04T08:31:53.3147936Z df -H
2025-12-04T08:31:53.3154131Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:31:53.3154523Z env:
2025-12-04T08:31:53.3154756Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:53.3155020Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:53.3155277Z ##[endgroup]
2025-12-04T08:31:53.3218549Z Filesystem        Size  Used Avail Use% Mounted on
2025-12-04T08:31:53.3218969Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-12-04T08:31:53.3219307Z tmpfs              17G     0   17G   0% /dev/shm
2025-12-04T08:31:53.3219654Z tmpfs             6.6G  521k  6.6G   1% /run
2025-12-04T08:31:53.3219999Z /dev/nvme0n1p1    161G   34G  128G  21% /
2025-12-04T08:31:53.3220349Z tmpfs              17G   13k   17G   1% /tmp
2025-12-04T08:31:53.3220924Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-12-04T08:31:53.3255329Z Prepare all required actions
2025-12-04T08:31:53.3256124Z Getting action download info
2025-12-04T08:31:53.5572311Z ##[group]Run ./.github/actions/download-td-artifacts
2025-12-04T08:31:53.5572679Z with:
2025-12-04T08:31:53.5572892Z env:
2025-12-04T08:31:53.5573096Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:53.5573374Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:53.5573626Z ##[endgroup]
2025-12-04T08:31:53.5675006Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T08:31:53.5675366Z with:
2025-12-04T08:31:53.5675574Z   name: td_results
2025-12-04T08:31:53.5675826Z   s3-bucket: gha-artifacts
2025-12-04T08:31:53.5676098Z   region: us-east-1
2025-12-04T08:31:53.5676319Z env:
2025-12-04T08:31:53.5676539Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:53.5676975Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:53.5677227Z ##[endgroup]
2025-12-04T08:31:54.2582085Z (node:44084) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T08:31:54.2582755Z 
2025-12-04T08:31:54.2582951Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T08:31:54.2583514Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T08:31:54.2584092Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T08:31:54.3609900Z Found 1 objects with prefix pytorch/pytorch/19921726337/td_results/
2025-12-04T08:31:54.3610577Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T08:31:54.4209720Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T08:31:54.4215013Z Artifact download has finished successfully
2025-12-04T08:31:54.4442134Z ##[group]Run mkdir -p .additional_ci_files
2025-12-04T08:31:54.4442521Z mkdir -p .additional_ci_files
2025-12-04T08:31:54.4442969Z mv td_results.json .additional_ci_files/td_results.json || true
2025-12-04T08:31:54.4450320Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:31:54.4450694Z env:
2025-12-04T08:31:54.4450917Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:54.4451190Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:54.4451428Z ##[endgroup]
2025-12-04T08:31:54.4721138Z ##[group]Run .github/scripts/parse_ref.py
2025-12-04T08:31:54.4721554Z .github/scripts/parse_ref.py
2025-12-04T08:31:54.4727427Z shell: /usr/bin/bash -e {0}
2025-12-04T08:31:54.4727714Z env:
2025-12-04T08:31:54.4727938Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:54.4728214Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:54.4728452Z ##[endgroup]
2025-12-04T08:31:54.5216529Z Setting output branch=main
2025-12-04T08:31:54.5385864Z Prepare all required actions
2025-12-04T08:31:54.5386269Z Getting action download info
2025-12-04T08:31:54.6752170Z ##[group]Run ./.github/actions/filter-test-configs
2025-12-04T08:31:54.6752539Z with:
2025-12-04T08:31:54.6752962Z   github-token: ***
2025-12-04T08:31:54.6755004Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.4xlarge"}]}
2025-12-04T08:31:54.6757308Z   job-name: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T08:31:54.6757767Z env:
2025-12-04T08:31:54.6758001Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:54.6758356Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:54.6758600Z ##[endgroup]
2025-12-04T08:31:54.7002995Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T08:31:54.7003308Z with:
2025-12-04T08:31:54.7003530Z   shell: bash
2025-12-04T08:31:54.7003766Z   timeout_minutes: 10
2025-12-04T08:31:54.7004024Z   max_attempts: 5
2025-12-04T08:31:54.7004257Z   retry_wait_seconds: 30
2025-12-04T08:31:54.7005071Z   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

2025-12-04T08:31:54.7005930Z   polling_interval_seconds: 1
2025-12-04T08:31:54.7006205Z   warning_on_retry: true
2025-12-04T08:31:54.7006475Z   continue_on_error: false
2025-12-04T08:31:54.7006743Z env:
2025-12-04T08:31:54.7006950Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:54.7007236Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:54.7007687Z   GITHUB_TOKEN: ***
2025-12-04T08:31:54.7008086Z ##[endgroup]
2025-12-04T08:31:54.8059044Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-12-04T08:31:55.1364742Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T08:31:55.2662785Z Collecting requests==2.27.1
2025-12-04T08:31:55.2825711Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-12-04T08:31:55.4790268Z Collecting pyyaml==6.0.2
2025-12-04T08:31:55.4853533Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-12-04T08:31:55.9409167Z Collecting charset-normalizer~=2.0.0
2025-12-04T08:31:55.9443978Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-12-04T08:31:56.0495863Z Collecting certifi>=2017.4.17
2025-12-04T08:31:56.0533284Z   Downloading certifi-2025.11.12-py3-none-any.whl (159 kB)
2025-12-04T08:31:56.0851457Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-12-04T08:31:56.0855710Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-12-04T08:31:56.1671561Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-12-04T08:31:56.4572178Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-12-04T08:31:56.7774650Z Command completed after 1 attempt(s).
2025-12-04T08:31:56.7941581Z ##[group]Run set -x
2025-12-04T08:31:56.7941860Z set -x
2025-12-04T08:31:56.7942101Z 
2025-12-04T08:31:56.7942486Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T08:31:56.7942991Z # in runner workspace
2025-12-04T08:31:56.7943390Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-12-04T08:31:56.7950940Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:31:56.7951336Z env:
2025-12-04T08:31:56.7951565Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:56.7951838Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:56.7952093Z ##[endgroup]
2025-12-04T08:31:56.7977344Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-12-04T08:31:56.8158850Z Setting output branch=main
2025-12-04T08:31:56.8342534Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T08:31:56.8342972Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T08:31:56.8343313Z echo "Job name: ${JOB_NAME}"
2025-12-04T08:31:56.8343622Z 
2025-12-04T08:31:56.8344014Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T08:31:56.8344495Z # in runner workspace
2025-12-04T08:31:56.8344942Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-12-04T08:31:56.8345456Z   --workflow "${GITHUB_WORKFLOW}" \
2025-12-04T08:31:56.8345805Z   --job-name "${JOB_NAME}" \
2025-12-04T08:31:56.8348258Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.4xlarge"}]}" \
2025-12-04T08:31:56.8350456Z   --selected-test-configs "" \
2025-12-04T08:31:56.8350795Z   --pr-number "${PR_NUMBER}" \
2025-12-04T08:31:56.8351125Z   --tag "${TAG}" \
2025-12-04T08:31:56.8351436Z   --event-name "${EVENT_NAME}" \
2025-12-04T08:31:56.8351761Z   --schedule "${SCHEDULE}" \
2025-12-04T08:31:56.8352256Z   --branch "${HEAD_BRANCH}"
2025-12-04T08:31:56.8358233Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:31:56.8358614Z env:
2025-12-04T08:31:56.8358844Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:56.8359121Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:56.8359682Z   GITHUB_TOKEN: ***
2025-12-04T08:31:56.8360081Z   JOB_NAME: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T08:31:56.8360557Z   PR_NUMBER: 
2025-12-04T08:31:56.8360781Z   TAG: 
2025-12-04T08:31:56.8360979Z   EVENT_NAME: push
2025-12-04T08:31:56.8361214Z   SCHEDULE: 
2025-12-04T08:31:56.8361438Z   HEAD_BRANCH: main
2025-12-04T08:31:56.8361661Z ##[endgroup]
2025-12-04T08:31:56.8386763Z Workflow: pull
2025-12-04T08:31:56.8387202Z Job name: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T08:31:57.0382155Z Setting output keep-going=True
2025-12-04T08:31:57.0382559Z Setting output ci-verbose-test-logs=False
2025-12-04T08:31:57.0382913Z Setting output ci-test-showlocals=False
2025-12-04T08:31:57.0383278Z Setting output ci-no-test-timeout=False
2025-12-04T08:31:57.0383616Z Setting output ci-no-td=False
2025-12-04T08:31:57.0383935Z Setting output ci-td-distributed=False
2025-12-04T08:31:57.0384254Z Setting output is-unstable=False
2025-12-04T08:31:57.0384567Z Setting output reenabled-issues=
2025-12-04T08:31:57.0387004Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.4xlarge"}]}
2025-12-04T08:31:57.0389227Z Setting output is-test-matrix-empty=False
2025-12-04T08:31:57.0590168Z ##[group]Run echo "Filtered matrix:"
2025-12-04T08:31:57.0590530Z echo "Filtered matrix:"
2025-12-04T08:31:57.0592626Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.4xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.4xlarge"}]}"
2025-12-04T08:31:57.0594725Z 
2025-12-04T08:31:57.0594947Z echo
2025-12-04T08:31:57.0595243Z echo "Is the current job unstable? False"
2025-12-04T08:31:57.0595578Z 
2025-12-04T08:31:57.0595796Z echo
2025-12-04T08:31:57.0596065Z echo "Is keep-going label set? True"
2025-12-04T08:31:57.0596404Z 
2025-12-04T08:31:57.0596602Z echo
2025-12-04T08:31:57.0596848Z echo "Reenabled issues? "
2025-12-04T08:31:57.0602825Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:31:57.0603203Z env:
2025-12-04T08:31:57.0603434Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:57.0603711Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:57.0603957Z ##[endgroup]
2025-12-04T08:31:57.0628375Z Filtered matrix:
2025-12-04T08:31:57.0630627Z {include: [{config: default, shard: 1, num_shards: 7, runner: linux.4xlarge}, {config: default, shard: 2, num_shards: 7, runner: linux.4xlarge}, {config: default, shard: 3, num_shards: 7, runner: linux.4xlarge}, {config: default, shard: 4, num_shards: 7, runner: linux.4xlarge}, {config: default, shard: 5, num_shards: 7, runner: linux.4xlarge}, {config: default, shard: 6, num_shards: 7, runner: linux.4xlarge}, {config: default, shard: 7, num_shards: 7, runner: linux.4xlarge}, {config: openreg, shard: 1, num_shards: 1, runner: linux.4xlarge}]}
2025-12-04T08:31:57.0632741Z 
2025-12-04T08:31:57.0632863Z Is the current job unstable? False
2025-12-04T08:31:57.0633084Z 
2025-12-04T08:31:57.0633192Z Is keep-going label set? True
2025-12-04T08:31:57.0633379Z 
2025-12-04T08:31:57.0633485Z Reenabled issues? 
2025-12-04T08:31:57.0768185Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T08:31:57.0768721Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T08:31:57.0774246Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:31:57.0774623Z env:
2025-12-04T08:31:57.0774853Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:57.0775131Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:57.0775374Z   JOB_TIMEOUT: 240
2025-12-04T08:31:57.0775612Z ##[endgroup]
2025-12-04T08:31:57.0856978Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:31:57.0857516Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:31:57.0857992Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:31:57.0863409Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:31:57.0863797Z env:
2025-12-04T08:31:57.0864024Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:57.0864301Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:57.0864539Z ##[endgroup]
2025-12-04T08:31:57.1021932Z ##[group]Run set -x
2025-12-04T08:31:57.1022273Z set -x
2025-12-04T08:31:57.1022509Z 
2025-12-04T08:31:57.1022767Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-12-04T08:31:57.1023156Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-12-04T08:31:57.1023564Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-12-04T08:31:57.1023935Z   TEST_COMMAND=.ci/onnx/test.sh
2025-12-04T08:31:57.1024248Z else
2025-12-04T08:31:57.1024508Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T08:31:57.1024826Z fi
2025-12-04T08:31:57.1025024Z 
2025-12-04T08:31:57.1025296Z # Leaving 1GB for the runner and other things
2025-12-04T08:31:57.1025897Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-12-04T08:31:57.1026878Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-12-04T08:31:57.1027612Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-12-04T08:31:57.1028161Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-12-04T08:31:57.1028593Z 
2025-12-04T08:31:57.1028851Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T08:31:57.1029213Z   SHM_OPTS=
2025-12-04T08:31:57.1029471Z   JENKINS_USER=
2025-12-04T08:31:57.1029823Z   # ensure that docker container cleanly exits in 12 hours
2025-12-04T08:31:57.1030317Z   # if for some reason cleanup action doesn't stop container
2025-12-04T08:31:57.1030732Z   # when job is cancelled
2025-12-04T08:31:57.1031054Z   DOCKER_SHELL_CMD="sleep 12h"
2025-12-04T08:31:57.1031383Z   USED_IMAGE="${DOCKER_IMAGE_S390X}"
2025-12-04T08:31:57.1031707Z else
2025-12-04T08:31:57.1031965Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-12-04T08:31:57.1032412Z   JENKINS_USER="--user jenkins"
2025-12-04T08:31:57.1032741Z   DOCKER_SHELL_CMD=
2025-12-04T08:31:57.1033041Z   USED_IMAGE="${DOCKER_IMAGE}"
2025-12-04T08:31:57.1033331Z fi
2025-12-04T08:31:57.1033549Z 
2025-12-04T08:31:57.1033898Z # detached container should get cleaned up by teardown_ec2_linux
2025-12-04T08:31:57.1034444Z # TODO: Stop building test binaries as part of the build phase
2025-12-04T08:31:57.1035194Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-12-04T08:31:57.1035746Z # shellcheck disable=SC2086,SC2090
2025-12-04T08:31:57.1036096Z container_name=$(docker run \
2025-12-04T08:31:57.1036405Z   ${GPU_FLAG:-} \
2025-12-04T08:31:57.1036716Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-12-04T08:31:57.1037069Z   -e BUILD_ENVIRONMENT \
2025-12-04T08:31:57.1037376Z   -e PR_NUMBER \
2025-12-04T08:31:57.1037649Z   -e GITHUB_ACTIONS \
2025-12-04T08:31:57.1037947Z   -e GITHUB_REPOSITORY \
2025-12-04T08:31:57.1038259Z   -e GITHUB_WORKFLOW \
2025-12-04T08:31:57.1038540Z   -e GITHUB_JOB \
2025-12-04T08:31:57.1038815Z   -e GITHUB_RUN_ID \
2025-12-04T08:31:57.1039100Z   -e GITHUB_RUN_NUMBER \
2025-12-04T08:31:57.1039396Z   -e GITHUB_RUN_ATTEMPT \
2025-12-04T08:31:57.1039699Z   -e JOB_ID \
2025-12-04T08:31:57.1039957Z   -e JOB_NAME \
2025-12-04T08:31:57.1040224Z   -e BASE_SHA \
2025-12-04T08:31:57.1040470Z   -e BRANCH \
2025-12-04T08:31:57.1040728Z   -e SHA1 \
2025-12-04T08:31:57.1040986Z   -e AWS_DEFAULT_REGION \
2025-12-04T08:31:57.1041274Z   -e IN_WHEEL_TEST \
2025-12-04T08:31:57.1041562Z   -e SHARD_NUMBER \
2025-12-04T08:31:57.1041844Z   -e TEST_CONFIG \
2025-12-04T08:31:57.1042115Z   -e NUM_TEST_SHARDS \
2025-12-04T08:31:57.1042579Z   -e REENABLED_ISSUES \
2025-12-04T08:31:57.1056451Z   -e CONTINUE_THROUGH_ERROR \
2025-12-04T08:31:57.1056804Z   -e VERBOSE_TEST_LOGS \
2025-12-04T08:31:57.1057094Z   -e TEST_SHOWLOCALS \
2025-12-04T08:31:57.1057383Z   -e NO_TEST_TIMEOUT \
2025-12-04T08:31:57.1057657Z   -e NO_TD \
2025-12-04T08:31:57.1057894Z   -e TD_DISTRIBUTED \
2025-12-04T08:31:57.1058183Z   -e PR_LABELS \
2025-12-04T08:31:57.1058476Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-12-04T08:31:57.1058802Z   -e SCCACHE_BUCKET \
2025-12-04T08:31:57.1059079Z   -e SCCACHE_REGION \
2025-12-04T08:31:57.1059350Z   -e XLA_CUDA \
2025-12-04T08:31:57.1059620Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-12-04T08:31:57.1059977Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-12-04T08:31:57.1060347Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-12-04T08:31:57.1060710Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-12-04T08:31:57.1061042Z   -e HUGGING_FACE_HUB_TOKEN \
2025-12-04T08:31:57.1061365Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-12-04T08:31:57.1061698Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-12-04T08:31:57.1062005Z   -e DASHBOARD_TAG \
2025-12-04T08:31:57.1062281Z   -e ARTIFACTS_FILE_SUFFIX \
2025-12-04T08:31:57.1062639Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-12-04T08:31:57.1063051Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-12-04T08:31:57.1063464Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-12-04T08:31:57.1063866Z   --security-opt seccomp=unconfined \
2025-12-04T08:31:57.1064220Z   --cap-add=SYS_PTRACE \
2025-12-04T08:31:57.1064507Z   --ipc=host \
2025-12-04T08:31:57.1064770Z   ${SHM_OPTS} \
2025-12-04T08:31:57.1065025Z   --tty \
2025-12-04T08:31:57.1065253Z   --detach \
2025-12-04T08:31:57.1065529Z   --name="${container_name}" \
2025-12-04T08:31:57.1065854Z   ${JENKINS_USER} \
2025-12-04T08:31:57.1066322Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-12-04T08:31:57.1066795Z   -w /var/lib/jenkins/workspace \
2025-12-04T08:31:57.1067130Z   "${USED_IMAGE}" \
2025-12-04T08:31:57.1067416Z   ${DOCKER_SHELL_CMD}
2025-12-04T08:31:57.1067676Z )
2025-12-04T08:31:57.1068178Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-12-04T08:31:57.1068603Z 
2025-12-04T08:31:57.1068864Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T08:31:57.1069469Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-12-04T08:31:57.1070015Z fi
2025-12-04T08:31:57.1070232Z 
2025-12-04T08:31:57.1070727Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-12-04T08:31:57.1076496Z shell: /usr/bin/bash -e {0}
2025-12-04T08:31:57.1076781Z env:
2025-12-04T08:31:57.1076990Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:31:57.1077265Z   HAS_NVIDIA_GPU: false
2025-12-04T08:31:57.1077592Z   BUILD_ENVIRONMENT: linux-jammy-py3.10-clang18-asan
2025-12-04T08:31:57.1077941Z   PR_NUMBER: 
2025-12-04T08:31:57.1078188Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-12-04T08:31:57.1078509Z   GITHUB_WORKFLOW: pull
2025-12-04T08:31:57.1078762Z   GITHUB_JOB: test
2025-12-04T08:31:57.1078989Z   GITHUB_RUN_ID: 19921726337
2025-12-04T08:31:57.1079267Z   GITHUB_RUN_NUMBER: 384157
2025-12-04T08:31:57.1079539Z   GITHUB_RUN_ATTEMPT: 1
2025-12-04T08:31:57.1079774Z   JOB_ID: 57113416392
2025-12-04T08:31:57.1080181Z   JOB_NAME: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T08:31:57.1080648Z   BRANCH: main
2025-12-04T08:31:57.1080903Z   SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:31:57.1081419Z   BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:31:57.1081779Z   TEST_CONFIG: default
2025-12-04T08:31:57.1082031Z   SHARD_NUMBER: 1
2025-12-04T08:31:57.1082249Z   NUM_TEST_SHARDS: 7
2025-12-04T08:31:57.1082489Z   EXTRA_FLAGS: 
2025-12-04T08:31:57.1082723Z   OP_BENCHMARK_TESTS: 
2025-12-04T08:31:57.1082959Z   REENABLED_ISSUES: 
2025-12-04T08:31:57.1083219Z   CONTINUE_THROUGH_ERROR: True
2025-12-04T08:31:57.1083508Z   VERBOSE_TEST_LOGS: False
2025-12-04T08:31:57.1083773Z   TEST_SHOWLOCALS: False
2025-12-04T08:31:57.1084037Z   NO_TEST_TIMEOUT: False
2025-12-04T08:31:57.1084291Z   NO_TD: False
2025-12-04T08:31:57.1084508Z   TD_DISTRIBUTED: False
2025-12-04T08:31:57.1084822Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-12-04T08:31:57.1085192Z   SCCACHE_REGION: us-east-1
2025-12-04T08:31:57.1085446Z   SHM_SIZE: 1g
2025-12-04T08:31:57.1086198Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:31:57.1087558Z   DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:31:57.1088393Z   XLA_CUDA: 
2025-12-04T08:31:57.1088740Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-12-04T08:31:57.1089209Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-12-04T08:31:57.1089535Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-12-04T08:31:57.1089849Z   DASHBOARD_TAG: 
2025-12-04T08:31:57.1090284Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-12-04T08:31:57.1090701Z   HUGGING_FACE_HUB_TOKEN: ***
2025-12-04T08:31:57.1091121Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-12-04T08:31:57.1091538Z   ARTIFACTS_FILE_SUFFIX: test-default-1-7-linux.4xlarge_57113416392
2025-12-04T08:31:57.1091945Z ##[endgroup]
2025-12-04T08:31:57.1114556Z + [[ default == \m\u\l\t\i\g\p\u ]]
2025-12-04T08:31:57.1114932Z + [[ linux-jammy-py3.10-clang18-asan == *onnx* ]]
2025-12-04T08:31:57.1115299Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T08:31:57.1117732Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-12-04T08:31:57.1137381Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.641 '
2025-12-04T08:31:57.1137744Z + TOTAL_MEMORY_WITH_SWAP=32
2025-12-04T08:31:57.1138072Z + [[ linux-jammy-py3.10-clang18-asan == *\s\3\9\0\x* ]]
2025-12-04T08:31:57.1138448Z + SHM_OPTS=--shm-size=1g
2025-12-04T08:31:57.1138731Z + JENKINS_USER='--user jenkins'
2025-12-04T08:31:57.1139093Z + DOCKER_SHELL_CMD=
2025-12-04T08:31:57.1139852Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:31:57.1146760Z +++ nproc --ignore=2
2025-12-04T08:31:57.1198708Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e 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=29g --memory-swap=32g --env-file=/tmp/github_env_19921726337 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:32:20.6039956Z + container_name=a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T08:32:20.6040780Z + echo DOCKER_CONTAINER_ID=a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T08:32:20.6041382Z + [[ linux-jammy-py3.10-clang18-asan == *\s\3\9\0\x* ]]
2025-12-04T08:32:20.6047495Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl
2025-12-04T08:32:20.6051063Z + docker exec -t a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-12-04T08:32:21.0748780Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f)
2025-12-04T08:32:23.8796137Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0)
2025-12-04T08:32:23.8799949Z 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+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2)
2025-12-04T08:32:23.8804367Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3)
2025-12-04T08:32:23.8809004Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8)
2025-12-04T08:32:23.8812678Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6)
2025-12-04T08:32:23.8817289Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0)
2025-12-04T08:32:23.8830652Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0)
2025-12-04T08:32:23.9201921Z 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+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.22.4)
2025-12-04T08:32:23.9221781Z 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+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0)
2025-12-04T08:32:23.9278986Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3)
2025-12-04T08:32:24.2914000Z Installing collected packages: torch
2025-12-04T08:32:51.0382788Z Successfully installed torch-2.10.0a0+gitffd9b0f
2025-12-04T08:32:51.1314654Z + export TERM=vt100
2025-12-04T08:32:51.1314939Z + TERM=vt100
2025-12-04T08:32:51.1318045Z ++ dirname .ci/pytorch/test.sh
2025-12-04T08:32:51.1405780Z + source .ci/pytorch/common.sh
2025-12-04T08:32:51.1413467Z +++ dirname .ci/pytorch/common.sh
2025-12-04T08:32:51.1420922Z ++ source .ci/pytorch/common_utils.sh
2025-12-04T08:32:51.1455190Z +++ declare -f -t trap_add
2025-12-04T08:32:51.1460071Z ++ set -ex -o pipefail
2025-12-04T08:32:51.1460387Z ++ [[ linux-jammy-py3.10-clang18-asan == *rocm* ]]
2025-12-04T08:32:51.1460734Z ++ BUILD_TEST_LIBTORCH=0
2025-12-04T08:32:51.1463444Z ++ dirname .ci/pytorch/test.sh
2025-12-04T08:32:51.1523583Z + source .ci/pytorch/common-build.sh
2025-12-04T08:32:51.1551516Z ++ [[ linux-jammy-py3.10-clang18-asan != *win-* ]]
2025-12-04T08:32:51.1557016Z ++++ dirname .ci/pytorch/common-build.sh
2025-12-04T08:32:51.1563817Z +++ cd .ci/pytorch
2025-12-04T08:32:51.1564537Z +++ pwd -P
2025-12-04T08:32:51.1592675Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-12-04T08:32:51.1593111Z ++ [[ linux-jammy-py3.10-clang18-asan == *-pch* ]]
2025-12-04T08:32:51.1593692Z ++ which sccache
2025-12-04T08:32:51.1614494Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-12-04T08:32:51.1614873Z ++ sccache --stop-server
2025-12-04T08:32:51.1749453Z ++ true
2025-12-04T08:32:51.1749728Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-12-04T08:32:51.1813672Z ++ trap_add sccache_epilogue EXIT
2025-12-04T08:32:51.1814007Z ++ trap_add_cmd=sccache_epilogue
2025-12-04T08:32:51.1814297Z ++ shift
2025-12-04T08:32:51.1814527Z ++ for trap_add_name in "$@"
2025-12-04T08:32:51.1819907Z ++++ trap -p EXIT
2025-12-04T08:32:51.1822170Z +++ eval 'extract_trap_cmd '
2025-12-04T08:32:51.1822501Z ++++ extract_trap_cmd
2025-12-04T08:32:51.1822738Z ++++ printf '%s\n' ''
2025-12-04T08:32:51.1823006Z +++ printf '%s\n' sccache_epilogue
2025-12-04T08:32:51.1824655Z ++ trap -- '
2025-12-04T08:32:51.1824954Z sccache_epilogue' EXIT
2025-12-04T08:32:51.1825217Z ++ [[ -n 1 ]]
2025-12-04T08:32:51.1825623Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-12-04T08:32:51.1826349Z Skipping sccache server initialization, setting environment variables
2025-12-04T08:32:51.1826855Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-12-04T08:32:51.1827167Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-12-04T08:32:51.1827528Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T08:32:51.1827987Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T08:32:51.1834539Z ++ export RUST_LOG=sccache::server=error
2025-12-04T08:32:51.1834952Z ++ RUST_LOG=sccache::server=error
2025-12-04T08:32:51.1835266Z ++ sccache --zero-stats
2025-12-04T08:32:51.4358931Z Statistics zeroed.
2025-12-04T08:32:51.4363151Z ++ which ccache
2025-12-04T08:32:51.4483932Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]]
2025-12-04T08:32:51.4484374Z + [[ linux-jammy-py3.10-clang18-asan != *s390x* ]]
2025-12-04T08:32:51.4484746Z + [[ -d /var/lib/jenkins/workspace ]]
2025-12-04T08:32:51.4486654Z ++ stat -c %u /var/lib/jenkins/workspace
2025-12-04T08:32:51.5087412Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-12-04T08:32:51.5087758Z + trap_add cleanup_workspace EXIT
2025-12-04T08:32:51.5088076Z + trap_add_cmd=cleanup_workspace
2025-12-04T08:32:51.5088360Z + shift
2025-12-04T08:32:51.5088569Z + for trap_add_name in "$@"
2025-12-04T08:32:51.5094744Z +++ trap -p EXIT
2025-12-04T08:32:51.5096096Z ++ eval 'extract_trap_cmd trap -- '\''
2025-12-04T08:32:51.5096640Z sccache_epilogue'\'' EXIT'
2025-12-04T08:32:51.5096950Z +++ extract_trap_cmd trap -- '
2025-12-04T08:32:51.5097244Z sccache_epilogue' EXIT
2025-12-04T08:32:51.5097760Z +++ printf '%s\n' '
2025-12-04T08:32:51.5097986Z sccache_epilogue'
2025-12-04T08:32:51.5098269Z ++ printf '%s\n' cleanup_workspace
2025-12-04T08:32:51.5098706Z + trap -- '
2025-12-04T08:32:51.5098959Z sccache_epilogue
2025-12-04T08:32:51.5099207Z cleanup_workspace' EXIT
2025-12-04T08:32:51.5099561Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-12-04T08:32:52.5416595Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-12-04T08:32:52.6839070Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]]
2025-12-04T08:32:52.6839517Z + echo 'Environment variables:'
2025-12-04T08:32:52.6839819Z Environment variables:
2025-12-04T08:32:52.6840073Z + env
2025-12-04T08:32:52.6997355Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:32:52.6997894Z CONTINUE_THROUGH_ERROR=True
2025-12-04T08:32:52.6998225Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang18-asan
2025-12-04T08:32:52.6998825Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T08:32:52.6999161Z HOSTNAME=a6b1642cd9ec
2025-12-04T08:32:52.6999739Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_7f76e60c-1388-4684-8493-abef8f0bd23f
2025-12-04T08:32:52.7000393Z GITHUB_ACTION=__run_3
2025-12-04T08:32:52.7000671Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T08:32:52.7001012Z GITHUB_RUN_NUMBER=384157
2025-12-04T08:32:52.7001307Z TEST_CONFIG=default
2025-12-04T08:32:52.7001573Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T08:32:52.7001917Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T08:32:52.7002449Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T08:32:52.7002866Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T08:32:52.7003188Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-12-04T08:32:52.7003504Z GITHUB_REF_TYPE=branch
2025-12-04T08:32:52.7003818Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:32:52.7004173Z XLA_CUDA=
2025-12-04T08:32:52.7004397Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T08:32:52.7004813Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T08:32:52.7005282Z ***
2025-12-04T08:32:52.7005508Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T08:32:52.7005780Z GITHUB_ACTIONS=true
2025-12-04T08:32:52.7006084Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T08:32:52.7006490Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:32:52.7006865Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:32:52.7007389Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main
2025-12-04T08:32:52.7007870Z UCC_HOME=/usr
2025-12-04T08:32:52.7008106Z VERBOSE_TEST_LOGS=False
2025-12-04T08:32:52.7008356Z GITHUB_REF=refs/heads/main
2025-12-04T08:32:52.7008619Z SHARD_NUMBER=1
2025-12-04T08:32:52.7008858Z GITHUB_REF_PROTECTED=true
2025-12-04T08:32:52.7009111Z HOME=/var/lib/jenkins
2025-12-04T08:32:52.7009398Z GITHUB_API_URL=https://api.github.com
2025-12-04T08:32:52.7009735Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-12-04T08:32:52.7010016Z UCX_COMMIT=
2025-12-04T08:32:52.7010233Z USE_SYSTEM_NCCL=1
2025-12-04T08:32:52.7010477Z NUM_TEST_SHARDS=7
2025-12-04T08:32:52.7010694Z UCX_HOME=/usr
2025-12-04T08:32:52.7011267Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_7f76e60c-1388-4684-8493-abef8f0bd23f
2025-12-04T08:32:52.7012086Z JOB_NAME=linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T08:32:52.7012975Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_7f76e60c-1388-4684-8493-abef8f0bd23f
2025-12-04T08:32:52.7013794Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T08:32:52.7014312Z GITHUB_EVENT_NAME=push
2025-12-04T08:32:52.7014573Z DASHBOARD_TAG=
2025-12-04T08:32:52.7014796Z GITHUB_RUN_ID=19921726337
2025-12-04T08:32:52.7015066Z INSTALLED_OPENBLAS=
2025-12-04T08:32:52.7015695Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_7f76e60c-1388-4684-8493-abef8f0bd23f
2025-12-04T08:32:52.7016388Z GITHUB_ACTOR=pytorchmergebot
2025-12-04T08:32:52.7016816Z PR_NUMBER=
2025-12-04T08:32:52.7017039Z DESIRED_CUDA=
2025-12-04T08:32:52.7017261Z GITHUB_RUN_ATTEMPT=1
2025-12-04T08:32:52.7017532Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T08:32:52.7017882Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T08:32:52.7018239Z TERM=vt100
2025-12-04T08:32:52.7018448Z INSTALLED_VISION=yes
2025-12-04T08:32:52.7018693Z BRANCH=main
2025-12-04T08:32:52.7018919Z SCCACHE_REGION=us-east-1
2025-12-04T08:32:52.7019183Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T08:32:52.7019473Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T08:32:52.7019748Z CUDA_PATH=/usr/local/cuda
2025-12-04T08:32:52.7020263Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T08:32:52.7020860Z GITHUB_SERVER_URL=https://github.com
2025-12-04T08:32:52.7021164Z UCC_COMMIT=
2025-12-04T08:32:52.7021371Z REENABLED_ISSUES=
2025-12-04T08:32:52.7021600Z DOCS=
2025-12-04T08:32:52.7021802Z SHLVL=1
2025-12-04T08:32:52.7021993Z MAX_JOBS=14
2025-12-04T08:32:52.7022219Z GITHUB_ACTOR_ID=97764156
2025-12-04T08:32:52.7022575Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:32:52.7022957Z GITHUB_REF_NAME=main
2025-12-04T08:32:52.7023343Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T08:32:52.7023780Z GITHUB_JOB=test
2025-12-04T08:32:52.7024018Z NO_TEST_TIMEOUT=False
2025-12-04T08:32:52.7024255Z TD_DISTRIBUTED=False
2025-12-04T08:32:52.7024523Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T08:32:52.7024832Z GITHUB_RETENTION_DAYS=90
2025-12-04T08:32:52.7025162Z OPENSSL_DIR=/opt/openssl
2025-12-04T08:32:52.7025435Z GITHUB_ACTION_REPOSITORY=
2025-12-04T08:32:52.7026235Z 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
2025-12-04T08:32:52.7027123Z GITHUB_BASE_REF=
2025-12-04T08:32:52.7027361Z INSTALLED_ACL=
2025-12-04T08:32:52.7027710Z ARTIFACTS_FILE_SUFFIX=test-default-1-7-linux.4xlarge_57113416392
2025-12-04T08:32:52.7028116Z CI=true
2025-12-04T08:32:52.7028344Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T08:32:52.7028673Z RUST_LOG=sccache::server=error
2025-12-04T08:32:52.7028940Z JOB_ID=57113416392
2025-12-04T08:32:52.7029177Z GITHUB_HEAD_REF=
2025-12-04T08:32:52.7029416Z GITHUB_ACTION_REF=
2025-12-04T08:32:52.7029715Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T08:32:52.7030068Z TEST_SHOWLOCALS=False
2025-12-04T08:32:52.7030331Z GITHUB_WORKFLOW=pull
2025-12-04T08:32:52.7030599Z DEBIAN_FRONTEND=noninteractive
2025-12-04T08:32:52.7031226Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_7f76e60c-1388-4684-8493-abef8f0bd23f
2025-12-04T08:32:52.7031879Z NO_TD=False
2025-12-04T08:32:52.7032115Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T08:32:52.7032413Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T08:32:52.7032733Z _=/usr/bin/env
2025-12-04T08:32:52.7033069Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-12-04T08:32:52.7535930Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-12-04T08:32:52.7537149Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T08:32:52.7537964Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-12-04T08:32:52.7538582Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-12-04T08:32:52.7539039Z + BUILD_DIR=build
2025-12-04T08:32:52.7539301Z + BUILD_RENAMED_DIR=build_renamed
2025-12-04T08:32:52.7539632Z + BUILD_BIN_DIR=build/bin
2025-12-04T08:32:52.7539912Z + SHARD_NUMBER=1
2025-12-04T08:32:52.7540140Z + NUM_TEST_SHARDS=7
2025-12-04T08:32:52.7540415Z + export TORCH_SERIALIZATION_DEBUG=1
2025-12-04T08:32:52.7540747Z + TORCH_SERIALIZATION_DEBUG=1
2025-12-04T08:32:52.7541025Z + export VALGRIND=ON
2025-12-04T08:32:52.7541328Z + VALGRIND=ON
2025-12-04T08:32:52.7541850Z + [[ linux-jammy-py3.10-clang18-asan == *clang9* ]]
2025-12-04T08:32:52.7542363Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]]
2025-12-04T08:32:52.7542914Z + detect_cuda_arch
2025-12-04T08:32:52.7543203Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]]
2025-12-04T08:32:52.7543580Z + [[ linux-jammy-py3.10-clang18-asan == *s390x* ]]
2025-12-04T08:32:52.7543920Z + [[ 0 == \1 ]]
2025-12-04T08:32:52.7544146Z + [[ True == \1 ]]
2025-12-04T08:32:52.7544414Z + [[ linux-jammy-py3.10-clang18-asan != *bazel* ]]
2025-12-04T08:32:52.7544788Z ++ realpath build/custom_test_artifacts
2025-12-04T08:32:52.7647533Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-12-04T08:32:52.7648077Z + [[ -n '' ]]
2025-12-04T08:32:52.7648309Z + echo 'Environment variables'
2025-12-04T08:32:52.7648605Z Environment variables
2025-12-04T08:32:52.7648855Z + env
2025-12-04T08:32:52.7762820Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:32:52.7763514Z CONTINUE_THROUGH_ERROR=True
2025-12-04T08:32:52.7763919Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang18-asan
2025-12-04T08:32:52.7764557Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T08:32:52.7764925Z HOSTNAME=a6b1642cd9ec
2025-12-04T08:32:52.7765553Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_7f76e60c-1388-4684-8493-abef8f0bd23f
2025-12-04T08:32:52.7766236Z GITHUB_ACTION=__run_3
2025-12-04T08:32:52.7766510Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T08:32:52.7766834Z GITHUB_RUN_NUMBER=384157
2025-12-04T08:32:52.7767102Z TEST_CONFIG=default
2025-12-04T08:32:52.7767363Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T08:32:52.7767905Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T08:32:52.7768232Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T08:32:52.7768647Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T08:32:52.7768962Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-12-04T08:32:52.7769271Z GITHUB_REF_TYPE=branch
2025-12-04T08:32:52.7769573Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:32:52.7769916Z XLA_CUDA=
2025-12-04T08:32:52.7770138Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T08:32:52.7770712Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T08:32:52.7771039Z ***
2025-12-04T08:32:52.7771265Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T08:32:52.7771538Z GITHUB_ACTIONS=true
2025-12-04T08:32:52.7771845Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T08:32:52.7772250Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:32:52.7772628Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:32:52.7773156Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main
2025-12-04T08:32:52.7773637Z UCC_HOME=/usr
2025-12-04T08:32:52.7773863Z TORCH_SERIALIZATION_DEBUG=1
2025-12-04T08:32:52.7774146Z VERBOSE_TEST_LOGS=False
2025-12-04T08:32:52.7774408Z GITHUB_REF=refs/heads/main
2025-12-04T08:32:52.7774659Z SHARD_NUMBER=1
2025-12-04T08:32:52.7774896Z GITHUB_REF_PROTECTED=true
2025-12-04T08:32:52.7775160Z HOME=/var/lib/jenkins
2025-12-04T08:32:52.7775443Z GITHUB_API_URL=https://api.github.com
2025-12-04T08:32:52.7775763Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-12-04T08:32:52.7776059Z UCX_COMMIT=
2025-12-04T08:32:52.7776278Z USE_SYSTEM_NCCL=1
2025-12-04T08:32:52.7776497Z NUM_TEST_SHARDS=7
2025-12-04T08:32:52.7776724Z UCX_HOME=/usr
2025-12-04T08:32:52.7777298Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_7f76e60c-1388-4684-8493-abef8f0bd23f
2025-12-04T08:32:52.7778091Z JOB_NAME=linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T08:32:52.7778880Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_7f76e60c-1388-4684-8493-abef8f0bd23f
2025-12-04T08:32:52.7779705Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T08:32:52.7780214Z GITHUB_EVENT_NAME=push
2025-12-04T08:32:52.7780451Z DASHBOARD_TAG=
2025-12-04T08:32:52.7780684Z GITHUB_RUN_ID=19921726337
2025-12-04T08:32:52.7780951Z INSTALLED_OPENBLAS=
2025-12-04T08:32:52.7781558Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_7f76e60c-1388-4684-8493-abef8f0bd23f
2025-12-04T08:32:52.7782397Z GITHUB_ACTOR=pytorchmergebot
2025-12-04T08:32:52.7782674Z PR_NUMBER=
2025-12-04T08:32:52.7782872Z DESIRED_CUDA=
2025-12-04T08:32:52.7783103Z GITHUB_RUN_ATTEMPT=1
2025-12-04T08:32:52.7783349Z VALGRIND=ON
2025-12-04T08:32:52.7783566Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T08:32:52.7783912Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T08:32:52.7784270Z TERM=vt100
2025-12-04T08:32:52.7784480Z INSTALLED_VISION=yes
2025-12-04T08:32:52.7784728Z BRANCH=main
2025-12-04T08:32:52.7784955Z SCCACHE_REGION=us-east-1
2025-12-04T08:32:52.7785219Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T08:32:52.7785507Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T08:32:52.7785772Z CUDA_PATH=/usr/local/cuda
2025-12-04T08:32:52.7786304Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T08:32:52.7786960Z GITHUB_SERVER_URL=https://github.com
2025-12-04T08:32:52.7787269Z UCC_COMMIT=
2025-12-04T08:32:52.7787498Z REENABLED_ISSUES=
2025-12-04T08:32:52.7787718Z DOCS=
2025-12-04T08:32:52.7787924Z SHLVL=1
2025-12-04T08:32:52.7788131Z MAX_JOBS=14
2025-12-04T08:32:52.7788346Z GITHUB_ACTOR_ID=97764156
2025-12-04T08:32:52.7788701Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:32:52.7789101Z GITHUB_REF_NAME=main
2025-12-04T08:32:52.7789478Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T08:32:52.7789920Z GITHUB_JOB=test
2025-12-04T08:32:52.7790162Z NO_TEST_TIMEOUT=False
2025-12-04T08:32:52.7790491Z TD_DISTRIBUTED=False
2025-12-04T08:32:52.7790770Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T08:32:52.7791084Z GITHUB_RETENTION_DAYS=90
2025-12-04T08:32:52.7791344Z OPENSSL_DIR=/opt/openssl
2025-12-04T08:32:52.7791624Z GITHUB_ACTION_REPOSITORY=
2025-12-04T08:32:52.7792446Z 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
2025-12-04T08:32:52.7793295Z GITHUB_BASE_REF=
2025-12-04T08:32:52.7793597Z INSTALLED_ACL=
2025-12-04T08:32:52.7793945Z ARTIFACTS_FILE_SUFFIX=test-default-1-7-linux.4xlarge_57113416392
2025-12-04T08:32:52.7794354Z CI=true
2025-12-04T08:32:52.7794626Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T08:32:52.7794960Z RUST_LOG=sccache::server=error
2025-12-04T08:32:52.7795237Z JOB_ID=57113416392
2025-12-04T08:32:52.7795468Z GITHUB_HEAD_REF=
2025-12-04T08:32:52.7795685Z GITHUB_ACTION_REF=
2025-12-04T08:32:52.7795977Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T08:32:52.7796344Z TEST_SHOWLOCALS=False
2025-12-04T08:32:52.7796584Z GITHUB_WORKFLOW=pull
2025-12-04T08:32:52.7796845Z DEBIAN_FRONTEND=noninteractive
2025-12-04T08:32:52.7797479Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_7f76e60c-1388-4684-8493-abef8f0bd23f
2025-12-04T08:32:52.7798116Z NO_TD=False
2025-12-04T08:32:52.7798351Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T08:32:52.7798662Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T08:32:52.7798968Z _=/usr/bin/env
2025-12-04T08:32:52.7799199Z + echo 'Testing pytorch'
2025-12-04T08:32:52.7799462Z Testing pytorch
2025-12-04T08:32:52.7799686Z + export LANG=C.UTF-8
2025-12-04T08:32:52.7799935Z + LANG=C.UTF-8
2025-12-04T08:32:52.8088400Z + PR_NUMBER=
2025-12-04T08:32:52.8088854Z + [[ default == \d\e\f\a\u\l\t ]]
2025-12-04T08:32:52.8089353Z + export CUDA_VISIBLE_DEVICES=0
2025-12-04T08:32:52.8089826Z + CUDA_VISIBLE_DEVICES=0
2025-12-04T08:32:52.8090332Z + export HIP_VISIBLE_DEVICES=0
2025-12-04T08:32:52.8090805Z + HIP_VISIBLE_DEVICES=0
2025-12-04T08:32:52.8091233Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-12-04T08:32:52.8091748Z + [[ default == \s\l\o\w ]]
2025-12-04T08:32:52.8092299Z + [[ linux-jammy-py3.10-clang18-asan == *slow-gradcheck* ]]
2025-12-04T08:32:52.8093056Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]]
2025-12-04T08:32:52.8093495Z + [[ linux-jammy-py3.10-clang18-asan == *rocm* ]]
2025-12-04T08:32:52.8093880Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]]
2025-12-04T08:32:52.8094435Z + [[ default == *crossref* ]]
2025-12-04T08:32:52.8094763Z + [[ linux-jammy-py3.10-clang18-asan == *rocm* ]]
2025-12-04T08:32:52.8095149Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]]
2025-12-04T08:32:52.8095535Z + [[ linux-jammy-py3.10-clang18-asan != *-bazel-* ]]
2025-12-04T08:32:52.8095908Z + pip_install ninja==1.10.2
2025-12-04T08:32:52.8096285Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-12-04T08:32:52.8096743Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-12-04T08:32:53.7342536Z Collecting ninja==1.10.2
2025-12-04T08:32:53.7576252Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-12-04T08:32:53.7966749Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-12-04T08:32:54.2126514Z Installing collected packages: ninja
2025-12-04T08:32:54.2126965Z   Attempting uninstall: ninja
2025-12-04T08:32:54.2134992Z     Found existing installation: ninja 1.11.1.4
2025-12-04T08:32:54.2156126Z     Uninstalling ninja-1.11.1.4:
2025-12-04T08:32:54.2307349Z       Successfully uninstalled ninja-1.11.1.4
2025-12-04T08:32:54.2833300Z Successfully installed ninja-1.10.2
2025-12-04T08:32:54.3458896Z + 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
2025-12-04T08:32:54.3461609Z + 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
2025-12-04T08:32:54.3462635Z + [[ linux-jammy-py3.10-clang18-asan == *aarch64* ]]
2025-12-04T08:32:54.3463048Z + [[ linux-jammy-py3.10-clang18-asan == *asan* ]]
2025-12-04T08:32:54.3464015Z + export ASAN_OPTIONS=detect_leaks=0:symbolize=1:detect_stack_use_after_return=true:strict_init_order=true:detect_odr_violation=1:detect_container_overflow=0:check_initialization_order=true:debug=true
2025-12-04T08:32:54.3465570Z + ASAN_OPTIONS=detect_leaks=0:symbolize=1:detect_stack_use_after_return=true:strict_init_order=true:detect_odr_violation=1:detect_container_overflow=0:check_initialization_order=true:debug=true
2025-12-04T08:32:54.3466515Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]]
2025-12-04T08:32:54.3467156Z + export UBSAN_OPTIONS=print_stacktrace=1:suppressions=/var/lib/jenkins/workspace/ubsan.supp
2025-12-04T08:32:54.3467867Z + UBSAN_OPTIONS=print_stacktrace=1:suppressions=/var/lib/jenkins/workspace/ubsan.supp
2025-12-04T08:32:54.3468384Z + export PYTORCH_TEST_WITH_ASAN=1
2025-12-04T08:32:54.3468698Z + PYTORCH_TEST_WITH_ASAN=1
2025-12-04T08:32:54.3468972Z + export PYTORCH_TEST_WITH_UBSAN=1
2025-12-04T08:32:54.3469286Z + PYTORCH_TEST_WITH_UBSAN=1
2025-12-04T08:32:54.3469673Z + export ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-18/bin/llvm-symbolizer
2025-12-04T08:32:54.3470172Z + ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-18/bin/llvm-symbolizer
2025-12-04T08:32:54.3470563Z + export TORCH_USE_RTLD_GLOBAL=1
2025-12-04T08:32:54.3470861Z + TORCH_USE_RTLD_GLOBAL=1
2025-12-04T08:32:54.3471202Z ++ clang --print-file-name=libclang_rt.asan-x86_64.so
2025-12-04T08:32:54.6539507Z + LD_PRELOAD=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so
2025-12-04T08:32:54.6540006Z + export LD_PRELOAD
2025-12-04T08:32:54.6540274Z + export VALGRIND=OFF
2025-12-04T08:32:54.6540540Z + VALGRIND=OFF
2025-12-04T08:32:54.6541241Z + cd test
2025-12-04T08:32:54.6541812Z + python -c 'import torch; print(torch.__version__, torch.version.git_version)'
2025-12-04T08:32:57.6047313Z 2.10.0a0+gitffd9b0f ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:32:58.0587864Z + echo 'The next four invocations are expected to crash; if they don'\''t that means ASAN/UBSAN is misconfigured'
2025-12-04T08:32:58.0588774Z The next four invocations are expected to crash; if they don't that means ASAN/UBSAN is misconfigured
2025-12-04T08:32:58.0589732Z + cd test
2025-12-04T08:32:58.0590527Z + get_exit_code python -c 'import torch; torch._C._crash_if_csrc_asan(3)'
2025-12-04T08:32:58.0590983Z + set +e
2025-12-04T08:32:58.0591284Z + python -c 'import torch; torch._C._crash_if_csrc_asan(3)'
2025-12-04T08:33:00.9906332Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:262:3: runtime error: index 3 out of bounds for type 'volatile char[3]'
2025-12-04T08:33:02.4030568Z     #0 0x7f7f9f020f7d in THPModule_crashIfCsrcASAN(_object*, _object*) /var/lib/jenkins/workspace/torch/csrc/Module.cpp:262:30
2025-12-04T08:33:02.4031582Z     #1 0x55b40f88ee89 in cfunction_vectorcall_O /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:516:24
2025-12-04T08:33:02.4032499Z     #2 0x55b40f884141 in _PyObject_VectorcallTstate /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114:11
2025-12-04T08:33:02.4033437Z     #3 0x55b40f884141 in PyObject_Vectorcall /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:123:12
2025-12-04T08:33:02.4034255Z     #4 0x55b40f884141 in call_function /usr/local/src/conda/python-3.10.14/Python/ceval.c:5893:13
2025-12-04T08:33:02.4035053Z     #5 0x55b40f884141 in _PyEval_EvalFrameDefault /usr/local/src/conda/python-3.10.14/Python/ceval.c:4181:23
2025-12-04T08:33:02.4035903Z     #6 0x55b40f922c5f in _PyEval_EvalFrame /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46:12
2025-12-04T08:33:02.4036720Z     #7 0x55b40f922c5f in _PyEval_Vector /usr/local/src/conda/python-3.10.14/Python/ceval.c:5067:24
2025-12-04T08:33:02.4037716Z     #8 0x55b40f922ba6 in PyEval_EvalCode /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134:12
2025-12-04T08:33:02.4038480Z     #9 0x55b40f953129 in run_eval_code_obj /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291:9
2025-12-04T08:33:02.4039208Z     #10 0x55b40f94e522 in run_mod /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312:19
2025-12-04T08:33:02.4039978Z     #11 0x55b40f94691c in PyRun_StringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1183:15
2025-12-04T08:33:02.4040830Z     #12 0x55b40f94675b in PyRun_SimpleStringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:503:9
2025-12-04T08:33:02.4041641Z     #13 0x55b40f94566a in pymain_run_command /usr/local/src/conda/python-3.10.14/Modules/main.c:252:11
2025-12-04T08:33:02.4042388Z     #14 0x55b40f94566a in pymain_run_python /usr/local/src/conda/python-3.10.14/Modules/main.c:582:21
2025-12-04T08:33:02.4043102Z     #15 0x55b40f94566a in Py_RunMain /usr/local/src/conda/python-3.10.14/Modules/main.c:670:5
2025-12-04T08:33:02.4043803Z     #16 0x55b40f9161f6 in Py_BytesMain /usr/local/src/conda/python-3.10.14/Modules/main.c:1090:12
2025-12-04T08:33:02.4044511Z     #17 0x7f7fa5330d8f in __libc_start_call_main csu/../sysdeps/nptl/libc_start_call_main.h:58:16
2025-12-04T08:33:02.4045113Z     #18 0x7f7fa5330e3f in __libc_start_main csu/../csu/libc-start.c:392:3
2025-12-04T08:33:02.4045683Z     #19 0x55b40f9160f0 in _start (/opt/conda/envs/py_3.10/bin/python3.10+0x1cb0f0)
2025-12-04T08:33:02.4046038Z 
2025-12-04T08:33:02.4046699Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:262:3 
2025-12-04T08:33:02.4503125Z + retcode=1
2025-12-04T08:33:02.4503537Z + set -e
2025-12-04T08:33:02.4503825Z + return 1
2025-12-04T08:33:02.4508173Z + cd test
2025-12-04T08:33:02.4509339Z + get_exit_code python -c 'import torch; torch._C._crash_if_vptr_ubsan()'
2025-12-04T08:33:02.4510022Z + set +e
2025-12-04T08:33:02.4510317Z + python -c 'import torch; torch._C._crash_if_vptr_ubsan()'
2025-12-04T08:33:05.7680843Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:297:16: runtime error: member call on address 0x7f8866b068a0 which does not point to an object of type 'Foo'
2025-12-04T08:33:05.7682682Z 0x7f8866b068a0: note: object is of type 'THPModule_crashIfvptrUBSAN(_object*, _object*)::Baz'
2025-12-04T08:33:05.7683398Z  ff 7f 00 00  50 ac e9 64 88 7f 00 00  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  a2 81 af 66
2025-12-04T08:33:05.7684168Z               ^~~~~~~~~~~~~~~~~~~~~~~
2025-12-04T08:33:05.7684614Z               vptr for 'THPModule_crashIfvptrUBSAN(_object*, _object*)::Baz'
2025-12-04T08:33:05.9914195Z     #0 0x7f88629c07bf in THPModule_crashIfvptrUBSAN(_object*, _object*) /var/lib/jenkins/workspace/torch/csrc/Module.cpp:297:16
2025-12-04T08:33:05.9915213Z     #1 0x55c0e2eec3d1 in cfunction_vectorcall_NOARGS /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:489:24
2025-12-04T08:33:05.9916187Z     #2 0x55c0e2ee3141 in _PyObject_VectorcallTstate /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114:11
2025-12-04T08:33:05.9917116Z     #3 0x55c0e2ee3141 in PyObject_Vectorcall /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:123:12
2025-12-04T08:33:05.9917936Z     #4 0x55c0e2ee3141 in call_function /usr/local/src/conda/python-3.10.14/Python/ceval.c:5893:13
2025-12-04T08:33:05.9918725Z     #5 0x55c0e2ee3141 in _PyEval_EvalFrameDefault /usr/local/src/conda/python-3.10.14/Python/ceval.c:4181:23
2025-12-04T08:33:05.9919598Z     #6 0x55c0e2f81c5f in _PyEval_EvalFrame /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46:12
2025-12-04T08:33:05.9920421Z     #7 0x55c0e2f81c5f in _PyEval_Vector /usr/local/src/conda/python-3.10.14/Python/ceval.c:5067:24
2025-12-04T08:33:05.9921167Z     #8 0x55c0e2f81ba6 in PyEval_EvalCode /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134:12
2025-12-04T08:33:05.9922196Z     #9 0x55c0e2fb2129 in run_eval_code_obj /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291:9
2025-12-04T08:33:05.9922942Z     #10 0x55c0e2fad522 in run_mod /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312:19
2025-12-04T08:33:05.9923716Z     #11 0x55c0e2fa591c in PyRun_StringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1183:15
2025-12-04T08:33:05.9924582Z     #12 0x55c0e2fa575b in PyRun_SimpleStringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:503:9
2025-12-04T08:33:05.9925396Z     #13 0x55c0e2fa466a in pymain_run_command /usr/local/src/conda/python-3.10.14/Modules/main.c:252:11
2025-12-04T08:33:05.9926144Z     #14 0x55c0e2fa466a in pymain_run_python /usr/local/src/conda/python-3.10.14/Modules/main.c:582:21
2025-12-04T08:33:05.9926866Z     #15 0x55c0e2fa466a in Py_RunMain /usr/local/src/conda/python-3.10.14/Modules/main.c:670:5
2025-12-04T08:33:05.9927571Z     #16 0x55c0e2f751f6 in Py_BytesMain /usr/local/src/conda/python-3.10.14/Modules/main.c:1090:12
2025-12-04T08:33:05.9928284Z     #17 0x7f8868cb7d8f in __libc_start_call_main csu/../sysdeps/nptl/libc_start_call_main.h:58:16
2025-12-04T08:33:05.9928886Z     #18 0x7f8868cb7e3f in __libc_start_main csu/../csu/libc-start.c:392:3
2025-12-04T08:33:05.9929453Z     #19 0x55c0e2f750f0 in _start (/opt/conda/envs/py_3.10/bin/python3.10+0x1cb0f0)
2025-12-04T08:33:05.9929805Z 
2025-12-04T08:33:05.9930258Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:297:16 
2025-12-04T08:33:06.0338817Z + retcode=1
2025-12-04T08:33:06.0339097Z + set -e
2025-12-04T08:33:06.0339316Z + return 1
2025-12-04T08:33:06.0343104Z + cd test
2025-12-04T08:33:06.0343616Z + get_exit_code python -c 'import torch; torch._C._crash_if_aten_asan(3)'
2025-12-04T08:33:06.0344441Z + set +e
2025-12-04T08:33:06.0344813Z + python -c 'import torch; torch._C._crash_if_aten_asan(3)'
2025-12-04T08:33:08.9700866Z /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:15:3: runtime error: index 3 out of bounds for type 'volatile char[3]'
2025-12-04T08:33:10.9339259Z     #0 0x7f696c7902eb in at::_crash_if_asan(int) /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:15:10
2025-12-04T08:33:10.9340783Z     #1 0x7f6993421979 in THPModule_crashIfATenASAN(_object*, _object*) /var/lib/jenkins/workspace/torch/csrc/Module.cpp:308:29
2025-12-04T08:33:10.9342433Z     #2 0x557a5cf74e89 in cfunction_vectorcall_O /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:516:24
2025-12-04T08:33:10.9344097Z     #3 0x557a5cf6a141 in _PyObject_VectorcallTstate /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114:11
2025-12-04T08:33:10.9346109Z     #4 0x557a5cf6a141 in PyObject_Vectorcall /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:123:12
2025-12-04T08:33:10.9347969Z     #5 0x557a5cf6a141 in call_function /usr/local/src/conda/python-3.10.14/Python/ceval.c:5893:13
2025-12-04T08:33:10.9349368Z     #6 0x557a5cf6a141 in _PyEval_EvalFrameDefault /usr/local/src/conda/python-3.10.14/Python/ceval.c:4181:23
2025-12-04T08:33:10.9350968Z     #7 0x557a5d008c5f in _PyEval_EvalFrame /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46:12
2025-12-04T08:33:10.9352276Z     #8 0x557a5d008c5f in _PyEval_Vector /usr/local/src/conda/python-3.10.14/Python/ceval.c:5067:24
2025-12-04T08:33:10.9353564Z     #9 0x557a5d008ba6 in PyEval_EvalCode /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134:12
2025-12-04T08:33:10.9354891Z     #10 0x557a5d039129 in run_eval_code_obj /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291:9
2025-12-04T08:33:10.9356219Z     #11 0x557a5d034522 in run_mod /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312:19
2025-12-04T08:33:10.9357506Z     #12 0x557a5d02c91c in PyRun_StringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1183:15
2025-12-04T08:33:10.9358954Z     #13 0x557a5d02c75b in PyRun_SimpleStringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:503:9
2025-12-04T08:33:10.9360358Z     #14 0x557a5d02b66a in pymain_run_command /usr/local/src/conda/python-3.10.14/Modules/main.c:252:11
2025-12-04T08:33:10.9361874Z     #15 0x557a5d02b66a in pymain_run_python /usr/local/src/conda/python-3.10.14/Modules/main.c:582:21
2025-12-04T08:33:10.9363112Z     #16 0x557a5d02b66a in Py_RunMain /usr/local/src/conda/python-3.10.14/Modules/main.c:670:5
2025-12-04T08:33:10.9364338Z     #17 0x557a5cffc1f6 in Py_BytesMain /usr/local/src/conda/python-3.10.14/Modules/main.c:1090:12
2025-12-04T08:33:10.9365507Z     #18 0x7f699977ed8f in __libc_start_call_main csu/../sysdeps/nptl/libc_start_call_main.h:58:16
2025-12-04T08:33:10.9366596Z     #19 0x7f699977ee3f in __libc_start_main csu/../csu/libc-start.c:392:3
2025-12-04T08:33:10.9367584Z     #20 0x557a5cffc0f0 in _start (/opt/conda/envs/py_3.10/bin/python3.10+0x1cb0f0)
2025-12-04T08:33:10.9368215Z 
2025-12-04T08:33:10.9368937Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:15:3 
2025-12-04T08:33:10.9781387Z + retcode=1
2025-12-04T08:33:10.9781629Z + set -e
2025-12-04T08:33:10.9781841Z + return 1
2025-12-04T08:33:10.9785016Z + [[ linux-jammy-py3.10-clang18-asan == *-debug* ]]
2025-12-04T08:33:10.9785460Z + [[ linux-jammy-py3.10-clang18-asan != *-bazel-* ]]
2025-12-04T08:33:10.9786023Z + echo 'We are not in debug mode: linux-jammy-py3.10-clang18-asan. Expect the assertion to pass'
2025-12-04T08:33:10.9786718Z We are not in debug mode: linux-jammy-py3.10-clang18-asan. Expect the assertion to pass
2025-12-04T08:33:10.9788793Z + cd test
2025-12-04T08:33:10.9789340Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-12-04T08:33:14.3907351Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-12-04T08:33:14.3907766Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-12-04T08:33:14.3908133Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-12-04T08:33:14.3912773Z + DYNAMO_BENCHMARK_FLAGS=()
2025-12-04T08:33:14.3913158Z + [[ default == *pr_time_benchmarks* ]]
2025-12-04T08:33:14.3913498Z + [[ default == *dynamo_eager* ]]
2025-12-04T08:33:14.3913792Z + [[ default == *aot_eager* ]]
2025-12-04T08:33:14.3914109Z + [[ default == *aot_inductor* ]]
2025-12-04T08:33:14.3914426Z + [[ default == *max_autotune_inductor* ]]
2025-12-04T08:33:14.3914737Z + [[ default == *inductor* ]]
2025-12-04T08:33:14.3915021Z + [[ default == *dynamic* ]]
2025-12-04T08:33:14.3915305Z + [[ default == *cpu* ]]
2025-12-04T08:33:14.3915556Z + [[ default == *xpu* ]]
2025-12-04T08:33:14.3915852Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-12-04T08:33:14.3948214Z + [[ linux-jammy-py3.10-clang18-asan == *libtorch* ]]
2025-12-04T08:33:14.3948948Z + [[ linux-jammy-py3.10-clang18-asan == *-bazel-* ]]
2025-12-04T08:33:14.3951468Z + cd test
2025-12-04T08:33:14.3952114Z + python -c 'import torch; print(torch.__config__.show())'
2025-12-04T08:33:17.3286305Z PyTorch built with:
2025-12-04T08:33:17.3286601Z   - GCC 4.2
2025-12-04T08:33:17.3286835Z   - C++ Version: 201703
2025-12-04T08:33:17.3287098Z   - clang 18.1.8
2025-12-04T08:33:17.3287675Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T08:33:17.3288401Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T08:33:17.3288841Z   - OpenMP 202011
2025-12-04T08:33:17.3289127Z   - LAPACK is enabled (usually provided by MKL)
2025-12-04T08:33:17.3289457Z   - NNPACK is enabled
2025-12-04T08:33:17.3289724Z   - CPU capability usage: AVX512
2025-12-04T08:33:17.3295353Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=RelWithDebInfo, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DUSE_KINETO -DLIBKINETO_NOCUPTI -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=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-12-04T08:33:17.3300835Z 
2025-12-04T08:33:17.7935009Z + cd test
2025-12-04T08:33:17.7935417Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-12-04T08:33:20.7177778Z ATen/Parallel:
2025-12-04T08:33:20.7178137Z 	at::get_num_threads() : 8
2025-12-04T08:33:20.7178451Z 	at::get_num_interop_threads() : 8
2025-12-04T08:33:20.7178744Z OpenMP 202011
2025-12-04T08:33:20.7179011Z 	omp_get_max_threads() : 8
2025-12-04T08:33:20.7179594Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T08:33:20.7180194Z 	mkl_get_max_threads() : 8
2025-12-04T08:33:20.7180590Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T08:33:20.7181056Z std::thread::hardware_concurrency() : 16
2025-12-04T08:33:20.7181391Z Environment variables:
2025-12-04T08:33:20.7181658Z 	OMP_NUM_THREADS : [not set]
2025-12-04T08:33:20.7181943Z 	MKL_NUM_THREADS : [not set]
2025-12-04T08:33:20.7182228Z ATen parallel backend: OpenMP
2025-12-04T08:33:20.7182414Z 
2025-12-04T08:33:21.1844822Z + [[ default == *numpy_2* ]]
2025-12-04T08:33:21.1845242Z + [[ linux-jammy-py3.10-clang18-asan == *aarch64* ]]
2025-12-04T08:33:21.1845606Z + [[ default == *backward* ]]
2025-12-04T08:33:21.1845932Z + [[ default == *libtorch_agnostic_targetting* ]]
2025-12-04T08:33:21.1846427Z + [[ default == *xla* ]]
2025-12-04T08:33:21.1846707Z + [[ default == *vllm* ]]
2025-12-04T08:33:21.1846978Z + [[ default == *executorch* ]]
2025-12-04T08:33:21.1847273Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]]
2025-12-04T08:33:21.1847582Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-12-04T08:33:21.1847959Z + [[ linux-jammy-py3.10-clang18-asan == *libtorch* ]]
2025-12-04T08:33:21.1848335Z + [[ default == distributed ]]
2025-12-04T08:33:21.1848643Z + [[ default == *operator_benchmark* ]]
2025-12-04T08:33:21.1849204Z + [[ default == *operator_microbenchmark* ]]
2025-12-04T08:33:21.1849563Z + [[ default == *attention_microbenchmark* ]]
2025-12-04T08:33:21.1849951Z + [[ default == *inductor_distributed* ]]
2025-12-04T08:33:21.1850271Z + [[ default == *inductor-halide* ]]
2025-12-04T08:33:21.1850593Z + [[ default == *inductor-pallas* ]]
2025-12-04T08:33:21.1850923Z + [[ default == *inductor-triton-cpu* ]]
2025-12-04T08:33:21.1851265Z + [[ default == *inductor-micro-benchmark* ]]
2025-12-04T08:33:21.1851645Z + [[ default == *aoti_cross_compile_for_windows* ]]
2025-12-04T08:33:21.1852012Z + [[ default == *huggingface* ]]
2025-12-04T08:33:21.1852309Z + [[ default == *timm* ]]
2025-12-04T08:33:21.1852566Z + [[ default == cachebench ]]
2025-12-04T08:33:21.1852865Z + [[ default == verify_cachebench ]]
2025-12-04T08:33:21.1853181Z + [[ default == *torchbench* ]]
2025-12-04T08:33:21.1853475Z + [[ default == *inductor_cpp_wrapper* ]]
2025-12-04T08:33:21.1853811Z + [[ default == *inductor_core* ]]
2025-12-04T08:33:21.1854123Z + [[ default == *inductor* ]]
2025-12-04T08:33:21.1854395Z + [[ default == *einops* ]]
2025-12-04T08:33:21.1854680Z + [[ default == *dynamo_core* ]]
2025-12-04T08:33:21.1854983Z + [[ default == *dynamo_wrapped* ]]
2025-12-04T08:33:21.1855391Z + [[ linux-jammy-py3.10-clang18-asan == *rocm* ]]
2025-12-04T08:33:21.1855742Z + [[ 1 == 1 ]]
2025-12-04T08:33:21.1855970Z + [[ 7 -gt 1 ]]
2025-12-04T08:33:21.1856215Z + test_lazy_tensor_meta_reference_disabled
2025-12-04T08:33:21.1856623Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-12-04T08:33:21.1857203Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-12-04T08:33:21.1857653Z + echo 'Testing lazy tensor operations without meta reference'
2025-12-04T08:33:21.1858103Z Testing lazy tensor operations without meta reference
2025-12-04T08:33:21.1858588Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
2025-12-04T08:33:28.3870087Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T08:33:28.4364398Z Ignoring disabled issues:  ['']
2025-12-04T08:33:28.4495883Z Found test times from artifacts
2025-12-04T08:33:28.4998854Z Found test times from artifacts
2025-12-04T08:33:28.5014875Z Running all tests
2025-12-04T08:33:28.5018318Z Running parallel tests on 3 processes
2025-12-04T08:33:28.5018849Z Name: tests to run (est. time: 1.04min)
2025-12-04T08:33:28.5019166Z   Serial tests (0):
2025-12-04T08:33:28.5019435Z   Parallel tests (1):
2025-12-04T08:33:28.5019714Z     lazy/test_ts_opinfo 1/1
2025-12-04T08:33:28.5020009Z Name: excluded (est. time: 0.0min)
2025-12-04T08:33:28.5020314Z   Serial tests (0):
2025-12-04T08:33:28.5020546Z   Parallel tests (0):
2025-12-04T08:33:28.5021478Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:33:28.502015][643.177383345]
2025-12-04T08:33:28.5021944Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:33:28.5026420Z 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'] ... [2025-12-04 08:33:28.502429]
2025-12-04T08:33:35.2766334Z 
2025-12-04T08:33:35.2767242Z 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_ce185177d39b5f3a_.log
2025-12-04T08:33:35.2768030Z Running 0 items in this shard:
2025-12-04T08:33:35.2768225Z 
2025-12-04T08:33:35.2768531Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:33:35.276609][649.95197253], took 0.11min
2025-12-04T08:33:35.2774741Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-ed0e002cbebfcf6c.xml
2025-12-04T08:33:35.6216630Z Uploading artifacts took 0.13 seconds
2025-12-04T08:33:40.6002332Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:33:40.599670][655.275033968]
2025-12-04T08:33:40.6003322Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:33:40.6004447Z 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'] ... [2025-12-04 08:33:40.600186]
2025-12-04T08:34:15.1622367Z 
2025-12-04T08:34:15.1623221Z 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_c17033dcd82b518b_.log
2025-12-04T08:34:15.1742864Z Running 294 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_svd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_svd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic
2025-12-04T08:34:15.1866857Z 
2025-12-04T08:34:15.1867234Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:34:15.162858][689.838223347], took 0.58min
2025-12-04T08:34:15.1868527Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-fbef8bd389da1e5e.xml
2025-12-04T08:34:16.2115895Z Running test batch 'tests to run' cost 47.71 seconds
2025-12-04T08:34:17.0925447Z 
2025-12-04T08:34:17.0925854Z real	0m55.908s
2025-12-04T08:34:17.0926171Z user	2m40.305s
2025-12-04T08:34:17.0926386Z sys	0m13.971s
2025-12-04T08:34:17.0926822Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
2025-12-04T08:34:17.0933193Z + test_without_numpy
2025-12-04T08:34:17.0950698Z ++ dirname .ci/pytorch/test.sh
2025-12-04T08:34:17.1006479Z + pushd .ci/pytorch
2025-12-04T08:34:17.1007039Z ~/workspace/.ci/pytorch ~/workspace
2025-12-04T08:34:17.1007984Z + 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())'
2025-12-04T08:34:19.2250944Z /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.)
2025-12-04T08:34:19.2252414Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T08:34:20.6362238Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))'
2025-12-04T08:34:22.5268755Z /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.)
2025-12-04T08:34:22.5270240Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T08:34:23.4594124Z tensor([0., 1.])
2025-12-04T08:34:23.9166867Z + [[ default == *dynamo_wrapped* ]]
2025-12-04T08:34:23.9167434Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx'
2025-12-04T08:34:25.8222622Z /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.)
2025-12-04T08:34:25.8224106Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T08:34:27.2373242Z + popd
2025-12-04T08:34:27.2373527Z ~/workspace
2025-12-04T08:34:27.2373763Z + install_torchvision
2025-12-04T08:34:27.2385406Z + local orig_preload
2025-12-04T08:34:27.2385713Z + local commit
2025-12-04T08:34:27.2388754Z ++ get_pinned_commit vision
2025-12-04T08:34:27.2389079Z ++ cat .github/ci_commit_pins/vision.txt
2025-12-04T08:34:27.2473547Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:34:27.2474142Z + orig_preload=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so
2025-12-04T08:34:27.2474775Z + '[' -n /usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so ']'
2025-12-04T08:34:27.2476517Z + echo 'char* dlerror(void) { return "";}'
2025-12-04T08:34:27.2477751Z + gcc -fpic -shared -o /var/lib/jenkins/dlerror.so -x c -
2025-12-04T08:34:27.4588359Z + LD_PRELOAD=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so:/var/lib/jenkins/dlerror.so
2025-12-04T08:34:27.4589046Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]]
2025-12-04T08:34:27.4589768Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision
2025-12-04T08:34:27.4593855Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:34:27.4594464Z + local wheel_dir=dist/vision
2025-12-04T08:34:27.4594744Z + local found_whl=0
2025-12-04T08:34:27.4595005Z + for file in "${wheel_dir}"/*.whl
2025-12-04T08:34:27.4595527Z + [[ -f dist/vision/*.whl ]]
2025-12-04T08:34:27.4595783Z + '[' 0 == 0 ']'
2025-12-04T08:34:27.4596477Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:34:27.9022534Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:34:27.9024966Z   Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-mh5drjzb
2025-12-04T08:34:27.9092792Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-mh5drjzb
2025-12-04T08:34:30.4892364Z   Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e'
2025-12-04T08:34:30.4961390Z   Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:34:30.7273799Z   Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:34:34.5311702Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T08:34:34.5358830Z [?25hBuilding wheels for collected packages: torchvision
2025-12-04T08:35:35.1856774Z   Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done
2025-12-04T08:35:35.1904307Z [?25h  Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1167642 sha256=5f11afc456b5bc7027dd919e0431cf2470de3e7132c3e64352ab23b26a421f5f
2025-12-04T08:35:35.1906374Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac
2025-12-04T08:35:35.1958418Z Successfully built torchvision
2025-12-04T08:35:35.2933429Z + for file in "${wheel_dir}"/*.whl
2025-12-04T08:35:35.2934060Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T08:35:35.2940834Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl')
2025-12-04T08:35:35.2941323Z + local args
2025-12-04T08:35:35.2941756Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-12-04T08:35:35.2942271Z + for path in "${args[@]}"
2025-12-04T08:35:35.2942746Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl'
2025-12-04T08:35:35.2943475Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T08:35:35.2944279Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T08:35:35.7443598Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T08:35:35.7571441Z Installing collected packages: torchvision
2025-12-04T08:35:36.4471365Z Successfully installed torchvision-0.25.0a0+617079d
2025-12-04T08:35:36.5163793Z + '[' -n /usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so:/var/lib/jenkins/dlerror.so ']'
2025-12-04T08:35:36.5164581Z + LD_PRELOAD=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so
2025-12-04T08:35:36.5165046Z + test_python_shard 1
2025-12-04T08:35:36.5165302Z + [[ -z 7 ]]
2025-12-04T08:35:36.5166071Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 7 --verbose --upload-artifacts-while-running
2025-12-04T08:35:43.7612817Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T08:35:43.7737869Z Found test times from artifacts
2025-12-04T08:35:43.8221747Z Found test times from artifacts
2025-12-04T08:35:43.8237996Z Running all tests
2025-12-04T08:35:43.8969779Z Running parallel tests on 3 processes
2025-12-04T08:35:43.8974132Z Name: tests to run (est. time: 99.5min)
2025-12-04T08:35:43.8974846Z   Serial tests (48):
2025-12-04T08:35:43.8975108Z     dynamo/test_fake_distributed 1/1
2025-12-04T08:35:43.8975442Z     test_utils 1/1
2025-12-04T08:35:43.8975699Z     test_ci_sanity_check_fail 1/1
2025-12-04T08:35:43.8975992Z     test_fx 2/2
2025-12-04T08:35:43.8976236Z     test_multiprocessing_spawn 1/1
2025-12-04T08:35:43.8976545Z     nn/test_pooling 1/1
2025-12-04T08:35:43.8976807Z     test_overrides 1/1
2025-12-04T08:35:43.8977054Z     test_reductions 1/1
2025-12-04T08:35:43.8977316Z     test_spectral_ops 1/1
2025-12-04T08:35:43.8977588Z     doctests 1/1
2025-12-04T08:35:43.8977824Z     inductor/test_flex_attention 1/8
2025-12-04T08:35:43.8978146Z     inductor/test_flex_attention 3/8
2025-12-04T08:35:43.8978463Z     inductor/test_flex_attention 4/8
2025-12-04T08:35:43.8978763Z     inductor/test_flex_attention 5/8
2025-12-04T08:35:43.8979076Z     inductor/test_flex_attention 6/8
2025-12-04T08:35:43.8979388Z     inductor/test_flex_attention 7/8
2025-12-04T08:35:43.8979691Z     inductor/test_flex_attention 8/8
2025-12-04T08:35:43.8980008Z     inductor/test_cutlass_backend 1/1
2025-12-04T08:35:43.8980332Z     inductor/test_benchmark_fusion 1/1
2025-12-04T08:35:43.8980669Z     inductor/test_distributed_patterns 1/1
2025-12-04T08:35:43.8980987Z     test_sort_and_select 1/1
2025-12-04T08:35:43.8981287Z     test_privateuseone_python_backend 1/1
2025-12-04T08:35:43.8981622Z     test_cpp_api_parity 1/1
2025-12-04T08:35:43.8981890Z     test_extension_utils 1/1
2025-12-04T08:35:43.8982168Z     test_show_pickle 1/1
2025-12-04T08:35:43.8982555Z     test_tensorexpr 1/1
2025-12-04T08:35:43.8982818Z     test_namedtuple_return_api 1/1
2025-12-04T08:35:43.8983122Z     test_fake_tensor 1/1
2025-12-04T08:35:43.8983397Z     test_multiprocessing 1/1
2025-12-04T08:35:43.8983675Z     test_autograd_fallback 1/1
2025-12-04T08:35:43.8983960Z     test_autocast 1/1
2025-12-04T08:35:43.8984218Z     test_jit_disabled 1/1
2025-12-04T08:35:43.8984555Z     test_cpp_extensions_mtia_backend 1/1
2025-12-04T08:35:43.8984913Z     functorch/test_memory_efficient_fusion 1/1
2025-12-04T08:35:43.8985344Z     test_cpp_extensions_stream_and_event 1/1
2025-12-04T08:35:43.8985658Z     test_dispatch 1/1
2025-12-04T08:35:43.8985917Z     nn/test_convolution 1/1
2025-12-04T08:35:43.8986199Z     test_cpp_extensions_jit 1/1
2025-12-04T08:35:43.8986484Z     test_cuda_trace 1/1
2025-12-04T08:35:43.8986785Z     test_native_mha 1/1
2025-12-04T08:35:43.8987049Z     test_cuda_nvml_based_avail 1/1
2025-12-04T08:35:43.8987357Z     test_mobile_optimizer 1/1
2025-12-04T08:35:43.8987639Z     test_cuda_primary_ctx 1/1
2025-12-04T08:35:43.8987943Z     distributions/test_distributions 1/1
2025-12-04T08:35:43.8988273Z     test_autoload_disable 1/1
2025-12-04T08:35:43.8988546Z     test_autoload_enable 1/1
2025-12-04T08:35:43.8988842Z     test_cpp_extensions_aot_ninja 1/1
2025-12-04T08:35:43.8989225Z     test_cpp_extensions_aot_no_ninja 1/1
2025-12-04T08:35:43.8989547Z   Parallel tests (14):
2025-12-04T08:35:43.8989900Z     inductor/test_collective_autotuning 1/1
2025-12-04T08:35:43.8990244Z     inductor/test_smoke 1/1
2025-12-04T08:35:43.8990542Z     inductor/test_triton_cpu_backend 1/1
2025-12-04T08:35:43.8990862Z     inductor/test_subgraph_choice 1/1
2025-12-04T08:35:43.8991180Z     inductor/test_flex_flash 1/1
2025-12-04T08:35:43.8991504Z     inductor/test_cooperative_reductions 1/1
2025-12-04T08:35:43.8991836Z     inductor/test_control_deps 1/1
2025-12-04T08:35:43.8992145Z     inductor/test_profiler 1/1
2025-12-04T08:35:43.8992449Z     inductor/test_mix_order_reduction 1/1
2025-12-04T08:35:43.8992773Z     inductor/test_fxir_backend 1/1
2025-12-04T08:35:43.8993082Z     nn/attention/test_fa4 1/1
2025-12-04T08:35:43.8993370Z     test_cuda_sanitizer 1/1
2025-12-04T08:35:43.8993645Z     functorch/test_aotdispatch 8/13
2025-12-04T08:35:43.8993958Z     test_accelerator 1/1
2025-12-04T08:35:43.8994236Z Name: excluded (est. time: 0.0min)
2025-12-04T08:35:43.8994542Z   Serial tests (0):
2025-12-04T08:35:43.8994794Z   Parallel tests (0):
2025-12-04T08:35:43.8995317Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:35:43.898330][778.573697778]
2025-12-04T08:35:43.8995828Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:35:43.8996926Z 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'] ... [2025-12-04 08:35:43.898813]
2025-12-04T08:35:51.6803354Z 
2025-12-04T08:35:51.6804419Z 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_e5d61ab33dd9a8d9_.log
2025-12-04T08:35:51.6806374Z Running 3 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_flatten, test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_device_mesh_get_local_rank
2025-12-04T08:35:51.6807713Z 
2025-12-04T08:35:51.6808028Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:35:51.680132][786.355493142], took 0.13min
2025-12-04T08:35:51.6814499Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-6967a26a7820476e.xml
2025-12-04T08:35:52.0173266Z Uploading artifacts took 0.13 seconds
2025-12-04T08:35:52.0176959Z Running test_utils 1/1 ... [2025-12-04 08:35:52.017527][786.692891583]
2025-12-04T08:35:52.0177672Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:35:52.0181608Z 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'] ... [2025-12-04 08:35:52.017951]
2025-12-04T08:38:17.0829488Z 
2025-12-04T08:38:17.0831985Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_aa3bbd1fcd46cd20_.log
2025-12-04T08:38:17.3023677Z Running 6049 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_gpu, 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_gpu, 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, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_shapes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_v2_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_v2_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_v2_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_v2_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, 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
2025-12-04T08:38:17.5097248Z 
2025-12-04T08:38:17.5097523Z Finished test_utils 1/1 ... [2025-12-04 08:38:17.094916][931.770277221], took 2.42min
2025-12-04T08:38:17.5098452Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-69d67d8e86339382.xml
2025-12-04T08:38:17.5099374Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 08:38:17.310271][931.985635275]
2025-12-04T08:38:17.5099943Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:38:17.5101249Z 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'] ... [2025-12-04 08:38:17.310691]
2025-12-04T08:38:40.2374038Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 08:38:40.236973][954.912336053], took 0.38min
2025-12-04T08:38:40.2388792Z Running test_fx 2/2 ... [2025-12-04 08:38:40.238663][954.91402946]
2025-12-04T08:38:40.2391253Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:38:40.2392892Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:38:40.239093]
2025-12-04T08:43:27.6256535Z 
2025-12-04T08:43:27.6258135Z test_fx 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_2.2_8adf07c81be51b08_.log
2025-12-04T08:43:27.6499529Z Running 634 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_placeholder, 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_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::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_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, 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_partial_graph, 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_do_not_fold_impure_subgraph, test/test_fx.py::TestConstFold::test_fold_pure_subgraph, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_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_annotations, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, 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_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_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_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, 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_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_checks, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestSourceMatcher::test_legalize_slice, 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_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, 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_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, 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_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, 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_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_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, 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_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_with_submodule, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, 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_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fx_shifts, 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_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, 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_not_enough_args, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_with_codegen, 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_native_callable, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_print_graph, test/test_fx.py::TestFX::test_profiler_multiple_modules, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_profiler_stack_trace_augmentation, 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_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_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_unbacked_sym, 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_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, 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_fx_len, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_trace_buffer_slice, 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_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrapped_retrace, 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_function_back_compat, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, 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_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, 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_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_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, 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_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, 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_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, 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_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, 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_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_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_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_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_grouped_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_smooth_l1_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_softshrink, 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_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_alias_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hash_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_true_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trunc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unflatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_uniform_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestVisionTracing::test_torchvision_models_alexnet, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_base, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_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_densenet201, 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_keypointrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_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_b2, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b4, 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_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_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet152, 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_segmentation_deeplabv3_mobilenet_v3_large, 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_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_x2_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_s, 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_vgg13, 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_r3d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_s3d, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet50_2
2025-12-04T08:43:27.6734243Z 
2025-12-04T08:43:27.6734509Z Finished test_fx 2/2 ... [2025-12-04 08:43:27.626899][1242.302262449], took 4.79min
2025-12-04T08:43:27.6735387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-660b1e545fb1ef17.xml
2025-12-04T08:43:27.7443891Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 08:43:27.744093][1242.41945722]
2025-12-04T08:43:27.7444398Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:43:27.7447687Z 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'] ... [2025-12-04 08:43:27.744512]
2025-12-04T08:46:22.0006002Z 
2025-12-04T08:46:22.0006949Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_12d8d0334ca2f725_.log
2025-12-04T08:46:22.0018404Z 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
2025-12-04T08:46:22.0029379Z 
2025-12-04T08:46:22.0029703Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 08:46:22.000452][1416.675816903], took 2.90min
2025-12-04T08:46:22.0030822Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-712a5bba17a97439.xml
2025-12-04T08:46:22.1096313Z Running nn/test_pooling 1/1 ... [2025-12-04 08:46:22.109291][1416.784655148]
2025-12-04T08:46:22.1096794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:46:22.1099596Z 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'] ... [2025-12-04 08:46:22.109707]
2025-12-04T08:47:37.7115995Z 
2025-12-04T08:47:37.7117142Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_b361c820276e4445_.log
2025-12-04T08:47:37.7161516Z Running 115 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_LPPool1d_kernel_size_overflow_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_invalid_output_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_unpool_invalid_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu
2025-12-04T08:47:37.7204600Z 
2025-12-04T08:47:37.7204859Z Finished nn/test_pooling 1/1 ... [2025-12-04 08:47:37.711654][1492.387018049], took 1.26min
2025-12-04T08:47:37.7205841Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-638a90eedeb4976e.xml
2025-12-04T08:47:37.8076798Z Running test_overrides 1/1 ... [2025-12-04 08:47:37.807420][1492.48278471]
2025-12-04T08:47:37.8077245Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:47:37.8080782Z 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'] ... [2025-12-04 08:47:37.807853]
2025-12-04T08:47:48.0367534Z 
2025-12-04T08:47:48.0368402Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_30b16cb07f0bacd9_.log
2025-12-04T08:47:48.0856183Z Running 1477 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_imag___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cuda___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ipu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_leaf___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_maia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_meta___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mkldnn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mps___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mtia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_nested___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_quantized___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse_csr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_vulkan___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_itemsize___get__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, 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, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, 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_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_, test/test_overrides.py::TestTorchFunctionOverride::test_base, test/test_overrides.py::TestTorchFunctionOverride::test_dtype_override, test/test_overrides.py::TestTorchFunctionOverride::test_grad, test/test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence, test/test_overrides.py::TestTorchFunctionOverride::test_mean_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_entr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfcx, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_expit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammainc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammaincc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_hermite_polynomial_h, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_hermite_polynomial_he, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i0e, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i1e, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_laguerre_polynomial_l, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_legendre_polynomial_p, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_multigammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtr, 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, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_spherical_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlog1py, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_zeta, test/test_overrides.py::TestTorchFunctionOverride::test_torch__assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__conj_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__functional_assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fused_rms_norm, 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_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
2025-12-04T08:47:48.1332942Z 
2025-12-04T08:47:48.1333213Z Finished test_overrides 1/1 ... [2025-12-04 08:47:48.039202][1502.714564372], took 0.17min
2025-12-04T08:47:48.1334186Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-209cb9cbaecf3cc7.xml
2025-12-04T08:47:48.1641248Z Running test_reductions 1/1 ... [2025-12-04 08:47:48.163870][1502.839234112]
2025-12-04T08:47:48.1641703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:47:48.1645142Z 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'] ... [2025-12-04 08:47:48.164298]
2025-12-04T08:50:31.2697303Z 
2025-12-04T08:50:31.2698593Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_3910bf23649b6b7c_.log
2025-12-04T08:50:31.4457075Z Running 4677 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int64, 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test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64
2025-12-04T08:50:31.6166771Z 
2025-12-04T08:50:31.6167063Z Finished test_reductions 1/1 ... [2025-12-04 08:50:31.279128][1665.954484411], took 2.72min
2025-12-04T08:50:31.6168080Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-27af43b9b043e2a7.xml
2025-12-04T08:50:31.6169009Z Running test_spectral_ops 1/1 ... [2025-12-04 08:50:31.467604][1666.142967352]
2025-12-04T08:50:31.6169449Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:50:31.6170478Z 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'] ... [2025-12-04 08:50:31.468039]
2025-12-04T08:51:07.3871413Z 
2025-12-04T08:51:07.3872539Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_ab158cefd5da538c_.log
2025-12-04T08:51:07.3964938Z Running 281 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, 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test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_ifft_rfft_irfft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_input_modification_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_invalid_dtypes_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_plan_repeatable_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_int8, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_out_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_out_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_against_librosa_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_linearity_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_of_sine_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_simple_cases_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_various_params_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_with_padding_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_throws_cpu, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_stft_align_to_window_only_requires_non_center_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_complex_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu
2025-12-04T08:51:07.4054674Z 
2025-12-04T08:51:07.4054951Z Finished test_spectral_ops 1/1 ... [2025-12-04 08:51:07.387605][1702.062967987], took 0.60min
2025-12-04T08:51:07.4056026Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-04c10a065f9c8c4e.xml
2025-12-04T08:51:07.4850159Z Running doctests 1/1 ... [2025-12-04 08:51:07.484764][1702.160128201]
2025-12-04T08:51:08.2655100Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368.
2025-12-04T08:51:08.2655987Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:08.2656599Z Registers the function implementation as the fallback for the given key.
2025-12-04T08:51:08.2656976Z 
2025-12-04T08:51:08.2657218Z         This function only works for a library with global namespace ("_").
2025-12-04T08:51:08.2657552Z 
2025-12-04T08:51:08.2657649Z         Args:
2025-12-04T08:51:08.2658055Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T08:51:08.2658582Z                 to register a fallthrough.
2025-12-04T08:51:08.2659128Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T08:51:08.2659988Z                           the dispatch key that the library was created with.
2025-12-04T08:51:08.2660645Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T08:51:08.2661466Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T08:51:08.2661905Z 
2025-12-04T08:51:08.2662047Z         Example::
2025-12-04T08:51:08.2662188Z 
2025-12-04T08:51:08.2662297Z             >>> my_lib = Library("_", "IMPL")
2025-12-04T08:51:08.2662660Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T08:51:08.2663044Z             >>>     # Handle all autocast ops generically
2025-12-04T08:51:08.2663370Z             >>>     # ...
2025-12-04T08:51:08.2663683Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T08:51:08.2664047Z         
2025-12-04T08:51:08.2664798Z 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))
2025-12-04T08:51:08.2665527Z 
2025-12-04T08:51:08.2665653Z my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T08:51:08.2665972Z ^
2025-12-04T08:51:08.2875037Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958.
2025-12-04T08:51:08.2875910Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:08.2876494Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T08:51:08.2876849Z 
2025-12-04T08:51:08.2877024Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T08:51:08.2877309Z 
2025-12-04T08:51:08.2877562Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T08:51:08.2878163Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T08:51:08.2878742Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T08:51:08.2879225Z     what the properties of the output Tensors are.
2025-12-04T08:51:08.2879489Z 
2025-12-04T08:51:08.2879714Z     The FakeTensor implementation has the same signature as the operator.
2025-12-04T08:51:08.2880267Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T08:51:08.2880794Z     implementation, assume that all Tensor inputs to the operator are
2025-12-04T08:51:08.2881472Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T08:51:08.2882055Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T08:51:08.2882610Z     The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T08:51:08.2883198Z     (and may not directly access the storage or data of any input or
2025-12-04T08:51:08.2883609Z     intermediate Tensors).
2025-12-04T08:51:08.2883780Z 
2025-12-04T08:51:08.2883950Z     This API may be used as a decorator (see examples).
2025-12-04T08:51:08.2884206Z 
2025-12-04T08:51:08.2884344Z     For a detailed guide on custom ops, please see
2025-12-04T08:51:08.2884843Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T08:51:08.2885198Z 
2025-12-04T08:51:08.2885285Z     Args:
2025-12-04T08:51:08.2885628Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T08:51:08.2886069Z         func: Fake tensor implementation.
2025-12-04T08:51:08.2886492Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T08:51:08.2886988Z         allow_override: Flag controlling if we want to override an
2025-12-04T08:51:08.2887443Z                         existing registered fake impl. This is by default off,
2025-12-04T08:51:08.2887911Z                         and will error you're trying to register a fake impl to
2025-12-04T08:51:08.2888374Z                         an operator that already has a fake impl. This also only
2025-12-04T08:51:08.2888922Z                         applies if the custom operator was not created via
2025-12-04T08:51:08.2889377Z                         torch.library.custom_op, as overriding and existing fake
2025-12-04T08:51:08.2889808Z                         impl is already allowed.
2025-12-04T08:51:08.2890027Z 
2025-12-04T08:51:08.2890132Z     Examples:
2025-12-04T08:51:08.2890349Z         >>> import torch
2025-12-04T08:51:08.2890621Z         >>> import numpy as np
2025-12-04T08:51:08.2890915Z         >>> from torch import Tensor
2025-12-04T08:51:08.2891208Z         >>>
2025-12-04T08:51:08.2891502Z         >>> # Example 1: an operator without data-dependent output shape
2025-12-04T08:51:08.2892028Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T08:51:08.2892574Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T08:51:08.2893070Z         >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T08:51:08.2893450Z         >>>
2025-12-04T08:51:08.2893740Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T08:51:08.2894105Z         >>> def _(x, weight, bias):
2025-12-04T08:51:08.2894411Z         >>>     assert x.dim() == 2
2025-12-04T08:51:08.2894724Z         >>>     assert weight.dim() == 2
2025-12-04T08:51:08.2895041Z         >>>     assert bias.dim() == 1
2025-12-04T08:51:08.2895359Z         >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T08:51:08.2895727Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T08:51:08.2896087Z         >>>     assert x.device == weight.device
2025-12-04T08:51:08.2896390Z         >>>
2025-12-04T08:51:08.2896625Z         >>>     return (x @ weight.t()) + bias
2025-12-04T08:51:08.2896928Z         >>>
2025-12-04T08:51:08.2897206Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T08:51:08.2897594Z         >>>     x = torch.randn(2, 3)
2025-12-04T08:51:08.2897899Z         >>>     w = torch.randn(3, 3)
2025-12-04T08:51:08.2898191Z         >>>     b = torch.randn(3)
2025-12-04T08:51:08.2898522Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T08:51:08.2898854Z         >>>
2025-12-04T08:51:08.2899079Z         >>> assert y.shape == (2, 3)
2025-12-04T08:51:08.2899350Z         >>>
2025-12-04T08:51:08.2899643Z         >>> # Example 2: an operator with data-dependent output shape
2025-12-04T08:51:08.2900145Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T08:51:08.2900644Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T08:51:08.2900996Z         >>>     x_np = x.numpy(force=True)
2025-12-04T08:51:08.2901350Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T08:51:08.2901713Z         >>>     return torch.tensor(res, device=x.device)
2025-12-04T08:51:08.2902090Z         >>>
2025-12-04T08:51:08.2902390Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T08:51:08.2902769Z         >>> def _(x):
2025-12-04T08:51:08.2903064Z         >>> # Number of nonzero-elements is data-dependent.
2025-12-04T08:51:08.2903480Z         >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T08:51:08.2903904Z         >>> # we use the ctx object to construct a new symint that
2025-12-04T08:51:08.2904286Z         >>> # represents the data-dependent size.
2025-12-04T08:51:08.2904646Z         >>>     ctx = torch.library.get_ctx()
2025-12-04T08:51:08.2904985Z         >>>     nnz = ctx.new_dynamic_size()
2025-12-04T08:51:08.2905295Z         >>>     shape = [nnz, x.dim()]
2025-12-04T08:51:08.2905650Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T08:51:08.2906013Z         >>>     return result
2025-12-04T08:51:08.2906284Z         >>>
2025-12-04T08:51:08.2906658Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T08:51:08.2907050Z         >>>
2025-12-04T08:51:08.2907295Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T08:51:08.2907816Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T08:51:08.2908292Z         >>> trace.print_readable()
2025-12-04T08:51:08.2908584Z         >>>
2025-12-04T08:51:08.2908916Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T08:51:08.2909270Z 
2025-12-04T08:51:08.2909352Z     
2025-12-04T08:51:08.2909997Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T08:51:08.2910638Z 
2025-12-04T08:51:08.2910737Z _._ = None
2025-12-04T08:51:08.2910930Z ^
2025-12-04T08:51:08.3093995Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530.
2025-12-04T08:51:08.3094846Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:08.3095417Z Returns the computed kernel for a given operator and dispatch key.
2025-12-04T08:51:08.3095738Z 
2025-12-04T08:51:08.3095965Z     This function retrieves the kernel that would be executed for a given
2025-12-04T08:51:08.3096536Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T08:51:08.3097084Z     can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T08:51:08.3097590Z     case for this function is to retrieve the original kernel for a given
2025-12-04T08:51:08.3098136Z     dispatch key and then register another kernel to the same dispatch key
2025-12-04T08:51:08.3098642Z     that calls into the original kernel for certain cases.
2025-12-04T08:51:08.3098911Z 
2025-12-04T08:51:08.3099008Z     Args:
2025-12-04T08:51:08.3099312Z         op: Operator name (along with the overload) or OpOverload object
2025-12-04T08:51:08.3099865Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T08:51:08.3100476Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T08:51:08.3101044Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T08:51:08.3101344Z 
2025-12-04T08:51:08.3101427Z     Returns:
2025-12-04T08:51:08.3101796Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T08:51:08.3102249Z             call the kernel.
2025-12-04T08:51:08.3102422Z 
2025-12-04T08:51:08.3102503Z     Raises:
2025-12-04T08:51:08.3102768Z         RuntimeError: If the operator does not exist.
2025-12-04T08:51:08.3103162Z 
2025-12-04T08:51:08.3103245Z     Example:
2025-12-04T08:51:08.3103494Z         >>> # Get the CPU kernel for torch.add
2025-12-04T08:51:08.3103904Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T08:51:08.3104298Z         >>>
2025-12-04T08:51:08.3104606Z         >>> # You can also use DispatchKey enum
2025-12-04T08:51:08.3105087Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T08:51:08.3105554Z         >>>
2025-12-04T08:51:08.3105795Z         >>> # Or use an OpOverload directly
2025-12-04T08:51:08.3106243Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T08:51:08.3106715Z         >>>
2025-12-04T08:51:08.3107051Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T08:51:08.3107508Z         >>> # Get the original kernel for torch.sin
2025-12-04T08:51:08.3107951Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T08:51:08.3108375Z         >>>
2025-12-04T08:51:08.3108726Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T08:51:08.3109197Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T08:51:08.3109546Z         >>>     if (x < 0).any():
2025-12-04T08:51:08.3109920Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T08:51:08.3110312Z         >>>     else:
2025-12-04T08:51:08.3110563Z         >>>         return torch.zeros_like(x)
2025-12-04T08:51:08.3110961Z         >>>
2025-12-04T08:51:08.3111224Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T08:51:08.3111717Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T08:51:08.3112285Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T08:51:08.3112783Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T08:51:08.3113165Z         >>>
2025-12-04T08:51:08.3113399Z         >>> # Test the conditional behavior
2025-12-04T08:51:08.3113741Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T08:51:08.3114089Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T08:51:08.3114403Z         >>> torch.sin(x_positive)
2025-12-04T08:51:08.3114695Z         tensor([0., 0.])
2025-12-04T08:51:08.3114960Z         >>> torch.sin(x_mixed)
2025-12-04T08:51:08.3115223Z         tensor([-0.8415, 0.9093])
2025-12-04T08:51:08.3115493Z     
2025-12-04T08:51:08.3116093Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T08:51:08.3116677Z 
2025-12-04T08:51:08.3116851Z which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T08:51:08.3117231Z       ^
2025-12-04T08:51:08.6986815Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70.
2025-12-04T08:51:08.6987743Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:08.6988361Z Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T08:51:08.6988944Z     required drivers are available and at least one device is visible.
2025-12-04T08:51:08.6989433Z     See :ref:`accelerator<accelerators>` for details.
2025-12-04T08:51:08.6989686Z 
2025-12-04T08:51:08.6989786Z     Returns:
2025-12-04T08:51:08.6990192Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T08:51:08.6990591Z 
2025-12-04T08:51:08.6990859Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T08:51:08.6991474Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T08:51:08.6992087Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T08:51:08.6992802Z         :ref:`multiprocessing-poison-fork-note`.
2025-12-04T08:51:08.6993065Z 
2025-12-04T08:51:08.6993155Z     Example::
2025-12-04T08:51:08.6993283Z 
2025-12-04T08:51:08.6993557Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:51:08.6994016Z     
2025-12-04T08:51:08.6994759Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T08:51:08.6995440Z 
2025-12-04T08:51:08.6995702Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:51:08.6996178Z                                         ^
2025-12-04T08:51:08.7036324Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239.
2025-12-04T08:51:08.7037276Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:08.7037911Z Wait for all kernels in all streams on the given device to complete.
2025-12-04T08:51:08.7038242Z 
2025-12-04T08:51:08.7038327Z     Args:
2025-12-04T08:51:08.7038769Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T08:51:08.7039424Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T08:51:08.7039973Z             use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T08:51:08.7040296Z 
2025-12-04T08:51:08.7040746Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T08:51:08.7041175Z 
2025-12-04T08:51:08.7043099Z     Example::
2025-12-04T08:51:08.7043237Z 
2025-12-04T08:51:08.7043392Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T08:51:08.7043901Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:51:08.7044438Z         >>> start_event = torch.Event(enable_timing=True)
2025-12-04T08:51:08.7044836Z         >>> end_event = torch.Event(enable_timing=True)
2025-12-04T08:51:08.7045179Z         >>> start_event.record()
2025-12-04T08:51:08.7045616Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T08:51:08.7046088Z         >>> sum = torch.sum(tensor)
2025-12-04T08:51:08.7046536Z         >>> end_event.record()
2025-12-04T08:51:08.7046850Z         >>> torch.accelerator.synchronize()
2025-12-04T08:51:08.7047268Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T08:51:08.7047645Z     
2025-12-04T08:51:08.7048302Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T08:51:08.7048978Z 
2025-12-04T08:51:08.7049230Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:51:08.7049705Z                                         ^
2025-12-04T08:51:08.7496525Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448.
2025-12-04T08:51:08.7497346Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:08.7497829Z Retrieves the CUDA runtime API module.
2025-12-04T08:51:08.7498051Z 
2025-12-04T08:51:08.7498055Z 
2025-12-04T08:51:08.7498316Z     This function initializes the CUDA runtime environment if it is not already
2025-12-04T08:51:08.7498907Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T08:51:08.7499489Z     runtime API module provides access to various CUDA runtime functions.
2025-12-04T08:51:08.7499835Z 
2025-12-04T08:51:08.7499918Z     Args:
2025-12-04T08:51:08.7500125Z         ``None``
2025-12-04T08:51:08.7500257Z 
2025-12-04T08:51:08.7500340Z     Returns:
2025-12-04T08:51:08.7500614Z         module: The CUDA runtime API module (_cudart).
2025-12-04T08:51:08.7500877Z 
2025-12-04T08:51:08.7501154Z     Raises:
2025-12-04T08:51:08.7501508Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T08:51:08.7502196Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T08:51:08.7502682Z 
2025-12-04T08:51:08.7502813Z     Example of CUDA operations with profiling:
2025-12-04T08:51:08.7503220Z         >>> import torch
2025-12-04T08:51:08.7503514Z         >>> from torch.cuda import cudart, check_error
2025-12-04T08:51:08.7503855Z         >>> import os
2025-12-04T08:51:08.7504101Z         >>>
2025-12-04T08:51:08.7504339Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T08:51:08.7504632Z         >>>
2025-12-04T08:51:08.7504890Z         >>> def perform_cuda_operations_with_streams():
2025-12-04T08:51:08.7505257Z         >>>     stream = torch.cuda.Stream()
2025-12-04T08:51:08.7505586Z         >>>     with torch.cuda.stream(stream):
2025-12-04T08:51:08.7505945Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T08:51:08.7506317Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T08:51:08.7506738Z         >>>         z = torch.mul(x, y)
2025-12-04T08:51:08.7507046Z         >>>     return z
2025-12-04T08:51:08.7507299Z         >>>
2025-12-04T08:51:08.7507523Z         >>> torch.cuda.synchronize()
2025-12-04T08:51:08.7507874Z         >>> print("====== Start nsys profiling ======")
2025-12-04T08:51:08.7508264Z         >>> check_error(cudart().cudaProfilerStart())
2025-12-04T08:51:08.7508760Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T08:51:08.7509155Z         >>>     result = perform_cuda_operations_with_streams()
2025-12-04T08:51:08.7509557Z         >>>     print("CUDA operations completed.")
2025-12-04T08:51:08.7509970Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T08:51:08.7510363Z         >>> print("====== End nsys profiling ======")
2025-12-04T08:51:08.7510616Z 
2025-12-04T08:51:08.7510811Z     To run this example and save the profiling information, execute:
2025-12-04T08:51:08.7511500Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T08:51:08.7511968Z 
2025-12-04T08:51:08.7512222Z     This command profiles the CUDA operations in the provided script and saves
2025-12-04T08:51:08.7512764Z     the profiling information to a file named `trace_name.prof`.
2025-12-04T08:51:08.7513319Z     The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T08:51:08.7513821Z     after the `cudaProfilerStart` call in the script.
2025-12-04T08:51:08.7514284Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T08:51:08.7514756Z     CSV file and print a summary, respectively.
2025-12-04T08:51:08.7515240Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T08:51:08.7515755Z     overwrite of the output file if it already exists.
2025-12-04T08:51:08.7516093Z     
2025-12-04T08:51:08.7516853Z 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))
2025-12-04T08:51:08.7517595Z 
2025-12-04T08:51:08.7517943Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T08:51:08.7518493Z ^
2025-12-04T08:51:10.4592324Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-12-04T08:51:10.4593212Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:10.4593574Z 
2025-12-04T08:51:10.4593802Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T08:51:10.4594331Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T08:51:10.4594849Z pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T08:51:10.4595479Z vectorizing those operations.
2025-12-04T08:51:10.4595665Z 
2025-12-04T08:51:10.4595887Z vmap is useful for handling batch dimensions: one can write a function
2025-12-04T08:51:10.4596399Z ``func`` that runs on examples and then lift it to a function that can
2025-12-04T08:51:10.4596929Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T08:51:10.4597496Z compute batched gradients when composed with autograd.
2025-12-04T08:51:10.4597770Z 
2025-12-04T08:51:10.4597902Z .. note::
2025-12-04T08:51:10.4598204Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T08:51:10.4598633Z     convenience. Use whichever one you'd like.
2025-12-04T08:51:10.4598868Z 
2025-12-04T08:51:10.4598964Z Args:
2025-12-04T08:51:10.4599279Z     func (function): A Python function that takes one or more arguments.
2025-12-04T08:51:10.4599717Z         Must return one or more Tensors.
2025-12-04T08:51:10.4600130Z     in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T08:51:10.4600620Z         inputs should be mapped over. ``in_dims`` should have a
2025-12-04T08:51:10.4601089Z         structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T08:51:10.4601580Z         input is None, then that indicates there is no map dimension.
2025-12-04T08:51:10.4601974Z         Default: 0.
2025-12-04T08:51:10.4602302Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T08:51:10.4602810Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T08:51:10.4603379Z         it should have one element per output. Default: 0.
2025-12-04T08:51:10.4603825Z     randomness (str): Specifies whether the randomness in this
2025-12-04T08:51:10.4604335Z         vmap should be the same or different across batches. If 'different',
2025-12-04T08:51:10.4604868Z         the randomness for each batch will be different. If 'same', the
2025-12-04T08:51:10.4605404Z         randomness will be the same across batches. If 'error', any calls to
2025-12-04T08:51:10.4606003Z         random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T08:51:10.4606533Z         only applies to random PyTorch operations and does not apply to
2025-12-04T08:51:10.4606973Z         Python's random module or numpy randomness.
2025-12-04T08:51:10.4607452Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T08:51:10.4608020Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T08:51:10.4608601Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T08:51:10.4609247Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T08:51:10.4609638Z 
2025-12-04T08:51:10.4609720Z Returns:
2025-12-04T08:51:10.4610032Z     Returns a new "batched" function. It takes the same inputs as
2025-12-04T08:51:10.4610498Z     ``func``, except each input has an extra dimension at the index
2025-12-04T08:51:10.4610987Z     specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T08:51:10.4611470Z     ``func``, except each output has an extra dimension at the index
2025-12-04T08:51:10.4611860Z     specified by ``out_dims``.
2025-12-04T08:51:10.4612053Z 
2025-12-04T08:51:10.4612134Z .. warning:
2025-12-04T08:51:10.4612458Z     :func:`vmap` works best with functional-style code. Please do not
2025-12-04T08:51:10.4612962Z     perform any side-effects in ``func``, with the exception of
2025-12-04T08:51:10.4613482Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T08:51:10.4614048Z     Python data structures and assigning values to variables not captured
2025-12-04T08:51:10.4614471Z     in ``func``.
2025-12-04T08:51:10.4614605Z 
2025-12-04T08:51:10.4614833Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T08:51:10.4615397Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T08:51:10.4615990Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T08:51:10.4616317Z 
2025-12-04T08:51:10.4616451Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T08:51:10.4616839Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T08:51:10.4617285Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T08:51:10.4617665Z     >>> batched_dot(x, y)
2025-12-04T08:51:10.4617827Z 
2025-12-04T08:51:10.4618051Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T08:51:10.4618503Z model authoring experience.
2025-12-04T08:51:10.4618695Z 
2025-12-04T08:51:10.4618802Z     >>> batch_size, feature_size = 3, 5
2025-12-04T08:51:10.4619190Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T08:51:10.4619547Z     >>>
2025-12-04T08:51:10.4619770Z     >>> def model(feature_vec):
2025-12-04T08:51:10.4620087Z     >>> # Very simple linear model with activation
2025-12-04T08:51:10.4620441Z     >>>     return feature_vec.dot(weights).relu()
2025-12-04T08:51:10.4620767Z     >>>
2025-12-04T08:51:10.4621032Z     >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T08:51:10.4621399Z     >>> result = torch.vmap(model)(examples)
2025-12-04T08:51:10.4621633Z 
2025-12-04T08:51:10.4621878Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T08:51:10.4622478Z or impossible to batch. One example is higher-order gradient computation.
2025-12-04T08:51:10.4623050Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T08:51:10.4623694Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T08:51:10.4624385Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T08:51:10.4624991Z we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T08:51:10.4625434Z call to ``autograd.grad``.
2025-12-04T08:51:10.4625627Z 
2025-12-04T08:51:10.4625714Z     >>> # Setup
2025-12-04T08:51:10.4625945Z     >>> N = 5
2025-12-04T08:51:10.4626172Z     >>> f = lambda x: x**2
2025-12-04T08:51:10.4626448Z     >>> x = torch.randn(N, requires_grad=True)
2025-12-04T08:51:10.4626855Z     >>> y = f(x)
2025-12-04T08:51:10.4627094Z     >>> I_N = torch.eye(N)
2025-12-04T08:51:10.4627337Z     >>>
2025-12-04T08:51:10.4627563Z     >>> # Sequential approach
2025-12-04T08:51:10.4627964Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T08:51:10.4628395Z     >>>                  for v in I_N.unbind()]
2025-12-04T08:51:10.4628738Z     >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T08:51:10.4629051Z     >>>
2025-12-04T08:51:10.4629268Z     >>> # vectorized gradient computation
2025-12-04T08:51:10.4629584Z     >>> def get_vjp(v):
2025-12-04T08:51:10.4629864Z     >>>     return torch.autograd.grad(y, x, v)
2025-12-04T08:51:10.4630198Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T08:51:10.4630431Z 
2025-12-04T08:51:10.4630687Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T08:51:10.4631083Z 
2025-12-04T08:51:10.4631184Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T08:51:10.4631490Z     >>> batched_dot = torch.vmap(
2025-12-04T08:51:10.4631781Z     ...     torch.vmap(torch.dot)
2025-12-04T08:51:10.4632084Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T08:51:10.4632446Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T08:51:10.4632804Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T08:51:10.4633048Z 
2025-12-04T08:51:10.4633286Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T08:51:10.4633792Z the dimension that each inputs are batched along as
2025-12-04T08:51:10.4634049Z 
2025-12-04T08:51:10.4634161Z     >>> torch.dot  # [N], [N] -> []
2025-12-04T08:51:10.4634620Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T08:51:10.4635105Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T08:51:10.4635572Z     >>> batched_dot(
2025-12-04T08:51:10.4635803Z     ...     x, y
2025-12-04T08:51:10.4636132Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T08:51:10.4636452Z 
2025-12-04T08:51:10.4636707Z If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T08:51:10.4637337Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T08:51:10.4637648Z 
2025-12-04T08:51:10.4637751Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T08:51:10.4638194Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T08:51:10.4638676Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T08:51:10.4638983Z     >>> batched_dot(
2025-12-04T08:51:10.4639222Z     ...     x, y
2025-12-04T08:51:10.4639559Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T08:51:10.4639878Z 
2025-12-04T08:51:10.4640110Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T08:51:10.4640584Z matching the shape of the input:
2025-12-04T08:51:10.4640782Z 
2025-12-04T08:51:10.4640935Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T08:51:10.4641297Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T08:51:10.4641637Z     >>> input = {"x": x, "y": y}
2025-12-04T08:51:10.4642007Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T08:51:10.4642385Z     >>> batched_dot(input)
2025-12-04T08:51:10.4642570Z 
2025-12-04T08:51:10.4642901Z By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T08:51:10.4643426Z along any dimension by using ``out_dims``
2025-12-04T08:51:10.4643650Z 
2025-12-04T08:51:10.4643744Z     >>> f = lambda x: x**2
2025-12-04T08:51:10.4644021Z     >>> x = torch.randn(2, 5)
2025-12-04T08:51:10.4644335Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T08:51:10.4644683Z     >>> batched_pow(x)  # [5, 2]
2025-12-04T08:51:10.4644870Z 
2025-12-04T08:51:10.4645155Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T08:51:10.4645659Z accept kwargs
2025-12-04T08:51:10.4645789Z 
2025-12-04T08:51:10.4645899Z     >>> x = torch.randn([2, 5])
2025-12-04T08:51:10.4646170Z     >>> def fn(x, scale=4.):
2025-12-04T08:51:10.4646714Z     >>>   return x * scale
2025-12-04T08:51:10.4646973Z     >>>
2025-12-04T08:51:10.4647183Z     >>> batched_pow = torch.vmap(fn)
2025-12-04T08:51:10.4647538Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T08:51:10.4648014Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T08:51:10.4648351Z 
2025-12-04T08:51:10.4648456Z .. note::
2025-12-04T08:51:10.4648780Z     vmap does not provide general autobatching or handle variable-length
2025-12-04T08:51:10.4649214Z     sequences out of the box.
2025-12-04T08:51:10.4649393Z 
2025-12-04T08:51:10.4649919Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T08:51:10.4650546Z 
2025-12-04T08:51:10.4650643Z _._ = None
2025-12-04T08:51:10.4650834Z ^
2025-12-04T08:51:10.4651455Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-12-04T08:51:10.4652288Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:10.4652890Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T08:51:10.4653424Z     input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T08:51:10.4653855Z     compute higher-order gradients.
2025-12-04T08:51:10.4654061Z 
2025-12-04T08:51:10.4654158Z     Args:
2025-12-04T08:51:10.4654474Z         func (Callable): A Python function that takes one or more arguments.
2025-12-04T08:51:10.4655065Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T08:51:10.4655876Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T08:51:10.4656366Z             ``(output, aux)``.
2025-12-04T08:51:10.4656814Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T08:51:10.4657468Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T08:51:10.4658002Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T08:51:10.4658506Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T08:51:10.4658777Z 
2025-12-04T08:51:10.4658862Z     Returns:
2025-12-04T08:51:10.4659274Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T08:51:10.4659909Z         the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T08:51:10.4660515Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T08:51:10.4661156Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T08:51:10.4661665Z         respect to each ``argnums`` value is returned.
2025-12-04T08:51:10.4661916Z 
2025-12-04T08:51:10.4662033Z     Example of using ``grad``:
2025-12-04T08:51:10.4662215Z 
2025-12-04T08:51:10.4662311Z         >>> # xdoctest: +SKIP
2025-12-04T08:51:10.4662605Z         >>> from torch.func import grad
2025-12-04T08:51:10.4662921Z         >>> x = torch.randn([])
2025-12-04T08:51:10.4663294Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T08:51:10.4663656Z         >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T08:51:10.4663978Z         >>>
2025-12-04T08:51:10.4664197Z         >>> # Second-order gradients
2025-12-04T08:51:10.4664561Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T08:51:10.4664969Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T08:51:10.4665213Z 
2025-12-04T08:51:10.4665473Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T08:51:10.4665839Z 
2025-12-04T08:51:10.4665936Z         >>> # xdoctest: +SKIP
2025-12-04T08:51:10.4666238Z         >>> from torch.func import grad, vmap
2025-12-04T08:51:10.4666639Z         >>> batch_size, feature_size = 3, 5
2025-12-04T08:51:10.4666933Z         >>>
2025-12-04T08:51:10.4667172Z         >>> def model(weights, feature_vec):
2025-12-04T08:51:10.4667534Z         >>> # Very simple linear model with activation
2025-12-04T08:51:10.4667894Z         >>>     assert feature_vec.dim() == 1
2025-12-04T08:51:10.4668228Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T08:51:10.4668552Z         >>>
2025-12-04T08:51:10.4668806Z         >>> def compute_loss(weights, example, target):
2025-12-04T08:51:10.4669147Z         >>>     y = model(weights, example)
2025-12-04T08:51:10.4669494Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T08:51:10.4669830Z         >>>
2025-12-04T08:51:10.4670113Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T08:51:10.4670551Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T08:51:10.4670930Z         >>> targets = torch.randn(batch_size)
2025-12-04T08:51:10.4671264Z         >>> inputs = (weights, examples, targets)
2025-12-04T08:51:10.4671730Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T08:51:10.4672176Z         ...     *inputs
2025-12-04T08:51:10.4672419Z         ... )
2025-12-04T08:51:10.4672542Z 
2025-12-04T08:51:10.4672714Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T08:51:10.4673011Z 
2025-12-04T08:51:10.4673107Z         >>> # xdoctest: +SKIP
2025-12-04T08:51:10.4673401Z         >>> from torch.func import grad
2025-12-04T08:51:10.4673709Z         >>> def my_loss_func(y, y_pred):
2025-12-04T08:51:10.4674062Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T08:51:10.4674467Z         >>>    loss = loss_per_sample.mean()
2025-12-04T08:51:10.4674820Z         >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T08:51:10.4675129Z         >>>
2025-12-04T08:51:10.4689639Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T08:51:10.4690164Z         >>> y_true = torch.rand(4)
2025-12-04T08:51:10.4690617Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T08:51:10.4690983Z         >>> out = fn(y_true, y_preds)
2025-12-04T08:51:10.4691439Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T08:51:10.4691815Z 
2025-12-04T08:51:10.4691915Z     .. note::
2025-12-04T08:51:10.4692226Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T08:51:10.4692504Z 
2025-12-04T08:51:10.4692666Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T08:51:10.4692920Z 
2025-12-04T08:51:10.4693018Z             >>> # xdoctest: +SKIP
2025-12-04T08:51:10.4693318Z             >>> def f(x):
2025-12-04T08:51:10.4693590Z             >>>     with torch.no_grad():
2025-12-04T08:51:10.4693886Z             >>>         c = x ** 2
2025-12-04T08:51:10.4694180Z             >>>     return x - c
2025-12-04T08:51:10.4694375Z 
2025-12-04T08:51:10.4694567Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T08:51:10.4694880Z 
2025-12-04T08:51:10.4695074Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T08:51:10.4695369Z 
2025-12-04T08:51:10.4695543Z             >>> # xdoctest: +SKIP
2025-12-04T08:51:10.4695847Z             >>> with torch.no_grad():
2025-12-04T08:51:10.4696145Z             >>>     grad(f)(x)
2025-12-04T08:51:10.4696316Z 
2025-12-04T08:51:10.4696548Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T08:51:10.4697095Z         outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T08:51:10.4697652Z         should not depend on the result of a context manager outside of ``f``.
2025-12-04T08:51:10.4697985Z 
2025-12-04T08:51:10.4698078Z     
2025-12-04T08:51:10.4698697Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T08:51:10.4699342Z 
2025-12-04T08:51:10.4699424Z _._ = None
2025-12-04T08:51:10.4699633Z ^
2025-12-04T08:51:13.9425253Z 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=402.
2025-12-04T08:51:13.9426245Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:13.9426837Z Register a FakeTensor implementation for this custom op.
2025-12-04T08:51:13.9427126Z 
2025-12-04T08:51:13.9427387Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T08:51:13.9427754Z 
2025-12-04T08:51:13.9427987Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T08:51:13.9428547Z         specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T08:51:13.9429048Z         Given some input Tensors with certain properties
2025-12-04T08:51:13.9429569Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T08:51:13.9430051Z         the output Tensors are.
2025-12-04T08:51:13.9430250Z 
2025-12-04T08:51:13.9430449Z         Please see :func:`torch.library.register_fake` for more details.
2025-12-04T08:51:13.9430777Z 
2025-12-04T08:51:13.9430865Z         Args:
2025-12-04T08:51:13.9431172Z             fn (Callable): The function to register as the FakeTensor
2025-12-04T08:51:13.9431553Z                 implementation.
2025-12-04T08:51:13.9431749Z 
2025-12-04T08:51:13.9431836Z         Examples:
2025-12-04T08:51:13.9432082Z             >>> import torch
2025-12-04T08:51:13.9432350Z             >>> import numpy as np
2025-12-04T08:51:13.9432664Z             >>> from torch import Tensor
2025-12-04T08:51:13.9433201Z             >>>
2025-12-04T08:51:13.9433514Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T08:51:13.9434046Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T08:51:13.9434553Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T08:51:13.9435106Z             >>>     return (x @ weight.t()) + bias
2025-12-04T08:51:13.9435413Z             >>>
2025-12-04T08:51:13.9435663Z             >>> @linear.register_fake
2025-12-04T08:51:13.9435991Z             >>> def _(x, weight, bias):
2025-12-04T08:51:13.9436292Z             >>>     assert x.dim() == 2
2025-12-04T08:51:13.9436641Z             >>>     assert weight.dim() == 2
2025-12-04T08:51:13.9436974Z             >>>     assert bias.dim() == 1
2025-12-04T08:51:13.9437322Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T08:51:13.9437687Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T08:51:13.9438069Z             >>>     assert x.device == weight.device
2025-12-04T08:51:13.9438459Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T08:51:13.9438799Z             >>>
2025-12-04T08:51:13.9439041Z             >>> x = torch.randn(2, 2)
2025-12-04T08:51:13.9439358Z             >>> weight = torch.randn(2, 2)
2025-12-04T08:51:13.9439666Z             >>> bias = torch.randn(2)
2025-12-04T08:51:13.9440009Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:51:13.9440561Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T08:51:13.9441008Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:51:13.9441486Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T08:51:13.9441940Z             >>>
2025-12-04T08:51:13.9442256Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T08:51:13.9442739Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T08:51:13.9443174Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T08:51:13.9443517Z             >>>     x_np = x.cpu().numpy()
2025-12-04T08:51:13.9443866Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T08:51:13.9444244Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T08:51:13.9444587Z             >>>
2025-12-04T08:51:13.9444839Z             >>> @nonzero.register_fake
2025-12-04T08:51:13.9445133Z             >>> def _(x):
2025-12-04T08:51:13.9445456Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T08:51:13.9445888Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T08:51:13.9446525Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T08:51:13.9446939Z             >>> # represents the data-dependent size.
2025-12-04T08:51:13.9447308Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T08:51:13.9447670Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T08:51:13.9447992Z             >>>     shape = [nnz, x.dim()]
2025-12-04T08:51:13.9448359Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T08:51:13.9448726Z             >>>     return result
2025-12-04T08:51:13.9448990Z             >>>
2025-12-04T08:51:13.9449250Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T08:51:13.9449619Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:51:13.9450012Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T08:51:13.9450417Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:51:13.9450806Z             >>> assert torch.allclose(out, x.nonzero())
2025-12-04T08:51:13.9451044Z 
2025-12-04T08:51:13.9451145Z         
2025-12-04T08:51:13.9451777Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T08:51:13.9452488Z 
2025-12-04T08:51:13.9452573Z _._ = None
2025-12-04T08:51:13.9452791Z ^
2025-12-04T08:51:13.9716840Z 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.
2025-12-04T08:51:13.9717934Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T08:51:13.9718334Z 
2025-12-04T08:51:13.9718560Z Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T08:51:13.9719157Z kernel registration will override any existing fake kernel registrations.
2025-12-04T08:51:13.9719516Z 
2025-12-04T08:51:13.9719739Z The input is a dictionary mapping operator names to a set of operator
2025-12-04T08:51:13.9720284Z profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T08:51:13.9720832Z are a record of the input and output tensor metadata. Based on this
2025-12-04T08:51:13.9721384Z information we will match a given input to the recorded profile, and return
2025-12-04T08:51:13.9721954Z an output with the same metadata as in the recorded profile. If a profile
2025-12-04T08:51:13.9722430Z doesn't exist then an exception will be thrown.
2025-12-04T08:51:13.9722686Z 
2025-12-04T08:51:13.9722908Z The fake kernel generation is considered unsafe because it relies on the
2025-12-04T08:51:13.9723477Z rigid, pre-defined operator profiles that do not account for potential
2025-12-04T08:51:13.9724147Z variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T08:51:13.9724762Z fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T08:51:13.9725375Z possible that data-dependent operations may produce outputs of different
2025-12-04T08:51:13.9725938Z ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T08:51:13.9726489Z are inflexible and unable to accommodate these nuances, making them
2025-12-04T08:51:13.9726917Z potentially unsafe.
2025-12-04T08:51:13.9727065Z 
2025-12-04T08:51:13.9727160Z Args:
2025-12-04T08:51:13.9727482Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T08:51:13.9728022Z         name to a set of operator profiles from which we will generate fake
2025-12-04T08:51:13.9728433Z         kernels.
2025-12-04T08:51:13.9728568Z 
2025-12-04T08:51:13.9728657Z Examples:
2025-12-04T08:51:13.9728792Z 
2025-12-04T08:51:13.9728958Z     >>> # Example: Registering an op-profile from draft-export
2025-12-04T08:51:13.9729335Z     >>> import torch
2025-12-04T08:51:13.9729650Z     >>> from torch.export._draft_export import draft_export
2025-12-04T08:51:13.9729994Z     >>>
2025-12-04T08:51:13.9730313Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T08:51:13.9730728Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T08:51:13.9731044Z     >>>     return x + y
2025-12-04T08:51:13.9731295Z     >>>
2025-12-04T08:51:13.9731519Z     >>> class M(torch.nn.Module):
2025-12-04T08:51:13.9731812Z     >>>     def forward(self, a, b):
2025-12-04T08:51:13.9732160Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T08:51:13.9732513Z     >>>         return res
2025-12-04T08:51:13.9732749Z     >>>
2025-12-04T08:51:13.9733035Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T08:51:13.9733405Z     >>>
2025-12-04T08:51:13.9733814Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T08:51:13.9734339Z     >>>     decomp = ep.run_decompositions()
2025-12-04T08:51:13.9734574Z 
2025-12-04T08:51:13.9734578Z 
2025-12-04T08:51:13.9735042Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T08:51:13.9735621Z 
2025-12-04T08:51:14.6243178Z 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.
2025-12-04T08:51:14.6244650Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:14.6245014Z 
2025-12-04T08:51:14.6245296Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T08:51:14.6245905Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T08:51:14.6246694Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T08:51:14.6247155Z input by the user.
2025-12-04T08:51:14.6247545Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T08:51:14.6248030Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T08:51:14.6248310Z 
2025-12-04T08:51:14.6248433Z Note::
2025-12-04T08:51:14.6248872Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T08:51:14.6249304Z 
2025-12-04T08:51:14.6249399Z Args:
2025-12-04T08:51:14.6249598Z     model (nn.Module):
2025-12-04T08:51:14.6249982Z         The model whose layers will be sparsified. The layers that needs to be
2025-12-04T08:51:14.6250564Z         sparsified should be added separately using the register_layer() function
2025-12-04T08:51:14.6251027Z     aggregate_fn (Optional, Callable):
2025-12-04T08:51:14.6251502Z         default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T08:51:14.6252048Z         specifies how inputs should be aggregated over time.
2025-12-04T08:51:14.6252700Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T08:51:14.6253197Z         Example
2025-12-04T08:51:14.6253518Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T08:51:14.6253931Z             reduce_fn (Optional, Callable):
2025-12-04T08:51:14.6254388Z                 default reduce_fn that is used if not specified while registering the layer.
2025-12-04T08:51:14.6255009Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T08:51:14.6255501Z                 calling agg_fn() on all inputs.
2025-12-04T08:51:14.6255804Z                 Example
2025-12-04T08:51:14.6256159Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T08:51:14.6256587Z             mask_fn (Optional, Callable):
2025-12-04T08:51:14.6257112Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T08:51:14.6257772Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T08:51:14.6258241Z                 register_layer().
2025-12-04T08:51:14.6258775Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T08:51:14.6259324Z                 arguments.
2025-12-04T08:51:14.6259601Z             features (Optional, list):
2025-12-04T08:51:14.6259942Z                 default selected features to sparsify.
2025-12-04T08:51:14.6260453Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T08:51:14.6260920Z                 For example,
2025-12-04T08:51:14.6261346Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T08:51:14.6261832Z             feature_dim (Optional, int):
2025-12-04T08:51:14.6262311Z                 default dimension of input features. Again, features along this dim will be chosen
2025-12-04T08:51:14.6262833Z                 for sparsification.
2025-12-04T08:51:14.6263146Z             sparse_config (Dict):
2025-12-04T08:51:14.6263548Z                 Default configuration for the mask_fn. This config will be passed
2025-12-04T08:51:14.6263989Z                 with the mask_fn()
2025-12-04T08:51:14.6264181Z 
2025-12-04T08:51:14.6264284Z Example:
2025-12-04T08:51:14.6264493Z     >>> # xdoctest: +SKIP
2025-12-04T08:51:14.6264765Z     >>> model = SomeModel()
2025-12-04T08:51:14.6265247Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T08:51:14.6265706Z     >>> # Initialize aggregate_fn
2025-12-04T08:51:14.6266007Z     >>> def agg_fn(x, y):
2025-12-04T08:51:14.6266274Z     >>>     return x + y
2025-12-04T08:51:14.6266578Z     >>>
2025-12-04T08:51:14.6266864Z     >>> # Initialize reduce_fn
2025-12-04T08:51:14.6267152Z     >>> def reduce_fn(x):
2025-12-04T08:51:14.6267416Z     >>>     return torch.mean(x, dim=0)
2025-12-04T08:51:14.6267720Z     >>>
2025-12-04T08:51:14.6267940Z     >>> # Initialize mask_fn
2025-12-04T08:51:14.6268224Z     >>> def mask_fn(data):
2025-12-04T08:51:14.6268522Z     >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T08:51:14.6268858Z     >>>
2025-12-04T08:51:14.6269060Z     >>>
2025-12-04T08:51:14.6269275Z     >>> act_sparsifier.register_layer(
2025-12-04T08:51:14.6269594Z     ...     model.some_layer,
2025-12-04T08:51:14.6269872Z     ...     aggregate_fn=agg_fn,
2025-12-04T08:51:14.6270149Z     ...     reduce_fn=reduce_fn,
2025-12-04T08:51:14.6270432Z     ...     mask_fn=mask_fn,
2025-12-04T08:51:14.6270689Z     ... )
2025-12-04T08:51:14.6270875Z     >>>
2025-12-04T08:51:14.6271091Z     >>> # start training process
2025-12-04T08:51:14.6271372Z     >>> for _ in [...]:
2025-12-04T08:51:14.6271604Z     >>> # epoch starts
2025-12-04T08:51:14.6271931Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T08:51:14.6272304Z     >>> # epoch ends
2025-12-04T08:51:14.6272547Z     >>>     act_sparsifier.step()
2025-12-04T08:51:14.6272938Z     >>> # end training process
2025-12-04T08:51:14.6273237Z     >>> sparsifier.squash_mask()
2025-12-04T08:51:14.6273427Z 
2025-12-04T08:51:14.6273937Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T08:51:14.6274549Z 
2025-12-04T08:51:14.6274631Z _._ = None
2025-12-04T08:51:14.6274844Z ^
2025-12-04T08:51:15.5552063Z 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=547.
2025-12-04T08:51:15.5553072Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:15.5553435Z 
2025-12-04T08:51:15.5553718Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T08:51:15.5554378Z The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T08:51:15.5554840Z ``mesh_dim_names``
2025-12-04T08:51:15.5555005Z 
2025-12-04T08:51:15.5555090Z Args:
2025-12-04T08:51:15.5555445Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T08:51:15.5555972Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T08:51:15.5556357Z Returns:
2025-12-04T08:51:15.5556584Z     A :class:`DeviceMesh` object
2025-12-04T08:51:15.5556771Z 
2025-12-04T08:51:15.5557048Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T08:51:15.5557573Z In the first example:
2025-12-04T08:51:15.5557982Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T08:51:15.5558594Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T08:51:15.5559182Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T08:51:15.5559740Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T08:51:15.5560307Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T08:51:15.5560874Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T08:51:15.5561215Z 
2025-12-04T08:51:15.5561310Z In the second example:
2025-12-04T08:51:15.5561740Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T08:51:15.5562572Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T08:51:15.5563218Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T08:51:15.5563844Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T08:51:15.5564283Z 
2025-12-04T08:51:15.5564399Z Example::
2025-12-04T08:51:15.5564518Z 
2025-12-04T08:51:15.5564637Z     >>> # xdoctest: +SKIP("no rank")
2025-12-04T08:51:15.5565021Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T08:51:15.5565372Z     >>>
2025-12-04T08:51:15.5565685Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T08:51:15.5566140Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T08:51:15.5566629Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T08:51:15.5567106Z     >>> tp_mesh = mesh_2d["tp"]
2025-12-04T08:51:15.5567390Z     >>> dp_mesh = mesh_2d["dp"]
2025-12-04T08:51:15.5567642Z     >>>
2025-12-04T08:51:15.5567857Z     >>> # Initialize a 3D mesh.
2025-12-04T08:51:15.5568312Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T08:51:15.5569004Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T08:51:15.5569520Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T08:51:15.5569939Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T08:51:15.5570149Z 
2025-12-04T08:51:15.5570835Z 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))
2025-12-04T08:51:15.5571607Z 
2025-12-04T08:51:15.5571860Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T08:51:15.5572331Z                                                                                  ^
2025-12-04T08:51:16.1156574Z 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.
2025-12-04T08:51:16.1157551Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:16.1157931Z 
2025-12-04T08:51:16.1158228Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T08:51:16.1158627Z 
2025-12-04T08:51:16.1158926Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T08:51:16.1159353Z 
2025-12-04T08:51:16.1159625Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T08:51:16.1160137Z will be visible to the whole process.
2025-12-04T08:51:16.1160347Z 
2025-12-04T08:51:16.1160633Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T08:51:16.1161029Z 
2025-12-04T08:51:16.1161147Z 1) set_up_planner - called on all ranks.
2025-12-04T08:51:16.1161507Z     Signals the start of a checkpoint save.
2025-12-04T08:51:16.1161748Z 
2025-12-04T08:51:16.1161868Z 2) create_local_plan - called on all ranks.
2025-12-04T08:51:16.1162386Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T08:51:16.1162781Z 
2025-12-04T08:51:16.1162961Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T08:51:16.1163458Z     Takes the SavePlan from all ranks and make any global decision.
2025-12-04T08:51:16.1163767Z 
2025-12-04T08:51:16.1163891Z 4) finish_plan - called on all ranks.
2025-12-04T08:51:16.1164320Z     This gives each rank a chance to adjust to global planning decisions.
2025-12-04T08:51:16.1164655Z 
2025-12-04T08:51:16.1164808Z 5) resolve_data - called multiple times on each rank
2025-12-04T08:51:16.1165276Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T08:51:16.1165764Z 
2025-12-04T08:51:16.1166076Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T08:51:16.1166671Z most changes can be expressed by changes in a single method.
2025-12-04T08:51:16.1166979Z 
2025-12-04T08:51:16.1167100Z There are 3 usual patterns of extension:
2025-12-04T08:51:16.1167432Z 
2025-12-04T08:51:16.1167683Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T08:51:16.1168294Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T08:51:16.1168630Z 
2025-12-04T08:51:16.1168742Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:16.1169098Z >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T08:51:16.1169447Z >>>     def set_up_planner(
2025-12-04T08:51:16.1169698Z >>>         self,
2025-12-04T08:51:16.1169948Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T08:51:16.1170289Z >>>         storage_meta: Optional[StorageMeta],
2025-12-04T08:51:16.1170631Z >>>         is_coordinator: bool,
2025-12-04T08:51:16.1170899Z >>>     ) -> None:
2025-12-04T08:51:16.1171147Z >>> # prefix all keys with `foo_``
2025-12-04T08:51:16.1171662Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T08:51:16.1172063Z 
2025-12-04T08:51:16.1172405Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T08:51:16.1173035Z 
2025-12-04T08:51:16.1173150Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:16.1173617Z >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T08:51:16.1173959Z >>>     def create_local_plan(self):
2025-12-04T08:51:16.1174271Z >>>         plan = super().create_local_plan()
2025-12-04T08:51:16.1174600Z >>>         for p in plan:
2025-12-04T08:51:16.1174892Z >>>             if p.tensor_data is not None:
2025-12-04T08:51:16.1175257Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T08:51:16.1175623Z >>>         return plan
2025-12-04T08:51:16.1175860Z >>>
2025-12-04T08:51:16.1176082Z >>>     def resolve_data(self, write_item):
2025-12-04T08:51:16.1176414Z >>>         item = super().resolve_data(write_item)
2025-12-04T08:51:16.1176923Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T08:51:16.1177309Z 
2025-12-04T08:51:16.1177660Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T08:51:16.1178114Z 
2025-12-04T08:51:16.1178225Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:16.1178558Z >>> from itertools import zip_longest
2025-12-04T08:51:16.1178883Z >>> from dataclasses import replace
2025-12-04T08:51:16.1179258Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T08:51:16.1179791Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T08:51:16.1180316Z >>> # This sample doesn't handle ShardedTensors
2025-12-04T08:51:16.1180688Z >>>     def create_global_plan(self, all_plans):
2025-12-04T08:51:16.1181057Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T08:51:16.1181422Z >>>         items_per_rank = [
2025-12-04T08:51:16.1181747Z >>>             [item for item in items if item is not None]
2025-12-04T08:51:16.1182149Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T08:51:16.1182513Z >>>         ]
2025-12-04T08:51:16.1182742Z >>>         all_plans = [
2025-12-04T08:51:16.1183024Z >>>             replace(plan, items=items)
2025-12-04T08:51:16.1183420Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T08:51:16.1183815Z >>>         ]
2025-12-04T08:51:16.1184089Z >>>         return super().create_global_plan(all_plans)
2025-12-04T08:51:16.1184336Z 
2025-12-04T08:51:16.1184596Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T08:51:16.1185257Z accomplished by having each rank contribute their data items in the local plan and
2025-12-04T08:51:16.1185804Z the global planner aggregate them:
2025-12-04T08:51:16.1186010Z 
2025-12-04T08:51:16.1186138Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:16.1186565Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T08:51:16.1186974Z >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T08:51:16.1187384Z >>>         plan = super().create_local_plan()
2025-12-04T08:51:16.1187763Z >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T08:51:16.1188127Z >>>
2025-12-04T08:51:16.1188544Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T08:51:16.1189142Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T08:51:16.1189617Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T08:51:16.1190058Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T08:51:16.1190454Z >>>         return global_plan, metadata
2025-12-04T08:51:16.1190665Z 
2025-12-04T08:51:16.1191381Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T08:51:16.1192504Z 
2025-12-04T08:51:16.1192588Z _._ = None
2025-12-04T08:51:16.1192802Z ^
2025-12-04T08:51:16.1193537Z 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.
2025-12-04T08:51:16.1194576Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:16.1194932Z 
2025-12-04T08:51:16.1195210Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T08:51:16.1195628Z 
2025-12-04T08:51:16.1195911Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T08:51:16.1196312Z 
2025-12-04T08:51:16.1196601Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T08:51:16.1197116Z will be visible to the whole process.
2025-12-04T08:51:16.1197325Z 
2025-12-04T08:51:16.1197593Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T08:51:16.1197997Z 
2025-12-04T08:51:16.1198110Z 1) set_up_planner - called on all ranks.
2025-12-04T08:51:16.1198462Z     Signals the start of loading a checkpoint.
2025-12-04T08:51:16.1198693Z 
2025-12-04T08:51:16.1198812Z 2) create_local_plan - called on all ranks.
2025-12-04T08:51:16.1199322Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T08:51:16.1199730Z 
2025-12-04T08:51:16.1199907Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T08:51:16.1200395Z     Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T08:51:16.1200698Z 
2025-12-04T08:51:16.1200837Z 4) load_bytes - called multiple times on each rank
2025-12-04T08:51:16.1201260Z     This is called once per non-tensor value in state_dict.
2025-12-04T08:51:16.1201549Z 
2025-12-04T08:51:16.1201767Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T08:51:16.1202287Z     They are called in pair for each Tensor value in state_dict.
2025-12-04T08:51:16.1202573Z 
2025-12-04T08:51:16.1202870Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T08:51:16.1203474Z most changes can be expressed by changes in a single method.
2025-12-04T08:51:16.1203761Z 
2025-12-04T08:51:16.1203903Z There are two usual patterns of extension:
2025-12-04T08:51:16.1204128Z 
2025-12-04T08:51:16.1204391Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T08:51:16.1205035Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T08:51:16.1205620Z to keep a reference to the original state_dict as load happens in place so
2025-12-04T08:51:16.1206093Z we need to be able to perform it in place
2025-12-04T08:51:16.1206357Z 
2025-12-04T08:51:16.1206487Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:16.1206844Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T08:51:16.1207174Z >>>     def set_up_planner(
2025-12-04T08:51:16.1207444Z >>>         self,
2025-12-04T08:51:16.1207700Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T08:51:16.1208050Z >>>         metadata: Metadata,
2025-12-04T08:51:16.1208346Z >>>         is_coordinator: bool,
2025-12-04T08:51:16.1208638Z >>>     ) -> None:
2025-12-04T08:51:16.1208900Z >>>         self.original_state_dict = state_dict
2025-12-04T08:51:16.1209315Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T08:51:16.1209696Z >>>
2025-12-04T08:51:16.1209918Z >>>         if self.flatten_sharded_tensors:
2025-12-04T08:51:16.1210303Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T08:51:16.1210655Z >>>
2025-12-04T08:51:16.1210859Z >>>         if self.flatten_state_dict:
2025-12-04T08:51:16.1211260Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T08:51:16.1211642Z >>>
2025-12-04T08:51:16.1211866Z >>>         self.state_dict = state_dict
2025-12-04T08:51:16.1212173Z >>>         self.metadata = metadata
2025-12-04T08:51:16.1212500Z >>>         self.is_coordinator = is_coordinator
2025-12-04T08:51:16.1212812Z >>>
2025-12-04T08:51:16.1213030Z >>>     def load_bytes(self, read_item, value):
2025-12-04T08:51:16.1213361Z >>> # Remove the "foo_" prefix
2025-12-04T08:51:16.1213923Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T08:51:16.1214355Z 
2025-12-04T08:51:16.1214359Z 
2025-12-04T08:51:16.1214622Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T08:51:16.1214990Z 
2025-12-04T08:51:16.1215102Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:16.1215477Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T08:51:16.1215864Z >>>     def resolve_tensor(self, read_item):
2025-12-04T08:51:16.1216207Z >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T08:51:16.1216599Z >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T08:51:16.1216940Z >>>
2025-12-04T08:51:16.1217167Z >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T08:51:16.1217569Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T08:51:16.1217848Z 
2025-12-04T08:51:16.1218384Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T08:51:16.1219023Z 
2025-12-04T08:51:16.1219121Z _._ = None
2025-12-04T08:51:16.1219315Z ^
2025-12-04T08:51:16.4285332Z 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.
2025-12-04T08:51:16.4286290Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:16.4286674Z 
2025-12-04T08:51:16.4286875Z ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T08:51:16.4287408Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T08:51:16.4287920Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T08:51:16.4288463Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T08:51:16.4288982Z is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T08:51:16.4289386Z follows:
2025-12-04T08:51:16.4289513Z 
2025-12-04T08:51:16.4289653Z     >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T08:51:16.4290113Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T08:51:16.4290597Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T08:51:16.4291041Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T08:51:16.4291580Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T08:51:16.4292215Z     >>>     state = fsdp.state_dict()
2025-12-04T08:51:16.4292640Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T08:51:16.4293212Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T08:51:16.4293841Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T08:51:16.4294298Z     >>> if dist.get_rank() == 0:
2025-12-04T08:51:16.4294677Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T08:51:16.4295116Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T08:51:16.4295467Z     >>>     model.load_state_dict(state_dict)
2025-12-04T08:51:16.4295921Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T08:51:16.4296511Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T08:51:16.4296947Z     >>> fsdp = FSDP(
2025-12-04T08:51:16.4297189Z     ...     model,
2025-12-04T08:51:16.4297459Z     ...     device_id=torch.cuda.current_device(),
2025-12-04T08:51:16.4297792Z     ...     auto_wrap_policy=...,
2025-12-04T08:51:16.4298092Z     ...     sync_module_states=True,
2025-12-04T08:51:16.4298381Z     ... )
2025-12-04T08:51:16.4298708Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T08:51:16.4299033Z 
2025-12-04T08:51:16.4299118Z Attributes:
2025-12-04T08:51:16.4299439Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T08:51:16.4300054Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T08:51:16.4300515Z         ranks save the full state dict. (Default: ``False``)
2025-12-04T08:51:16.4300792Z 
2025-12-04T08:51:16.4301283Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T08:51:16.4301899Z 
2025-12-04T08:51:16.4301985Z _._ = None
2025-12-04T08:51:16.4302191Z ^
2025-12-04T08:51:19.0405158Z 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=437.
2025-12-04T08:51:19.0406144Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:19.0406687Z Register a parametrization to a tensor in a module.
2025-12-04T08:51:19.0406952Z 
2025-12-04T08:51:19.0407238Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T08:51:19.0407902Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T08:51:19.0408559Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T08:51:19.0409228Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T08:51:19.0409630Z 
2025-12-04T08:51:19.0409950Z     The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T08:51:19.0410610Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T08:51:19.0410979Z 
2025-12-04T08:51:19.0411228Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T08:51:19.0411731Z     ``module.parametrizations.weight``.
2025-12-04T08:51:19.0411953Z 
2025-12-04T08:51:19.0412098Z     The original tensor will be accessible under
2025-12-04T08:51:19.0412475Z     ``module.parametrizations.weight.original``.
2025-12-04T08:51:19.0412746Z 
2025-12-04T08:51:19.0413003Z     Parametrizations may be concatenated by registering several parametrizations
2025-12-04T08:51:19.0413487Z     on the same attribute.
2025-12-04T08:51:19.0413658Z 
2025-12-04T08:51:19.0413908Z     The training mode of a registered parametrization is updated on registration
2025-12-04T08:51:19.0414390Z     to match the training mode of the host module
2025-12-04T08:51:19.0414645Z 
2025-12-04T08:51:19.0415168Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T08:51:19.0415716Z     using the context manager :func:`cached`.
2025-12-04T08:51:19.0415941Z 
2025-12-04T08:51:19.0416176Z     A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T08:51:19.0416597Z 
2025-12-04T08:51:19.0416735Z     .. code-block:: python
2025-12-04T08:51:19.0416920Z 
2025-12-04T08:51:19.0417129Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T08:51:19.0417457Z 
2025-12-04T08:51:19.0417729Z     This method is called on the unparametrized tensor when the first parametrization
2025-12-04T08:51:19.0418306Z     is registered to compute the initial value of the original tensor.
2025-12-04T08:51:19.0418932Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T08:51:19.0419370Z 
2025-12-04T08:51:19.0419675Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T08:51:19.0420391Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T08:51:19.0420789Z 
2025-12-04T08:51:19.0421014Z     It is possible for the first parametrization to depend on several inputs.
2025-12-04T08:51:19.0421637Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T08:51:19.0422238Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T08:51:19.0422599Z 
2025-12-04T08:51:19.0423046Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T08:51:19.0423633Z     with names ``original0``, ``original1``,...
2025-12-04T08:51:19.0423870Z 
2025-12-04T08:51:19.0423958Z     .. note::
2025-12-04T08:51:19.0424099Z 
2025-12-04T08:51:19.0424360Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T08:51:19.0424896Z         once to perform a number of consistency checks.
2025-12-04T08:51:19.0425421Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T08:51:19.0425914Z         and nothing will be called otherwise.
2025-12-04T08:51:19.0426153Z 
2025-12-04T08:51:19.0426237Z     .. note::
2025-12-04T08:51:19.0426363Z 
2025-12-04T08:51:19.0426649Z         In most situations, ``right_inverse`` will be a function such that
2025-12-04T08:51:19.0427080Z         ``forward(right_inverse(X)) == X`` (see
2025-12-04T08:51:19.0427610Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T08:51:19.0428264Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T08:51:19.0428738Z         to relax this.
2025-12-04T08:51:19.0428890Z 
2025-12-04T08:51:19.0428977Z     .. warning::
2025-12-04T08:51:19.0429125Z 
2025-12-04T08:51:19.0429393Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T08:51:19.0430045Z         will register a number of new parameters. If such parametrization is registered
2025-12-04T08:51:19.0430687Z         after the optimizer is created, these new parameters will need to be added manually
2025-12-04T08:51:19.0431254Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T08:51:19.0431576Z 
2025-12-04T08:51:19.0431657Z     Args:
2025-12-04T08:51:19.0431987Z         module (nn.Module): module on which to register the parametrization
2025-12-04T08:51:19.0432515Z         tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T08:51:19.0432947Z             the parametrization
2025-12-04T08:51:19.0433335Z         parametrization (nn.Module): the parametrization to register
2025-12-04T08:51:19.0433742Z     Keyword args:
2025-12-04T08:51:19.0434086Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T08:51:19.0434612Z             may change the dtype and shape of the tensor. Default: `False`
2025-12-04T08:51:19.0435261Z             Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T08:51:19.0435754Z             Enable this flag at your own risk.
2025-12-04T08:51:19.0435990Z 
2025-12-04T08:51:19.0436072Z     Raises:
2025-12-04T08:51:19.0436479Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T08:51:19.0436914Z 
2025-12-04T08:51:19.0437009Z     Examples:
2025-12-04T08:51:19.0437274Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T08:51:19.0437626Z         >>> import torch
2025-12-04T08:51:19.0437891Z         >>> import torch.nn as nn
2025-12-04T08:51:19.0438211Z         >>> import torch.nn.utils.parametrize as P
2025-12-04T08:51:19.0438537Z         >>>
2025-12-04T08:51:19.0438767Z         >>> class Symmetric(nn.Module):
2025-12-04T08:51:19.0439072Z         >>>     def forward(self, X):
2025-12-04T08:51:19.0439450Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T08:51:19.0439832Z         >>>
2025-12-04T08:51:19.0440049Z         >>>     def right_inverse(self, A):
2025-12-04T08:51:19.0440369Z         >>>         return A.triu()
2025-12-04T08:51:19.0440651Z         >>>
2025-12-04T08:51:19.0440868Z         >>> m = nn.Linear(5, 5)
2025-12-04T08:51:19.0441209Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T08:51:19.0441729Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T08:51:19.0442182Z         True
2025-12-04T08:51:19.0442470Z         >>> A = torch.rand(5, 5)
2025-12-04T08:51:19.0442776Z         >>> A = A + A.T  # A is now symmetric
2025-12-04T08:51:19.0443187Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T08:51:19.0443612Z         >>> print(torch.allclose(m.weight, A))
2025-12-04T08:51:19.0443929Z         True
2025-12-04T08:51:19.0444049Z 
2025-12-04T08:51:19.0444170Z         >>> class RankOne(nn.Module):
2025-12-04T08:51:19.0444487Z         >>>     def forward(self, x, y):
2025-12-04T08:51:19.0444826Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T08:51:19.0445211Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T08:51:19.0445544Z         >>>
2025-12-04T08:51:19.0445763Z         >>>     def right_inverse(self, Z):
2025-12-04T08:51:19.0446103Z         >>> # Project Z onto the rank 1 matrices
2025-12-04T08:51:19.0446717Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T08:51:19.0447102Z         >>> # Return rescaled singular vectors
2025-12-04T08:51:19.0447459Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T08:51:19.0447843Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T08:51:19.0448183Z         >>>
2025-12-04T08:51:19.0448452Z         >>> linear_rank_one = P.register_parametrization(
2025-12-04T08:51:19.0448832Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T08:51:19.0449155Z         ... )
2025-12-04T08:51:19.0449468Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T08:51:19.0449866Z         1
2025-12-04T08:51:19.0449979Z 
2025-12-04T08:51:19.0450075Z     
2025-12-04T08:51:19.0450702Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T08:51:19.0451346Z 
2025-12-04T08:51:19.0451426Z _._ = None
2025-12-04T08:51:19.0451627Z ^
2025-12-04T08:51:19.1846431Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586.
2025-12-04T08:51:19.1847419Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:19.1847982Z Reduce learning rate when a metric has stopped improving.
2025-12-04T08:51:19.1848290Z 
2025-12-04T08:51:19.1848490Z     Models often benefit from reducing the learning rate by a factor
2025-12-04T08:51:19.1849175Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T08:51:19.1849675Z     quantity and if no improvement is seen for a 'patience' number
2025-12-04T08:51:19.1850098Z     of epochs, the learning rate is reduced.
2025-12-04T08:51:19.1850342Z 
2025-12-04T08:51:19.1850428Z     Args:
2025-12-04T08:51:19.1850745Z         optimizer (Optimizer): Wrapped optimizer.
2025-12-04T08:51:19.1851137Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T08:51:19.1851590Z             be reduced when the quantity monitored has stopped
2025-12-04T08:51:19.1852033Z             decreasing; in `max` mode it will be reduced when the
2025-12-04T08:51:19.1852513Z             quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T08:51:19.1852980Z         factor (float): Factor by which the learning rate will be
2025-12-04T08:51:19.1853411Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T08:51:19.1853880Z         patience (int): The number of allowed epochs with no improvement after
2025-12-04T08:51:19.1854338Z             which the learning rate will be reduced.
2025-12-04T08:51:19.1854810Z             For example, consider the case of having no patience (`patience = 0`).
2025-12-04T08:51:19.1855517Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T08:51:19.1856201Z             In the second epoch, if the performance is worse than the baseline,
2025-12-04T08:51:19.1856769Z             we have what is considered an intolerable epoch.
2025-12-04T08:51:19.1857297Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T08:51:19.1857846Z             the learning rate is reduced at the end of this epoch.
2025-12-04T08:51:19.1858434Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T08:51:19.1859185Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T08:51:19.1859742Z             the learning rate is not adjusted.
2025-12-04T08:51:19.1860069Z             Default: 10.
2025-12-04T08:51:19.1860405Z         threshold (float): Threshold for measuring the new optimum,
2025-12-04T08:51:19.1860865Z             to only focus on significant changes. Default: 1e-4.
2025-12-04T08:51:19.1861308Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T08:51:19.1861745Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T08:51:19.1862167Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T08:51:19.1862579Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T08:51:19.1863029Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T08:51:19.1863482Z         cooldown (int): Number of epochs to wait before resuming
2025-12-04T08:51:19.1863948Z             normal operation after lr has been reduced. Default: 0.
2025-12-04T08:51:19.1864405Z         min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T08:51:19.1864828Z             lower bound on the learning rate of all param groups
2025-12-04T08:51:19.1865239Z             or each group respectively. Default: 0.
2025-12-04T08:51:19.1865659Z         eps (float): Minimal decay applied to lr. If the difference
2025-12-04T08:51:19.1866127Z             between new and old lr is smaller than eps, the update is
2025-12-04T08:51:19.1866578Z             ignored. Default: 1e-8.
2025-12-04T08:51:19.1866799Z 
2025-12-04T08:51:19.1866885Z     Example:
2025-12-04T08:51:19.1867118Z         >>> # xdoctest: +SKIP
2025-12-04T08:51:19.1867513Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T08:51:19.1868020Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T08:51:19.1868398Z         >>> for epoch in range(10):
2025-12-04T08:51:19.1868679Z         >>>     train(...)
2025-12-04T08:51:19.1869003Z         >>>     val_loss = validate(...)
2025-12-04T08:51:19.1869370Z         >>> # Note that step should be called after validate()
2025-12-04T08:51:19.1869757Z         >>>     scheduler.step(val_loss)
2025-12-04T08:51:19.1869968Z 
2025-12-04T08:51:19.1870199Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T08:51:19.1870625Z     
2025-12-04T08:51:19.1871148Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T08:51:19.1871669Z 
2025-12-04T08:51:19.1871776Z     scheduler.step(val_loss)
2025-12-04T08:51:19.1872050Z    ^
2025-12-04T08:51:23.1382583Z running 894 test(s)
2025-12-04T08:51:23.1389072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file
2025-12-04T08:51:23.1402818Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0
2025-12-04T08:51:23.1404173Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file
2025-12-04T08:51:23.1410313Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0
2025-12-04T08:51:23.1411418Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file
2025-12-04T08:51:23.1423446Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0
2025-12-04T08:51:23.1424606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file
2025-12-04T08:51:23.1427073Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0
2025-12-04T08:51:23.1428271Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file
2025-12-04T08:51:23.1430091Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-12-04T08:51:23.1431282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file
2025-12-04T08:51:23.1435666Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0
2025-12-04T08:51:23.1436930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file
2025-12-04T08:51:23.1439210Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-12-04T08:51:23.1440385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file
2025-12-04T08:51:23.1441480Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0
2025-12-04T08:51:23.1444697Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file
2025-12-04T08:51:23.1446692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-12-04T08:51:23.1449163Z * 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
2025-12-04T08:51:23.1450541Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0
2025-12-04T08:51:23.1451851Z * 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
2025-12-04T08:51:23.1453327Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0
2025-12-04T08:51:23.1454536Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-12-04T08:51:23.1455748Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0
2025-12-04T08:51:23.1456840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-12-04T08:51:23.1457914Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0
2025-12-04T08:51:23.1459022Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-12-04T08:51:23.2053493Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-12-04T08:51:23.2054704Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-12-04T08:51:23.2056518Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-12-04T08:51:23.2057908Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file
2025-12-04T08:51:23.2081235Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-12-04T08:51:23.2082518Z * 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
2025-12-04T08:51:23.2126825Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-12-04T08:51:23.2128088Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file
2025-12-04T08:51:23.2417516Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-12-04T08:51:23.2422564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file
2025-12-04T08:51:23.2431381Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-12-04T08:51:23.2432519Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file
2025-12-04T08:51:23.2461867Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0
2025-12-04T08:51:23.2463024Z * 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
2025-12-04T08:51:23.2507449Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-12-04T08:51:23.2509732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file
2025-12-04T08:51:23.2546908Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0
2025-12-04T08:51:23.2549119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-12-04T08:51:23.2587816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-12-04T08:51:23.2590103Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-12-04T08:51:23.2603369Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0
2025-12-04T08:51:23.2605851Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-12-04T08:51:23.2609701Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0
2025-12-04T08:51:23.2611876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-12-04T08:51:23.2640996Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0
2025-12-04T08:51:23.2643094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-12-04T08:51:23.2686869Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0
2025-12-04T08:51:23.2688984Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file
2025-12-04T08:51:23.2806245Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0
2025-12-04T08:51:23.2808425Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file
2025-12-04T08:51:23.2925156Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0
2025-12-04T08:51:23.2927492Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-12-04T08:51:23.2956418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-12-04T08:51:23.2958737Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-12-04T08:51:23.2988176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0
2025-12-04T08:51:23.2990402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-12-04T08:51:23.3004757Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0
2025-12-04T08:51:23.3006958Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-12-04T08:51:23.3035249Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0
2025-12-04T08:51:23.3037346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-12-04T08:51:23.3077179Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0
2025-12-04T08:51:23.3079322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-12-04T08:51:23.3122717Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0
2025-12-04T08:51:23.3124900Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-12-04T08:51:23.3171544Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0
2025-12-04T08:51:23.3173724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-12-04T08:51:23.3231234Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0
2025-12-04T08:51:23.3233365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-12-04T08:51:23.3330353Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0
2025-12-04T08:51:23.3332504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file
2025-12-04T08:51:23.3404541Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0
2025-12-04T08:51:23.3406766Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file
2025-12-04T08:51:23.3409004Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0
2025-12-04T08:51:23.3411342Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file
2025-12-04T08:51:23.3413510Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0
2025-12-04T08:51:23.3415514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file
2025-12-04T08:51:23.3417473Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0
2025-12-04T08:51:23.3419383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file
2025-12-04T08:51:23.3421303Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0
2025-12-04T08:51:23.3423204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file
2025-12-04T08:51:23.3425141Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0
2025-12-04T08:51:23.3427136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file
2025-12-04T08:51:23.3429181Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0
2025-12-04T08:51:23.3431262Z * 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
2025-12-04T08:51:23.3433475Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0
2025-12-04T08:51:23.3435673Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file
2025-12-04T08:51:23.3437937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0
2025-12-04T08:51:23.3440152Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file
2025-12-04T08:51:23.3442342Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0
2025-12-04T08:51:23.3444692Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file
2025-12-04T08:51:23.3447461Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-12-04T08:51:23.3449750Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file
2025-12-04T08:51:23.3451990Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0
2025-12-04T08:51:23.3454068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file
2025-12-04T08:51:23.3479932Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0
2025-12-04T08:51:23.3481892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file
2025-12-04T08:51:23.3517796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0
2025-12-04T08:51:23.3519922Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file
2025-12-04T08:51:23.3522138Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0
2025-12-04T08:51:23.3524321Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file
2025-12-04T08:51:23.3526806Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0
2025-12-04T08:51:23.3529061Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file
2025-12-04T08:51:23.3813575Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0
2025-12-04T08:51:23.3815866Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file
2025-12-04T08:51:23.3942020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0
2025-12-04T08:51:23.3944276Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file
2025-12-04T08:51:23.4199150Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0
2025-12-04T08:51:23.4201284Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file
2025-12-04T08:51:23.4203360Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0
2025-12-04T08:51:23.4205511Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file
2025-12-04T08:51:23.4209098Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0
2025-12-04T08:51:23.4211339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file
2025-12-04T08:51:23.4259677Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0
2025-12-04T08:51:23.4261893Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file
2025-12-04T08:51:23.4265431Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0
2025-12-04T08:51:23.4267707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file
2025-12-04T08:51:23.4270632Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0
2025-12-04T08:51:23.4272918Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file
2025-12-04T08:51:23.4314434Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-12-04T08:51:23.4316675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file
2025-12-04T08:51:23.4328550Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0
2025-12-04T08:51:23.4330650Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-12-04T08:51:23.4332769Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0
2025-12-04T08:51:23.4334930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file
2025-12-04T08:51:23.4337179Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0
2025-12-04T08:51:23.4339521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file
2025-12-04T08:51:23.4341713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0
2025-12-04T08:51:23.4343805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file
2025-12-04T08:51:23.4345930Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0
2025-12-04T08:51:23.4348271Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file
2025-12-04T08:51:23.4350613Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0
2025-12-04T08:51:23.4352671Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file
2025-12-04T08:51:23.4354694Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0
2025-12-04T08:51:23.4356705Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file
2025-12-04T08:51:23.4359858Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0
2025-12-04T08:51:23.4361917Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-12-04T08:51:23.4364081Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0
2025-12-04T08:51:23.4366259Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file
2025-12-04T08:51:23.4368567Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-12-04T08:51:23.4370766Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file
2025-12-04T08:51:23.4385968Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0
2025-12-04T08:51:23.4388787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file
2025-12-04T08:51:23.4397526Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-12-04T08:51:23.4400313Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file
2025-12-04T08:51:23.4408437Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-12-04T08:51:23.4410998Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file
2025-12-04T08:51:23.4413645Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0
2025-12-04T08:51:23.4416137Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file
2025-12-04T08:51:23.4418576Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0
2025-12-04T08:51:23.4421100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file
2025-12-04T08:51:23.4423509Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-12-04T08:51:23.4425929Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file
2025-12-04T08:51:23.9351481Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-12-04T08:51:23.9352759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file
2025-12-04T08:51:23.9353997Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-12-04T08:51:23.9355189Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file
2025-12-04T08:51:23.9356880Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-12-04T08:51:23.9358124Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file
2025-12-04T08:51:23.9361364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-12-04T08:51:23.9362591Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file
2025-12-04T08:51:23.9365951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-12-04T08:51:23.9367390Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file
2025-12-04T08:51:23.9368836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-12-04T08:51:23.9370249Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file
2025-12-04T08:51:23.9371912Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-12-04T08:51:23.9373216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file
2025-12-04T08:51:23.9375359Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-12-04T08:51:23.9376578Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file
2025-12-04T08:51:23.9377766Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0
2025-12-04T08:51:23.9378945Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file
2025-12-04T08:51:23.9380183Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0
2025-12-04T08:51:23.9381364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file
2025-12-04T08:51:23.9382625Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0
2025-12-04T08:51:23.9383964Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file
2025-12-04T08:51:23.9385153Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0
2025-12-04T08:51:23.9386393Z * 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
2025-12-04T08:51:23.9387810Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-12-04T08:51:23.9389084Z * 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
2025-12-04T08:51:23.9390337Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0
2025-12-04T08:51:23.9391584Z * 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
2025-12-04T08:51:23.9392874Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-12-04T08:51:23.9394084Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file
2025-12-04T08:51:23.9395280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0
2025-12-04T08:51:23.9396400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-12-04T08:51:23.9397515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0
2025-12-04T08:51:23.9398734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-12-04T08:51:23.9405386Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-12-04T08:51:23.9406635Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file
2025-12-04T08:51:23.9407817Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0
2025-12-04T08:51:23.9409068Z * 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
2025-12-04T08:51:23.9515853Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-12-04T08:51:23.9518142Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-12-04T08:51:23.9529932Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-12-04T08:51:23.9532052Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-12-04T08:51:23.9632152Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0
2025-12-04T08:51:23.9634548Z * 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
2025-12-04T08:51:23.9643074Z W1204 08:51:23.963000 1512 site-packages/torch/fx/_symbolic_trace.py:53] 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.
2025-12-04T08:51:23.9675619Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-12-04T08:51:23.9678058Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-12-04T08:51:23.9710171Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0
2025-12-04T08:51:23.9712369Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file
2025-12-04T08:51:23.9748365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0
2025-12-04T08:51:23.9750764Z * 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
2025-12-04T08:51:23.9791574Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-12-04T08:51:23.9794117Z * 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
2025-12-04T08:51:24.0036301Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-12-04T08:51:24.0038818Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file
2025-12-04T08:51:24.0041353Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-12-04T08:51:24.0043995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file
2025-12-04T08:51:24.0046935Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-12-04T08:51:24.0050011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file
2025-12-04T08:51:24.0053431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0
2025-12-04T08:51:24.0056613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file
2025-12-04T08:51:24.0059500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-12-04T08:51:24.0062409Z * 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
2025-12-04T08:51:24.0065508Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-12-04T08:51:24.0068341Z * 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
2025-12-04T08:51:24.0070991Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0
2025-12-04T08:51:24.0073506Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file
2025-12-04T08:51:24.0634416Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-12-04T08:51:24.0637037Z * 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
2025-12-04T08:51:24.0639783Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-12-04T08:51:24.0642296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file
2025-12-04T08:51:24.0737402Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-12-04T08:51:24.0739802Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file
2025-12-04T08:51:24.0905950Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-12-04T08:51:24.0908414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file
2025-12-04T08:51:24.3365575Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-12-04T08:51:24.3366869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file
2025-12-04T08:51:24.3515655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-12-04T08:51:24.3516936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file
2025-12-04T08:51:24.3561528Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-12-04T08:51:24.3562849Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file
2025-12-04T08:51:24.3567819Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-12-04T08:51:24.3569118Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file
2025-12-04T08:51:24.3852120Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-12-04T08:51:24.3853601Z * 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
2025-12-04T08:51:24.3858882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-12-04T08:51:24.3860156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-12-04T08:51:24.3861397Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-12-04T08:51:24.3862781Z * 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
2025-12-04T08:51:24.3864324Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-12-04T08:51:24.3866000Z * 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
2025-12-04T08:51:24.3867623Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-12-04T08:51:24.3869054Z * 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
2025-12-04T08:51:24.3870498Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-12-04T08:51:24.3871945Z * 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
2025-12-04T08:51:24.3873455Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-12-04T08:51:24.3874772Z * 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
2025-12-04T08:51:24.3875950Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-12-04T08:51:24.3877457Z * 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
2025-12-04T08:51:24.3878843Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-12-04T08:51:24.3880089Z * 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
2025-12-04T08:51:24.3881256Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0
2025-12-04T08:51:24.3882645Z * 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
2025-12-04T08:51:24.3884265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0
2025-12-04T08:51:24.3885611Z * 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
2025-12-04T08:51:24.3887038Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-12-04T08:51:24.3888327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file
2025-12-04T08:51:24.3889840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-12-04T08:51:24.3891294Z * 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 1845 <- wrt source file
2025-12-04T08:51:24.3892794Z * 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
2025-12-04T08:51:24.3894286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file
2025-12-04T08:51:24.3895696Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-12-04T08:51:24.3897128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file
2025-12-04T08:51:24.3898595Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0
2025-12-04T08:51:24.3899940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file
2025-12-04T08:51:24.3901269Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0
2025-12-04T08:51:24.3902665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file
2025-12-04T08:51:24.3904221Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0
2025-12-04T08:51:24.3905692Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file
2025-12-04T08:51:24.3907241Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0
2025-12-04T08:51:24.3908769Z * 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 105 <- wrt source file
2025-12-04T08:51:24.3910357Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0
2025-12-04T08:51:24.3911873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file
2025-12-04T08:51:24.3913384Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0
2025-12-04T08:51:24.3914891Z * 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 179 <- wrt source file
2025-12-04T08:51:24.3916483Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0
2025-12-04T08:51:24.3918118Z * 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
2025-12-04T08:51:24.3919769Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0
2025-12-04T08:51:24.3921173Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file
2025-12-04T08:51:24.4413376Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-12-04T08:51:24.4414695Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file
2025-12-04T08:51:24.4554299Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-12-04T08:51:24.4555844Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file
2025-12-04T08:51:24.4557410Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-12-04T08:51:24.4559125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file
2025-12-04T08:51:24.4847914Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-12-04T08:51:24.4849432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file
2025-12-04T08:51:24.5105285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-12-04T08:51:24.5106881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file
2025-12-04T08:51:24.5108466Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-12-04T08:51:24.5110013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file
2025-12-04T08:51:24.5111564Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-12-04T08:51:24.5113074Z * 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
2025-12-04T08:51:24.5220409Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-12-04T08:51:24.5221697Z * 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
2025-12-04T08:51:24.5229424Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-12-04T08:51:24.5230632Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file
2025-12-04T08:51:24.5231805Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0
2025-12-04T08:51:24.5232959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file
2025-12-04T08:51:24.5234284Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0
2025-12-04T08:51:24.5235445Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file
2025-12-04T08:51:24.5236721Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0
2025-12-04T08:51:24.5237934Z * 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
2025-12-04T08:51:24.5294265Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-12-04T08:51:24.5295661Z * 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
2025-12-04T08:51:24.5296986Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-12-04T08:51:24.5298282Z * 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
2025-12-04T08:51:24.5377570Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0
2025-12-04T08:51:24.5378997Z * 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
2025-12-04T08:51:24.5381957Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0
2025-12-04T08:51:24.5383330Z * 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
2025-12-04T08:51:24.5487520Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0
2025-12-04T08:51:24.5488872Z * 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
2025-12-04T08:51:24.5589321Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0
2025-12-04T08:51:24.5590666Z * 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
2025-12-04T08:51:24.5681827Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-12-04T08:51:24.5683208Z * 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
2025-12-04T08:51:24.5684706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-12-04T08:51:24.5686155Z * 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
2025-12-04T08:51:24.5740195Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-12-04T08:51:24.5741528Z * 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
2025-12-04T08:51:24.5745916Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-12-04T08:51:24.5747534Z * 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
2025-12-04T08:51:24.5753763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-12-04T08:51:24.5755105Z * 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
2025-12-04T08:51:24.5756328Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-12-04T08:51:24.5757546Z * 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
2025-12-04T08:51:24.5762166Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-12-04T08:51:24.5763462Z * 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
2025-12-04T08:51:24.5765833Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0
2025-12-04T08:51:24.5767079Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-12-04T08:51:24.5768418Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-12-04T08:51:24.5769736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file
2025-12-04T08:51:24.5771212Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0
2025-12-04T08:51:24.5772532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-12-04T08:51:24.5773709Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-12-04T08:51:24.5775125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file
2025-12-04T08:51:24.5776621Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-12-04T08:51:24.5778170Z * 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
2025-12-04T08:51:24.5779802Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-12-04T08:51:24.5781366Z * 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
2025-12-04T08:51:24.5782927Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-12-04T08:51:24.5784482Z * 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
2025-12-04T08:51:24.5786090Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-12-04T08:51:24.5787684Z * 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
2025-12-04T08:51:24.5789297Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-12-04T08:51:24.5790703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file
2025-12-04T08:51:24.5834822Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-12-04T08:51:24.5838703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file
2025-12-04T08:51:24.5922878Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-12-04T08:51:24.5927402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file
2025-12-04T08:51:24.5928867Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-12-04T08:51:24.5930255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file
2025-12-04T08:51:24.5931609Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-12-04T08:51:24.5933179Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file
2025-12-04T08:51:24.5934645Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-12-04T08:51:24.5936094Z * 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
2025-12-04T08:51:24.5937613Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-12-04T08:51:24.5939089Z * 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
2025-12-04T08:51:24.5944613Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-12-04T08:51:24.5946158Z * 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
2025-12-04T08:51:24.5947896Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-12-04T08:51:24.5949421Z * 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
2025-12-04T08:51:24.5951010Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-12-04T08:51:24.5952544Z * 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
2025-12-04T08:51:24.5954117Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-12-04T08:51:24.5955707Z * 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
2025-12-04T08:51:24.5957374Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-12-04T08:51:24.5959114Z * 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
2025-12-04T08:51:24.5960796Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-12-04T08:51:24.5962512Z * 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
2025-12-04T08:51:24.5964224Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-12-04T08:51:24.5965815Z * 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
2025-12-04T08:51:24.5967404Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-12-04T08:51:24.5968941Z * 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
2025-12-04T08:51:24.5970402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-12-04T08:51:24.5971829Z * 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
2025-12-04T08:51:24.5973282Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-12-04T08:51:24.5974644Z * 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
2025-12-04T08:51:24.5976135Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-12-04T08:51:24.5977507Z * 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
2025-12-04T08:51:24.5978931Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-12-04T08:51:24.5981136Z * 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
2025-12-04T08:51:24.5983874Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-12-04T08:51:24.5986491Z * 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
2025-12-04T08:51:24.5989199Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-12-04T08:51:24.5991709Z * 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
2025-12-04T08:51:24.5994268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2025-12-04T08:51:24.5996739Z * 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
2025-12-04T08:51:24.5999269Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-12-04T08:51:24.6001723Z * 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
2025-12-04T08:51:24.6004353Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-12-04T08:51:24.6006945Z * 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
2025-12-04T08:51:24.6009752Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-12-04T08:51:24.6012436Z * 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
2025-12-04T08:51:24.6015190Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-12-04T08:51:24.6017890Z * 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
2025-12-04T08:51:24.6020620Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-12-04T08:51:24.6023347Z * 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
2025-12-04T08:51:24.6026269Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-12-04T08:51:24.6029110Z * 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
2025-12-04T08:51:24.6032009Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-12-04T08:51:24.6034960Z * 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
2025-12-04T08:51:24.6038025Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-12-04T08:51:24.6040986Z * 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
2025-12-04T08:51:24.6043977Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-12-04T08:51:24.6046817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file
2025-12-04T08:51:24.6049421Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-12-04T08:51:24.6051867Z * 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
2025-12-04T08:51:24.6054310Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2025-12-04T08:51:24.6057408Z * 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
2025-12-04T08:51:24.6081885Z * 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
2025-12-04T08:51:24.6085404Z * 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
2025-12-04T08:51:24.6088954Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-12-04T08:51:24.6092052Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file
2025-12-04T08:51:24.6094827Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-12-04T08:51:24.6097626Z * 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
2025-12-04T08:51:24.6100550Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-12-04T08:51:24.6103558Z * 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
2025-12-04T08:51:24.6106761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2025-12-04T08:51:24.6109720Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file
2025-12-04T08:51:24.6112367Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-12-04T08:51:24.6115011Z * 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
2025-12-04T08:51:24.6117828Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-12-04T08:51:24.6120636Z * 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
2025-12-04T08:51:24.6123540Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-12-04T08:51:24.6126385Z * 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
2025-12-04T08:51:24.6129624Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-12-04T08:51:24.6132501Z * 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
2025-12-04T08:51:24.6140081Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-12-04T08:51:24.6142807Z * 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
2025-12-04T08:51:24.6145305Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-12-04T08:51:24.6148033Z * 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
2025-12-04T08:51:24.6150725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-12-04T08:51:24.6153264Z * 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
2025-12-04T08:51:24.6155864Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-12-04T08:51:24.6158366Z * 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
2025-12-04T08:51:24.6160984Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-12-04T08:51:24.6163539Z * 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
2025-12-04T08:51:24.6166194Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-12-04T08:51:24.6168751Z * 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
2025-12-04T08:51:24.6171310Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-12-04T08:51:24.6173954Z * 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
2025-12-04T08:51:24.6176902Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-12-04T08:51:24.6179820Z * 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
2025-12-04T08:51:24.6182895Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-12-04T08:51:24.6185705Z * 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
2025-12-04T08:51:24.6188416Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-12-04T08:51:24.6191089Z * 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
2025-12-04T08:51:24.6193833Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-12-04T08:51:24.6196488Z * 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
2025-12-04T08:51:24.6199146Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-12-04T08:51:24.6201727Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file
2025-12-04T08:51:24.6204325Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-12-04T08:51:24.6206881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file
2025-12-04T08:51:24.6209475Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-12-04T08:51:24.6212069Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file
2025-12-04T08:51:24.6214785Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-12-04T08:51:24.6217384Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file
2025-12-04T08:51:24.6220066Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-12-04T08:51:24.6222626Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file
2025-12-04T08:51:24.6225224Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-12-04T08:51:24.6227771Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file
2025-12-04T08:51:24.6230338Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-12-04T08:51:24.6233068Z * 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
2025-12-04T08:51:24.6236171Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0
2025-12-04T08:51:24.6239137Z * 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
2025-12-04T08:51:24.6242218Z * 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
2025-12-04T08:51:24.6245192Z * 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
2025-12-04T08:51:24.6248269Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-12-04T08:51:24.6251712Z * 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
2025-12-04T08:51:24.6255603Z * 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
2025-12-04T08:51:24.6259483Z * 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
2025-12-04T08:51:24.6263459Z * 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
2025-12-04T08:51:24.6267395Z * 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
2025-12-04T08:51:24.6271367Z * 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
2025-12-04T08:51:24.6275304Z * 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
2025-12-04T08:51:24.6279429Z * 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
2025-12-04T08:51:24.6282891Z * 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
2025-12-04T08:51:24.6286024Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-12-04T08:51:24.6289013Z * 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
2025-12-04T08:51:24.6292044Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-12-04T08:51:24.6294995Z * 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
2025-12-04T08:51:24.6297996Z * 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
2025-12-04T08:51:24.6301118Z * 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
2025-12-04T08:51:24.6304298Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-12-04T08:51:24.6307080Z * 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
2025-12-04T08:51:24.6309586Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-12-04T08:51:24.6311968Z * 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
2025-12-04T08:51:24.6314296Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-12-04T08:51:24.6316620Z * 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
2025-12-04T08:51:24.6319017Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-12-04T08:51:24.6321351Z * 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
2025-12-04T08:51:24.6323731Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-12-04T08:51:24.6326242Z * 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
2025-12-04T08:51:24.6329021Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-12-04T08:51:24.6331714Z * 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
2025-12-04T08:51:24.6334448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-12-04T08:51:24.6337063Z * 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
2025-12-04T08:51:24.6339722Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-12-04T08:51:24.6342435Z * 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
2025-12-04T08:51:24.6345366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-12-04T08:51:24.6348360Z * 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
2025-12-04T08:51:24.6351203Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-12-04T08:51:24.6353726Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file
2025-12-04T08:51:24.6356039Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0
2025-12-04T08:51:24.6358298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file
2025-12-04T08:51:24.6360544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0
2025-12-04T08:51:24.6362883Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file
2025-12-04T08:51:24.6365148Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0
2025-12-04T08:51:24.6367430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file
2025-12-04T08:51:24.6369779Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0
2025-12-04T08:51:24.6372089Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file
2025-12-04T08:51:24.6374437Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0
2025-12-04T08:51:24.6376699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file
2025-12-04T08:51:24.6378983Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0
2025-12-04T08:51:24.6381215Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file
2025-12-04T08:51:24.6383499Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0
2025-12-04T08:51:24.6385695Z * 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
2025-12-04T08:51:24.6387995Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-12-04T08:51:24.6390263Z * 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
2025-12-04T08:51:24.6392613Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-12-04T08:51:24.6394980Z * 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
2025-12-04T08:51:24.6397417Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-12-04T08:51:24.6399904Z * 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
2025-12-04T08:51:24.6402385Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-12-04T08:51:24.6404680Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file
2025-12-04T08:51:24.6406943Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0
2025-12-04T08:51:24.6409251Z * 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
2025-12-04T08:51:24.6411689Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-12-04T08:51:24.6414113Z * 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
2025-12-04T08:51:24.6416632Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-12-04T08:51:24.6419105Z * 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
2025-12-04T08:51:24.6421565Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-12-04T08:51:24.6423880Z * 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
2025-12-04T08:51:24.6426160Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-12-04T08:51:24.6428657Z * 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
2025-12-04T08:51:24.6431314Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-12-04T08:51:24.6433868Z * 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
2025-12-04T08:51:24.6436431Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-12-04T08:51:24.6439019Z * 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
2025-12-04T08:51:24.6441703Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-12-04T08:51:24.6444163Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-12-04T08:51:24.6446613Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0
2025-12-04T08:51:24.6448973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file
2025-12-04T08:51:24.6451440Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0
2025-12-04T08:51:24.6453768Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file
2025-12-04T08:51:24.6456067Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-12-04T08:51:24.6458406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file
2025-12-04T08:51:24.6460766Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-12-04T08:51:24.6463152Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file
2025-12-04T08:51:24.6465573Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0
2025-12-04T08:51:24.6467935Z * 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
2025-12-04T08:51:24.6470226Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-12-04T08:51:24.6472498Z * 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
2025-12-04T08:51:24.6474834Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-12-04T08:51:24.6477008Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file
2025-12-04T08:51:24.6479238Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0
2025-12-04T08:51:24.6481424Z * 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
2025-12-04T08:51:24.6483753Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-12-04T08:51:24.6486040Z * 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
2025-12-04T08:51:24.6488379Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-12-04T08:51:24.6490645Z * 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
2025-12-04T08:51:24.6493002Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-12-04T08:51:24.6495429Z * 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
2025-12-04T08:51:24.6498032Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-12-04T08:51:24.6500385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-12-04T08:51:24.6502586Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0
2025-12-04T08:51:24.6505012Z * 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
2025-12-04T08:51:24.6507811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0
2025-12-04T08:51:24.6510503Z * 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
2025-12-04T08:51:24.6513250Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0
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2025-12-04T08:51:24.6836048Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-12-04T08:51:24.6838803Z * 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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2025-12-04T08:51:24.6864165Z * 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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2025-12-04T08:51:24.6870631Z * 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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2025-12-04T08:51:24.6877148Z * 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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2025-12-04T08:51:24.6883736Z * 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
2025-12-04T08:51:24.6887079Z * 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
2025-12-04T08:51:24.6890311Z * 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
2025-12-04T08:51:24.6893477Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0
2025-12-04T08:51:24.6896628Z * 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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2025-12-04T08:51:24.6903304Z * 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
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2025-12-04T08:51:24.6910514Z * 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
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2025-12-04T08:51:24.6917513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0, line 56 <- wrt source file
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2025-12-04T08:51:24.6924363Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0, line 53 <- wrt source file
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2025-12-04T08:51:24.6931556Z * 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
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2025-12-04T08:51:24.6937838Z * 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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2025-12-04T08:51:24.6944002Z * 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
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2025-12-04T08:51:24.6950446Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file
2025-12-04T08:51:24.6953239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0
2025-12-04T08:51:24.6956126Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1531 <- wrt source file
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2025-12-04T08:51:24.6962061Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1590 <- wrt source file
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2025-12-04T08:51:24.6968035Z * 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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2025-12-04T08:51:24.6973557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0, line 160 <- wrt source file
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2025-12-04T08:51:24.6979011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0, line 275 <- wrt source file
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2025-12-04T08:51:24.6984790Z * 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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2025-12-04T08:51:24.6990976Z * 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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2025-12-04T08:51:24.6997319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0, line 139 <- wrt source file
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2025-12-04T08:51:24.7003679Z * 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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2025-12-04T08:51:24.7010202Z * 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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2025-12-04T08:51:24.7016799Z * 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
2025-12-04T08:51:24.7020097Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0
2025-12-04T08:51:24.7023305Z * 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
2025-12-04T08:51:24.7026719Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0
2025-12-04T08:51:24.7029908Z * 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
2025-12-04T08:51:24.7033071Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0
2025-12-04T08:51:24.7036242Z * 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
2025-12-04T08:51:24.7039409Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0
2025-12-04T08:51:24.7042546Z * 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
2025-12-04T08:51:24.7045697Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0
2025-12-04T08:51:24.7048837Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 140 <- wrt source file
2025-12-04T08:51:24.7051746Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0
2025-12-04T08:51:24.7054391Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0, line 202 <- wrt source file
2025-12-04T08:51:24.7056933Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0
2025-12-04T08:51:24.7059397Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file
2025-12-04T08:51:24.7061905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::StateDictType:0
2025-12-04T08:51:24.7064749Z * 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
2025-12-04T08:51:24.7068029Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0
2025-12-04T08:51:24.7071420Z * 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
2025-12-04T08:51:24.7075028Z * 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
2025-12-04T08:51:24.7078632Z * 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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2025-12-04T08:51:24.7085882Z * 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
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2025-12-04T08:51:24.7093444Z * 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
2025-12-04T08:51:24.7097285Z * 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
2025-12-04T08:51:24.7101097Z * 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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2025-12-04T08:51:24.7108407Z * 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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2025-12-04T08:51:24.7115587Z * 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
2025-12-04T08:51:24.7119305Z * 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
2025-12-04T08:51:24.7122526Z * 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
2025-12-04T08:51:24.7125476Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0
2025-12-04T08:51:24.7128155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 227 <- wrt source file
2025-12-04T08:51:24.7130670Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0
2025-12-04T08:51:24.7133183Z * 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
2025-12-04T08:51:24.7135855Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0
2025-12-04T08:51:24.7138589Z * 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
2025-12-04T08:51:24.7141563Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0
2025-12-04T08:51:24.7144570Z * 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 527 <- wrt source file
2025-12-04T08:51:24.7147924Z * 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
2025-12-04T08:51:24.7150821Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0, line 658 <- wrt source file
2025-12-04T08:51:24.7153575Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0
2025-12-04T08:51:24.7156533Z * 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
2025-12-04T08:51:24.7159823Z * 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
2025-12-04T08:51:24.7163166Z * 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
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2025-12-04T08:51:24.7169437Z * 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
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2025-12-04T08:51:24.7175086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0, line 161 <- wrt source file
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2025-12-04T08:51:24.7180900Z * 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
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2025-12-04T08:51:24.7187021Z * 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
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2025-12-04T08:51:24.7192780Z * 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
2025-12-04T08:51:24.7196011Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0
2025-12-04T08:51:24.7198821Z * 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
2025-12-04T08:51:24.7201378Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0
2025-12-04T08:51:24.7204117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 36 <- wrt source file
2025-12-04T08:51:24.7206977Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0
2025-12-04T08:51:24.7210035Z * 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
2025-12-04T08:51:24.7213139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-12-04T08:51:24.7216176Z * 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
2025-12-04T08:51:24.7219289Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-12-04T08:51:24.7221945Z * 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
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2025-12-04T08:51:24.7226747Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 343 <- wrt source file
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2025-12-04T08:51:24.7231414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0, line 605 <- wrt source file
2025-12-04T08:51:24.7233730Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0
2025-12-04T08:51:24.7236015Z * 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
2025-12-04T08:51:24.7238348Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2025-12-04T08:51:24.7240674Z * 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
2025-12-04T08:51:24.7243041Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-12-04T08:51:24.7245509Z * 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
2025-12-04T08:51:24.7248308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2025-12-04T08:51:24.7251215Z * 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
2025-12-04T08:51:24.7254420Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0
2025-12-04T08:51:24.7257635Z * 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
2025-12-04T08:51:24.7260983Z * 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
2025-12-04T08:51:24.7263871Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 887 <- wrt source file
2025-12-04T08:51:24.7266472Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0
2025-12-04T08:51:24.7269125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0, line 32 <- wrt source file
2025-12-04T08:51:24.7271986Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0
2025-12-04T08:51:24.7275026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._convert_shard_order_to_StridedShard:0, line 165 <- wrt source file
2025-12-04T08:51:24.7278430Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._convert_shard_order_to_StridedShard:0
2025-12-04T08:51:24.7281809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._maybe_convert_StridedShard_to_shard_order:0, line 241 <- wrt source file
2025-12-04T08:51:24.7285299Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._maybe_convert_StridedShard_to_shard_order:0
2025-12-04T08:51:24.7288657Z * 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 461 <- wrt source file
2025-12-04T08:51:24.7291788Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec.format_shard_order_str:0
2025-12-04T08:51:24.7294907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 310 <- wrt source file
2025-12-04T08:51:24.7298058Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0
2025-12-04T08:51:24.7300983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 234 <- wrt source file
2025-12-04T08:51:24.7303853Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0
2025-12-04T08:51:24.7306694Z * 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
2025-12-04T08:51:24.7309577Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0
2025-12-04T08:51:24.7312616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0, line 46 <- wrt source file
2025-12-04T08:51:24.7315878Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0
2025-12-04T08:51:24.7319327Z * 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 30 <- wrt source file
2025-12-04T08:51:24.7323118Z * 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
2025-12-04T08:51:24.7326953Z * 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 102 <- wrt source file
2025-12-04T08:51:24.7330983Z * 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
2025-12-04T08:51:24.7335058Z * 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 213 <- wrt source file
2025-12-04T08:51:24.7339273Z * 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
2025-12-04T08:51:24.7343176Z * 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 339 <- wrt source file
2025-12-04T08:51:24.7347262Z * 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
2025-12-04T08:51:24.7351155Z * 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 397 <- wrt source file
2025-12-04T08:51:24.7355022Z * 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
2025-12-04T08:51:24.7358319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 55 <- wrt source file
2025-12-04T08:51:24.7361188Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2025-12-04T08:51:24.7364048Z * 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
2025-12-04T08:51:24.7367013Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0
2025-12-04T08:51:24.7369821Z * 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
2025-12-04T08:51:24.7372594Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-12-04T08:51:24.7375365Z * 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
2025-12-04T08:51:24.7378244Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-12-04T08:51:24.7381079Z * 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
2025-12-04T08:51:24.7383961Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-12-04T08:51:24.7386817Z * 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
2025-12-04T08:51:24.7389737Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-12-04T08:51:24.7392682Z * 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
2025-12-04T08:51:24.7395652Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0
2025-12-04T08:51:24.7398636Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 614 <- wrt source file
2025-12-04T08:51:24.7401620Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0
2025-12-04T08:51:24.7404596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file
2025-12-04T08:51:24.7407688Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0
2025-12-04T08:51:24.7410421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-12-04T08:51:24.7412907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-12-04T08:51:24.7415317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-12-04T08:51:24.7417578Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0
2025-12-04T08:51:24.7419889Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-12-04T08:51:24.7422300Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0
2025-12-04T08:51:24.7424774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-12-04T08:51:24.7427393Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0
2025-12-04T08:51:24.7429798Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-12-04T08:51:24.7432128Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-12-04T08:51:24.7434339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-12-04T08:51:24.7436568Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0
2025-12-04T08:51:24.7438938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file
2025-12-04T08:51:24.7441479Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-12-04T08:51:24.7444085Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file
2025-12-04T08:51:24.7446964Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-12-04T08:51:24.7449789Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-12-04T08:51:24.7452756Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-12-04T08:51:24.7455481Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file
2025-12-04T08:51:24.7457971Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-12-04T08:51:24.7460532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-12-04T08:51:24.7463127Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0
2025-12-04T08:51:24.7465756Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-12-04T08:51:24.7468536Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-12-04T08:51:24.7470982Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-12-04T08:51:24.7473318Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0
2025-12-04T08:51:24.7476001Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-12-04T08:51:24.7478889Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-12-04T08:51:24.7481511Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-12-04T08:51:24.7483992Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0
2025-12-04T08:51:24.7486362Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-12-04T08:51:24.7488691Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-12-04T08:51:24.7491107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-12-04T08:51:24.7493654Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-12-04T08:51:24.7496133Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-12-04T08:51:24.7498655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-12-04T08:51:24.7501195Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-12-04T08:51:24.7503799Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0
2025-12-04T08:51:24.7506356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-12-04T08:51:24.7509053Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-12-04T08:51:24.7511594Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-12-04T08:51:24.7514242Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-12-04T08:51:24.7516670Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-12-04T08:51:24.7519181Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0
2025-12-04T08:51:24.7521633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-12-04T08:51:24.7524216Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-12-04T08:51:24.7526671Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-12-04T08:51:24.7529139Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-12-04T08:51:24.7531707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-12-04T08:51:24.7534425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-12-04T08:51:24.7537436Z * 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
2025-12-04T08:51:24.7540667Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2025-12-04T08:51:24.7543642Z * 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
2025-12-04T08:51:24.7546693Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2025-12-04T08:51:24.7549383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-12-04T08:51:24.7551953Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-12-04T08:51:24.7554670Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-12-04T08:51:24.7557604Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-12-04T08:51:24.7560173Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-12-04T08:51:24.7562517Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0
2025-12-04T08:51:24.7565047Z * 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
2025-12-04T08:51:24.7567931Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-12-04T08:51:24.7570469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-12-04T08:51:24.7572810Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0
2025-12-04T08:51:24.7575198Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-12-04T08:51:24.7577603Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0
2025-12-04T08:51:24.7580186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file
2025-12-04T08:51:24.7583075Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2025-12-04T08:51:24.7585960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file
2025-12-04T08:51:24.7589079Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2025-12-04T08:51:24.7591768Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-12-04T08:51:24.7594180Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0
2025-12-04T08:51:24.7596660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file
2025-12-04T08:51:24.7599376Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-12-04T08:51:24.7601961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file
2025-12-04T08:51:24.7604613Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-12-04T08:51:24.7607450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file
2025-12-04T08:51:24.7610493Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-12-04T08:51:24.7613170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-12-04T08:51:24.7615533Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0
2025-12-04T08:51:24.7617874Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-12-04T08:51:24.7620298Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-12-04T08:51:24.7622659Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file
2025-12-04T08:51:24.7625105Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-12-04T08:51:24.7627540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-12-04T08:51:24.7629930Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0
2025-12-04T08:51:24.7632242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-12-04T08:51:24.7634616Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0
2025-12-04T08:51:24.7637055Z * 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
2025-12-04T08:51:24.7639609Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0
2025-12-04T08:51:24.7642055Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file
2025-12-04T08:51:24.7644338Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-12-04T08:51:24.7646853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 737 <- wrt source file
2025-12-04T08:51:24.7649463Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-12-04T08:51:24.7651985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 753 <- wrt source file
2025-12-04T08:51:24.7654559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-12-04T08:51:24.7657223Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 837 <- wrt source file
2025-12-04T08:51:24.7659830Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-12-04T08:51:24.7662105Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0, line 104 <- wrt source file
2025-12-04T08:51:24.7664241Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0
2025-12-04T08:51:24.7666565Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 2043 <- wrt source file
2025-12-04T08:51:24.7669009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-12-04T08:51:24.7671387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 2137 <- wrt source file
2025-12-04T08:51:24.7673722Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-12-04T08:51:24.7676015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0, line 75 <- wrt source file
2025-12-04T08:51:24.7678327Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-12-04T08:51:24.7680600Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0, line 519 <- wrt source file
2025-12-04T08:51:24.7682900Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0
2025-12-04T08:51:24.7685255Z * 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
2025-12-04T08:51:24.7687752Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-12-04T08:51:24.7690065Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
2025-12-04T08:51:24.7705962Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0
2025-12-04T08:51:24.7708462Z * 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
2025-12-04T08:51:24.7710778Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-12-04T08:51:24.7713130Z * 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
2025-12-04T08:51:24.7715483Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-12-04T08:51:24.7717716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0, line 300 <- wrt source file
2025-12-04T08:51:24.7719933Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0
2025-12-04T08:51:24.7722108Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0, line 344 <- wrt source file
2025-12-04T08:51:24.7724362Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0
2025-12-04T08:51:24.7726907Z * 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
2025-12-04T08:51:24.7729828Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-12-04T08:51:24.7732529Z * 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
2025-12-04T08:51:24.7735093Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-12-04T08:51:24.7737719Z * 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
2025-12-04T08:51:24.7740564Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-12-04T08:51:24.7743263Z * 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
2025-12-04T08:51:24.7745968Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-12-04T08:51:24.7748778Z * 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
2025-12-04T08:51:24.7751540Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-12-04T08:51:24.7754245Z * 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
2025-12-04T08:51:24.7757004Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-12-04T08:51:24.7759768Z * 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
2025-12-04T08:51:24.7762680Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-12-04T08:51:24.7765570Z * 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
2025-12-04T08:51:24.7768656Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-12-04T08:51:24.7771555Z * 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
2025-12-04T08:51:24.7774537Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-12-04T08:51:24.7777416Z * 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
2025-12-04T08:51:24.7780367Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-12-04T08:51:24.7783248Z * 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
2025-12-04T08:51:24.7786209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-12-04T08:51:24.7789168Z * 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
2025-12-04T08:51:24.7792290Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-12-04T08:51:24.7795250Z * 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
2025-12-04T08:51:24.7798264Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-12-04T08:51:24.7801230Z * 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
2025-12-04T08:51:24.7804272Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-12-04T08:51:24.7807186Z * 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
2025-12-04T08:51:24.7810108Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-12-04T08:51:24.7812965Z * 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
2025-12-04T08:51:24.7815902Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-12-04T08:51:24.7818807Z * 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
2025-12-04T08:51:24.7821777Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0
2025-12-04T08:51:24.7824699Z * 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
2025-12-04T08:51:24.7827739Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0
2025-12-04T08:51:24.7830663Z * 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
2025-12-04T08:51:24.7833654Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0
2025-12-04T08:51:24.7836568Z * 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
2025-12-04T08:51:24.7839583Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0
2025-12-04T08:51:24.7842482Z * 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
2025-12-04T08:51:24.7845398Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-12-04T08:51:24.7848348Z * 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
2025-12-04T08:51:24.7851186Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-12-04T08:51:24.7853887Z * 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
2025-12-04T08:51:24.7856703Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-12-04T08:51:24.7859415Z * 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
2025-12-04T08:51:24.7862197Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-12-04T08:51:24.7864846Z * 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
2025-12-04T08:51:24.7867549Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-12-04T08:51:24.7870243Z * 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
2025-12-04T08:51:24.7873071Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-12-04T08:51:24.7875998Z * 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
2025-12-04T08:51:24.7879103Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-12-04T08:51:24.7882304Z * 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
2025-12-04T08:51:24.7885645Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-12-04T08:51:24.7889023Z * 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
2025-12-04T08:51:24.7892575Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-12-04T08:51:24.7895990Z * 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
2025-12-04T08:51:24.7899551Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-12-04T08:51:24.7903027Z * 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
2025-12-04T08:51:24.7906615Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-12-04T08:51:24.7909994Z * 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
2025-12-04T08:51:24.7913390Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-12-04T08:51:24.7916619Z * 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
2025-12-04T08:51:24.7919856Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-12-04T08:51:24.7923065Z * 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
2025-12-04T08:51:24.7926198Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-12-04T08:51:24.7929320Z * 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
2025-12-04T08:51:24.7932551Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-12-04T08:51:24.7935677Z * 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
2025-12-04T08:51:24.7938802Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-12-04T08:51:24.7941851Z * 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
2025-12-04T08:51:24.7944997Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-12-04T08:51:24.7948297Z * 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
2025-12-04T08:51:24.7951569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-12-04T08:51:24.7954737Z * 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
2025-12-04T08:51:24.7957972Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-12-04T08:51:24.7960869Z * 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
2025-12-04T08:51:24.7963771Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-12-04T08:51:24.7966346Z * 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
2025-12-04T08:51:24.7968780Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-12-04T08:51:24.7971173Z * 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
2025-12-04T08:51:24.7973636Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-12-04T08:51:24.7976580Z * 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
2025-12-04T08:51:24.7980012Z * 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
2025-12-04T08:51:24.7982965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file
2025-12-04T08:51:24.7985719Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-12-04T08:51:24.7988346Z * 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
2025-12-04T08:51:24.7991020Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-12-04T08:51:24.7993710Z * 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
2025-12-04T08:51:24.7996484Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-12-04T08:51:24.7999111Z * 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
2025-12-04T08:51:24.8001662Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-12-04T08:51:24.8004017Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file
2025-12-04T08:51:24.8006213Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0
2025-12-04T08:51:24.8008582Z * 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
2025-12-04T08:51:24.8011173Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-12-04T08:51:24.8013817Z * 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
2025-12-04T08:51:24.8016530Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-12-04T08:51:24.8019205Z * 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
2025-12-04T08:51:25.0225674Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-12-04T08:51:25.0363572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file
2025-12-04T08:51:25.0382611Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-12-04T08:51:25.0385024Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file
2025-12-04T08:51:25.0398113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0
2025-12-04T08:51:25.0400418Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file
2025-12-04T08:51:25.0427729Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0
2025-12-04T08:51:25.0429991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file
2025-12-04T08:51:25.0488484Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0
2025-12-04T08:51:25.0490594Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file
2025-12-04T08:51:25.0519519Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0
2025-12-04T08:51:25.0522020Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file
2025-12-04T08:51:25.0550763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0
2025-12-04T08:51:25.0553381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file
2025-12-04T08:51:25.0576581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-12-04T08:51:25.0579019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file
2025-12-04T08:51:25.0598705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-12-04T08:51:25.0600976Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file
2025-12-04T08:51:25.0616120Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0
2025-12-04T08:51:25.0618089Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-12-04T08:51:25.0642406Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0
2025-12-04T08:51:25.0644573Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-12-04T08:51:25.0651955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-12-04T08:51:25.0654115Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-12-04T08:51:25.0668031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0
2025-12-04T08:51:25.0670169Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-12-04T08:51:25.0677238Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-12-04T08:51:25.0679381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-12-04T08:51:25.0761796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0
2025-12-04T08:51:25.0763959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-12-04T08:51:25.0840883Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-12-04T08:51:25.0843215Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file
2025-12-04T08:51:25.0845882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0
2025-12-04T08:51:25.0848123Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file
2025-12-04T08:51:25.0852895Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0
2025-12-04T08:51:25.0855132Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file
2025-12-04T08:51:25.0859303Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0
2025-12-04T08:51:25.0861356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file
2025-12-04T08:51:25.0869497Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0
2025-12-04T08:51:25.0871923Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file
2025-12-04T08:51:25.0876416Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0
2025-12-04T08:51:25.0878422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file
2025-12-04T08:51:25.0882807Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0
2025-12-04T08:51:25.0884767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file
2025-12-04T08:51:25.0889065Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0
2025-12-04T08:51:25.0891039Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file
2025-12-04T08:51:25.0896705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0
2025-12-04T08:51:25.0898691Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file
2025-12-04T08:51:25.0908130Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0
2025-12-04T08:51:25.0910228Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file
2025-12-04T08:51:25.0915583Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-12-04T08:51:25.0917690Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file
2025-12-04T08:51:25.0922170Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0
2025-12-04T08:51:25.0924304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file
2025-12-04T08:51:25.0929556Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-12-04T08:51:25.0931715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file
2025-12-04T08:51:25.0936602Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-12-04T08:51:25.0938740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file
2025-12-04T08:51:25.0940855Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0
2025-12-04T08:51:25.0942660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file
2025-12-04T08:51:25.0952613Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0
2025-12-04T08:51:25.0955006Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file
2025-12-04T08:51:25.0957392Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-12-04T08:51:25.0959872Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file
2025-12-04T08:51:25.0962668Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0
2025-12-04T08:51:25.0965103Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file
2025-12-04T08:51:25.0967538Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0
2025-12-04T08:51:25.0969925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file
2025-12-04T08:51:25.0972270Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-12-04T08:51:25.0974404Z * 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
2025-12-04T08:51:25.0976438Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0
2025-12-04T08:51:25.0978804Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-12-04T08:51:25.0980938Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-12-04T08:51:25.0982952Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-12-04T08:51:25.0985255Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-12-04T08:51:25.0987575Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-12-04T08:51:25.0994270Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-12-04T08:51:25.0996733Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-12-04T08:51:25.1003726Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-12-04T08:51:25.1006291Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-12-04T08:51:25.1011630Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-12-04T08:51:25.1013902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-12-04T08:51:25.1019773Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-12-04T08:51:25.1022117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-12-04T08:51:25.1028273Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-12-04T08:51:25.1030615Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-12-04T08:51:25.1036241Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-12-04T08:51:25.1038859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-12-04T08:51:25.1045568Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-12-04T08:51:25.1048416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-12-04T08:51:25.1065208Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0
2025-12-04T08:51:25.1067973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-12-04T08:51:25.1074532Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-12-04T08:51:25.1077164Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-12-04T08:51:25.1102234Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0
2025-12-04T08:51:25.1104487Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-12-04T08:51:25.1110564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0
2025-12-04T08:51:25.1112767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-12-04T08:51:25.1117640Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0
2025-12-04T08:51:25.1119783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-12-04T08:51:25.1125503Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0
2025-12-04T08:51:25.1127666Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-12-04T08:51:25.1139269Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0
2025-12-04T08:51:25.1141489Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-12-04T08:51:25.1146928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-12-04T08:51:25.1149211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-12-04T08:51:25.1153969Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-12-04T08:51:25.1156221Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-12-04T08:51:25.1160525Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-12-04T08:51:25.1163138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-12-04T08:51:25.1168139Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-12-04T08:51:25.1170414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-12-04T08:51:25.1175699Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-12-04T08:51:25.1178138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file
2025-12-04T08:51:25.1180662Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-12-04T08:51:25.1182977Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file
2025-12-04T08:51:25.1185190Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-12-04T08:51:25.1187435Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file
2025-12-04T08:51:25.1191260Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-12-04T08:51:25.1193494Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file
2025-12-04T08:51:25.1197261Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-12-04T08:51:25.1199484Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file
2025-12-04T08:51:25.1204679Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-12-04T08:51:25.1207259Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file
2025-12-04T08:51:25.1211356Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-12-04T08:51:25.1213944Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file
2025-12-04T08:51:25.1218755Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-12-04T08:51:25.1221404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file
2025-12-04T08:51:25.1224665Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-12-04T08:51:25.1227405Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file
2025-12-04T08:51:25.1238972Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-12-04T08:51:25.1241229Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file
2025-12-04T08:51:25.1882386Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-12-04T08:51:25.2012857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file
2025-12-04T08:51:25.8273250Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-12-04T08:51:25.9492698Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file
2025-12-04T08:51:25.9495314Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2025-12-04T08:51:25.9498038Z * 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
2025-12-04T08:51:25.9501039Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2025-12-04T08:51:25.9503800Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-12-04T08:51:25.9548850Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-12-04T08:51:25.9551398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-12-04T08:51:25.9553858Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0
2025-12-04T08:51:25.9556375Z * 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
2025-12-04T08:51:25.9565527Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-12-04T08:51:25.9568097Z * 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
2025-12-04T08:51:25.9578385Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-12-04T08:51:25.9580938Z * 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
2025-12-04T08:51:25.9593245Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-12-04T08:51:25.9595690Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file
2025-12-04T08:51:25.9598281Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-12-04T08:51:25.9600690Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file
2025-12-04T08:51:25.9603227Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-12-04T08:51:25.9605657Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file
2025-12-04T08:51:25.9608167Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-12-04T08:51:25.9610620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file
2025-12-04T08:51:25.9613160Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-12-04T08:51:25.9615640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-12-04T08:51:25.9618330Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-12-04T08:51:25.9620827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-12-04T08:51:25.9631667Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-12-04T08:51:25.9634042Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-12-04T08:51:25.9640208Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-12-04T08:51:25.9642518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-12-04T08:51:25.9650561Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-12-04T08:51:25.9652879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-12-04T08:51:25.9718613Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-12-04T08:51:25.9727383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-12-04T08:51:25.9974037Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-12-04T08:51:26.0006371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-12-04T08:51:26.0017210Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-12-04T08:51:26.0019709Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-12-04T08:51:26.0270963Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-12-04T08:51:26.0303229Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file
2025-12-04T08:51:26.0314849Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-12-04T08:51:26.0317126Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file
2025-12-04T08:51:26.0344047Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2025-12-04T08:51:26.0346480Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-12-04T08:51:26.0353648Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0
2025-12-04T08:51:26.0355839Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-12-04T08:51:26.0385454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-12-04T08:51:26.0387931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file
2025-12-04T08:51:26.0420068Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-12-04T08:51:26.0422910Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file
2025-12-04T08:51:26.1064703Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-12-04T08:51:26.1143345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file
2025-12-04T08:51:26.7384275Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-12-04T08:51:26.8368053Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-12-04T08:51:26.8372753Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-12-04T08:51:26.8375072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-12-04T08:51:26.8383589Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0
2025-12-04T08:51:26.8385831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-12-04T08:51:26.8397242Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0
2025-12-04T08:51:26.8399482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-12-04T08:51:26.8511798Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-12-04T08:51:26.8514004Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file
2025-12-04T08:51:26.8527291Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-12-04T08:51:26.8529459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file
2025-12-04T08:51:26.8600673Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-12-04T08:51:26.8603191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file
2025-12-04T08:51:26.8623477Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-12-04T08:51:26.8625981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file
2025-12-04T08:51:26.8661737Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-12-04T08:51:26.8664038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file
2025-12-04T08:51:26.8678141Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-12-04T08:51:26.8680385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file
2025-12-04T08:51:26.8701358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-12-04T08:51:26.8703571Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file
2025-12-04T08:51:26.8715540Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-12-04T08:51:26.8717854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file
2025-12-04T08:51:26.8737388Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-12-04T08:51:26.8739796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file
2025-12-04T08:51:26.8749129Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-12-04T08:51:26.8751625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file
2025-12-04T08:51:26.8765818Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-12-04T08:51:26.8768245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file
2025-12-04T08:51:26.8784635Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-12-04T08:51:26.8787097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file
2025-12-04T08:51:26.8789742Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-12-04T08:51:26.8792191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file
2025-12-04T08:51:26.8818210Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-12-04T08:51:26.8820680Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file
2025-12-04T08:51:26.8834778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-12-04T08:51:26.8837376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file
2025-12-04T08:51:26.8850505Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-12-04T08:51:26.8852997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file
2025-12-04T08:51:26.8891224Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-12-04T08:51:26.8893832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file
2025-12-04T08:51:26.8962070Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2025-12-04T08:51:26.8964523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file
2025-12-04T08:51:26.9037938Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-12-04T08:51:26.9040360Z * 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
2025-12-04T08:51:26.9043193Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-12-04T08:51:26.9045678Z * 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
2025-12-04T08:51:26.9070857Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-12-04T08:51:26.9073161Z * 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
2025-12-04T08:51:26.9083667Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0
2025-12-04T08:51:26.9086040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file
2025-12-04T08:51:26.9088535Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-12-04T08:51:26.9090995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file
2025-12-04T08:51:26.9093526Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-12-04T08:51:26.9096062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file
2025-12-04T08:51:26.9098701Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-12-04T08:51:26.9101190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file
2025-12-04T08:51:26.9103623Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-12-04T08:51:26.9106091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file
2025-12-04T08:51:26.9108693Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-12-04T08:51:26.9111323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file
2025-12-04T08:51:26.9113894Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-12-04T08:51:26.9116442Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file
2025-12-04T08:51:26.9118886Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-12-04T08:51:26.9121348Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file
2025-12-04T08:51:26.9123916Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-12-04T08:51:26.9126499Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-12-04T08:51:26.9244216Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-12-04T08:51:26.9248723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-12-04T08:51:26.9267136Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-12-04T08:51:26.9269610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-12-04T08:51:26.9292623Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-12-04T08:51:26.9295070Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file
2025-12-04T08:51:26.9310517Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-12-04T08:51:26.9312950Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-12-04T08:51:26.9322381Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-12-04T08:51:26.9324649Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file
2025-12-04T08:51:26.9387785Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-12-04T08:51:26.9390108Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file
2025-12-04T08:51:28.1518965Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-12-04T08:51:28.2759531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file
2025-12-04T08:51:28.2775425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-12-04T08:51:28.2777847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file
2025-12-04T08:51:28.2785358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-12-04T08:51:28.2788079Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file
2025-12-04T08:51:28.2867061Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-12-04T08:51:28.2878262Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file
2025-12-04T08:51:28.2888675Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-12-04T08:51:28.2891127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file
2025-12-04T08:51:28.2908237Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-12-04T08:51:28.2910710Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file
2025-12-04T08:51:28.2914880Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-12-04T08:51:28.2917350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file
2025-12-04T08:51:28.2925405Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-12-04T08:51:28.2927894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file
2025-12-04T08:51:28.2946873Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-12-04T08:51:28.2949365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file
2025-12-04T08:51:29.4156712Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-12-04T08:51:29.5196793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file
2025-12-04T08:51:29.5212442Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-12-04T08:51:29.5214790Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file
2025-12-04T08:51:29.5222424Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-12-04T08:51:29.5224754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file
2025-12-04T08:51:29.5303288Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-12-04T08:51:29.5313862Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-12-04T08:51:29.5323090Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-12-04T08:51:29.5325806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-12-04T08:51:29.5345607Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-12-04T08:51:29.5348525Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-12-04T08:51:29.5356029Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-12-04T08:51:29.5358477Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-12-04T08:51:29.5489314Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-12-04T08:51:29.5498542Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-12-04T08:51:30.0458752Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-12-04T08:51:30.0793733Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-12-04T08:51:30.0814094Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-12-04T08:51:30.0816503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file
2025-12-04T08:51:30.0855674Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2025-12-04T08:51:30.0858162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-12-04T08:51:30.2692855Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-12-04T08:51:30.2827062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-12-04T08:51:30.2849358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-12-04T08:51:30.2851703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-12-04T08:51:30.2968980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-12-04T08:51:30.2978606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-12-04T08:51:30.7842766Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-12-04T08:51:30.8277996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-12-04T08:51:30.8404317Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-12-04T08:51:30.8410761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-12-04T08:51:31.0416330Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-12-04T08:51:31.0531051Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file
2025-12-04T08:51:31.0548378Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-12-04T08:51:31.0550716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file
2025-12-04T08:51:31.0714548Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-12-04T08:51:31.0723662Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file
2025-12-04T08:51:31.6786830Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-12-04T08:51:31.7188233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file
2025-12-04T08:51:31.7198907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-12-04T08:51:31.7201474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file
2025-12-04T08:51:31.7213673Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-12-04T08:51:31.7216211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file
2025-12-04T08:51:31.7269152Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-12-04T08:51:31.7271726Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file
2025-12-04T08:51:31.7276254Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-12-04T08:51:31.7278788Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file
2025-12-04T08:51:31.7290538Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-12-04T08:51:31.7293049Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file
2025-12-04T08:51:31.7342242Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-12-04T08:51:31.7344539Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file
2025-12-04T08:51:31.7372300Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-12-04T08:51:31.7374911Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file
2025-12-04T08:51:31.7934231Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-12-04T08:51:31.7936410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file
2025-12-04T08:51:31.8000278Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-12-04T08:51:31.8004796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file
2025-12-04T08:51:31.8028277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-12-04T08:51:31.8030455Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file
2025-12-04T08:51:31.8052505Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-12-04T08:51:31.8054715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file
2025-12-04T08:51:31.8093999Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-12-04T08:51:31.8097269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-12-04T08:51:31.8117955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-12-04T08:51:31.8120430Z * 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
2025-12-04T08:51:31.8126832Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-12-04T08:51:31.8129347Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file
2025-12-04T08:51:31.8152538Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2025-12-04T08:51:31.8155250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file
2025-12-04T08:51:31.8164486Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-12-04T08:51:31.8167057Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file
2025-12-04T08:51:34.3764596Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-12-04T08:51:34.6062607Z * 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
2025-12-04T08:51:34.6064095Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-12-04T08:51:34.6065479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file
2025-12-04T08:51:34.9600383Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-12-04T08:51:35.0358443Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file
2025-12-04T08:51:35.7945351Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-12-04T08:51:35.9396258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file
2025-12-04T08:51:36.0518997Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-12-04T08:51:36.0635220Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file
2025-12-04T08:51:36.2668176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-12-04T08:51:36.2901308Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-12-04T08:51:36.2956341Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-12-04T08:51:36.2958865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-12-04T08:51:36.2987542Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-12-04T08:51:36.2990235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-12-04T08:51:36.3004884Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-12-04T08:51:36.3007531Z * 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
2025-12-04T08:51:36.3010138Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-12-04T08:51:36.3012855Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file
2025-12-04T08:51:36.3015958Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-12-04T08:51:36.3018898Z * 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
2025-12-04T08:51:36.3021913Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-12-04T08:51:36.3024889Z * 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
2025-12-04T08:51:36.3027958Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2025-12-04T08:51:36.3031029Z * 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
2025-12-04T08:51:36.3034257Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-12-04T08:51:36.3037436Z * 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
2025-12-04T08:51:36.3040695Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-12-04T08:51:36.3043985Z * 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
2025-12-04T08:51:36.3047549Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-12-04T08:51:36.3050855Z * 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
2025-12-04T08:51:36.3054143Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2025-12-04T08:51:36.3057140Z * 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
2025-12-04T08:51:36.3059886Z * 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
2025-12-04T08:51:36.3062399Z * 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
2025-12-04T08:51:36.3064627Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0
2025-12-04T08:51:36.3067199Z * 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
2025-12-04T08:51:36.3070141Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2025-12-04T08:51:36.3073046Z * 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
2025-12-04T08:51:36.3076006Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0
2025-12-04T08:51:36.3078822Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file
2025-12-04T08:51:36.3081420Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-12-04T08:51:36.3083949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file
2025-12-04T08:51:36.3086526Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-12-04T08:51:36.3089093Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file
2025-12-04T08:51:36.3091722Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-12-04T08:51:36.3094120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file
2025-12-04T08:51:36.3096407Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0
2025-12-04T08:51:36.3098737Z * 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
2025-12-04T08:51:36.3101190Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-12-04T08:51:36.3103582Z * 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
2025-12-04T08:51:36.3105958Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-12-04T08:51:36.3108407Z * 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
2025-12-04T08:51:36.3110859Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-12-04T08:51:36.3113218Z * 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
2025-12-04T08:51:36.3115578Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0
2025-12-04T08:51:36.3118032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file
2025-12-04T08:51:36.3120525Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2025-12-04T08:51:36.3122971Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file
2025-12-04T08:51:36.3137044Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2025-12-04T08:51:36.3139307Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file
2025-12-04T08:51:36.3148974Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0
2025-12-04T08:51:36.3151168Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file
2025-12-04T08:51:36.3162126Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-12-04T08:51:36.3164448Z * 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
2025-12-04T08:51:36.3196929Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-12-04T08:51:36.3199236Z * 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
2025-12-04T08:51:36.3206908Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-12-04T08:51:36.3209213Z * 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
2025-12-04T08:51:36.3252135Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-12-04T08:51:36.3254438Z * 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
2025-12-04T08:51:36.3265814Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-12-04T08:51:36.3268116Z * 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
2025-12-04T08:51:36.3302399Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-12-04T08:51:36.3304816Z * 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
2025-12-04T08:51:36.3314581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-12-04T08:51:36.3317120Z * 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
2025-12-04T08:51:36.3327756Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-12-04T08:51:36.3330291Z * 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
2025-12-04T08:51:36.3333856Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-12-04T08:51:36.3336506Z * 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
2025-12-04T08:51:36.3363057Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-12-04T08:51:36.3365602Z * 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
2025-12-04T08:51:36.3373596Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-12-04T08:51:36.3376157Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file
2025-12-04T08:51:36.3378787Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-12-04T08:51:36.3381465Z * 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 178 <- wrt source file
2025-12-04T08:51:36.3385242Z * 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
2025-12-04T08:51:36.3388396Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file
2025-12-04T08:51:36.3390706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-12-04T08:51:36.3393036Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file
2025-12-04T08:51:36.3395480Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-12-04T08:51:36.3397769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file
2025-12-04T08:51:36.3400025Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-12-04T08:51:36.3402252Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file
2025-12-04T08:51:36.3404485Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-12-04T08:51:36.3406717Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file
2025-12-04T08:51:36.3409001Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-12-04T08:51:36.3411193Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file
2025-12-04T08:51:36.3413429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-12-04T08:51:36.3415738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file
2025-12-04T08:51:36.3418124Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-12-04T08:51:36.3420338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file
2025-12-04T08:51:36.3422560Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-12-04T08:51:36.3425024Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file
2025-12-04T08:51:36.3427514Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-12-04T08:51:36.3430161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file
2025-12-04T08:51:36.3432393Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-12-04T08:51:36.3434754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file
2025-12-04T08:51:36.3437106Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-12-04T08:51:36.3439055Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file
2025-12-04T08:51:36.3441103Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-12-04T08:51:36.3443828Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file
2025-12-04T08:51:36.3446656Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-12-04T08:51:36.3449407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file
2025-12-04T08:51:36.3452304Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-12-04T08:51:36.3455142Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file
2025-12-04T08:51:36.3457763Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-12-04T08:51:36.3460235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file
2025-12-04T08:51:36.3462486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-12-04T08:51:36.3464716Z * 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
2025-12-04T08:51:36.3467129Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-12-04T08:51:36.3469244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file
2025-12-04T08:51:36.3471300Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2025-12-04T08:51:36.3473328Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file
2025-12-04T08:51:36.3475647Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2025-12-04T08:51:36.3477816Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file
2025-12-04T08:51:36.3480184Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-12-04T08:51:36.3482226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file
2025-12-04T08:51:36.3484198Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0
2025-12-04T08:51:36.3486366Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-12-04T08:51:36.3488502Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-12-04T08:51:36.3490778Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 317 <- wrt source file
2025-12-04T08:51:36.3493427Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-12-04T08:51:36.3495779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file
2025-12-04T08:51:36.3498003Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0
2025-12-04T08:51:36.3500524Z * 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
2025-12-04T08:51:36.3502927Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-12-04T08:51:36.3505140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file
2025-12-04T08:51:36.3567427Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0
2025-12-04T08:51:36.3569607Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-12-04T08:51:36.3571840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0
2025-12-04T08:51:36.3574189Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file
2025-12-04T08:51:36.3576740Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-12-04T08:51:36.3579204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 769 <- wrt source file
2025-12-04T08:51:36.3581783Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-12-04T08:51:36.3584311Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 858 <- wrt source file
2025-12-04T08:51:36.3586884Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-12-04T08:51:36.3589556Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4839 <- wrt source file
2025-12-04T08:51:36.3592429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-12-04T08:51:36.3595182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4853 <- wrt source file
2025-12-04T08:51:36.3597880Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-12-04T08:51:36.3600462Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4883 <- wrt source file
2025-12-04T08:51:36.3603290Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-12-04T08:51:36.3605742Z * 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
2025-12-04T08:51:36.3608355Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-12-04T08:51:36.3610917Z * 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
2025-12-04T08:51:36.3613556Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-12-04T08:51:36.3616447Z * 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 341 <- wrt source file
2025-12-04T08:51:36.3619304Z * 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
2025-12-04T08:51:36.3622315Z * 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
2025-12-04T08:51:36.3630348Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-12-04T08:51:36.3633056Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 159 <- wrt source file
2025-12-04T08:51:36.3635329Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0
2025-12-04T08:51:36.3637602Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 316 <- wrt source file
2025-12-04T08:51:36.3647432Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-12-04T08:51:36.3649692Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file
2025-12-04T08:51:36.3664277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-12-04T08:51:36.3666579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file
2025-12-04T08:51:36.3674700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-12-04T08:51:36.3676962Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file
2025-12-04T08:51:36.3688184Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-12-04T08:51:36.3690422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file
2025-12-04T08:51:36.3698760Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-12-04T08:51:36.3701043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file
2025-12-04T08:51:36.3710563Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-12-04T08:51:36.3712778Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file
2025-12-04T08:51:36.3726043Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-12-04T08:51:36.3728269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file
2025-12-04T08:51:36.3746176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-12-04T08:51:36.3748744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file
2025-12-04T08:51:36.3773218Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-12-04T08:51:36.3775725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file
2025-12-04T08:51:36.3793561Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0
2025-12-04T08:51:36.3795724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file
2025-12-04T08:51:36.3807757Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-12-04T08:51:36.3809898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file
2025-12-04T08:51:36.3822704Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0
2025-12-04T08:51:36.3825118Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file
2025-12-04T08:51:36.3827973Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-12-04T08:51:36.3830703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file
2025-12-04T08:51:36.3833717Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-12-04T08:51:36.3836475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 417 <- wrt source file
2025-12-04T08:51:36.3839108Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-12-04T08:51:36.3841597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 561 <- wrt source file
2025-12-04T08:51:36.3843903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-12-04T08:51:36.3845978Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 763 <- wrt source file
2025-12-04T08:51:36.3848534Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-12-04T08:51:36.3850673Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file
2025-12-04T08:51:36.3853068Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0
2025-12-04T08:51:36.3855536Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file
2025-12-04T08:51:36.3868227Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0
2025-12-04T08:51:36.3870797Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file
2025-12-04T08:51:36.3873190Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2025-12-04T08:51:36.3875532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file
2025-12-04T08:51:36.3878135Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2025-12-04T08:51:36.3880283Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file
2025-12-04T08:51:36.3882641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2025-12-04T08:51:36.3884733Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file
2025-12-04T08:51:36.3886795Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0
2025-12-04T08:51:36.3888810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0, line 1759 <- wrt source file
2025-12-04T08:51:36.3890695Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0
2025-12-04T08:51:36.3892669Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0, line 2032 <- wrt source file
2025-12-04T08:51:36.3894786Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0
2025-12-04T08:51:36.3896769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-12-04T08:51:36.3919933Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-12-04T08:51:36.3922385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file
2025-12-04T08:51:36.3925054Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2025-12-04T08:51:36.3927482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file
2025-12-04T08:51:36.4500442Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-12-04T08:51:36.4503310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-12-04T08:51:36.4520932Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-12-04T08:51:36.4523513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file
2025-12-04T08:51:36.4525864Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-12-04T08:51:36.4528036Z * 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
2025-12-04T08:51:36.4530257Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0
2025-12-04T08:51:36.4532371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file
2025-12-04T08:51:36.4534450Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2025-12-04T08:51:36.4536752Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file
2025-12-04T08:51:36.4539199Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-12-04T08:51:36.4541131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file
2025-12-04T08:51:36.4566783Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-12-04T08:51:36.4569150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file
2025-12-04T08:51:36.4583219Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-12-04T08:51:36.4585617Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file
2025-12-04T08:51:36.4592655Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-12-04T08:51:36.4595080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file
2025-12-04T08:51:36.4604076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-12-04T08:51:36.4606514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file
2025-12-04T08:51:36.4620157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-12-04T08:51:36.4622750Z * 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
2025-12-04T08:51:36.4629228Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-12-04T08:51:36.4631818Z * 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
2025-12-04T08:51:36.4634414Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-12-04T08:51:36.4637229Z * 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
2025-12-04T08:51:36.4640154Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-12-04T08:51:36.4643133Z * 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
2025-12-04T08:51:36.4646097Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-12-04T08:51:36.4648991Z * 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
2025-12-04T08:51:36.4651998Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T08:51:36.4654765Z * 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
2025-12-04T08:51:36.4773706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-12-04T08:51:36.4776631Z * 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
2025-12-04T08:51:36.4779536Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-12-04T08:51:36.4782273Z * 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
2025-12-04T08:51:36.4785045Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-12-04T08:51:36.4788013Z * 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
2025-12-04T08:51:36.4791103Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-12-04T08:51:36.4794120Z * 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
2025-12-04T08:51:36.4797111Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-12-04T08:51:36.4800040Z * 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
2025-12-04T08:51:36.4802975Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-12-04T08:51:36.4805843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file
2025-12-04T08:51:36.4808839Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-12-04T08:51:36.4811779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file
2025-12-04T08:51:36.4814946Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-12-04T08:51:36.4817828Z * 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
2025-12-04T08:51:36.4820883Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-12-04T08:51:36.4823754Z * 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
2025-12-04T08:51:36.4826779Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-12-04T08:51:36.4829650Z * 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
2025-12-04T08:51:36.4843984Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-12-04T08:51:36.4847216Z * 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
2025-12-04T08:51:36.4850268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-12-04T08:51:36.4853109Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file
2025-12-04T08:51:36.4856252Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-12-04T08:51:36.4859167Z * 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
2025-12-04T08:51:36.4862015Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-12-04T08:51:36.4864824Z * 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
2025-12-04T08:51:36.4867516Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-12-04T08:51:36.4870171Z * 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
2025-12-04T08:51:36.4873139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T08:51:36.4875834Z * 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
2025-12-04T08:51:36.4878503Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-12-04T08:51:36.4881199Z * 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
2025-12-04T08:51:36.4883891Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-12-04T08:51:36.4886414Z * 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
2025-12-04T08:51:36.4889147Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-12-04T08:51:36.4891799Z * 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
2025-12-04T08:51:36.4894467Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-12-04T08:51:36.4897029Z * 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
2025-12-04T08:51:36.4899557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-12-04T08:51:36.4902023Z * 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
2025-12-04T08:51:36.4904511Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-12-04T08:51:36.4907142Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file
2025-12-04T08:51:37.1178294Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-12-04T08:51:37.1180967Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file
2025-12-04T08:51:37.1183764Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-12-04T08:51:37.1186410Z * 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
2025-12-04T08:51:37.1189241Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-12-04T08:51:37.1191951Z * 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
2025-12-04T08:51:37.1194766Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-12-04T08:51:37.1197487Z * 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
2025-12-04T08:51:37.1200311Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-12-04T08:51:37.1203032Z * 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
2025-12-04T08:51:37.1205843Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-12-04T08:51:37.1208518Z * 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
2025-12-04T08:51:37.1210661Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-12-04T08:51:37.1213451Z * 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
2025-12-04T08:51:37.1215919Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-12-04T08:51:37.1218572Z * 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
2025-12-04T08:51:37.1221253Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-12-04T08:51:37.1223845Z * 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
2025-12-04T08:51:37.1226478Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-12-04T08:51:37.1229111Z * 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
2025-12-04T08:51:37.1231693Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-12-04T08:51:37.1234445Z * 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
2025-12-04T08:51:37.1236995Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-12-04T08:51:37.1239619Z * 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
2025-12-04T08:51:37.1242232Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-12-04T08:51:37.1244807Z * 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
2025-12-04T08:51:37.1247851Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-12-04T08:51:37.1250690Z * 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
2025-12-04T08:51:37.1253740Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-12-04T08:51:37.1256671Z * 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
2025-12-04T08:51:37.1259747Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-12-04T08:51:37.1262697Z * 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
2025-12-04T08:51:37.1265468Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-12-04T08:51:37.1268137Z * 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
2025-12-04T08:51:37.1270391Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-12-04T08:51:37.1271741Z ============
2025-12-04T08:51:37.1272156Z Finished doctests
2025-12-04T08:51:37.1272503Z 378 / 894 passed
2025-12-04T08:51:37.1272867Z 
2025-12-04T08:51:37.1273327Z === Found 17 parse-time warnings ===
2025-12-04T08:51:37.1274033Z --- Parse Warning: 1 / 17 ---
2025-12-04T08:51:37.1276131Z     /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=368.
2025-12-04T08:51:37.1278043Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1278995Z     Registers the function implementation as the fallback for the given key.
2025-12-04T08:51:37.1279667Z     
2025-12-04T08:51:37.1280188Z             This function only works for a library with global namespace ("_").
2025-12-04T08:51:37.1280835Z     
2025-12-04T08:51:37.1281112Z             Args:
2025-12-04T08:51:37.1281750Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T08:51:37.1282541Z                     to register a fallthrough.
2025-12-04T08:51:37.1283395Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T08:51:37.1284309Z                               the dispatch key that the library was created with.
2025-12-04T08:51:37.1285496Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T08:51:37.1286761Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T08:51:37.1287576Z     
2025-12-04T08:51:37.1287873Z             Example::
2025-12-04T08:51:37.1288230Z     
2025-12-04T08:51:37.1288566Z                 >>> my_lib = Library("_", "IMPL")
2025-12-04T08:51:37.1289097Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T08:51:37.1289682Z                 >>>     # Handle all autocast ops generically
2025-12-04T08:51:37.1290205Z                 >>>     # ...
2025-12-04T08:51:37.1290676Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T08:51:37.1291204Z             
2025-12-04T08:51:37.1292401Z     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))
2025-12-04T08:51:37.1293709Z     
2025-12-04T08:51:37.1294073Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T08:51:37.1294581Z     ^
2025-12-04T08:51:37.1294916Z       warnings.warn(msg)
2025-12-04T08:51:37.1295293Z     
2025-12-04T08:51:37.1295801Z --- Parse Warning: 2 / 17 ---
2025-12-04T08:51:37.1297496Z     /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=958.
2025-12-04T08:51:37.1299365Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1300289Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T08:51:37.1300961Z     
2025-12-04T08:51:37.1301411Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T08:51:37.1301963Z     
2025-12-04T08:51:37.1302527Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T08:51:37.1303440Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T08:51:37.1304309Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T08:51:37.1305079Z         what the properties of the output Tensors are.
2025-12-04T08:51:37.1305587Z     
2025-12-04T08:51:37.1306205Z         The FakeTensor implementation has the same signature as the operator.
2025-12-04T08:51:37.1307153Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T08:51:37.1308003Z         implementation, assume that all Tensor inputs to the operator are
2025-12-04T08:51:37.1308861Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T08:51:37.1309756Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T08:51:37.1310641Z         The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T08:51:37.1311494Z         (and may not directly access the storage or data of any input or
2025-12-04T08:51:37.1312138Z         intermediate Tensors).
2025-12-04T08:51:37.1312561Z     
2025-12-04T08:51:37.1312960Z         This API may be used as a decorator (see examples).
2025-12-04T08:51:37.1313491Z     
2025-12-04T08:51:37.1313857Z         For a detailed guide on custom ops, please see
2025-12-04T08:51:37.1314617Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T08:51:37.1315280Z     
2025-12-04T08:51:37.1315558Z         Args:
2025-12-04T08:51:37.1316091Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T08:51:37.1316816Z             func: Fake tensor implementation.
2025-12-04T08:51:37.1317452Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T08:51:37.1318211Z             allow_override: Flag controlling if we want to override an
2025-12-04T08:51:37.1319091Z                             existing registered fake impl. This is by default off,
2025-12-04T08:51:37.1319812Z                             and will error you're trying to register a fake impl to
2025-12-04T08:51:37.1320522Z                             an operator that already has a fake impl. This also only
2025-12-04T08:51:37.1321228Z                             applies if the custom operator was not created via
2025-12-04T08:51:37.1321951Z                             torch.library.custom_op, as overriding and existing fake
2025-12-04T08:51:37.1322610Z                             impl is already allowed.
2025-12-04T08:51:37.1323082Z     
2025-12-04T08:51:37.1323382Z         Examples:
2025-12-04T08:51:37.1323733Z             >>> import torch
2025-12-04T08:51:37.1324169Z             >>> import numpy as np
2025-12-04T08:51:37.1324640Z             >>> from torch import Tensor
2025-12-04T08:51:37.1325107Z             >>>
2025-12-04T08:51:37.1325591Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T08:51:37.1326407Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T08:51:37.1327246Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T08:51:37.1328034Z             >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T08:51:37.1328634Z             >>>
2025-12-04T08:51:37.1329089Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T08:51:37.1329689Z             >>> def _(x, weight, bias):
2025-12-04T08:51:37.1330153Z             >>>     assert x.dim() == 2
2025-12-04T08:51:37.1330647Z             >>>     assert weight.dim() == 2
2025-12-04T08:51:37.1331148Z             >>>     assert bias.dim() == 1
2025-12-04T08:51:37.1331653Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T08:51:37.1332212Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T08:51:37.1332781Z             >>>     assert x.device == weight.device
2025-12-04T08:51:37.1333257Z             >>>
2025-12-04T08:51:37.1333634Z             >>>     return (x @ weight.t()) + bias
2025-12-04T08:51:37.1334114Z             >>>
2025-12-04T08:51:37.1334557Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T08:51:37.1335166Z             >>>     x = torch.randn(2, 3)
2025-12-04T08:51:37.1335679Z             >>>     w = torch.randn(3, 3)
2025-12-04T08:51:37.1336235Z             >>>     b = torch.randn(3)
2025-12-04T08:51:37.1336766Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T08:51:37.1337292Z             >>>
2025-12-04T08:51:37.1337635Z             >>> assert y.shape == (2, 3)
2025-12-04T08:51:37.1338087Z             >>>
2025-12-04T08:51:37.1338547Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T08:51:37.1339405Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T08:51:37.1340142Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T08:51:37.1340694Z             >>>     x_np = x.numpy(force=True)
2025-12-04T08:51:37.1341232Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T08:51:37.1341831Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T08:51:37.1342358Z             >>>
2025-12-04T08:51:37.1342794Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T08:51:37.1343326Z             >>> def _(x):
2025-12-04T08:51:37.1343774Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T08:51:37.1344420Z             >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T08:51:37.1345059Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T08:51:37.1345757Z             >>> # represents the data-dependent size.
2025-12-04T08:51:37.1346616Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T08:51:37.1347203Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T08:51:37.1348030Z             >>>     shape = [nnz, x.dim()]
2025-12-04T08:51:37.1348691Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T08:51:37.1349338Z             >>>     return result
2025-12-04T08:51:37.1349808Z             >>>
2025-12-04T08:51:37.1350359Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T08:51:37.1351039Z             >>>
2025-12-04T08:51:37.1351455Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T08:51:37.1352311Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T08:51:37.1353159Z             >>> trace.print_readable()
2025-12-04T08:51:37.1353665Z             >>>
2025-12-04T08:51:37.1354183Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T08:51:37.1354830Z     
2025-12-04T08:51:37.1355114Z         
2025-12-04T08:51:37.1356125Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T08:51:37.1357308Z     
2025-12-04T08:51:37.1357632Z     _._ = None
2025-12-04T08:51:37.1357970Z     ^
2025-12-04T08:51:37.1358323Z       warnings.warn(msg)
2025-12-04T08:51:37.1358736Z     
2025-12-04T08:51:37.1359281Z --- Parse Warning: 3 / 17 ---
2025-12-04T08:51:37.1361206Z     /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=1530.
2025-12-04T08:51:37.1363446Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1364529Z     Returns the computed kernel for a given operator and dispatch key.
2025-12-04T08:51:37.1365253Z     
2025-12-04T08:51:37.1365855Z         This function retrieves the kernel that would be executed for a given
2025-12-04T08:51:37.1366916Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T08:51:37.1367894Z         can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T08:51:37.1368844Z         case for this function is to retrieve the original kernel for a given
2025-12-04T08:51:37.1369857Z         dispatch key and then register another kernel to the same dispatch key
2025-12-04T08:51:37.1370778Z         that calls into the original kernel for certain cases.
2025-12-04T08:51:37.1371543Z     
2025-12-04T08:51:37.1371881Z         Args:
2025-12-04T08:51:37.1372452Z             op: Operator name (along with the overload) or OpOverload object
2025-12-04T08:51:37.1373434Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T08:51:37.1374514Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T08:51:37.1375621Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T08:51:37.1376310Z     
2025-12-04T08:51:37.1376655Z         Returns:
2025-12-04T08:51:37.1377326Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T08:51:37.1378163Z                 call the kernel.
2025-12-04T08:51:37.1378605Z     
2025-12-04T08:51:37.1378946Z         Raises:
2025-12-04T08:51:37.1379422Z             RuntimeError: If the operator does not exist.
2025-12-04T08:51:37.1380009Z     
2025-12-04T08:51:37.1380345Z         Example:
2025-12-04T08:51:37.1380796Z             >>> # Get the CPU kernel for torch.add
2025-12-04T08:51:37.1381556Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T08:51:37.1382265Z             >>>
2025-12-04T08:51:37.1382714Z             >>> # You can also use DispatchKey enum
2025-12-04T08:51:37.1383602Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T08:51:37.1384327Z             >>>
2025-12-04T08:51:37.1384692Z             >>> # Or use an OpOverload directly
2025-12-04T08:51:37.1385569Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T08:51:37.1386329Z             >>>
2025-12-04T08:51:37.1387003Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T08:51:37.1387732Z             >>> # Get the original kernel for torch.sin
2025-12-04T08:51:37.1388441Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T08:51:37.1389105Z             >>>
2025-12-04T08:51:37.1389632Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T08:51:37.1390386Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T08:51:37.1390930Z             >>>     if (x < 0).any():
2025-12-04T08:51:37.1391506Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T08:51:37.1392150Z             >>>     else:
2025-12-04T08:51:37.1392630Z             >>>         return torch.zeros_like(x)
2025-12-04T08:51:37.1393190Z             >>>
2025-12-04T08:51:37.1393662Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T08:51:37.1394520Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T08:51:37.1395347Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T08:51:37.1395853Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T08:51:37.1396258Z             >>>
2025-12-04T08:51:37.1396499Z             >>> # Test the conditional behavior
2025-12-04T08:51:37.1396852Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T08:51:37.1397273Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T08:51:37.1397796Z             >>> torch.sin(x_positive)
2025-12-04T08:51:37.1398245Z             tensor([0., 0.])
2025-12-04T08:51:37.1398529Z             >>> torch.sin(x_mixed)
2025-12-04T08:51:37.1398814Z             tensor([-0.8415, 0.9093])
2025-12-04T08:51:37.1399112Z         
2025-12-04T08:51:37.1399721Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T08:51:37.1400399Z     
2025-12-04T08:51:37.1400686Z     which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T08:51:37.1401076Z           ^
2025-12-04T08:51:37.1401305Z       warnings.warn(msg)
2025-12-04T08:51:37.1401632Z     
2025-12-04T08:51:37.1401998Z --- Parse Warning: 4 / 17 ---
2025-12-04T08:51:37.1403138Z     /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=70.
2025-12-04T08:51:37.1404548Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1405158Z     Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T08:51:37.1405757Z         required drivers are available and at least one device is visible.
2025-12-04T08:51:37.1406243Z         See :ref:`accelerator<accelerators>` for details.
2025-12-04T08:51:37.1406594Z     
2025-12-04T08:51:37.1406784Z         Returns:
2025-12-04T08:51:37.1407201Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T08:51:37.1407676Z     
2025-12-04T08:51:37.1408027Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T08:51:37.1408690Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T08:51:37.1409412Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T08:51:37.1409926Z             :ref:`multiprocessing-poison-fork-note`.
2025-12-04T08:51:37.1410252Z     
2025-12-04T08:51:37.1410458Z         Example::
2025-12-04T08:51:37.1410686Z     
2025-12-04T08:51:37.1411135Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:51:37.1411609Z         
2025-12-04T08:51:37.1412290Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T08:51:37.1413020Z     
2025-12-04T08:51:37.1413395Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:51:37.1413876Z                                             ^
2025-12-04T08:51:37.1414186Z       warnings.warn(msg)
2025-12-04T08:51:37.1414425Z     
2025-12-04T08:51:37.1414747Z --- Parse Warning: 5 / 17 ---
2025-12-04T08:51:37.1415882Z     /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=239.
2025-12-04T08:51:37.1417130Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1417701Z     Wait for all kernels in all streams on the given device to complete.
2025-12-04T08:51:37.1418107Z     
2025-12-04T08:51:37.1418303Z         Args:
2025-12-04T08:51:37.1418732Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T08:51:37.1419395Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T08:51:37.1419945Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T08:51:37.1420327Z     
2025-12-04T08:51:37.1420749Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T08:51:37.1421258Z     
2025-12-04T08:51:37.1421461Z         Example::
2025-12-04T08:51:37.1421673Z     
2025-12-04T08:51:37.1421926Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T08:51:37.1422454Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:51:37.1422971Z             >>> start_event = torch.Event(enable_timing=True)
2025-12-04T08:51:37.1423370Z             >>> end_event = torch.Event(enable_timing=True)
2025-12-04T08:51:37.1423730Z             >>> start_event.record()
2025-12-04T08:51:37.1424157Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T08:51:37.1424662Z             >>> sum = torch.sum(tensor)
2025-12-04T08:51:37.1424974Z             >>> end_event.record()
2025-12-04T08:51:37.1425303Z             >>> torch.accelerator.synchronize()
2025-12-04T08:51:37.1425700Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T08:51:37.1426071Z         
2025-12-04T08:51:37.1426862Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T08:51:37.1427603Z     
2025-12-04T08:51:37.1427981Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:51:37.1428462Z                                             ^
2025-12-04T08:51:37.1428760Z       warnings.warn(msg)
2025-12-04T08:51:37.1429009Z     
2025-12-04T08:51:37.1429317Z --- Parse Warning: 6 / 17 ---
2025-12-04T08:51:37.1430503Z     /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.
2025-12-04T08:51:37.1431687Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1432167Z     Retrieves the CUDA runtime API module.
2025-12-04T08:51:37.1432476Z     
2025-12-04T08:51:37.1432654Z     
2025-12-04T08:51:37.1433011Z         This function initializes the CUDA runtime environment if it is not already
2025-12-04T08:51:37.1433687Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T08:51:37.1434261Z         runtime API module provides access to various CUDA runtime functions.
2025-12-04T08:51:37.1434671Z     
2025-12-04T08:51:37.1434871Z         Args:
2025-12-04T08:51:37.1435092Z             ``None``
2025-12-04T08:51:37.1435307Z     
2025-12-04T08:51:37.1435508Z         Returns:
2025-12-04T08:51:37.1435790Z             module: The CUDA runtime API module (_cudart).
2025-12-04T08:51:37.1436119Z     
2025-12-04T08:51:37.1436318Z         Raises:
2025-12-04T08:51:37.1436688Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T08:51:37.1437382Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T08:51:37.1437948Z     
2025-12-04T08:51:37.1438198Z         Example of CUDA operations with profiling:
2025-12-04T08:51:37.1438531Z             >>> import torch
2025-12-04T08:51:37.1438845Z             >>> from torch.cuda import cudart, check_error
2025-12-04T08:51:37.1439192Z             >>> import os
2025-12-04T08:51:37.1439442Z             >>>
2025-12-04T08:51:37.1439677Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T08:51:37.1439991Z             >>>
2025-12-04T08:51:37.1440263Z             >>> def perform_cuda_operations_with_streams():
2025-12-04T08:51:37.1440635Z             >>>     stream = torch.cuda.Stream()
2025-12-04T08:51:37.1440995Z             >>>     with torch.cuda.stream(stream):
2025-12-04T08:51:37.1441370Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T08:51:37.1441733Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T08:51:37.1442090Z             >>>         z = torch.mul(x, y)
2025-12-04T08:51:37.1442404Z             >>>     return z
2025-12-04T08:51:37.1442656Z             >>>
2025-12-04T08:51:37.1442912Z             >>> torch.cuda.synchronize()
2025-12-04T08:51:37.1443270Z             >>> print("====== Start nsys profiling ======")
2025-12-04T08:51:37.1443667Z             >>> check_error(cudart().cudaProfilerStart())
2025-12-04T08:51:37.1444051Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T08:51:37.1444467Z             >>>     result = perform_cuda_operations_with_streams()
2025-12-04T08:51:37.1444877Z             >>>     print("CUDA operations completed.")
2025-12-04T08:51:37.1445267Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T08:51:37.1445725Z             >>> print("====== End nsys profiling ======")
2025-12-04T08:51:37.1446052Z     
2025-12-04T08:51:37.1446545Z         To run this example and save the profiling information, execute:
2025-12-04T08:51:37.1447234Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T08:51:37.1447887Z     
2025-12-04T08:51:37.1448248Z         This command profiles the CUDA operations in the provided script and saves
2025-12-04T08:51:37.1448798Z         the profiling information to a file named `trace_name.prof`.
2025-12-04T08:51:37.1449340Z         The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T08:51:37.1449853Z         after the `cudaProfilerStart` call in the script.
2025-12-04T08:51:37.1450325Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T08:51:37.1450796Z         CSV file and print a summary, respectively.
2025-12-04T08:51:37.1451291Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T08:51:37.1451812Z         overwrite of the output file if it already exists.
2025-12-04T08:51:37.1452149Z         
2025-12-04T08:51:37.1452913Z     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))
2025-12-04T08:51:37.1453745Z     
2025-12-04T08:51:37.1454296Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T08:51:37.1454854Z     ^
2025-12-04T08:51:37.1455069Z       warnings.warn(msg)
2025-12-04T08:51:37.1455323Z     
2025-12-04T08:51:37.1455646Z --- Parse Warning: 7 / 17 ---
2025-12-04T08:51:37.1456716Z     /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.
2025-12-04T08:51:37.1457912Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1458350Z     
2025-12-04T08:51:37.1458785Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T08:51:37.1459328Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T08:51:37.1459868Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T08:51:37.1460298Z     vectorizing those operations.
2025-12-04T08:51:37.1460585Z     
2025-12-04T08:51:37.1460913Z     vmap is useful for handling batch dimensions: one can write a function
2025-12-04T08:51:37.1461434Z     ``func`` that runs on examples and then lift it to a function that can
2025-12-04T08:51:37.1461972Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T08:51:37.1462472Z     compute batched gradients when composed with autograd.
2025-12-04T08:51:37.1462826Z     
2025-12-04T08:51:37.1463032Z     .. note::
2025-12-04T08:51:37.1463355Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T08:51:37.1463789Z         convenience. Use whichever one you'd like.
2025-12-04T08:51:37.1464101Z     
2025-12-04T08:51:37.1464303Z     Args:
2025-12-04T08:51:37.1464639Z         func (function): A Python function that takes one or more arguments.
2025-12-04T08:51:37.1465067Z             Must return one or more Tensors.
2025-12-04T08:51:37.1465491Z         in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T08:51:37.1465987Z             inputs should be mapped over. ``in_dims`` should have a
2025-12-04T08:51:37.1466453Z             structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T08:51:37.1467022Z             input is None, then that indicates there is no map dimension.
2025-12-04T08:51:37.1467423Z             Default: 0.
2025-12-04T08:51:37.1467778Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T08:51:37.1468338Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T08:51:37.1468804Z             it should have one element per output. Default: 0.
2025-12-04T08:51:37.1469260Z         randomness (str): Specifies whether the randomness in this
2025-12-04T08:51:37.1469753Z             vmap should be the same or different across batches. If 'different',
2025-12-04T08:51:37.1470435Z             the randomness for each batch will be different. If 'same', the
2025-12-04T08:51:37.1470977Z             randomness will be the same across batches. If 'error', any calls to
2025-12-04T08:51:37.1471519Z             random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T08:51:37.1472031Z             only applies to random PyTorch operations and does not apply to
2025-12-04T08:51:37.1472496Z             Python's random module or numpy randomness.
2025-12-04T08:51:37.1472968Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T08:51:37.1473522Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T08:51:37.1474119Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T08:51:37.1474763Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T08:51:37.1475228Z     
2025-12-04T08:51:37.1475414Z     Returns:
2025-12-04T08:51:37.1475733Z         Returns a new "batched" function. It takes the same inputs as
2025-12-04T08:51:37.1476280Z         ``func``, except each input has an extra dimension at the index
2025-12-04T08:51:37.1476759Z         specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T08:51:37.1477247Z         ``func``, except each output has an extra dimension at the index
2025-12-04T08:51:37.1477654Z         specified by ``out_dims``.
2025-12-04T08:51:37.1477923Z     
2025-12-04T08:51:37.1478125Z     .. warning:
2025-12-04T08:51:37.1478467Z         :func:`vmap` works best with functional-style code. Please do not
2025-12-04T08:51:37.1478982Z         perform any side-effects in ``func``, with the exception of
2025-12-04T08:51:37.1479508Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T08:51:37.1480086Z         Python data structures and assigning values to variables not captured
2025-12-04T08:51:37.1480522Z         in ``func``.
2025-12-04T08:51:37.1480741Z     
2025-12-04T08:51:37.1481088Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T08:51:37.1481660Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T08:51:37.1482219Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T08:51:37.1482622Z     
2025-12-04T08:51:37.1482840Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T08:51:37.1483256Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T08:51:37.1483691Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T08:51:37.1484042Z         >>> batched_dot(x, y)
2025-12-04T08:51:37.1484313Z     
2025-12-04T08:51:37.1484644Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T08:51:37.1485101Z     model authoring experience.
2025-12-04T08:51:37.1485383Z     
2025-12-04T08:51:37.1485601Z         >>> batch_size, feature_size = 3, 5
2025-12-04T08:51:37.1486004Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T08:51:37.1486382Z         >>>
2025-12-04T08:51:37.1486602Z         >>> def model(feature_vec):
2025-12-04T08:51:37.1486945Z         >>> # Very simple linear model with activation
2025-12-04T08:51:37.1487322Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T08:51:37.1487651Z         >>>
2025-12-04T08:51:37.1487915Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T08:51:37.1488304Z         >>> result = torch.vmap(model)(examples)
2025-12-04T08:51:37.1488622Z     
2025-12-04T08:51:37.1489008Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T08:51:37.1489617Z     or impossible to batch. One example is higher-order gradient computation.
2025-12-04T08:51:37.1490198Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T08:51:37.1490789Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T08:51:37.1491383Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T08:51:37.1491990Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T08:51:37.1492450Z     call to ``autograd.grad``.
2025-12-04T08:51:37.1492704Z     
2025-12-04T08:51:37.1492909Z         >>> # Setup
2025-12-04T08:51:37.1493134Z         >>> N = 5
2025-12-04T08:51:37.1493352Z         >>> f = lambda x: x**2
2025-12-04T08:51:37.1493655Z         >>> x = torch.randn(N, requires_grad=True)
2025-12-04T08:51:37.1493980Z         >>> y = f(x)
2025-12-04T08:51:37.1494215Z         >>> I_N = torch.eye(N)
2025-12-04T08:51:37.1494477Z         >>>
2025-12-04T08:51:37.1494702Z         >>> # Sequential approach
2025-12-04T08:51:37.1495098Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T08:51:37.1495548Z         >>>                  for v in I_N.unbind()]
2025-12-04T08:51:37.1495904Z         >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T08:51:37.1496226Z         >>>
2025-12-04T08:51:37.1496456Z         >>> # vectorized gradient computation
2025-12-04T08:51:37.1496842Z         >>> def get_vjp(v):
2025-12-04T08:51:37.1497144Z         >>>     return torch.autograd.grad(y, x, v)
2025-12-04T08:51:37.1497494Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T08:51:37.1497809Z     
2025-12-04T08:51:37.1498189Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T08:51:37.1498641Z     
2025-12-04T08:51:37.1498858Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T08:51:37.1499178Z         >>> batched_dot = torch.vmap(
2025-12-04T08:51:37.1499477Z         ...     torch.vmap(torch.dot)
2025-12-04T08:51:37.1499805Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T08:51:37.1500178Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T08:51:37.1500564Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T08:51:37.1500872Z     
2025-12-04T08:51:37.1501224Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T08:51:37.1501745Z     the dimension that each inputs are batched along as
2025-12-04T08:51:37.1502076Z     
2025-12-04T08:51:37.1502297Z         >>> torch.dot  # [N], [N] -> []
2025-12-04T08:51:37.1502727Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T08:51:37.1503178Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T08:51:37.1503511Z         >>> batched_dot(
2025-12-04T08:51:37.1503762Z         ...     x, y
2025-12-04T08:51:37.1504098Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T08:51:37.1504474Z     
2025-12-04T08:51:37.1504842Z     If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T08:51:37.1505418Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T08:51:37.1505805Z     
2025-12-04T08:51:37.1506023Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T08:51:37.1506469Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T08:51:37.1507008Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T08:51:37.1507339Z         >>> batched_dot(
2025-12-04T08:51:37.1507593Z         ...     x, y
2025-12-04T08:51:37.1507919Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T08:51:37.1508311Z     
2025-12-04T08:51:37.1508661Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T08:51:37.1509178Z     matching the shape of the input:
2025-12-04T08:51:37.1509454Z     
2025-12-04T08:51:37.1509708Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T08:51:37.1510089Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T08:51:37.1510406Z         >>> input = {"x": x, "y": y}
2025-12-04T08:51:37.1510816Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T08:51:37.1511210Z         >>> batched_dot(input)
2025-12-04T08:51:37.1511460Z     
2025-12-04T08:51:37.1511846Z     By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T08:51:37.1512370Z     along any dimension by using ``out_dims``
2025-12-04T08:51:37.1512689Z     
2025-12-04T08:51:37.1512889Z         >>> f = lambda x: x**2
2025-12-04T08:51:37.1513172Z         >>> x = torch.randn(2, 5)
2025-12-04T08:51:37.1513497Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T08:51:37.1513829Z         >>> batched_pow(x)  # [5, 2]
2025-12-04T08:51:37.1514117Z     
2025-12-04T08:51:37.1514520Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T08:51:37.1515011Z     accept kwargs
2025-12-04T08:51:37.1515236Z     
2025-12-04T08:51:37.1515448Z         >>> x = torch.randn([2, 5])
2025-12-04T08:51:37.1515735Z         >>> def fn(x, scale=4.):
2025-12-04T08:51:37.1516018Z         >>>   return x * scale
2025-12-04T08:51:37.1516286Z         >>>
2025-12-04T08:51:37.1516517Z         >>> batched_pow = torch.vmap(fn)
2025-12-04T08:51:37.1516939Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T08:51:37.1517421Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T08:51:37.1517857Z     
2025-12-04T08:51:37.1518052Z     .. note::
2025-12-04T08:51:37.1518414Z         vmap does not provide general autobatching or handle variable-length
2025-12-04T08:51:37.1518863Z         sequences out of the box.
2025-12-04T08:51:37.1519141Z     
2025-12-04T08:51:37.1519782Z     Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T08:51:37.1520500Z     
2025-12-04T08:51:37.1520687Z     _._ = None
2025-12-04T08:51:37.1520912Z     ^
2025-12-04T08:51:37.1521136Z       warnings.warn(msg)
2025-12-04T08:51:37.1521380Z     
2025-12-04T08:51:37.1521724Z --- Parse Warning: 8 / 17 ---
2025-12-04T08:51:37.1522812Z     /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.
2025-12-04T08:51:37.1523999Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1524581Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T08:51:37.1525137Z         input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T08:51:37.1525571Z         compute higher-order gradients.
2025-12-04T08:51:37.1525861Z     
2025-12-04T08:51:37.1526060Z         Args:
2025-12-04T08:51:37.1526398Z             func (Callable): A Python function that takes one or more arguments.
2025-12-04T08:51:37.1526987Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T08:51:37.1527613Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T08:51:37.1528098Z                 ``(output, aux)``.
2025-12-04T08:51:37.1528566Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T08:51:37.1529149Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T08:51:37.1529691Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T08:51:37.1530191Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T08:51:37.1530595Z     
2025-12-04T08:51:37.1530778Z         Returns:
2025-12-04T08:51:37.1531196Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T08:51:37.1531831Z             the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T08:51:37.1532494Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T08:51:37.1533135Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T08:51:37.1533653Z             respect to each ``argnums`` value is returned.
2025-12-04T08:51:37.1533999Z     
2025-12-04T08:51:37.1534208Z         Example of using ``grad``:
2025-12-04T08:51:37.1534497Z     
2025-12-04T08:51:37.1534706Z             >>> # xdoctest: +SKIP
2025-12-04T08:51:37.1534999Z             >>> from torch.func import grad
2025-12-04T08:51:37.1535320Z             >>> x = torch.randn([])
2025-12-04T08:51:37.1535651Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T08:51:37.1536002Z             >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T08:51:37.1536328Z             >>>
2025-12-04T08:51:37.1536570Z             >>> # Second-order gradients
2025-12-04T08:51:37.1536919Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T08:51:37.1537322Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T08:51:37.1537654Z     
2025-12-04T08:51:37.1538119Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T08:51:37.1538567Z     
2025-12-04T08:51:37.1538785Z             >>> # xdoctest: +SKIP
2025-12-04T08:51:37.1539109Z             >>> from torch.func import grad, vmap
2025-12-04T08:51:37.1539453Z             >>> batch_size, feature_size = 3, 5
2025-12-04T08:51:37.1539770Z             >>>
2025-12-04T08:51:37.1540031Z             >>> def model(weights, feature_vec):
2025-12-04T08:51:37.1540379Z             >>> # Very simple linear model with activation
2025-12-04T08:51:37.1540742Z             >>>     assert feature_vec.dim() == 1
2025-12-04T08:51:37.1541099Z             >>>     return feature_vec.dot(weights).relu()
2025-12-04T08:51:37.1541413Z             >>>
2025-12-04T08:51:37.1541683Z             >>> def compute_loss(weights, example, target):
2025-12-04T08:51:37.1542050Z             >>>     y = model(weights, example)
2025-12-04T08:51:37.1542413Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T08:51:37.1542733Z             >>>
2025-12-04T08:51:37.1543041Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T08:51:37.1543489Z             >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T08:51:37.1543863Z             >>> targets = torch.randn(batch_size)
2025-12-04T08:51:37.1544225Z             >>> inputs = (weights, examples, targets)
2025-12-04T08:51:37.1544696Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T08:51:37.1545129Z             ...     *inputs
2025-12-04T08:51:37.1545382Z             ... )
2025-12-04T08:51:37.1545599Z     
2025-12-04T08:51:37.1545885Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T08:51:37.1546430Z     
2025-12-04T08:51:37.1546694Z             >>> # xdoctest: +SKIP
2025-12-04T08:51:37.1547006Z             >>> from torch.func import grad
2025-12-04T08:51:37.1547326Z             >>> def my_loss_func(y, y_pred):
2025-12-04T08:51:37.1547683Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T08:51:37.1548053Z             >>>    loss = loss_per_sample.mean()
2025-12-04T08:51:37.1548397Z             >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T08:51:37.1548725Z             >>>
2025-12-04T08:51:37.1549013Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T08:51:37.1549375Z             >>> y_true = torch.rand(4)
2025-12-04T08:51:37.1549722Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T08:51:37.1550184Z             >>> out = fn(y_true, y_preds)
2025-12-04T08:51:37.1550648Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T08:51:37.1551188Z     
2025-12-04T08:51:37.1551401Z         .. note::
2025-12-04T08:51:37.1551771Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T08:51:37.1552125Z     
2025-12-04T08:51:37.1552389Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T08:51:37.1552737Z     
2025-12-04T08:51:37.1552946Z                 >>> # xdoctest: +SKIP
2025-12-04T08:51:37.1553249Z                 >>> def f(x):
2025-12-04T08:51:37.1553538Z                 >>>     with torch.no_grad():
2025-12-04T08:51:37.1553847Z                 >>>         c = x ** 2
2025-12-04T08:51:37.1554152Z                 >>>     return x - c
2025-12-04T08:51:37.1554437Z     
2025-12-04T08:51:37.1554752Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T08:51:37.1555145Z     
2025-12-04T08:51:37.1555447Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T08:51:37.1555842Z     
2025-12-04T08:51:37.1556047Z                 >>> # xdoctest: +SKIP
2025-12-04T08:51:37.1556363Z                 >>> with torch.no_grad():
2025-12-04T08:51:37.1556682Z                 >>>     grad(f)(x)
2025-12-04T08:51:37.1556944Z     
2025-12-04T08:51:37.1557283Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T08:51:37.1557933Z             outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T08:51:37.1558484Z             should not depend on the result of a context manager outside of ``f``.
2025-12-04T08:51:37.1558915Z     
2025-12-04T08:51:37.1559119Z         
2025-12-04T08:51:37.1559751Z     Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T08:51:37.1560451Z     
2025-12-04T08:51:37.1560650Z     _._ = None
2025-12-04T08:51:37.1560870Z     ^
2025-12-04T08:51:37.1561071Z       warnings.warn(msg)
2025-12-04T08:51:37.1561316Z     
2025-12-04T08:51:37.1561645Z --- Parse Warning: 9 / 17 ---
2025-12-04T08:51:37.1562832Z     /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=402.
2025-12-04T08:51:37.1564160Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1564706Z     Register a FakeTensor implementation for this custom op.
2025-12-04T08:51:37.1565080Z     
2025-12-04T08:51:37.1565421Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T08:51:37.1565871Z     
2025-12-04T08:51:37.1566205Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T08:51:37.1566759Z             specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T08:51:37.1567260Z             Given some input Tensors with certain properties
2025-12-04T08:51:37.1567781Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T08:51:37.1568266Z             the output Tensors are.
2025-12-04T08:51:37.1568538Z     
2025-12-04T08:51:37.1568854Z             Please see :func:`torch.library.register_fake` for more details.
2025-12-04T08:51:37.1569267Z     
2025-12-04T08:51:37.1569453Z             Args:
2025-12-04T08:51:37.1569773Z                 fn (Callable): The function to register as the FakeTensor
2025-12-04T08:51:37.1570164Z                     implementation.
2025-12-04T08:51:37.1570436Z     
2025-12-04T08:51:37.1570637Z             Examples:
2025-12-04T08:51:37.1570888Z                 >>> import torch
2025-12-04T08:51:37.1571167Z                 >>> import numpy as np
2025-12-04T08:51:37.1571526Z                 >>> from torch import Tensor
2025-12-04T08:51:37.1571827Z                 >>>
2025-12-04T08:51:37.1572142Z                 >>> # Example 1: an operator without data-dependent output shape
2025-12-04T08:51:37.1572644Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T08:51:37.1573176Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T08:51:37.1573610Z                 >>>     return (x @ weight.t()) + bias
2025-12-04T08:51:37.1573913Z                 >>>
2025-12-04T08:51:37.1574167Z                 >>> @linear.register_fake
2025-12-04T08:51:37.1574499Z                 >>> def _(x, weight, bias):
2025-12-04T08:51:37.1574808Z                 >>>     assert x.dim() == 2
2025-12-04T08:51:37.1575142Z                 >>>     assert weight.dim() == 2
2025-12-04T08:51:37.1575476Z                 >>>     assert bias.dim() == 1
2025-12-04T08:51:37.1575828Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T08:51:37.1576194Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T08:51:37.1576568Z                 >>>     assert x.device == weight.device
2025-12-04T08:51:37.1576949Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T08:51:37.1577283Z                 >>>
2025-12-04T08:51:37.1577531Z                 >>> x = torch.randn(2, 2)
2025-12-04T08:51:37.1577859Z                 >>> weight = torch.randn(2, 2)
2025-12-04T08:51:37.1578174Z                 >>> bias = torch.randn(2)
2025-12-04T08:51:37.1578579Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:51:37.1579026Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T08:51:37.1579470Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:51:37.1579952Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T08:51:37.1580401Z                 >>>
2025-12-04T08:51:37.1580717Z                 >>> # Example 2: an operator with data-dependent output shape
2025-12-04T08:51:37.1581195Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T08:51:37.1581625Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T08:51:37.1581968Z                 >>>     x_np = x.cpu().numpy()
2025-12-04T08:51:37.1582326Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T08:51:37.1582702Z                 >>>     return torch.tensor(res, device=x.device)
2025-12-04T08:51:37.1583040Z                 >>>
2025-12-04T08:51:37.1583290Z                 >>> @nonzero.register_fake
2025-12-04T08:51:37.1583592Z                 >>> def _(x):
2025-12-04T08:51:37.1583920Z                 >>> # Number of nonzero-elements is data-dependent.
2025-12-04T08:51:37.1584354Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T08:51:37.1584783Z                 >>> # we use the ctx object to construct a new symint that
2025-12-04T08:51:37.1585196Z                 >>> # represents the data-dependent size.
2025-12-04T08:51:37.1585566Z                 >>>     ctx = torch.library.get_ctx()
2025-12-04T08:51:37.1585932Z                 >>>     nnz = ctx.new_dynamic_size()
2025-12-04T08:51:37.1586266Z                 >>>     shape = [nnz, x.dim()]
2025-12-04T08:51:37.1586718Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T08:51:37.1587100Z                 >>>     return result
2025-12-04T08:51:37.1587372Z                 >>>
2025-12-04T08:51:37.1587635Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T08:51:37.1588007Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:51:37.1588397Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T08:51:37.1588801Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:51:37.1589184Z                 >>> assert torch.allclose(out, x.nonzero())
2025-12-04T08:51:37.1589582Z     
2025-12-04T08:51:37.1589771Z             
2025-12-04T08:51:37.1590432Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T08:51:37.1591156Z     
2025-12-04T08:51:37.1591345Z     _._ = None
2025-12-04T08:51:37.1591597Z     ^
2025-12-04T08:51:37.1591818Z       warnings.warn(msg)
2025-12-04T08:51:37.1592061Z     
2025-12-04T08:51:37.1592384Z --- Parse Warning: 10 / 17 ---
2025-12-04T08:51:37.1593597Z     /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.
2025-12-04T08:51:37.1594943Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T08:51:37.1595398Z     
2025-12-04T08:51:37.1595747Z     Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T08:51:37.1596352Z     kernel registration will override any existing fake kernel registrations.
2025-12-04T08:51:37.1596793Z     
2025-12-04T08:51:37.1597121Z     The input is a dictionary mapping operator names to a set of operator
2025-12-04T08:51:37.1597690Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T08:51:37.1598249Z     are a record of the input and output tensor metadata. Based on this
2025-12-04T08:51:37.1598851Z     information we will match a given input to the recorded profile, and return
2025-12-04T08:51:37.1599436Z     an output with the same metadata as in the recorded profile. If a profile
2025-12-04T08:51:37.1599923Z     doesn't exist then an exception will be thrown.
2025-12-04T08:51:37.1600244Z     
2025-12-04T08:51:37.1600588Z     The fake kernel generation is considered unsafe because it relies on the
2025-12-04T08:51:37.1601161Z     rigid, pre-defined operator profiles that do not account for potential
2025-12-04T08:51:37.1601743Z     variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T08:51:37.1602360Z     fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T08:51:37.1602972Z     possible that data-dependent operations may produce outputs of different
2025-12-04T08:51:37.1603554Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T08:51:37.1604093Z     are inflexible and unable to accommodate these nuances, making them
2025-12-04T08:51:37.1604529Z     potentially unsafe.
2025-12-04T08:51:37.1604776Z     
2025-12-04T08:51:37.1604962Z     Args:
2025-12-04T08:51:37.1605300Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T08:51:37.1605835Z             name to a set of operator profiles from which we will generate fake
2025-12-04T08:51:37.1606245Z             kernels.
2025-12-04T08:51:37.1606463Z     
2025-12-04T08:51:37.1606664Z     Examples:
2025-12-04T08:51:37.1606884Z     
2025-12-04T08:51:37.1607156Z         >>> # Example: Registering an op-profile from draft-export
2025-12-04T08:51:37.1607535Z         >>> import torch
2025-12-04T08:51:37.1607862Z         >>> from torch.export._draft_export import draft_export
2025-12-04T08:51:37.1608209Z         >>>
2025-12-04T08:51:37.1608515Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T08:51:37.1608934Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T08:51:37.1609255Z         >>>     return x + y
2025-12-04T08:51:37.1609520Z         >>>
2025-12-04T08:51:37.1609752Z         >>> class M(torch.nn.Module):
2025-12-04T08:51:37.1610055Z         >>>     def forward(self, a, b):
2025-12-04T08:51:37.1610416Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T08:51:37.1610774Z         >>>         return res
2025-12-04T08:51:37.1611037Z         >>>
2025-12-04T08:51:37.1611318Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T08:51:37.1611748Z         >>>
2025-12-04T08:51:37.1612175Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T08:51:37.1612704Z         >>>     decomp = ep.run_decompositions()
2025-12-04T08:51:37.1613024Z     
2025-12-04T08:51:37.1613224Z     
2025-12-04T08:51:37.1613829Z     Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T08:51:37.1614496Z     
2025-12-04T08:51:37.1614703Z       warnings.warn(msg)
2025-12-04T08:51:37.1614945Z     
2025-12-04T08:51:37.1615251Z --- Parse Warning: 11 / 17 ---
2025-12-04T08:51:37.1616659Z     /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.
2025-12-04T08:51:37.1618189Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1618625Z     
2025-12-04T08:51:37.1619005Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T08:51:37.1619616Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T08:51:37.1620207Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T08:51:37.1620655Z     input by the user.
2025-12-04T08:51:37.1621101Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T08:51:37.1621597Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T08:51:37.1621930Z     
2025-12-04T08:51:37.1622134Z     Note::
2025-12-04T08:51:37.1622573Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T08:51:37.1623074Z     
2025-12-04T08:51:37.1623271Z     Args:
2025-12-04T08:51:37.1623490Z         model (nn.Module):
2025-12-04T08:51:37.1623872Z             The model whose layers will be sparsified. The layers that needs to be
2025-12-04T08:51:37.1624452Z             sparsified should be added separately using the register_layer() function
2025-12-04T08:51:37.1624934Z         aggregate_fn (Optional, Callable):
2025-12-04T08:51:37.1625421Z             default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T08:51:37.1625956Z             specifies how inputs should be aggregated over time.
2025-12-04T08:51:37.1626582Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T08:51:37.1627083Z             Example
2025-12-04T08:51:37.1627392Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T08:51:37.1627804Z                 reduce_fn (Optional, Callable):
2025-12-04T08:51:37.1628281Z                     default reduce_fn that is used if not specified while registering the layer.
2025-12-04T08:51:37.1628900Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T08:51:37.1629380Z                     calling agg_fn() on all inputs.
2025-12-04T08:51:37.1640552Z                     Example
2025-12-04T08:51:37.1640969Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T08:51:37.1641415Z                 mask_fn (Optional, Callable):
2025-12-04T08:51:37.1641957Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T08:51:37.1642650Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T08:51:37.1643115Z                     register_layer().
2025-12-04T08:51:37.1643674Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T08:51:37.1644247Z                     arguments.
2025-12-04T08:51:37.1644548Z                 features (Optional, list):
2025-12-04T08:51:37.1644980Z                     default selected features to sparsify.
2025-12-04T08:51:37.1645499Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T08:51:37.1645988Z                     For example,
2025-12-04T08:51:37.1646647Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T08:51:37.1647145Z                 feature_dim (Optional, int):
2025-12-04T08:51:37.1647656Z                     default dimension of input features. Again, features along this dim will be chosen
2025-12-04T08:51:37.1648171Z                     for sparsification.
2025-12-04T08:51:37.1648477Z                 sparse_config (Dict):
2025-12-04T08:51:37.1648909Z                     Default configuration for the mask_fn. This config will be passed
2025-12-04T08:51:37.1649351Z                     with the mask_fn()
2025-12-04T08:51:37.1649625Z     
2025-12-04T08:51:37.1649829Z     Example:
2025-12-04T08:51:37.1650058Z         >>> # xdoctest: +SKIP
2025-12-04T08:51:37.1650330Z         >>> model = SomeModel()
2025-12-04T08:51:37.1650760Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T08:51:37.1651233Z         >>> # Initialize aggregate_fn
2025-12-04T08:51:37.1651528Z         >>> def agg_fn(x, y):
2025-12-04T08:51:37.1651804Z         >>>     return x + y
2025-12-04T08:51:37.1652066Z         >>>
2025-12-04T08:51:37.1652303Z         >>> # Initialize reduce_fn
2025-12-04T08:51:37.1652701Z         >>> def reduce_fn(x):
2025-12-04T08:51:37.1653007Z         >>>     return torch.mean(x, dim=0)
2025-12-04T08:51:37.1653319Z         >>>
2025-12-04T08:51:37.1653531Z         >>> # Initialize mask_fn
2025-12-04T08:51:37.1653825Z         >>> def mask_fn(data):
2025-12-04T08:51:37.1654157Z         >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T08:51:37.1654493Z         >>>
2025-12-04T08:51:37.1654701Z         >>>
2025-12-04T08:51:37.1654947Z         >>> act_sparsifier.register_layer(
2025-12-04T08:51:37.1655260Z         ...     model.some_layer,
2025-12-04T08:51:37.1655555Z         ...     aggregate_fn=agg_fn,
2025-12-04T08:51:37.1655860Z         ...     reduce_fn=reduce_fn,
2025-12-04T08:51:37.1656139Z         ...     mask_fn=mask_fn,
2025-12-04T08:51:37.1656412Z         ... )
2025-12-04T08:51:37.1656632Z         >>>
2025-12-04T08:51:37.1656845Z         >>> # start training process
2025-12-04T08:51:37.1657147Z         >>> for _ in [...]:
2025-12-04T08:51:37.1657420Z         >>> # epoch starts
2025-12-04T08:51:37.1657766Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T08:51:37.1658131Z         >>> # epoch ends
2025-12-04T08:51:37.1658399Z         >>>     act_sparsifier.step()
2025-12-04T08:51:37.1658714Z         >>> # end training process
2025-12-04T08:51:37.1659006Z         >>> sparsifier.squash_mask()
2025-12-04T08:51:37.1659298Z     
2025-12-04T08:51:37.1659914Z     Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T08:51:37.1660596Z     
2025-12-04T08:51:37.1660795Z     _._ = None
2025-12-04T08:51:37.1661014Z     ^
2025-12-04T08:51:37.1661211Z       warnings.warn(msg)
2025-12-04T08:51:37.1661455Z     
2025-12-04T08:51:37.1661804Z --- Parse Warning: 12 / 17 ---
2025-12-04T08:51:37.1662991Z     /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=547.
2025-12-04T08:51:37.1664286Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1664728Z     
2025-12-04T08:51:37.1665103Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T08:51:37.1665737Z     The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T08:51:37.1666268Z     ``mesh_dim_names``
2025-12-04T08:51:37.1666600Z     
2025-12-04T08:51:37.1666800Z     Args:
2025-12-04T08:51:37.1667141Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T08:51:37.1667685Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T08:51:37.1668104Z     Returns:
2025-12-04T08:51:37.1668313Z         A :class:`DeviceMesh` object
2025-12-04T08:51:37.1668595Z     
2025-12-04T08:51:37.1668982Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T08:51:37.1669464Z     In the first example:
2025-12-04T08:51:37.1669873Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T08:51:37.1670483Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T08:51:37.1671067Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T08:51:37.1671618Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T08:51:37.1672173Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T08:51:37.1672741Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T08:51:37.1673158Z     
2025-12-04T08:51:37.1673376Z     In the second example:
2025-12-04T08:51:37.1673867Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T08:51:37.1674516Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T08:51:37.1675146Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T08:51:37.1675781Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T08:51:37.1676243Z     
2025-12-04T08:51:37.1676437Z     Example::
2025-12-04T08:51:37.1676655Z     
2025-12-04T08:51:37.1676878Z         >>> # xdoctest: +SKIP("no rank")
2025-12-04T08:51:37.1677256Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T08:51:37.1677629Z         >>>
2025-12-04T08:51:37.1677955Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T08:51:37.1678419Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T08:51:37.1678918Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T08:51:37.1679396Z         >>> tp_mesh = mesh_2d["tp"]
2025-12-04T08:51:37.1679700Z         >>> dp_mesh = mesh_2d["dp"]
2025-12-04T08:51:37.1679963Z         >>>
2025-12-04T08:51:37.1680183Z         >>> # Initialize a 3D mesh.
2025-12-04T08:51:37.1680655Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T08:51:37.1681342Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T08:51:37.1681883Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T08:51:37.1682204Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T08:51:37.1682507Z     
2025-12-04T08:51:37.1683299Z     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))
2025-12-04T08:51:37.1684163Z     
2025-12-04T08:51:37.1684511Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T08:51:37.1685002Z                                                                                      ^
2025-12-04T08:51:37.1685347Z       warnings.warn(msg)
2025-12-04T08:51:37.1685587Z     
2025-12-04T08:51:37.1685908Z --- Parse Warning: 13 / 17 ---
2025-12-04T08:51:37.1687096Z     /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.
2025-12-04T08:51:37.1688435Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1688901Z     
2025-12-04T08:51:37.1689293Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T08:51:37.1689780Z     
2025-12-04T08:51:37.1690171Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T08:51:37.1690668Z     
2025-12-04T08:51:37.1691058Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T08:51:37.1691571Z     will be visible to the whole process.
2025-12-04T08:51:37.1691865Z     
2025-12-04T08:51:37.1692254Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T08:51:37.1692734Z     
2025-12-04T08:51:37.1692955Z     1) set_up_planner - called on all ranks.
2025-12-04T08:51:37.1693312Z         Signals the start of a checkpoint save.
2025-12-04T08:51:37.1693638Z     
2025-12-04T08:51:37.1693861Z     2) create_local_plan - called on all ranks.
2025-12-04T08:51:37.1694382Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T08:51:37.1694869Z     
2025-12-04T08:51:37.1695150Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T08:51:37.1695712Z         Takes the SavePlan from all ranks and make any global decision.
2025-12-04T08:51:37.1696110Z     
2025-12-04T08:51:37.1696337Z     4) finish_plan - called on all ranks.
2025-12-04T08:51:37.1696762Z         This gives each rank a chance to adjust to global planning decisions.
2025-12-04T08:51:37.1697188Z     
2025-12-04T08:51:37.1697461Z     5) resolve_data - called multiple times on each rank
2025-12-04T08:51:37.1697917Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T08:51:37.1698324Z     
2025-12-04T08:51:37.1698740Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T08:51:37.1699330Z     most changes can be expressed by changes in a single method.
2025-12-04T08:51:37.1699705Z     
2025-12-04T08:51:37.1699946Z     There are 3 usual patterns of extension:
2025-12-04T08:51:37.1700242Z     
2025-12-04T08:51:37.1700606Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T08:51:37.1701210Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T08:51:37.1701637Z     
2025-12-04T08:51:37.1701849Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:37.1702203Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T08:51:37.1702547Z     >>>     def set_up_planner(
2025-12-04T08:51:37.1702805Z     >>>         self,
2025-12-04T08:51:37.1703066Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T08:51:37.1703411Z     >>>         storage_meta: Optional[StorageMeta],
2025-12-04T08:51:37.1703743Z     >>>         is_coordinator: bool,
2025-12-04T08:51:37.1704036Z     >>>     ) -> None:
2025-12-04T08:51:37.1704297Z     >>> # prefix all keys with `foo_``
2025-12-04T08:51:37.1704784Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T08:51:37.1705268Z     
2025-12-04T08:51:37.1705710Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T08:51:37.1706238Z     
2025-12-04T08:51:37.1706449Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:37.1706877Z     >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T08:51:37.1707222Z     >>>     def create_local_plan(self):
2025-12-04T08:51:37.1707546Z     >>>         plan = super().create_local_plan()
2025-12-04T08:51:37.1707877Z     >>>         for p in plan:
2025-12-04T08:51:37.1708176Z     >>>             if p.tensor_data is not None:
2025-12-04T08:51:37.1708592Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T08:51:37.1708963Z     >>>         return plan
2025-12-04T08:51:37.1709222Z     >>>
2025-12-04T08:51:37.1709459Z     >>>     def resolve_data(self, write_item):
2025-12-04T08:51:37.1709833Z     >>>         item = super().resolve_data(write_item)
2025-12-04T08:51:37.1710346Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T08:51:37.1710819Z     
2025-12-04T08:51:37.1711265Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T08:51:37.1711884Z     
2025-12-04T08:51:37.1712180Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:37.1712505Z     >>> from itertools import zip_longest
2025-12-04T08:51:37.1712838Z     >>> from dataclasses import replace
2025-12-04T08:51:37.1713225Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T08:51:37.1713781Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T08:51:37.1714290Z     >>> # This sample doesn't handle ShardedTensors
2025-12-04T08:51:37.1714667Z     >>>     def create_global_plan(self, all_plans):
2025-12-04T08:51:37.1715058Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T08:51:37.1715419Z     >>>         items_per_rank = [
2025-12-04T08:51:37.1715753Z     >>>             [item for item in items if item is not None]
2025-12-04T08:51:37.1716230Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T08:51:37.1716584Z     >>>         ]
2025-12-04T08:51:37.1716827Z     >>>         all_plans = [
2025-12-04T08:51:37.1717128Z     >>>             replace(plan, items=items)
2025-12-04T08:51:37.1717539Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T08:51:37.1717933Z     >>>         ]
2025-12-04T08:51:37.1718213Z     >>>         return super().create_global_plan(all_plans)
2025-12-04T08:51:37.1718530Z     
2025-12-04T08:51:37.1718911Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T08:51:37.1719569Z     accomplished by having each rank contribute their data items in the local plan and
2025-12-04T08:51:37.1720060Z     the global planner aggregate them:
2025-12-04T08:51:37.1720360Z     
2025-12-04T08:51:37.1720591Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:37.1720959Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T08:51:37.1721362Z     >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T08:51:37.1721727Z     >>>         plan = super().create_local_plan()
2025-12-04T08:51:37.1722109Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T08:51:37.1722470Z     >>>
2025-12-04T08:51:37.1722881Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T08:51:37.1723493Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T08:51:37.1723945Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T08:51:37.1724382Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T08:51:37.1724775Z     >>>         return global_plan, metadata
2025-12-04T08:51:37.1725063Z     
2025-12-04T08:51:37.1725688Z     Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T08:51:37.1726416Z     
2025-12-04T08:51:37.1726607Z     _._ = None
2025-12-04T08:51:37.1726802Z     ^
2025-12-04T08:51:37.1727009Z       warnings.warn(msg)
2025-12-04T08:51:37.1727254Z     
2025-12-04T08:51:37.1727566Z --- Parse Warning: 14 / 17 ---
2025-12-04T08:51:37.1728742Z     /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.
2025-12-04T08:51:37.1730080Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1730509Z     
2025-12-04T08:51:37.1730901Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T08:51:37.1731414Z     
2025-12-04T08:51:37.1731806Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T08:51:37.1732275Z     
2025-12-04T08:51:37.1732657Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T08:51:37.1733169Z     will be visible to the whole process.
2025-12-04T08:51:37.1733456Z     
2025-12-04T08:51:37.1733834Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T08:51:37.1734308Z     
2025-12-04T08:51:37.1734523Z     1) set_up_planner - called on all ranks.
2025-12-04T08:51:37.1734877Z         Signals the start of loading a checkpoint.
2025-12-04T08:51:37.1735196Z     
2025-12-04T08:51:37.1735415Z     2) create_local_plan - called on all ranks.
2025-12-04T08:51:37.1735927Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T08:51:37.1736404Z     
2025-12-04T08:51:37.1736696Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T08:51:37.1737171Z         Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T08:51:37.1737559Z     
2025-12-04T08:51:37.1737868Z     4) load_bytes - called multiple times on each rank
2025-12-04T08:51:37.1738281Z         This is called once per non-tensor value in state_dict.
2025-12-04T08:51:37.1738369Z     
2025-12-04T08:51:37.1738589Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T08:51:37.1738766Z         They are called in pair for each Tensor value in state_dict.
2025-12-04T08:51:37.1738856Z     
2025-12-04T08:51:37.1739154Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T08:51:37.1739347Z     most changes can be expressed by changes in a single method.
2025-12-04T08:51:37.1739425Z     
2025-12-04T08:51:37.1739551Z     There are two usual patterns of extension:
2025-12-04T08:51:37.1739646Z     
2025-12-04T08:51:37.1739896Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T08:51:37.1740142Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T08:51:37.1740382Z     to keep a reference to the original state_dict as load happens in place so
2025-12-04T08:51:37.1740500Z     we need to be able to perform it in place
2025-12-04T08:51:37.1740591Z     
2025-12-04T08:51:37.1740702Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:37.1740832Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T08:51:37.1740940Z     >>>     def set_up_planner(
2025-12-04T08:51:37.1741022Z     >>>         self,
2025-12-04T08:51:37.1741131Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T08:51:37.1741240Z     >>>         metadata: Metadata,
2025-12-04T08:51:37.1741342Z     >>>         is_coordinator: bool,
2025-12-04T08:51:37.1741425Z     >>>     ) -> None:
2025-12-04T08:51:37.1741559Z     >>>         self.original_state_dict = state_dict
2025-12-04T08:51:37.1741726Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T08:51:37.1741806Z     >>>
2025-12-04T08:51:37.1741935Z     >>>         if self.flatten_sharded_tensors:
2025-12-04T08:51:37.1742082Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T08:51:37.1742175Z     >>>
2025-12-04T08:51:37.1742284Z     >>>         if self.flatten_state_dict:
2025-12-04T08:51:37.1742462Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T08:51:37.1742552Z     >>>
2025-12-04T08:51:37.1742660Z     >>>         self.state_dict = state_dict
2025-12-04T08:51:37.1742789Z     >>>         self.metadata = metadata
2025-12-04T08:51:37.1742921Z     >>>         self.is_coordinator = is_coordinator
2025-12-04T08:51:37.1742998Z     >>>
2025-12-04T08:51:37.1743115Z     >>>     def load_bytes(self, read_item, value):
2025-12-04T08:51:37.1743228Z     >>> # Remove the "foo_" prefix
2025-12-04T08:51:37.1743564Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T08:51:37.1743652Z     
2025-12-04T08:51:37.1743728Z     
2025-12-04T08:51:37.1743983Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T08:51:37.1744072Z     
2025-12-04T08:51:37.1744179Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:51:37.1744330Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T08:51:37.1744455Z     >>>     def resolve_tensor(self, read_item):
2025-12-04T08:51:37.1744582Z     >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T08:51:37.1744720Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T08:51:37.1744808Z     >>>
2025-12-04T08:51:37.1744928Z     >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T08:51:37.1745085Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T08:51:37.1745161Z     
2025-12-04T08:51:37.1745685Z     Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T08:51:37.1745770Z     
2025-12-04T08:51:37.1745850Z     _._ = None
2025-12-04T08:51:37.1745982Z     ^
2025-12-04T08:51:37.1746085Z       warnings.warn(msg)
2025-12-04T08:51:37.1746159Z     
2025-12-04T08:51:37.1746606Z --- Parse Warning: 15 / 17 ---
2025-12-04T08:51:37.1747555Z     /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.
2025-12-04T08:51:37.1747797Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1747885Z     
2025-12-04T08:51:37.1748086Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T08:51:37.1748276Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T08:51:37.1748488Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T08:51:37.1748703Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T08:51:37.1748899Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T08:51:37.1748989Z     follows:
2025-12-04T08:51:37.1749068Z     
2025-12-04T08:51:37.1749200Z         >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T08:51:37.1749430Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T08:51:37.1749552Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T08:51:37.1749755Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T08:51:37.1749965Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T08:51:37.1750066Z         >>>     state = fsdp.state_dict()
2025-12-04T08:51:37.1750281Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T08:51:37.1750509Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T08:51:37.1750750Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T08:51:37.1750846Z         >>> if dist.get_rank() == 0:
2025-12-04T08:51:37.1751022Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T08:51:37.1751171Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T08:51:37.1751283Z         >>>     model.load_state_dict(state_dict)
2025-12-04T08:51:37.1751506Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T08:51:37.1751828Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T08:51:37.1751916Z         >>> fsdp = FSDP(
2025-12-04T08:51:37.1751997Z         ...     model,
2025-12-04T08:51:37.1752141Z         ...     device_id=torch.cuda.current_device(),
2025-12-04T08:51:37.1752281Z         ...     auto_wrap_policy=...,
2025-12-04T08:51:37.1752397Z         ...     sync_module_states=True,
2025-12-04T08:51:37.1752475Z         ... )
2025-12-04T08:51:37.1752685Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T08:51:37.1752775Z     
2025-12-04T08:51:37.1752858Z     Attributes:
2025-12-04T08:51:37.1753047Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T08:51:37.1753258Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T08:51:37.1753410Z             ranks save the full state dict. (Default: ``False``)
2025-12-04T08:51:37.1753488Z     
2025-12-04T08:51:37.1753990Z     Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T08:51:37.1754066Z     
2025-12-04T08:51:37.1754165Z     _._ = None
2025-12-04T08:51:37.1754244Z     ^
2025-12-04T08:51:37.1754337Z       warnings.warn(msg)
2025-12-04T08:51:37.1754425Z     
2025-12-04T08:51:37.1754622Z --- Parse Warning: 16 / 17 ---
2025-12-04T08:51:37.1755663Z     /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=437.
2025-12-04T08:51:37.1755921Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1756074Z     Register a parametrization to a tensor in a module.
2025-12-04T08:51:37.1756158Z     
2025-12-04T08:51:37.1756434Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T08:51:37.1756707Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T08:51:37.1756974Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T08:51:37.1757259Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T08:51:37.1757337Z     
2025-12-04T08:51:37.1757657Z         The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T08:51:37.1757894Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T08:51:37.1757981Z     
2025-12-04T08:51:37.1758229Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T08:51:37.1758352Z         ``module.parametrizations.weight``.
2025-12-04T08:51:37.1758439Z     
2025-12-04T08:51:37.1758576Z         The original tensor will be accessible under
2025-12-04T08:51:37.1758723Z         ``module.parametrizations.weight.original``.
2025-12-04T08:51:37.1758813Z     
2025-12-04T08:51:37.1759073Z         Parametrizations may be concatenated by registering several parametrizations
2025-12-04T08:51:37.1759171Z         on the same attribute.
2025-12-04T08:51:37.1759257Z     
2025-12-04T08:51:37.1759494Z         The training mode of a registered parametrization is updated on registration
2025-12-04T08:51:37.1759637Z         to match the training mode of the host module
2025-12-04T08:51:37.1759715Z     
2025-12-04T08:51:37.1760012Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T08:51:37.1760147Z         using the context manager :func:`cached`.
2025-12-04T08:51:37.1760225Z     
2025-12-04T08:51:37.1760460Z         A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T08:51:37.1760546Z     
2025-12-04T08:51:37.1760686Z         .. code-block:: python
2025-12-04T08:51:37.1760763Z     
2025-12-04T08:51:37.1760983Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T08:51:37.1761058Z     
2025-12-04T08:51:37.1761324Z         This method is called on the unparametrized tensor when the first parametrization
2025-12-04T08:51:37.1761582Z         is registered to compute the initial value of the original tensor.
2025-12-04T08:51:37.1761881Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T08:51:37.1761971Z     
2025-12-04T08:51:37.1762276Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T08:51:37.1762556Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T08:51:37.1762645Z     
2025-12-04T08:51:37.1762864Z         It is possible for the first parametrization to depend on several inputs.
2025-12-04T08:51:37.1763117Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T08:51:37.1763343Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T08:51:37.1763419Z     
2025-12-04T08:51:37.1763759Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T08:51:37.1763881Z         with names ``original0``, ``original1``,...
2025-12-04T08:51:37.1763957Z     
2025-12-04T08:51:37.1764050Z         .. note::
2025-12-04T08:51:37.1764124Z     
2025-12-04T08:51:37.1764437Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T08:51:37.1764591Z             once to perform a number of consistency checks.
2025-12-04T08:51:37.1764852Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T08:51:37.1764986Z             and nothing will be called otherwise.
2025-12-04T08:51:37.1765059Z     
2025-12-04T08:51:37.1765145Z         .. note::
2025-12-04T08:51:37.1765234Z     
2025-12-04T08:51:37.1765430Z             In most situations, ``right_inverse`` will be a function such that
2025-12-04T08:51:37.1765547Z             ``forward(right_inverse(X)) == X`` (see
2025-12-04T08:51:37.1765847Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T08:51:37.1766089Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T08:51:37.1766193Z             to relax this.
2025-12-04T08:51:37.1766277Z     
2025-12-04T08:51:37.1766357Z         .. warning::
2025-12-04T08:51:37.1766444Z     
2025-12-04T08:51:37.1766713Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T08:51:37.1766961Z             will register a number of new parameters. If such parametrization is registered
2025-12-04T08:51:37.1767236Z             after the optimizer is created, these new parameters will need to be added manually
2025-12-04T08:51:37.1767429Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T08:51:37.1767503Z     
2025-12-04T08:51:37.1767596Z         Args:
2025-12-04T08:51:37.1767800Z             module (nn.Module): module on which to register the parametrization
2025-12-04T08:51:37.1768021Z             tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T08:51:37.1768121Z                 the parametrization
2025-12-04T08:51:37.1768321Z             parametrization (nn.Module): the parametrization to register
2025-12-04T08:51:37.1768418Z         Keyword args:
2025-12-04T08:51:37.1768628Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T08:51:37.1768815Z                 may change the dtype and shape of the tensor. Default: `False`
2025-12-04T08:51:37.1769086Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T08:51:37.1769203Z                 Enable this flag at your own risk.
2025-12-04T08:51:37.1769317Z     
2025-12-04T08:51:37.1769397Z         Raises:
2025-12-04T08:51:37.1769678Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T08:51:37.1769762Z     
2025-12-04T08:51:37.1769847Z         Examples:
2025-12-04T08:51:37.1770020Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T08:51:37.1770124Z             >>> import torch
2025-12-04T08:51:37.1770226Z             >>> import torch.nn as nn
2025-12-04T08:51:37.1770360Z             >>> import torch.nn.utils.parametrize as P
2025-12-04T08:51:37.1770448Z             >>>
2025-12-04T08:51:37.1770554Z             >>> class Symmetric(nn.Module):
2025-12-04T08:51:37.1770656Z             >>>     def forward(self, X):
2025-12-04T08:51:37.1770835Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T08:51:37.1770914Z             >>>
2025-12-04T08:51:37.1771032Z             >>>     def right_inverse(self, A):
2025-12-04T08:51:37.1771131Z             >>>         return A.triu()
2025-12-04T08:51:37.1771210Z             >>>
2025-12-04T08:51:37.1771313Z             >>> m = nn.Linear(5, 5)
2025-12-04T08:51:37.1771478Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T08:51:37.1771712Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T08:51:37.1771798Z             True
2025-12-04T08:51:37.1771894Z             >>> A = torch.rand(5, 5)
2025-12-04T08:51:37.1772053Z             >>> A = A + A.T  # A is now symmetric
2025-12-04T08:51:37.1772254Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T08:51:37.1772372Z             >>> print(torch.allclose(m.weight, A))
2025-12-04T08:51:37.1772466Z             True
2025-12-04T08:51:37.1772543Z     
2025-12-04T08:51:37.1772646Z             >>> class RankOne(nn.Module):
2025-12-04T08:51:37.1772759Z             >>>     def forward(self, x, y):
2025-12-04T08:51:37.1772897Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T08:51:37.1773024Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T08:51:37.1773112Z             >>>
2025-12-04T08:51:37.1773220Z             >>>     def right_inverse(self, Z):
2025-12-04T08:51:37.1773340Z             >>> # Project Z onto the rank 1 matrices
2025-12-04T08:51:37.1773496Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T08:51:37.1773614Z             >>> # Return rescaled singular vectors
2025-12-04T08:51:37.1773747Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T08:51:37.1773890Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T08:51:37.1773968Z             >>>
2025-12-04T08:51:37.1774119Z             >>> linear_rank_one = P.register_parametrization(
2025-12-04T08:51:37.1774240Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T08:51:37.1774321Z             ... )
2025-12-04T08:51:37.1774527Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T08:51:37.1774605Z             1
2025-12-04T08:51:37.1774681Z     
2025-12-04T08:51:37.1774772Z         
2025-12-04T08:51:37.1775288Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T08:51:37.1775380Z     
2025-12-04T08:51:37.1775458Z     _._ = None
2025-12-04T08:51:37.1775536Z     ^
2025-12-04T08:51:37.1775642Z       warnings.warn(msg)
2025-12-04T08:51:37.1775716Z     
2025-12-04T08:51:37.1775911Z --- Parse Warning: 17 / 17 ---
2025-12-04T08:51:37.1776846Z     /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=1586.
2025-12-04T08:51:37.1777084Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:51:37.1777307Z     Reduce learning rate when a metric has stopped improving.
2025-12-04T08:51:37.1777380Z     
2025-12-04T08:51:37.1777575Z         Models often benefit from reducing the learning rate by a factor
2025-12-04T08:51:37.1777772Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T08:51:37.1777991Z         quantity and if no improvement is seen for a 'patience' number
2025-12-04T08:51:37.1778109Z         of epochs, the learning rate is reduced.
2025-12-04T08:51:37.1778203Z     
2025-12-04T08:51:37.1778280Z         Args:
2025-12-04T08:51:37.1778413Z             optimizer (Optimizer): Wrapped optimizer.
2025-12-04T08:51:37.1778577Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T08:51:37.1778723Z                 be reduced when the quantity monitored has stopped
2025-12-04T08:51:37.1778894Z                 decreasing; in `max` mode it will be reduced when the
2025-12-04T08:51:37.1779082Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T08:51:37.1779246Z             factor (float): Factor by which the learning rate will be
2025-12-04T08:51:37.1779400Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T08:51:37.1779609Z             patience (int): The number of allowed epochs with no improvement after
2025-12-04T08:51:37.1779737Z                 which the learning rate will be reduced.
2025-12-04T08:51:37.1780026Z                 For example, consider the case of having no patience (`patience = 0`).
2025-12-04T08:51:37.1780381Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T08:51:37.1780594Z                 In the second epoch, if the performance is worse than the baseline,
2025-12-04T08:51:37.1780741Z                 we have what is considered an intolerable epoch.
2025-12-04T08:51:37.1780997Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T08:51:37.1781178Z                 the learning rate is reduced at the end of this epoch.
2025-12-04T08:51:37.1781496Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T08:51:37.1781816Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T08:51:37.1781932Z                 the learning rate is not adjusted.
2025-12-04T08:51:37.1782026Z                 Default: 10.
2025-12-04T08:51:37.1782219Z             threshold (float): Threshold for measuring the new optimum,
2025-12-04T08:51:37.1782376Z                 to only focus on significant changes. Default: 1e-4.
2025-12-04T08:51:37.1782541Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T08:51:37.1782702Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T08:51:37.1782838Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T08:51:37.1782995Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T08:51:37.1783170Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T08:51:37.1783338Z             cooldown (int): Number of epochs to wait before resuming
2025-12-04T08:51:37.1783517Z                 normal operation after lr has been reduced. Default: 0.
2025-12-04T08:51:37.1783683Z             min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T08:51:37.1783841Z                 lower bound on the learning rate of all param groups
2025-12-04T08:51:37.1783984Z                 or each group respectively. Default: 0.
2025-12-04T08:51:37.1784157Z             eps (float): Minimal decay applied to lr. If the difference
2025-12-04T08:51:37.1784346Z                 between new and old lr is smaller than eps, the update is
2025-12-04T08:51:37.1784452Z                 ignored. Default: 1e-8.
2025-12-04T08:51:37.1784559Z     
2025-12-04T08:51:37.1784655Z         Example:
2025-12-04T08:51:37.1784752Z             >>> # xdoctest: +SKIP
2025-12-04T08:51:37.1784976Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T08:51:37.1785146Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T08:51:37.1785290Z             >>> for epoch in range(10):
2025-12-04T08:51:37.1785382Z             >>>     train(...)
2025-12-04T08:51:37.1785504Z             >>>     val_loss = validate(...)
2025-12-04T08:51:37.1785657Z             >>> # Note that step should be called after validate()
2025-12-04T08:51:37.1785781Z             >>>     scheduler.step(val_loss)
2025-12-04T08:51:37.1785860Z     
2025-12-04T08:51:37.1786049Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T08:51:37.1786147Z         
2025-12-04T08:51:37.1786625Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T08:51:37.1786708Z     
2025-12-04T08:51:37.1786830Z         scheduler.step(val_loss)
2025-12-04T08:51:37.1786911Z        ^
2025-12-04T08:51:37.1787007Z       warnings.warn(msg)
2025-12-04T08:51:37.1787103Z     
2025-12-04T08:51:37.1787219Z 
2025-12-04T08:51:37.1787395Z === Found 10 run-time warnings ===
2025-12-04T08:51:37.1787588Z --- Runtime Warning: 1 / 10 ---
2025-12-04T08:51:37.1787782Z example = <DocTest(torch is_storage:0 ln 1157) at 0x7f87c982bd60>
2025-12-04T08:51:37.1789293Z     <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0>:3: 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()
2025-12-04T08:51:37.1789374Z     
2025-12-04T08:51:37.1789565Z --- Runtime Warning: 2 / 10 ---
2025-12-04T08:51:37.1789825Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1374) at 0x7f87c94f7d00>
2025-12-04T08:51:37.1791149Z     /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:1976.)
2025-12-04T08:51:37.1791283Z       return super().refine_names(names)
2025-12-04T08:51:37.1791361Z     
2025-12-04T08:51:37.1791536Z --- Runtime Warning: 3 / 10 ---
2025-12-04T08:51:37.1791853Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 239) at 0x7f87c9839e40>
2025-12-04T08:51:37.1792471Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators,  other operators may also be overridden.
2025-12-04T08:51:37.1792794Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-12-04T08:51:37.1792991Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-12-04T08:51:37.1793281Z         registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2025-12-04T08:51:37.1793390Z       dispatch key: CPU
2025-12-04T08:51:37.1793813Z       previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-12-04T08:51:37.1794808Z            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:215.)
2025-12-04T08:51:37.1794962Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-12-04T08:51:37.1795052Z     
2025-12-04T08:51:37.1795230Z --- Runtime Warning: 4 / 10 ---
2025-12-04T08:51:37.1795491Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7f87c98cce80>
2025-12-04T08:51:37.1797324Z     /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:182.)
2025-12-04T08:51:37.1797591Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-12-04T08:51:37.1797683Z     
2025-12-04T08:51:37.1797857Z --- Runtime Warning: 5 / 10 ---
2025-12-04T08:51:37.1798102Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7f87c912fa60>
2025-12-04T08:51:37.1799698Z     <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:55.)
2025-12-04T08:51:37.1799779Z     
2025-12-04T08:51:37.1799964Z --- Runtime Warning: 6 / 10 ---
2025-12-04T08:51:37.1800265Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1705) at 0x7f87ca5444c0>
2025-12-04T08:51:37.1801844Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/const_fold.py:314: 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
2025-12-04T08:51:37.1802020Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-12-04T08:51:37.1802100Z     
2025-12-04T08:51:37.1802289Z --- Runtime Warning: 7 / 10 ---
2025-12-04T08:51:37.1802569Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 91) at 0x7f87c949f6a0>
2025-12-04T08:51:37.1803637Z     /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)
2025-12-04T08:51:37.1803768Z       self.encoder = TransformerEncoder(
2025-12-04T08:51:37.1803847Z     
2025-12-04T08:51:37.1804034Z --- Runtime Warning: 8 / 10 ---
2025-12-04T08:51:37.1804357Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 345) at 0x7f87c949d210>
2025-12-04T08:51:37.1805559Z     <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)
2025-12-04T08:51:37.1805653Z     
2025-12-04T08:51:37.1805825Z --- Runtime Warning: 9 / 10 ---
2025-12-04T08:51:37.1806112Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x7f87c911f640>
2025-12-04T08:51:37.1806919Z     /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`.
2025-12-04T08:51:37.1807041Z       WeightNorm.apply(module, name, dim)
2025-12-04T08:51:37.1807133Z     
2025-12-04T08:51:37.1807309Z --- Runtime Warning: 10 / 10 ---
2025-12-04T08:51:37.1807609Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x7f87c911db10>
2025-12-04T08:51:37.1808414Z     /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`.
2025-12-04T08:51:37.1808563Z       WeightNorm.apply(module, name, dim)
2025-12-04T08:51:37.1808653Z     
2025-12-04T08:51:37.1808940Z === 378 passed, 516 skipped, 27 warnings in 29.59 seconds ===
2025-12-04T08:51:37.1809234Z Finished doctests 1/1 ... [2025-12-04 08:51:37.134274][1731.809628472], took 0.49min
2025-12-04T08:51:37.1809519Z Running inductor/test_flex_attention 1/8 ... [2025-12-04 08:51:37.138432][1731.813794511]
2025-12-04T08:51:37.1809628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:51:37.1810513Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:51:37.139014]
2025-12-04T09:00:20.8076180Z 
2025-12-04T09:00:20.8077301Z inductor/test_flex_attention 1/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.8_941bdf2eebdc3d4b_.log
2025-12-04T09:00:20.8120081Z Running 80 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_autograd_function_in_score_mod_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_triton_decode_errors_with_non_power_of_two_gqa_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod6_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_cant_lower_error_message_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_wrong_device_error_message_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_causal_block_paged_attention_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_custom_score_mod_layout_freeze_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_differentiable_logsumexp_compiled_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order3_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order3_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order0_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_force_write_lse_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kernel_options_argument_is_respected_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_modular_indexing_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_multiple_mask_calls_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_natten_2d_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod0_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod0_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod2_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod3_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_pow_2_headdim_head_dim_121_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_skip_odd_keys_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_small_block_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s0_v_s0_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s1_v_s1_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s3_v_s3_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_symbol_closure_in_score_mod_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flipped_indexed_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flipped_indexed_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, 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2025-12-04T09:00:20.8162172Z 
2025-12-04T09:00:20.8162501Z Finished inductor/test_flex_attention 1/8 ... [2025-12-04 09:00:20.807227][2255.482591009], took 8.73min
2025-12-04T09:00:20.8163680Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-f0056591b06ea9d6.xml
2025-12-04T09:00:21.3373536Z Uploading artifacts took 0.35 seconds
2025-12-04T09:00:21.3378201Z Running inductor/test_flex_attention 3/8 ... [2025-12-04 09:00:21.337625][2256.012988908]
2025-12-04T09:00:21.3378783Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:00:21.3383548Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=3', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:00:21.338108]
2025-12-04T09:10:51.7768643Z 
2025-12-04T09:10:51.7770080Z inductor/test_flex_attention 3/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_3.8_f1bbb7aa7c5aa65a_.log
2025-12-04T09:10:51.7821487Z Running 96 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_rejects_legacy_force_use_flag_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_triton_decode_matches_auto_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod4_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_reduction_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_causal_block_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_differentiable_logsumexp_gradcheck_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dynamic_captured_buffer_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dynamic_shapes_with_max_autotune_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order1_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order3_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order0_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order2_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order3_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order4_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_free_symbol_dynamic_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_fully_masked_out_rows_0_check_compile_False_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_function_composition_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_index_multiple_cpu, 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test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_large_batch_heads_grid_dimension_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_multiple_score_mod_calls2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_njt_causal_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod1_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod2_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod2_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod4_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_pow_2_headdim_head_dim_94_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_return_aux__causal_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_return_aux__rel_bias_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_return_aux__rel_causal_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s1_v_s1_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s3_v_s3_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_subgraph_respect_decompostion_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_page_allocation_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod4_cpu_bfloat16, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu
2025-12-04T09:10:51.7873310Z 
2025-12-04T09:10:51.7873639Z Finished inductor/test_flex_attention 3/8 ... [2025-12-04 09:10:51.776958][2886.452320897], took 10.51min
2025-12-04T09:10:51.7874837Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-f01ca41a1ca4a001.xml
2025-12-04T09:10:51.8745763Z Running inductor/test_flex_attention 4/8 ... [2025-12-04 09:10:51.874274][2886.549637197]
2025-12-04T09:10:51.8746408Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:51.8750147Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=4', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:10:51.874752]
2025-12-04T09:20:46.3121086Z 
2025-12-04T09:20:46.3122143Z inductor/test_flex_attention 4/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_4.8_c4f0eaa8172d01e8_.log
2025-12-04T09:20:46.3172797Z Running 95 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod4_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod5_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_defaults_and_rejects_invalid_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cpu_float16, 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2025-12-04T09:20:46.3221886Z 
2025-12-04T09:20:46.3222214Z Finished inductor/test_flex_attention 4/8 ... [2025-12-04 09:20:46.312204][3480.98756857], took 9.91min
2025-12-04T09:20:46.3223431Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1598c3cc7c996bd7.xml
2025-12-04T09:20:46.7915263Z Uploading artifacts took 0.37 seconds
2025-12-04T09:20:46.7919541Z Running inductor/test_flex_attention 5/8 ... [2025-12-04 09:20:46.791750][3481.467114249]
2025-12-04T09:20:46.7920113Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:46.7924463Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:20:46.792211]
2025-12-04T09:28:58.8789296Z 
2025-12-04T09:28:58.8790332Z inductor/test_flex_attention 5/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_5.8_3007967564078830_.log
2025-12-04T09:28:58.8829970Z Running 73 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE3_cpu_bfloat16, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu
2025-12-04T09:28:58.8868303Z 
2025-12-04T09:28:58.8868631Z Finished inductor/test_flex_attention 5/8 ... [2025-12-04 09:28:58.879003][3973.554363102], took 8.20min
2025-12-04T09:28:58.8869777Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-824dd1f649231903.xml
2025-12-04T09:28:59.0090465Z Running inductor/test_flex_attention 6/8 ... [2025-12-04 09:28:59.008745][3973.684108877]
2025-12-04T09:28:59.0091071Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:59.0123495Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:59.012128]
2025-12-04T09:40:23.6522437Z 
2025-12-04T09:40:23.6523925Z inductor/test_flex_attention 6/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_6.8_f6d3a166a7cb1403_.log
2025-12-04T09:40:23.6607283Z Running 84 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_causal_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_auto_matches_triton_large_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_scale_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_causal_block_non_divisible_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_causal_block_non_divisible_with_captured_buffer_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_eager_backward_strides_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order4_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order0_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order1_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order3_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order0_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order2_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_float32_matmul_precision_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_function_composition_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_index_weird2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_load_rel_bias_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_correctness_score_mod1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_correctness_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_mask_mod_combiners_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_multiple_score_mod_calls_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_njt_causal_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod1_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod3_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod3_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod4_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod7_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_pow_2_headdim_head_dim_17_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_pow_2_headdim_head_dim_24_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_recompile_changed_score_mod_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_reduction_unrolled_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_selective_ac_ops_to_save0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_selective_ac_with_max_autotune_short_query_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s2_v_s2_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s3_v_s3_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s0_v_s0_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s0_v_s0_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_tensor_subclass_dispatch_order_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod2_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod3_cpu_float16, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_backprop_error_case_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_batch_head_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_batch_head_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flex_attention_with_dynamic_max_autotune_graph_partition_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_global_tokens_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu
2025-12-04T09:40:23.6673272Z 
2025-12-04T09:40:23.6673885Z Finished inductor/test_flex_attention 6/8 ... [2025-12-04 09:40:23.652350][4658.327712066], took 11.41min
2025-12-04T09:40:23.6676106Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-91b2f209b1cd8557.xml
2025-12-04T09:40:23.7582600Z Running inductor/test_flex_attention 7/8 ... [2025-12-04 09:40:23.757927][4658.433291776]
2025-12-04T09:40:23.7583461Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:23.7587882Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:23.758430]
2025-12-04T09:49:18.4331066Z 
2025-12-04T09:49:18.4332046Z inductor/test_flex_attention 7/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_7.8_77993b7bd0feaa12_.log
2025-12-04T09:49:18.4380188Z Running 91 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_triton_decode_errors_when_not_supported_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod5_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod6_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_buffers_all_dims_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_score_mod_aot_eager_gradcheck_score_mod_name__head_offset_mode_aot_eager_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_document_masking_edge_case_mode_aot_eager_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dynamic_shapes_bug_dynamic_batch_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order0_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order2_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order1_shape0_cpu, 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2025-12-04T09:49:18.4427521Z 
2025-12-04T09:49:18.4427873Z Finished inductor/test_flex_attention 7/8 ... [2025-12-04 09:49:18.433206][5193.108568081], took 8.91min
2025-12-04T09:49:18.4429022Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-f9bbd10d2aacce74.xml
2025-12-04T09:49:18.8936524Z Uploading artifacts took 0.36 seconds
2025-12-04T09:49:18.8941053Z Running inductor/test_flex_attention 8/8 ... [2025-12-04 09:49:18.893918][5193.569283265]
2025-12-04T09:49:18.8941563Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:18.8945641Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=8', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:18.894360]
2025-12-04T09:59:35.4069110Z 
2025-12-04T09:59:35.4070163Z inductor/test_flex_attention 8/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_8.8_30424ba9fedfb2cc_.log
2025-12-04T09:59:35.4120678Z Running 95 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_block_mask_non_divisible_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_128_cpu_float16, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu
2025-12-04T09:59:35.4170356Z 
2025-12-04T09:59:35.4170685Z Finished inductor/test_flex_attention 8/8 ... [2025-12-04 09:59:35.406993][5810.082356858], took 10.28min
2025-12-04T09:59:35.4171942Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-ff9c22ed0402a950.xml
2025-12-04T09:59:35.5002080Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:59:35.499928][5810.175291651]
2025-12-04T09:59:35.5002589Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:35.5005695Z 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'] ... [2025-12-04 09:59:35.500339]
2025-12-04T09:59:49.1529197Z 
2025-12-04T09:59:49.1530166Z 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_391e30ab82e0f6d0_.log
2025-12-04T09:59:49.1531607Z 
2025-12-04T09:59:49.1532194Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:59:49.152684][5823.828049802], took 0.23min
2025-12-04T09:59:49.1565557Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:59:49.156367][5823.831734429]
2025-12-04T09:59:49.1566298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:49.1569740Z 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'] ... [2025-12-04 09:59:49.156753]
2025-12-04T10:00:14.0614539Z 
2025-12-04T10:00:14.0615510Z 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_5e6a82f8adcb35a0_.log
2025-12-04T10:00:14.0625664Z Running 6 items in this shard: test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_avoid_register_spilling_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_foreach_kernel_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_register_spills_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_resnet18_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_softmax_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_tield_kernel_fusion_cpu
2025-12-04T10:00:14.0628223Z 
2025-12-04T10:00:14.0628588Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 10:00:14.061303][5848.736668164], took 0.42min
2025-12-04T10:00:14.0674515Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-357990c61a6a4b52.xml
2025-12-04T10:00:14.1652641Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 10:00:14.164984][5848.840347926]
2025-12-04T10:00:14.1653212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:14.1656162Z 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'] ... [2025-12-04 10:00:14.165394]
2025-12-04T10:00:58.6971082Z 
2025-12-04T10:00:58.6972575Z 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_26a4ce8df5c81b1d_.log
2025-12-04T10:00:58.6983892Z 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
2025-12-04T10:00:58.6993279Z 
2025-12-04T10:00:58.6993649Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 10:00:58.697006][5893.372367906], took 0.74min
2025-12-04T10:00:58.7007879Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-22ee5c8d6402d584.xml
2025-12-04T10:00:58.7872180Z Running test_sort_and_select 1/1 ... [2025-12-04 10:00:58.786933][5893.462297418]
2025-12-04T10:00:58.7872670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:58.7876297Z 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'] ... [2025-12-04 10:00:58.787352]
2025-12-04T10:01:08.5658296Z 
2025-12-04T10:01:08.5659320Z 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_4587e01ceb567145_.log
2025-12-04T10:01:08.5697714Z Running 113 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_complex_unsupported_cpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_slow_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_expanded_tensor_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_slice_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_restride_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_stable_none_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_4d_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu
2025-12-04T10:01:08.5736249Z 
2025-12-04T10:01:08.5736546Z Finished test_sort_and_select 1/1 ... [2025-12-04 10:01:08.565962][5903.241326522], took 0.16min
2025-12-04T10:01:08.5737567Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-645507fc747e18ae.xml
2025-12-04T10:01:08.6695978Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 10:01:08.669300][5903.344663419]
2025-12-04T10:01:08.6696559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:08.6699710Z 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'] ... [2025-12-04 10:01:08.669737]
2025-12-04T10:01:14.2922507Z 
2025-12-04T10:01:14.2923513Z 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_d9a4fc96c8a61386_.log
2025-12-04T10:01:14.2925173Z 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
2025-12-04T10:01:14.2926109Z 
2025-12-04T10:01:14.2926466Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 10:01:14.292055][5908.967420351], took 0.09min
2025-12-04T10:01:14.2961930Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-52d0d4646760d8e5.xml
2025-12-04T10:01:14.3312972Z Running test_cpp_api_parity 1/1 ... [2025-12-04 10:01:14.331053][5909.00641871]
2025-12-04T10:01:14.3313457Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:14.3316821Z 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'] ... [2025-12-04 10:01:14.331457]
2025-12-04T10:01:33.7748848Z 
2025-12-04T10:01:33.7749705Z 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_26951979d2a5da7d_.log
2025-12-04T10:01:33.7941574Z 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, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda
2025-12-04T10:01:33.8128977Z 
2025-12-04T10:01:33.8129266Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 10:01:33.775896][5928.451256386], took 0.32min
2025-12-04T10:01:33.8130296Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-dee9b7bc5d6218e2.xml
2025-12-04T10:01:33.8872162Z Running test_extension_utils 1/1 ... [2025-12-04 10:01:33.886951][5928.562313902]
2025-12-04T10:01:33.8872638Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:33.8875908Z 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'] ... [2025-12-04 10:01:33.887370]
2025-12-04T10:01:39.4635578Z 
2025-12-04T10:01:39.4636482Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_0f7408df8b7a93a6_.log
2025-12-04T10:01:39.4638002Z 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
2025-12-04T10:01:39.4638938Z 
2025-12-04T10:01:39.4639223Z Finished test_extension_utils 1/1 ... [2025-12-04 10:01:39.463427][5934.138791369], took 0.09min
2025-12-04T10:01:39.4704554Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-40632b1f51ba4807.xml
2025-12-04T10:01:39.5050720Z Running test_show_pickle 1/1 ... [2025-12-04 10:01:39.504808][5934.180171831]
2025-12-04T10:01:39.5051191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:39.5054199Z 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'] ... [2025-12-04 10:01:39.505219]
2025-12-04T10:01:45.1273328Z 
2025-12-04T10:01:45.1274243Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_3c7d99dcdb3c7071_.log
2025-12-04T10:01:45.1275244Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model
2025-12-04T10:01:45.1275666Z 
2025-12-04T10:01:45.1275944Z Finished test_show_pickle 1/1 ... [2025-12-04 10:01:45.127185][5939.802551214], took 0.09min
2025-12-04T10:01:45.1316861Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-5a0533a17352d920.xml
2025-12-04T10:01:45.1593775Z Running test_tensorexpr 1/1 ... [2025-12-04 10:01:45.159152][5939.834516635]
2025-12-04T10:01:45.1594246Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:45.1597444Z 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'] ... [2025-12-04 10:01:45.159537]
2025-12-04T10:04:34.0009998Z 
2025-12-04T10:04:34.0010978Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_9839765a4178b48e_.log
2025-12-04T10:04:34.0031536Z 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
2025-12-04T10:04:34.0051435Z 
2025-12-04T10:04:34.0051697Z Finished test_tensorexpr 1/1 ... [2025-12-04 10:04:34.000889][6108.676255479], took 2.81min
2025-12-04T10:04:34.0056895Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-52c38f1c6f8c73a3.xml
2025-12-04T10:04:34.1198554Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 10:04:34.119555][6108.794919228]
2025-12-04T10:04:34.1199089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:34.1201684Z 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'] ... [2025-12-04 10:04:34.119966]
2025-12-04T10:04:41.3446531Z 
2025-12-04T10:04:41.3447442Z 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_fb30154c2890a2c9_.log
2025-12-04T10:04:41.3449267Z 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
2025-12-04T10:04:41.3450463Z 
2025-12-04T10:04:41.3450776Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 10:04:41.344492][6116.019855824], took 0.12min
2025-12-04T10:04:41.3496133Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-b9f5d537cdeb5d23.xml
2025-12-04T10:04:41.4455347Z Running test_fake_tensor 1/1 ... [2025-12-04 10:04:41.445293][6116.120657378]
2025-12-04T10:04:41.4455788Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:41.4459534Z 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'] ... [2025-12-04 10:04:41.445736]
2025-12-04T10:05:02.3897023Z 
2025-12-04T10:05:02.3897812Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_3776f9c39d28fc18_.log
2025-12-04T10:05:02.4017806Z Running 299 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::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_gpu_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_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
2025-12-04T10:05:02.4134925Z 
2025-12-04T10:05:02.4135389Z Finished test_fake_tensor 1/1 ... [2025-12-04 10:05:02.390208][6137.065573543], took 0.35min
2025-12-04T10:05:02.4136371Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-5b72720469d709f2.xml
2025-12-04T10:05:02.5137816Z Running test_multiprocessing 1/1 ... [2025-12-04 10:05:02.513409][6137.188773677]
2025-12-04T10:05:02.5138341Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:02.5140881Z 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'] ... [2025-12-04 10:05:02.513849]
2025-12-04T10:05:32.4298029Z 
2025-12-04T10:05:32.4298899Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_a948c1dc5ea9999d_.log
2025-12-04T10:05:32.4313343Z 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
2025-12-04T10:05:32.4327113Z 
2025-12-04T10:05:32.4327411Z Finished test_multiprocessing 1/1 ... [2025-12-04 10:05:32.429700][6167.105064698], took 0.50min
2025-12-04T10:05:32.4350738Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-d55bde431951e5e5.xml
2025-12-04T10:05:32.5318094Z Running test_autograd_fallback 1/1 ... [2025-12-04 10:05:32.531522][6167.206885176]
2025-12-04T10:05:32.5318610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:32.5321509Z 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'] ... [2025-12-04 10:05:32.531934]
2025-12-04T10:05:38.4050030Z 
2025-12-04T10:05:38.4050964Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_aa1e5db84a377689_.log
2025-12-04T10:05:38.4063019Z 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
2025-12-04T10:05:38.4075076Z 
2025-12-04T10:05:38.4075384Z Finished test_autograd_fallback 1/1 ... [2025-12-04 10:05:38.404897][6173.08026171], took 0.10min
2025-12-04T10:05:38.4102123Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-3e8a7d52dda27c52.xml
2025-12-04T10:05:38.4433261Z Running test_autocast 1/1 ... [2025-12-04 10:05:38.443124][6173.118489327]
2025-12-04T10:05:38.4433707Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:38.4437087Z 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'] ... [2025-12-04 10:05:38.443504]
2025-12-04T10:05:47.2201666Z 
2025-12-04T10:05:47.2202532Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_df12a60f7a7b7253_.log
2025-12-04T10:05:47.2208880Z 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
2025-12-04T10:05:47.2214878Z 
2025-12-04T10:05:47.2215124Z Finished test_autocast 1/1 ... [2025-12-04 10:05:47.220023][6181.895386893], took 0.15min
2025-12-04T10:05:47.2257970Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-d2cfb69f8dbf9b6a.xml
2025-12-04T10:05:47.3172323Z Running test_jit_disabled 1/1 ... [2025-12-04 10:05:47.316966][6181.992329704]
2025-12-04T10:05:47.3172792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:47.3175837Z 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'] ... [2025-12-04 10:05:47.317374]
2025-12-04T10:05:53.0398155Z 
2025-12-04T10:05:53.0399007Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_a5c6dc71901a5cb4_.log
2025-12-04T10:05:53.0400531Z 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
2025-12-04T10:05:53.0401570Z 
2025-12-04T10:05:53.0401829Z Finished test_jit_disabled 1/1 ... [2025-12-04 10:05:53.039634][6187.71499958], took 0.10min
2025-12-04T10:05:53.0452584Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-9f7dcf87b6170169.xml
2025-12-04T10:05:53.0773979Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 10:05:53.077144][6187.752508876]
2025-12-04T10:05:53.0774512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:53.0777799Z 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'] ... [2025-12-04 10:05:53.077528]
2025-12-04T10:06:00.4028988Z 
2025-12-04T10:06:00.4029903Z 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_871304febb525989_.log
2025-12-04T10:06:00.4032795Z 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
2025-12-04T10:06:00.4035024Z 
2025-12-04T10:06:00.4035351Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 10:06:00.402718][6195.078081289], took 0.12min
2025-12-04T10:06:00.4085199Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-b4ccbb1370b7e4f4.xml
2025-12-04T10:06:00.5075022Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 10:06:00.507242][6195.182605597]
2025-12-04T10:06:00.5075565Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:00.5079282Z 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'] ... [2025-12-04 10:06:00.507698]
2025-12-04T10:06:08.1832483Z 
2025-12-04T10:06:08.1833561Z 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_e70dff8476496029_.log
2025-12-04T10:06:08.1842973Z 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
2025-12-04T10:06:08.1851831Z 
2025-12-04T10:06:08.1852208Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 10:06:08.183151][6202.858514284], took 0.13min
2025-12-04T10:06:08.1892269Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-71dd28c8b1605a5c.xml
2025-12-04T10:06:08.2821341Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 10:06:08.281854][6202.957218093]
2025-12-04T10:06:08.2821890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:08.2825340Z 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'] ... [2025-12-04 10:06:08.282307]
2025-12-04T10:06:15.5572816Z 
2025-12-04T10:06:15.5573799Z 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_502b1694d6a26274_.log
2025-12-04T10:06:15.5575071Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-12-04T10:06:15.5575632Z 
2025-12-04T10:06:15.5575988Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 10:06:15.557100][6210.232466208], took 0.12min
2025-12-04T10:06:15.5722977Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-56ef1953864ee0d9.xml
2025-12-04T10:06:15.6624772Z Running test_dispatch 1/1 ... [2025-12-04 10:06:15.662207][6210.337571702]
2025-12-04T10:06:15.6625226Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:15.6628410Z 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'] ... [2025-12-04 10:06:15.662628]
2025-12-04T10:07:27.3745297Z 
2025-12-04T10:07:27.3748172Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_f3304102cc6ce82e_.log
2025-12-04T10:07:27.3759374Z 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
2025-12-04T10:07:27.3769953Z 
2025-12-04T10:07:27.3770221Z Finished test_dispatch 1/1 ... [2025-12-04 10:07:27.374378][6282.049740136], took 1.20min
2025-12-04T10:07:27.3807183Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-e7ac716b0f2368c4.xml
2025-12-04T10:07:27.4596241Z Running nn/test_convolution 1/1 ... [2025-12-04 10:07:27.459333][6282.134697364]
2025-12-04T10:07:27.4596745Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:27.4599708Z 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'] ... [2025-12-04 10:07:27.459751]
2025-12-04T10:08:31.4341761Z 
2025-12-04T10:08:31.4342670Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_d43b5a996bf859cb_.log
2025-12-04T10:08:31.4690120Z Running 604 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::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_size_1_kernel_cpu, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_contiguous_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_mismatch_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_groups_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_no_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_stride_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_strided_with_3D_input_and_weight_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_depthwise_conv_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64
2025-12-04T10:08:31.5029876Z 
2025-12-04T10:08:31.5030180Z Finished nn/test_convolution 1/1 ... [2025-12-04 10:08:31.435516][6346.110877248], took 1.07min
2025-12-04T10:08:31.5031513Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-4bbf080031836b93.xml
2025-12-04T10:08:31.5504555Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 10:08:31.550140][6346.225503786]
2025-12-04T10:08:31.5505035Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:31.5508239Z 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'] ... [2025-12-04 10:08:31.550577]
2025-12-04T10:09:20.1357297Z 
2025-12-04T10:09:20.1358266Z 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_d377ecad35b88581_.log
2025-12-04T10:09:20.1372434Z Running 35 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_pch_command_injection, 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
2025-12-04T10:09:20.1385962Z 
2025-12-04T10:09:20.1386265Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 10:09:20.135731][6394.811094919], took 0.81min
2025-12-04T10:09:20.1423815Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-118c891e19dae991.xml
2025-12-04T10:09:20.6248523Z Uploading artifacts took 0.38 seconds
2025-12-04T10:09:20.6252850Z Running test_cuda_trace 1/1 ... [2025-12-04 10:09:20.625094][6395.300459307]
2025-12-04T10:09:20.6253425Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:20.6257602Z 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'] ... [2025-12-04 10:09:20.625521]
2025-12-04T10:09:25.8549082Z 
2025-12-04T10:09:25.8549973Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_22d49e01bb9ebb0f_.log
2025-12-04T10:09:25.8550719Z Running 0 items in this shard:
2025-12-04T10:09:25.8550912Z 
2025-12-04T10:09:25.8551181Z Finished test_cuda_trace 1/1 ... [2025-12-04 10:09:25.854742][6400.530104256], took 0.09min
2025-12-04T10:09:25.8613515Z Running test_native_mha 1/1 ... [2025-12-04 10:09:25.861187][6400.536553752]
2025-12-04T10:09:25.8613957Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:25.8617814Z 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'] ... [2025-12-04 10:09:25.861579]
2025-12-04T10:09:32.1355640Z 
2025-12-04T10:09:32.1356496Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_e51239daa17fd4e5_.log
2025-12-04T10:09:32.1377731Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32
2025-12-04T10:09:32.1398449Z 
2025-12-04T10:09:32.1406264Z Finished test_native_mha 1/1 ... [2025-12-04 10:09:32.140433][6406.815791902], took 0.10min
2025-12-04T10:09:32.1469295Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-ac893b3244b1621d.xml
2025-12-04T10:09:32.2512923Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 10:09:32.250981][6406.926344265]
2025-12-04T10:09:32.2513442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:32.2516830Z 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'] ... [2025-12-04 10:09:32.251434]
2025-12-04T10:09:37.4801592Z 
2025-12-04T10:09:37.4802856Z 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_c12d6b4df053047e_.log
2025-12-04T10:09:37.4803745Z Running 0 items in this shard:
2025-12-04T10:09:37.4803949Z 
2025-12-04T10:09:37.4804291Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 10:09:37.479990][6412.155356522], took 0.09min
2025-12-04T10:09:37.4873704Z Running test_mobile_optimizer 1/1 ... [2025-12-04 10:09:37.487161][6412.162527777]
2025-12-04T10:09:37.4874219Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:37.4877473Z 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'] ... [2025-12-04 10:09:37.487553]
2025-12-04T10:09:51.0762619Z 
2025-12-04T10:09:51.0763440Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_7486c9e617de4d9a_.log
2025-12-04T10:09:51.0766806Z 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
2025-12-04T10:09:51.0769476Z 
2025-12-04T10:09:51.0769761Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 10:09:51.076085][6425.751452612], took 0.23min
2025-12-04T10:09:51.0831412Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-6ec7c771d578c403.xml
2025-12-04T10:09:51.1724421Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 10:09:51.172152][6425.84751653]
2025-12-04T10:09:51.1724918Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:51.1728092Z 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'] ... [2025-12-04 10:09:51.172568]
2025-12-04T10:09:56.6167776Z 
2025-12-04T10:09:56.6168660Z 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_9237b068f4ff70d0_.log
2025-12-04T10:09:56.6169440Z Running 0 items in this shard:
2025-12-04T10:09:56.6169654Z 
2025-12-04T10:09:56.6169931Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 10:09:56.616616][6431.291981665], took 0.09min
2025-12-04T10:09:56.6240291Z Running distributions/test_distributions 1/1 ... [2025-12-04 10:09:56.623851][6431.299217764]
2025-12-04T10:09:56.6240920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:56.6244325Z 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'] ... [2025-12-04 10:09:56.624226]
2025-12-04T10:12:36.4664213Z 
2025-12-04T10:12:36.4665566Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_6dcfead3ade8a09e_.log
2025-12-04T10:12:36.4759675Z 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
2025-12-04T10:12:36.4848881Z 
2025-12-04T10:12:36.4849244Z Finished distributions/test_distributions 1/1 ... [2025-12-04 10:12:36.466754][6591.142118405], took 2.66min
2025-12-04T10:12:36.4850507Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-f1ea75d0de7e5f14.xml
2025-12-04T10:12:36.5851938Z Running test_autoload_disable 1/1 ... [2025-12-04 10:12:36.584861][6591.260224449]
2025-12-04T10:12:37.0315137Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T10:12:42.2352177Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T10:12:42.2375598Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T10:12:55.6965620Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T10:12:55.7267577Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=397ca32d5697e5e05d279789fbe1ce1fc34beb5bfe7692d77a2b97a97c7fde06
2025-12-04T10:12:55.7268951Z   Stored in directory: /tmp/pip-ephem-wheel-cache-laxtx_58/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T10:12:55.7295330Z Successfully built torch_test_cpp_extension
2025-12-04T10:12:56.3339790Z Installing collected packages: torch_test_cpp_extension
2025-12-04T10:12:56.5762284Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T10:13:01.0675771Z 
2025-12-04T10:13:01.0676217Z Running tests...
2025-12-04T10:13:01.0676600Z ----------------------------------------------------------------------
2025-12-04T10:13:01.2639810Z .
2025-12-04T10:13:01.2640185Z ----------------------------------------------------------------------
2025-12-04T10:13:01.2640569Z Ran 1 test in 0.196s
2025-12-04T10:13:01.2640741Z 
2025-12-04T10:13:01.2640822Z OK
2025-12-04T10:13:01.2640931Z 
2025-12-04T10:13:01.2641066Z Generating XML reports...
2025-12-04T10:13:02.0987479Z Finished test_autoload_disable 1/1 ... [2025-12-04 10:13:02.098358][6616.773714732], took 0.43min
2025-12-04T10:13:02.1055777Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204101301.xml
2025-12-04T10:13:02.2036661Z Running test_autoload_enable 1/1 ... [2025-12-04 10:13:02.203324][6616.878687942]
2025-12-04T10:13:02.6552256Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T10:13:07.9217146Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T10:13:07.9240486Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T10:13:21.3959152Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T10:13:21.4262020Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=5b764bd5a2bdbdf595cae41c3cd526b7ca538ba4d8e27a0868f0d05a1ecf3a25
2025-12-04T10:13:21.4263603Z   Stored in directory: /tmp/pip-ephem-wheel-cache-vrm_ywus/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T10:13:21.4288119Z Successfully built torch_test_cpp_extension
2025-12-04T10:13:22.0387776Z Installing collected packages: torch_test_cpp_extension
2025-12-04T10:13:22.2799954Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T10:13:26.7478950Z 
2025-12-04T10:13:26.7479499Z Running tests...
2025-12-04T10:13:26.7479920Z ----------------------------------------------------------------------
2025-12-04T10:13:26.9436760Z .
2025-12-04T10:13:26.9437142Z ----------------------------------------------------------------------
2025-12-04T10:13:26.9437539Z Ran 1 test in 0.196s
2025-12-04T10:13:26.9437696Z 
2025-12-04T10:13:26.9437804Z OK
2025-12-04T10:13:26.9437915Z 
2025-12-04T10:13:26.9438025Z Generating XML reports...
2025-12-04T10:13:27.7757724Z Finished test_autoload_enable 1/1 ... [2025-12-04 10:13:27.775367][6642.450724339], took 0.43min
2025-12-04T10:13:27.7828962Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204101326.xml
2025-12-04T10:13:27.8850137Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 10:13:27.884697][6642.560060093]
2025-12-04T10:13:28.3775739Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T10:13:33.6266662Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T10:13:33.6290444Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T10:13:44.4050723Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - done
2025-12-04T10:13:44.4123386Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=2185946 sha256=7e91160bc746ca2226165cd29139d53b4d167f3ffb09f9613f75468f475a28f9
2025-12-04T10:13:44.4124762Z   Stored in directory: /tmp/pip-ephem-wheel-cache-if8lp5jv/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T10:13:44.4150450Z Successfully built torch_test_cpp_extension
2025-12-04T10:13:45.0206658Z Installing collected packages: torch_test_cpp_extension
2025-12-04T10:13:45.0834255Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T10:13:45.6144694Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T10:13:49.2794655Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T10:13:49.2818278Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T10:13:53.5313249Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done
2025-12-04T10:13:53.5322276Z [?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=2983 sha256=51cc492564055b36a5994ed185d05bde0a7182a48f240ac27fead40c576d747b
2025-12-04T10:13:53.5323622Z   Stored in directory: /tmp/pip-ephem-wheel-cache-48m1b4di/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-12-04T10:13:53.5348311Z Successfully built no_python_abi_suffix_test
2025-12-04T10:13:54.1382629Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T10:13:54.1514667Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T10:13:54.2399169Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:13:54.2402961Z 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'] ... [2025-12-04 10:13:54.240055]
2025-12-04T10:13:59.8941344Z 
2025-12-04T10:13:59.8942461Z 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_0e191e2dbf984dd9_.log
2025-12-04T10:13:59.8951084Z 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
2025-12-04T10:13:59.8958552Z 
2025-12-04T10:13:59.8958861Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 10:13:59.894085][6674.56944979], took 0.53min
2025-12-04T10:13:59.9016617Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-5ea6c97946172ba0.xml
2025-12-04T10:14:00.0065668Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 10:14:00.006294][6674.68165784]
2025-12-04T10:14:00.4547982Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T10:14:05.6720060Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T10:14:05.6743194Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T10:14:19.0870858Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T10:14:19.1173223Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=5ec66b6b03a6b73b45f46795c22c67a51df447803d9c144769c964e9a77429ad
2025-12-04T10:14:19.1174620Z   Stored in directory: /tmp/pip-ephem-wheel-cache-iic0765w/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T10:14:19.1199649Z Successfully built torch_test_cpp_extension
2025-12-04T10:14:19.7179474Z Installing collected packages: torch_test_cpp_extension
2025-12-04T10:14:19.9596971Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T10:14:20.4976585Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T10:14:24.1621711Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T10:14:24.1644753Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T10:14:28.1629066Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done
2025-12-04T10:14:28.1638080Z [?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=2983 sha256=0137bd9b258637b78abaada511ff61c2f515437f5196b4d9152ffe4bbdd2ed92
2025-12-04T10:14:28.1639427Z   Stored in directory: /tmp/pip-ephem-wheel-cache-12d4fkdf/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-12-04T10:14:28.1663429Z Successfully built no_python_abi_suffix_test
2025-12-04T10:14:28.7687210Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T10:14:28.7814021Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T10:14:28.8695600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:14:28.8700046Z 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'] ... [2025-12-04 10:14:28.869758]
2025-12-04T10:14:34.6091131Z 
2025-12-04T10:14:34.6092246Z 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_80b6369eb540e788_.log
2025-12-04T10:14:34.6100559Z 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
2025-12-04T10:14:34.6108204Z 
2025-12-04T10:14:34.6108533Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 10:14:34.609037][6709.284401166], took 0.58min
2025-12-04T10:14:34.6216753Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-81c2de770641ab3b.xml
2025-12-04T10:14:34.7180595Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 10:14:34.717760][6709.393124581]
2025-12-04T10:14:34.7181166Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:14:34.7184154Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_collective_autotuning.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'] ... [2025-12-04 10:14:34.718179]
2025-12-04T10:14:38.1227042Z 
2025-12-04T10:14:38.1228233Z inductor/test_collective_autotuning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_collective_autotuning_1.1_3939fe02334e0c3c_.log
2025-12-04T10:14:38.1229067Z 
2025-12-04T10:14:38.1229419Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 10:14:38.122476][6712.797842532], took 0.06min
2025-12-04T10:14:38.1305586Z Running inductor/test_smoke 1/1 ... [2025-12-04 10:14:38.130330][6712.805696067]
2025-12-04T10:14:38.1306077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:14:38.1309948Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.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'] ... [2025-12-04 10:14:38.130779]
2025-12-04T10:14:51.8779117Z 
2025-12-04T10:14:51.8780043Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_07fc7ca41bc9fb8f_.log
2025-12-04T10:14:51.8780727Z 
2025-12-04T10:14:51.8781005Z Finished inductor/test_smoke 1/1 ... [2025-12-04 10:14:51.877722][6726.55308812], took 0.23min
2025-12-04T10:14:51.8860697Z Running inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 10:14:51.885875][6726.561241263]
2025-12-04T10:14:51.8861495Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:14:51.8864677Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_cpu_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:14:51.886249]
2025-12-04T10:15:06.0488612Z 
2025-12-04T10:15:06.0489870Z inductor/test_triton_cpu_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_cpu_backend_1.1_d8d6f1016c768543_.log
2025-12-04T10:15:06.0490804Z 
2025-12-04T10:15:06.0491144Z Finished inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 10:15:06.048635][6740.723998419], took 0.24min
2025-12-04T10:15:06.0571231Z Running inductor/test_subgraph_choice 1/1 ... [2025-12-04 10:15:06.056885][6740.732251569]
2025-12-04T10:15:06.0571743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:06.0575114Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_subgraph_choice.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'] ... [2025-12-04 10:15:06.057299]
2025-12-04T10:15:19.6533584Z 
2025-12-04T10:15:19.6534518Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_3ae36bdcac03c395_.log
2025-12-04T10:15:19.6535303Z 
2025-12-04T10:15:19.6535654Z Finished inductor/test_subgraph_choice 1/1 ... [2025-12-04 10:15:19.653140][6754.328504709], took 0.23min
2025-12-04T10:15:19.6615564Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 10:15:19.661378][6754.336744032]
2025-12-04T10:15:19.6616113Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:19.6620064Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.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'] ... [2025-12-04 10:15:19.661780]
2025-12-04T10:15:26.5117125Z 
2025-12-04T10:15:26.5118063Z inductor/test_flex_flash 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_flash_1.1_ab54e25ed83e2bd3_.log
2025-12-04T10:15:26.5118917Z Running 0 items in this shard:
2025-12-04T10:15:26.5119108Z 
2025-12-04T10:15:26.5119419Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 10:15:26.511540][6761.186904187], took 0.11min
2025-12-04T10:15:26.5194236Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-3ade48379f2089f2.xml
2025-12-04T10:15:26.6032229Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:15:26.602912][6761.278275578]
2025-12-04T10:15:26.6032797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:26.6035368Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:15:26.603304]
2025-12-04T10:15:40.2005593Z 
2025-12-04T10:15:40.2006654Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_eaaae1f0b957beef_.log
2025-12-04T10:15:40.2007761Z 
2025-12-04T10:15:40.2008129Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:15:40.200344][6774.875710505], took 0.23min
2025-12-04T10:15:40.2088720Z Running inductor/test_control_deps 1/1 ... [2025-12-04 10:15:40.208682][6774.884049055]
2025-12-04T10:15:40.2089280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:40.2093057Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_deps.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'] ... [2025-12-04 10:15:40.209091]
2025-12-04T10:15:53.9419501Z 
2025-12-04T10:15:53.9420435Z inductor/test_control_deps 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_deps_1.1_a43993a0735429c5_.log
2025-12-04T10:15:53.9421206Z 
2025-12-04T10:15:53.9421516Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 10:15:53.941720][6788.617085592], took 0.23min
2025-12-04T10:15:53.9643285Z Running inductor/test_profiler 1/1 ... [2025-12-04 10:15:53.964058][6788.639423266]
2025-12-04T10:15:53.9643803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:53.9646963Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:15:53.964460]
2025-12-04T10:16:07.7533331Z 
2025-12-04T10:16:07.7534239Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_1ddcf497ca15e11d_.log
2025-12-04T10:16:07.7534936Z 
2025-12-04T10:16:07.7535248Z Finished inductor/test_profiler 1/1 ... [2025-12-04 10:16:07.753111][6802.428477543], took 0.23min
2025-12-04T10:16:07.7612433Z Running inductor/test_mix_order_reduction 1/1 ... [2025-12-04 10:16:07.761011][6802.436376524]
2025-12-04T10:16:07.7612961Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:07.7616500Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mix_order_reduction.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'] ... [2025-12-04 10:16:07.761410]
2025-12-04T10:16:21.5228131Z 
2025-12-04T10:16:21.5229376Z inductor/test_mix_order_reduction 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mix_order_reduction_1.1_2c3a0ccd8eba8a2e_.log
2025-12-04T10:16:21.5230250Z 
2025-12-04T10:16:21.5230592Z Finished inductor/test_mix_order_reduction 1/1 ... [2025-12-04 10:16:21.522604][6816.197970911], took 0.23min
2025-12-04T10:16:21.5310458Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 10:16:21.530849][6816.206215623]
2025-12-04T10:16:21.5310976Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:21.5314559Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:16:21.531248]
2025-12-04T10:16:35.3659305Z 
2025-12-04T10:16:35.3660257Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_8a44b4fc41f71961_.log
2025-12-04T10:16:35.3661242Z 
2025-12-04T10:16:35.3661571Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 10:16:35.365702][6830.041065845], took 0.23min
2025-12-04T10:16:35.3746568Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 10:16:35.374451][6830.049817248]
2025-12-04T10:16:35.3747103Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:35.3750688Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_fa4.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'] ... [2025-12-04 10:16:35.374860]
2025-12-04T10:16:40.9838747Z 
2025-12-04T10:16:40.9839633Z nn/attention/test_fa4 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_fa4_1.1_f586d03fe3183063_.log
2025-12-04T10:16:40.9840434Z Running 0 items in this shard:
2025-12-04T10:16:40.9840624Z 
2025-12-04T10:16:40.9841133Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 10:16:40.983721][6835.659086906], took 0.09min
2025-12-04T10:16:40.9922466Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-291db1f0bf03c756.xml
2025-12-04T10:16:41.0749979Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:16:41.074737][6835.750100442]
2025-12-04T10:16:41.0750480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:41.0753946Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.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'] ... [2025-12-04 10:16:41.075165]
2025-12-04T10:16:46.3858809Z 
2025-12-04T10:16:46.3859649Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_3174736c6e2a4e57_.log
2025-12-04T10:16:46.3860433Z Running 0 items in this shard:
2025-12-04T10:16:46.3860654Z 
2025-12-04T10:16:46.3860980Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:16:46.385722][6841.061088124], took 0.09min
2025-12-04T10:16:46.3938769Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-bf9a8d86df2974c2.xml
2025-12-04T10:16:46.4243848Z Running functorch/test_aotdispatch 8/13 ... [2025-12-04 10:16:46.424159][6841.099523704]
2025-12-04T10:16:46.4244365Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:46.4248286Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=8', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:16:46.424575]
2025-12-04T10:16:54.9509861Z 
2025-12-04T10:16:54.9510849Z functorch/test_aotdispatch 8/13 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_8.13_e6e53a3c33d659a2_.log
2025-12-04T10:16:54.9511726Z Running 0 items in this shard:
2025-12-04T10:16:54.9511930Z 
2025-12-04T10:16:54.9512242Z Finished functorch/test_aotdispatch 8/13 ... [2025-12-04 10:16:54.950861][6849.62622656], took 0.14min
2025-12-04T10:16:54.9596093Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-f5ad8867253b74cc.xml
2025-12-04T10:16:55.0573452Z Running test_accelerator 1/1 ... [2025-12-04 10:16:55.057061][6849.732424972]
2025-12-04T10:16:55.0573935Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:55.0576898Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_accelerator.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'] ... [2025-12-04 10:16:55.057473]
2025-12-04T10:17:00.2212418Z 
2025-12-04T10:17:00.2213296Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_d8bfe2fc4fcbbaaf_.log
2025-12-04T10:17:00.2214176Z 
2025-12-04T10:17:00.2214443Z Finished test_accelerator 1/1 ... [2025-12-04 10:17:00.221031][6854.896396026], took 0.09min
2025-12-04T10:17:05.2562249Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 10:17:05.255863][6859.931225902]
2025-12-04T10:17:05.2563157Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:05.2563784Z Running inductor/test_smoke 1/1 ... [2025-12-04 10:17:05.256182][6859.931545366]
2025-12-04T10:17:05.2564327Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:05.2565771Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_collective_autotuning.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'] ... [2025-12-04 10:17:05.256357]
2025-12-04T10:17:05.2569194Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.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'] ... [2025-12-04 10:17:05.256672]
2025-12-04T10:17:05.2636199Z Running inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 10:17:05.262604][6859.937967431]
2025-12-04T10:17:05.2636904Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:05.2638234Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_cpu_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:17:05.263087]
2025-12-04T10:17:08.8053335Z 
2025-12-04T10:17:08.8054698Z inductor/test_collective_autotuning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_collective_autotuning_1.1_9f4ff0c490e51813_.log
2025-12-04T10:17:08.8055660Z 
2025-12-04T10:17:08.8056023Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 10:17:08.805325][6863.480690126], took 0.06min
2025-12-04T10:17:14.7147813Z Running inductor/test_subgraph_choice 1/1 ... [2025-12-04 10:17:14.714353][6869.389715264]
2025-12-04T10:17:14.7148406Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:14.7151978Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_subgraph_choice.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'] ... [2025-12-04 10:17:14.714920]
2025-12-04T10:17:20.0930267Z 
2025-12-04T10:17:20.0931677Z inductor/test_triton_cpu_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_cpu_backend_1.1_689493c1443ef7dd_.log
2025-12-04T10:17:20.0932816Z 
2025-12-04T10:17:20.0933378Z Finished inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 10:17:20.092796][6874.768162319], took 0.25min
2025-12-04T10:17:23.4640423Z 
2025-12-04T10:17:23.4641478Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_1d18736957b96fee_.log
2025-12-04T10:17:23.4642193Z 
2025-12-04T10:17:23.4642477Z Finished inductor/test_smoke 1/1 ... [2025-12-04 10:17:23.463802][6878.139167728], took 0.30min
2025-12-04T10:17:26.1812496Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 10:17:26.180835][6880.856198087]
2025-12-04T10:17:26.1813313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:26.1817533Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.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'] ... [2025-12-04 10:17:26.181378]
2025-12-04T10:17:29.2860620Z 
2025-12-04T10:17:29.2861862Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_bfaa1f9ddb4b0e3c_.log
2025-12-04T10:17:29.2862624Z 
2025-12-04T10:17:29.2862968Z Finished inductor/test_subgraph_choice 1/1 ... [2025-12-04 10:17:29.285866][6883.961226264], took 0.24min
2025-12-04T10:17:29.4787730Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:17:29.478400][6884.153759703]
2025-12-04T10:17:29.4788327Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:29.4792532Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:17:29.478975]
2025-12-04T10:17:33.3986479Z 
2025-12-04T10:17:33.3987887Z inductor/test_flex_flash 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_flash_1.1_75b03153a58d128a_.log
2025-12-04T10:17:33.3988829Z Running 0 items in this shard:
2025-12-04T10:17:33.3989072Z 
2025-12-04T10:17:33.3989383Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 10:17:33.398713][6888.074076154], took 0.12min
2025-12-04T10:17:33.4072054Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-d9a135137ba08c3f.xml
2025-12-04T10:17:35.2373434Z Running inductor/test_control_deps 1/1 ... [2025-12-04 10:17:35.236901][6889.912263633]
2025-12-04T10:17:35.2373999Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:35.2377065Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_deps.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'] ... [2025-12-04 10:17:35.237430]
2025-12-04T10:17:39.4156340Z Running inductor/test_profiler 1/1 ... [2025-12-04 10:17:39.415243][6894.090606108]
2025-12-04T10:17:39.4156866Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:39.4160028Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:17:39.415759]
2025-12-04T10:17:43.9712765Z 
2025-12-04T10:17:43.9713840Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_5c42cae865beb50a_.log
2025-12-04T10:17:43.9714687Z 
2025-12-04T10:17:43.9715050Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:17:43.971078][6898.646440843], took 0.24min
2025-12-04T10:17:49.9868922Z Running inductor/test_mix_order_reduction 1/1 ... [2025-12-04 10:17:49.986545][6904.661904968]
2025-12-04T10:17:49.9869507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:49.9873111Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mix_order_reduction.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'] ... [2025-12-04 10:17:49.987087]
2025-12-04T10:17:50.0101364Z 
2025-12-04T10:17:50.0102475Z inductor/test_control_deps 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_deps_1.1_5e016debbf530124_.log
2025-12-04T10:17:50.0103218Z 
2025-12-04T10:17:50.0103532Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 10:17:50.009881][6904.685248076], took 0.25min
2025-12-04T10:17:54.1905697Z 
2025-12-04T10:17:54.1906964Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_87018779bb8b4ebe_.log
2025-12-04T10:17:54.1907672Z 
2025-12-04T10:17:54.1908217Z Finished inductor/test_profiler 1/1 ... [2025-12-04 10:17:54.190345][6908.865711393], took 0.25min
2025-12-04T10:17:56.0105813Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 10:17:56.010190][6910.685552853]
2025-12-04T10:17:56.0106359Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:56.0109391Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:17:56.010675]
2025-12-04T10:18:00.2181789Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 10:18:00.217747][6914.893110024]
2025-12-04T10:18:00.2182761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:00.2186655Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_fa4.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'] ... [2025-12-04 10:18:00.218270]
2025-12-04T10:18:04.7208664Z 
2025-12-04T10:18:04.7209923Z inductor/test_mix_order_reduction 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mix_order_reduction_1.1_b91b1f32509e98f4_.log
2025-12-04T10:18:04.7210739Z 
2025-12-04T10:18:04.7211079Z Finished inductor/test_mix_order_reduction 1/1 ... [2025-12-04 10:18:04.720652][6919.396018971], took 0.25min
2025-12-04T10:18:06.2415082Z 
2025-12-04T10:18:06.2416417Z nn/attention/test_fa4 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_fa4_1.1_2d27326c8086507d_.log
2025-12-04T10:18:06.2417271Z Running 0 items in this shard:
2025-12-04T10:18:06.2417480Z 
2025-12-04T10:18:06.2417765Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 10:18:06.241561][6920.916924161], took 0.10min
2025-12-04T10:18:06.2501569Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-4406e378597a6498.xml
2025-12-04T10:18:10.7196232Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:18:10.719251][6925.394614897]
2025-12-04T10:18:10.7196739Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:10.7199977Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.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'] ... [2025-12-04 10:18:10.719759]
2025-12-04T10:18:10.7928452Z 
2025-12-04T10:18:10.7929408Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_73b4a70db97e5634_.log
2025-12-04T10:18:10.7930164Z 
2025-12-04T10:18:10.7930472Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 10:18:10.792656][6925.468022855], took 0.25min
2025-12-04T10:18:12.2870509Z Running functorch/test_aotdispatch 8/13 ... [2025-12-04 10:18:12.286665][6926.962015971]
2025-12-04T10:18:12.2871557Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:12.2874651Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=8', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:18:12.287204]
2025-12-04T10:18:16.3637316Z 
2025-12-04T10:18:16.3638342Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_175036a6475cc16b_.log
2025-12-04T10:18:16.3639237Z Running 0 items in this shard:
2025-12-04T10:18:16.3639508Z 
2025-12-04T10:18:16.3639883Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:18:16.363689][6931.039054919], took 0.09min
2025-12-04T10:18:16.3879515Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-9b0832b81ad86620.xml
2025-12-04T10:18:16.8008329Z Running test_accelerator 1/1 ... [2025-12-04 10:18:16.800479][6931.475841958]
2025-12-04T10:18:16.8008820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:16.8013568Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_accelerator.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'] ... [2025-12-04 10:18:16.801004]
2025-12-04T10:18:22.2127241Z 
2025-12-04T10:18:22.2130174Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_0766531efb5363f1_.log
2025-12-04T10:18:22.2131231Z 
2025-12-04T10:18:22.2131666Z Finished test_accelerator 1/1 ... [2025-12-04 10:18:22.212628][6936.887991709], took 0.09min
2025-12-04T10:25:41.1003855Z 
2025-12-04T10:25:41.1004703Z functorch/test_aotdispatch 8/13 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_8.13_c045d4aa30ce3c75_.log
2025-12-04T10:25:41.1166315Z Running 272 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_on_grad_out, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_embedding_bag_view_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_grad_context, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_requires_grad_detach, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nested_subclasses_non_homogenous, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_view_and_inplace_view, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_composite_implicit_inplace, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_func_composite_implicit, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_reshape, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_inductor_freezing_with_subclasses, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_saved_tensors_hooks_base_saved_tensors_hooks_filtering_mode_all, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_saved_tensors_hooks_base_saved_tensors_hooks_filtering_mode_donated, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_nnc_passthrough_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive___rmatmul___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive__native_batch_norm_legit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_addbmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_column_stack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_cond_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_empty_strided_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_eye_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_fft_hfft2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_flex_attention_backward_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_flipud_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_full_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_invoke_subgraph_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_le_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_linalg_eigvalsh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_linspace_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_log_softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_logcumsumexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_logspace_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_masked_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_masked_softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_movedim_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_narrow_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_softshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nonzero_static_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_norm_nuc_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_normal_number_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_ones_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_polar_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_polygamma_polygamma_n_1_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_gather_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_reduce_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_reduce_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_int_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isinf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_item_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_eigh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_ldl_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lstsq_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_qr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log10_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lu_unpack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_map_triple_nested_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_argmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_log_softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_minimum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_native_layer_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_conv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_instance_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_local_response_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_silu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nonzero_static_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_rad2deg_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_resize__cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_reduce_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_select_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_short_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_kaiser_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signbit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sinh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sparse_sampled_addmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_entr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_erfcx_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_ndtri_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_zeta_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_zeros_like_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_BCEWithLogitsLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_CircularPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ConvTranspose1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_CrossEntropyLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GRUCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GroupNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LogSigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MSELoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Conv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm2d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LeakyReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MSELoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MaxPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_PReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReplicationPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ZeroPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_compilation_context, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_and_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_activations_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mutations_in_bw_detached_from_tangent, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_complicated_inps_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_composite_impl_compile, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dynamic_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dynamic_shape_output_not_in_bw_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_no_grad_inference_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_simple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_output_requires_grad_input_doesnt
2025-12-04T10:25:41.1321949Z 
2025-12-04T10:25:41.1322287Z Finished functorch/test_aotdispatch 8/13 ... [2025-12-04 10:25:41.101238][7375.77660236], took 7.48min
2025-12-04T10:25:41.1323537Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-625e5fdadbbce99f.xml
2025-12-04T10:25:42.1686799Z Running test batch 'tests to run' cost 6598.27 seconds
2025-12-04T10:25:43.4602755Z 
2025-12-04T10:25:43.4603190Z real	110m6.944s
2025-12-04T10:25:43.4603452Z user	193m7.110s
2025-12-04T10:25:43.4603682Z sys	24m34.011s
2025-12-04T10:25:43.4603905Z + assert_git_not_dirty
2025-12-04T10:25:43.4604204Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]]
2025-12-04T10:25:43.4604828Z + [[ linux-jammy-py3.10-clang18-asan != *xla* ]]
2025-12-04T10:25:43.4609522Z ++ git status --porcelain
2025-12-04T10:25:43.4610279Z ++ grep -v '?? third_party'
2025-12-04T10:26:28.2957597Z ++ true
2025-12-04T10:26:28.2958139Z + git_status=
2025-12-04T10:26:28.2958586Z + [[ -n '' ]]
2025-12-04T10:26:28.2958939Z + test_aten
2025-12-04T10:26:28.2971472Z + echo 'Running ATen tests with pytorch lib'
2025-12-04T10:26:28.2972193Z Running ATen tests with pytorch lib
2025-12-04T10:26:28.2972483Z + [[ -n '' ]]
2025-12-04T10:26:28.2972739Z + echo 'Running test with the build folder'
2025-12-04T10:26:28.2973981Z Running test with the build folder
2025-12-04T10:26:28.2974327Z + TEST_BASE_DIR=build/bin
2025-12-04T10:26:28.2974794Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so build/bin
2025-12-04T10:26:28.3056599Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2*' build/bin
2025-12-04T10:26:28.3108904Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin
2025-12-04T10:26:28.3160309Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin
2025-12-04T10:26:28.3209974Z + 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_global_deps.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
2025-12-04T10:26:28.3258144Z + ls build/bin
2025-12-04T10:26:28.3334637Z  BackoffTest			       cpu_generator_test
2025-12-04T10:26:28.3335179Z  CMakeFiles			       cpu_profiling_allocator_test
2025-12-04T10:26:28.3335684Z  CTestTestfile.cmake		       cpu_rng_test
2025-12-04T10:26:28.3336121Z  CppSignature_test		       dlconvertor_test
2025-12-04T10:26:28.3336465Z  Dict_test			       example_allreduce
2025-12-04T10:26:28.3336829Z  Dimname_test			       extension_backend_test
2025-12-04T10:26:28.3337157Z  FileStoreTest			       half_test
2025-12-04T10:26:28.3337492Z  HashStoreTest			       inline_container_test
2025-12-04T10:26:28.3337840Z  IListRef_test			       ivalue_test
2025-12-04T10:26:28.3338210Z  KernelFunction_test		       kernel_function_legacy_test
2025-12-04T10:26:28.3338596Z  List_test			       kernel_function_test
2025-12-04T10:26:28.3338956Z  MaybeOwned_test		       kernel_lambda_legacy_test
2025-12-04T10:26:28.3339335Z  NamedTensor_test		       kernel_lambda_test
2025-12-04T10:26:28.3339717Z  ProcessGroupGlooTest		       kernel_stackbased_test
2025-12-04T10:26:28.3340108Z  StorageUtils_test		       lazy_tensor_test
2025-12-04T10:26:28.3340444Z  TCPStoreTest			       legacy_vmap_test
2025-12-04T10:26:28.3340758Z  apply_utils_test		       libc10.so
2025-12-04T10:26:28.3341058Z  atest				      'libcaffe2*'
2025-12-04T10:26:28.3341361Z  backend_fallback_test		      'libmkldnn*'
2025-12-04T10:26:28.3341667Z  basic				      'libnccl*'
2025-12-04T10:26:28.3342095Z  broadcast_test			       libtorch.so
2025-12-04T10:26:28.3342438Z  c10_AllocatorConfig_test	       libtorch_cpu.so
2025-12-04T10:26:28.3342841Z  c10_ArrayRef_test		       libtorch_global_deps.so
2025-12-04T10:26:28.3343199Z  c10_Bitset_test		       libtorch_python.so
2025-12-04T10:26:28.3343662Z  c10_CompileTimeFunctionPointer_test   libtorchbind_test.so
2025-12-04T10:26:28.3344303Z  c10_ConstexprCrc_test		       make_boxed_from_unboxed_functor_test
2025-12-04T10:26:28.3344764Z  c10_DeadlockDetection_test	       math_kernel_test
2025-12-04T10:26:28.3345144Z  c10_DeviceGuard_test		       memory_format_test
2025-12-04T10:26:28.3345520Z  c10_Device_test		       memory_overlapping_test
2025-12-04T10:26:28.3345916Z  c10_DispatchKeySet_test	       mobile_memory_cleanup
2025-12-04T10:26:28.3346433Z  c10_Enumerate_test		       native_test
2025-12-04T10:26:28.3346843Z  c10_Half_test			       op_allowlist_test
2025-12-04T10:26:28.3347228Z  c10_InlineDeviceGuard_test	       op_registration_test
2025-12-04T10:26:28.3347715Z  c10_InlineStreamGuard_test	       operator_name_test
2025-12-04T10:26:28.3348113Z  c10_IntrusiveList_test		       operators_test
2025-12-04T10:26:28.3348513Z  c10_LeftRight_test		       packedtensoraccessor_test
2025-12-04T10:26:28.3348919Z  c10_NetworkFlow_test		       parallel_benchmark
2025-12-04T10:26:28.3349261Z  c10_Scalar_test		       pow_test
2025-12-04T10:26:28.3349570Z  c10_Semaphore_test		       protoc
2025-12-04T10:26:28.3349905Z  c10_SizesAndStrides_test	       protoc-3.13.0.0
2025-12-04T10:26:28.3350314Z  c10_StreamGuard_test		       quantized_test
2025-12-04T10:26:28.3350652Z  c10_SymInt_test		       reduce_ops_test
2025-12-04T10:26:28.3351021Z  c10_Synchronized_test		       reportMemoryUsage_test
2025-12-04T10:26:28.3351403Z  c10_ThreadLocal_test		       scalar_tensor_test
2025-12-04T10:26:28.3351756Z  c10_TypeIndex_test		       scalar_test
2025-12-04T10:26:28.3352103Z  c10_accumulate_test		       static_runtime_bench
2025-12-04T10:26:28.3352463Z  c10_bfloat16_test		       static_runtime_test
2025-12-04T10:26:28.3352832Z  c10_bit_cast_test		       stride_properties_test
2025-12-04T10:26:28.3353217Z  c10_complex_math_test		       tensor_iterator_test
2025-12-04T10:26:28.3353595Z  c10_complex_test		       test_aoti_abi_check
2025-12-04T10:26:28.3353908Z  c10_cow_test			       test_api
2025-12-04T10:26:28.3354201Z  c10_error_test			       test_cpp_rpc
2025-12-04T10:26:28.3354535Z  c10_exception_test		       test_dist_autograd
2025-12-04T10:26:28.3354858Z  c10_flags_test			       test_jit
2025-12-04T10:26:28.3355162Z  c10_generic_math_test		       test_lazy
2025-12-04T10:26:28.3355514Z  c10_intrusive_ptr_benchmark	       test_parallel
2025-12-04T10:26:28.3355886Z  c10_intrusive_ptr_test		       test_vec_half_AVX2
2025-12-04T10:26:28.3356259Z  c10_irange_test		       test_vec_half_AVX512
2025-12-04T10:26:28.3356608Z  c10_lazy_test			       test_vec_half_DEFAULT
2025-12-04T10:26:28.3356948Z  c10_logging_test		       thread_init_test
2025-12-04T10:26:28.3357276Z  c10_nofatal_test		       torch_shm_manager
2025-12-04T10:26:28.3357613Z  c10_optional_test		       type_ptr_test
2025-12-04T10:26:28.3357967Z  c10_ordered_preserving_dict_test      type_test
2025-12-04T10:26:28.3358328Z  c10_registry_test		       undefined_tensor_test
2025-12-04T10:26:28.3358715Z  c10_small_vector_test		       vec_test_all_types_AVX2
2025-12-04T10:26:28.3359113Z  c10_ssize_test			       vec_test_all_types_AVX512
2025-12-04T10:26:28.3359504Z  c10_string_util_test		       vec_test_all_types_DEFAULT
2025-12-04T10:26:28.3359911Z  c10_string_view_test		       verify_api_visibility
2025-12-04T10:26:28.3360278Z  c10_tempfile_test		       weakref_test
2025-12-04T10:26:28.3360591Z  c10_typeid_test		       wrapdim_test
2025-12-04T10:26:28.3360928Z  cmake_install.cmake		       xla_tensor_test
2025-12-04T10:26:28.3361251Z  cpu_allocator_test
2025-12-04T10:26:28.3361518Z + aten/tools/run_tests.sh build/bin
2025-12-04T10:26:28.3404730Z + set -e
2025-12-04T10:26:28.3427304Z ++ dirname aten/tools/run_tests.sh
2025-12-04T10:26:28.3482504Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2025-12-04T10:26:28.3488194Z + export CPP_TESTS_DIR=build/bin
2025-12-04T10:26:28.3488505Z + CPP_TESTS_DIR=build/bin
2025-12-04T10:26:28.3488770Z + VALGRIND=OFF
2025-12-04T10:26:28.3492358Z + 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
2025-12-04T10:26:35.5022910Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:26:35.5149488Z Found test times from artifacts
2025-12-04T10:26:35.5654924Z Found test times from artifacts
2025-12-04T10:26:35.5671043Z Running all tests
2025-12-04T10:26:35.5675734Z Running parallel tests on 3 processes
2025-12-04T10:26:35.5677892Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:26:35.5678208Z   Serial tests (0):
2025-12-04T10:26:35.5678475Z   Parallel tests (19):
2025-12-04T10:26:35.5678717Z     cpp/Dict_test 1/1
2025-12-04T10:26:35.5678982Z     cpp/Dimname_test 1/1
2025-12-04T10:26:35.5679255Z     cpp/NamedTensor_test 1/1
2025-12-04T10:26:35.5679540Z     cpp/apply_utils_test 1/1
2025-12-04T10:26:35.5679797Z     cpp/atest 1/1
2025-12-04T10:26:35.5680026Z     cpp/basic 1/1
2025-12-04T10:26:35.5680366Z     cpp/broadcast_test 1/1
2025-12-04T10:26:35.5680635Z     cpp/cpu_generator_test 1/1
2025-12-04T10:26:35.5680929Z     cpp/dlconvertor_test 1/1
2025-12-04T10:26:35.5681221Z     cpp/extension_backend_test 1/1
2025-12-04T10:26:35.5681512Z     cpp/lazy_tensor_test 1/1
2025-12-04T10:26:35.5681788Z     cpp/legacy_vmap_test 1/1
2025-12-04T10:26:35.5682059Z     cpp/native_test 1/1
2025-12-04T10:26:35.5682303Z     cpp/operators_test 1/1
2025-12-04T10:26:35.5682589Z     cpp/scalar_tensor_test 1/1
2025-12-04T10:26:35.5682865Z     cpp/scalar_test 1/1
2025-12-04T10:26:35.5683112Z     cpp/tensor_iterator_test 1/1
2025-12-04T10:26:35.5683411Z     cpp/undefined_tensor_test 1/1
2025-12-04T10:26:35.5683842Z     cpp/wrapdim_test 1/1
2025-12-04T10:26:35.5684098Z Name: excluded (est. time: 0.0min)
2025-12-04T10:26:35.5684389Z   Serial tests (0):
2025-12-04T10:26:35.5684626Z   Parallel tests (0):
2025-12-04T10:26:35.5684993Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:26:35.568255][7430.243622954]
2025-12-04T10:26:35.5685413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:26:35.5688628Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:26:35.568678]
2025-12-04T10:26:49.5059286Z 
2025-12-04T10:26:49.5060192Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_381d6081ea256178_.log
2025-12-04T10:26:49.5060852Z 
2025-12-04T10:26:49.5061111Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:26:49.505889][7444.181254884], took 0.23min
2025-12-04T10:26:50.0750867Z Uploading artifacts took 0.56 seconds
2025-12-04T10:26:50.0751366Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:26:50.074875][7444.750240166]
2025-12-04T10:26:50.0751846Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:26:50.0754835Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:26:50.075302]
2025-12-04T10:27:04.0601346Z 
2025-12-04T10:27:04.0602180Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_72008b6e19c8c579_.log
2025-12-04T10:27:04.0602819Z 
2025-12-04T10:27:04.0603097Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:27:04.059950][7458.735313002], took 0.23min
2025-12-04T10:27:04.0686338Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:27:04.068440][7458.743807281]
2025-12-04T10:27:04.0687009Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:04.0690641Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:27:04.068889]
2025-12-04T10:27:17.9541187Z 
2025-12-04T10:27:17.9542171Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_a8adae39da770354_.log
2025-12-04T10:27:17.9542911Z 
2025-12-04T10:27:17.9543224Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:27:17.953917][7472.62928284], took 0.23min
2025-12-04T10:27:17.9624257Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:27:17.962237][7472.637604901]
2025-12-04T10:27:17.9624731Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:17.9628367Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:27:17.962630]
2025-12-04T10:27:32.0982771Z 
2025-12-04T10:27:32.0984074Z 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_a77f0a9e0cbb565d_.log
2025-12-04T10:27:32.0984748Z 
2025-12-04T10:27:32.0985051Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:27:32.098072][7486.77343896], took 0.24min
2025-12-04T10:27:32.1066489Z Running cpp/atest 1/1 ... [2025-12-04 10:27:32.106390][7486.781757303]
2025-12-04T10:27:32.1067160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:32.1070195Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:27:32.106771]
2025-12-04T10:27:46.3930519Z 
2025-12-04T10:27:46.3931304Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_bde4a9206206040a_.log
2025-12-04T10:27:46.3931902Z 
2025-12-04T10:27:46.3932158Z Finished cpp/atest 1/1 ... [2025-12-04 10:27:46.392840][7501.068205941], took 0.24min
2025-12-04T10:27:46.4018986Z Running cpp/basic 1/1 ... [2025-12-04 10:27:46.401720][7501.077085984]
2025-12-04T10:27:46.4019413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:46.4022507Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:27:46.402093]
2025-12-04T10:28:00.6888611Z 
2025-12-04T10:28:00.6889457Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_3fd972ad3757b6ce_.log
2025-12-04T10:28:00.6890035Z 
2025-12-04T10:28:00.6890272Z Finished cpp/basic 1/1 ... [2025-12-04 10:28:00.688677][7515.364042394], took 0.24min
2025-12-04T10:28:00.6971754Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:28:00.696975][7515.372342344]
2025-12-04T10:28:00.6972221Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:00.6975574Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:28:00.697373]
2025-12-04T10:28:15.0488558Z 
2025-12-04T10:28:15.0489424Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_38e097a4f665029f_.log
2025-12-04T10:28:15.0490118Z 
2025-12-04T10:28:15.0490393Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:28:15.048665][7529.724031978], took 0.24min
2025-12-04T10:28:15.0572815Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:28:15.057071][7529.732437972]
2025-12-04T10:28:15.0573310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:15.0576916Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:28:15.057501]
2025-12-04T10:28:29.2466817Z 
2025-12-04T10:28:29.2467917Z 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_7798a192f5a2bea2_.log
2025-12-04T10:28:29.2468874Z 
2025-12-04T10:28:29.2469163Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:28:29.246474][7543.921839429], took 0.24min
2025-12-04T10:28:29.2549052Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:28:29.254718][7543.930084735]
2025-12-04T10:28:29.2549677Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:29.2552606Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:28:29.255089]
2025-12-04T10:28:43.1924901Z 
2025-12-04T10:28:43.1925820Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_1573fee34005937c_.log
2025-12-04T10:28:43.1926522Z 
2025-12-04T10:28:43.1926807Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:28:43.192308][7557.867674594], took 0.23min
2025-12-04T10:28:43.2098853Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:28:43.209657][7557.885022699]
2025-12-04T10:28:43.2099371Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:43.2102174Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:28:43.210046]
2025-12-04T10:28:57.1452269Z 
2025-12-04T10:28:57.1453225Z 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_d543217914236429_.log
2025-12-04T10:28:57.1454191Z 
2025-12-04T10:28:57.1454521Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:28:57.145056][7571.820417978], took 0.23min
2025-12-04T10:28:57.1534503Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:28:57.153260][7571.828628201]
2025-12-04T10:28:57.1534980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:57.1538418Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:28:57.153657]
2025-12-04T10:29:11.2387887Z 
2025-12-04T10:29:11.2388717Z 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_7088b36ec8541251_.log
2025-12-04T10:29:11.2389418Z 
2025-12-04T10:29:11.2389694Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:29:11.238597][7585.913963489], took 0.23min
2025-12-04T10:29:11.2471585Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:29:11.246987][7585.92235425]
2025-12-04T10:29:11.2472066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:11.2475099Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:29:11.247352]
2025-12-04T10:29:25.1842434Z 
2025-12-04T10:29:25.1843349Z 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_297756c3b999600a_.log
2025-12-04T10:29:25.1844032Z 
2025-12-04T10:29:25.1844310Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:29:25.184074][7599.859439811], took 0.23min
2025-12-04T10:29:25.1925631Z Running cpp/native_test 1/1 ... [2025-12-04 10:29:25.192348][7599.867716897]
2025-12-04T10:29:25.1926111Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:25.1929060Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:29:25.192740]
2025-12-04T10:29:39.0767503Z 
2025-12-04T10:29:39.0768379Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_6c468de202886146_.log
2025-12-04T10:29:39.0769005Z 
2025-12-04T10:29:39.0769277Z Finished cpp/native_test 1/1 ... [2025-12-04 10:29:39.076527][7613.751892787], took 0.23min
2025-12-04T10:29:39.0856612Z Running cpp/operators_test 1/1 ... [2025-12-04 10:29:39.085460][7613.760826482]
2025-12-04T10:29:39.0857289Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:39.0860456Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:29:39.085858]
2025-12-04T10:29:53.0220523Z 
2025-12-04T10:29:53.0221394Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_eeaf7b20d49ce88d_.log
2025-12-04T10:29:53.0223093Z 
2025-12-04T10:29:53.0223382Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:29:53.021880][7627.697245802], took 0.23min
2025-12-04T10:29:53.0309913Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:29:53.030831][7627.706198388]
2025-12-04T10:29:53.0310392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:53.0313768Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:29:53.031210]
2025-12-04T10:30:06.9659611Z 
2025-12-04T10:30:06.9660480Z 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_955f465741011e71_.log
2025-12-04T10:30:06.9661197Z 
2025-12-04T10:30:06.9661491Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:30:06.965773][7641.641138852], took 0.23min
2025-12-04T10:30:06.9749515Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:30:06.974776][7641.650142655]
2025-12-04T10:30:06.9749957Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:06.9753277Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:30:06.975149]
2025-12-04T10:30:21.0111559Z 
2025-12-04T10:30:21.0112526Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_317e4f9f87d85651_.log
2025-12-04T10:30:21.0113160Z 
2025-12-04T10:30:21.0113460Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:30:21.010953][7655.686316899], took 0.23min
2025-12-04T10:30:21.0203225Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:30:21.020147][7655.695515356]
2025-12-04T10:30:21.0203705Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:21.0206614Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:30:21.020502]
2025-12-04T10:30:34.9049635Z 
2025-12-04T10:30:34.9050561Z 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_172b5d51e748e337_.log
2025-12-04T10:30:34.9051276Z 
2025-12-04T10:30:34.9051574Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:30:34.904763][7669.580128995], took 0.23min
2025-12-04T10:30:34.9141584Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:30:34.913992][7669.589359575]
2025-12-04T10:30:34.9142145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:34.9145427Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:30:34.914361]
2025-12-04T10:30:48.7987022Z 
2025-12-04T10:30:48.7987951Z 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_8bc8e21fb3545a94_.log
2025-12-04T10:30:48.7988690Z 
2025-12-04T10:30:48.7989024Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:30:48.798540][7683.473905207], took 0.23min
2025-12-04T10:30:48.8104253Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:30:48.810257][7683.485623549]
2025-12-04T10:30:48.8104720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:48.8108344Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:30:48.810642]
2025-12-04T10:31:02.7953026Z 
2025-12-04T10:31:02.7954126Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_5651e5d3fa0903b8_.log
2025-12-04T10:31:02.7954755Z 
2025-12-04T10:31:02.7955016Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:31:02.795056][7697.470422269], took 0.23min
2025-12-04T10:31:07.7550687Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:31:07.754648][7702.42999046]
2025-12-04T10:31:07.7551785Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:07.7554357Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:31:07.755176]
2025-12-04T10:31:07.8136597Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:31:07.813297][7702.488660164]
2025-12-04T10:31:07.8137350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:07.8142094Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:31:07.813896]
2025-12-04T10:31:07.8156114Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:31:07.815406][7702.490769683]
2025-12-04T10:31:07.8156611Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:07.8160492Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:31:07.815848]
2025-12-04T10:31:26.5694193Z 
2025-12-04T10:31:26.5695959Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_e70da4f63fb56431_.log
2025-12-04T10:31:26.5697141Z 
2025-12-04T10:31:26.5697593Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:31:26.569402][7721.244763401], took 0.31min
2025-12-04T10:31:30.8778330Z 
2025-12-04T10:31:30.8779338Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_e2dda67c304b834f_.log
2025-12-04T10:31:30.8780036Z 
2025-12-04T10:31:30.8780353Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:31:30.877595][7725.55295769], took 0.38min
2025-12-04T10:31:32.8529870Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:31:32.852552][7727.52791541]
2025-12-04T10:31:32.8530381Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:32.8533028Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:31:32.853059]
2025-12-04T10:31:36.9257158Z Running cpp/atest 1/1 ... [2025-12-04 10:31:36.925274][7731.600636181]
2025-12-04T10:31:36.9257933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:36.9260832Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:31:36.925801]
2025-12-04T10:31:51.6629676Z 
2025-12-04T10:31:51.6630912Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_00dfca5975d5f353_.log
2025-12-04T10:31:51.6634256Z 
2025-12-04T10:31:51.6634902Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:31:51.663192][7746.338552407], took 0.73min
2025-12-04T10:31:53.4627037Z 
2025-12-04T10:31:53.4628407Z 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_82929009bd41513d_.log
2025-12-04T10:31:53.4629634Z 
2025-12-04T10:31:53.4630127Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:31:53.462566][7748.137931995], took 0.34min
2025-12-04T10:31:57.8744225Z Running cpp/basic 1/1 ... [2025-12-04 10:31:57.873966][7752.54932896]
2025-12-04T10:31:57.8745053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:57.8748494Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:31:57.874508]
2025-12-04T10:31:59.6149019Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:31:59.614495][7754.289858288]
2025-12-04T10:31:59.6149769Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:59.6152110Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:31:59.615006]
2025-12-04T10:32:02.9404645Z 
2025-12-04T10:32:02.9405730Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_f9a79940f9d0d516_.log
2025-12-04T10:32:02.9406613Z 
2025-12-04T10:32:02.9407732Z Finished cpp/atest 1/1 ... [2025-12-04 10:32:02.940561][7757.615923924], took 0.43min
2025-12-04T10:32:09.4134536Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:32:09.413004][7764.08836725]
2025-12-04T10:32:09.4135045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:32:09.4137777Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:32:09.413514]
2025-12-04T10:32:16.6146660Z 
2025-12-04T10:32:16.6147817Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_c36e61a34d1824f1_.log
2025-12-04T10:32:16.6148953Z 
2025-12-04T10:32:16.6149377Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:32:16.614539][7771.289903111], took 0.28min
2025-12-04T10:32:18.3790981Z 
2025-12-04T10:32:18.3792584Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_1d2a90bc489f36db_.log
2025-12-04T10:32:18.3793618Z 
2025-12-04T10:32:18.3794265Z Finished cpp/basic 1/1 ... [2025-12-04 10:32:18.379013][7773.054378329], took 0.34min
2025-12-04T10:32:22.9748913Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:32:22.974493][7777.6498562]
2025-12-04T10:32:22.9749442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:32:22.9752311Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:32:22.975008]
2025-12-04T10:32:24.4793110Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:32:24.478876][7779.154238893]
2025-12-04T10:32:24.4794047Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:32:24.4796428Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:32:24.479372]
2025-12-04T10:32:35.3798986Z 
2025-12-04T10:32:35.3800396Z 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_13e6d74012a1865b_.log
2025-12-04T10:32:35.3801703Z 
2025-12-04T10:32:35.3802253Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:32:35.379786][7790.055150344], took 0.43min
2025-12-04T10:32:41.7464559Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:32:41.746042][7796.421405412]
2025-12-04T10:32:41.7465395Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:32:41.7468258Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:32:41.746587]
2025-12-04T10:32:41.7761215Z 
2025-12-04T10:32:41.7762256Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_0ff852dab32785e1_.log
2025-12-04T10:32:41.7762960Z 
2025-12-04T10:32:41.7763261Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:32:41.776093][7796.45145763], took 0.31min
2025-12-04T10:32:42.2271143Z 
2025-12-04T10:32:42.2271936Z 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_8af415141b9d86bc_.log
2025-12-04T10:32:42.2272733Z 
2025-12-04T10:32:42.2273085Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:32:42.227049][7796.902415216], took 0.30min
2025-12-04T10:32:47.7695132Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:32:47.769114][7802.444477817]
2025-12-04T10:32:47.7695918Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:32:47.7698621Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:32:47.769618]
2025-12-04T10:32:48.3273653Z Running cpp/native_test 1/1 ... [2025-12-04 10:32:48.326744][7803.00210015]
2025-12-04T10:32:48.3275236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:32:48.3280905Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:32:48.327659]
2025-12-04T10:32:58.9458519Z 
2025-12-04T10:32:58.9459635Z 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_ff41d900d5f5a679_.log
2025-12-04T10:32:58.9460421Z 
2025-12-04T10:32:58.9460916Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:32:58.945877][7813.621237971], took 0.29min
2025-12-04T10:33:05.1933475Z Running cpp/operators_test 1/1 ... [2025-12-04 10:33:05.192908][7819.86827107]
2025-12-04T10:33:05.1934458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:33:05.1937435Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:33:05.193447]
2025-12-04T10:33:05.8435155Z 
2025-12-04T10:33:05.8436594Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_0d9bd6b0b9cfbd14_.log
2025-12-04T10:33:05.8437466Z 
2025-12-04T10:33:05.8437742Z Finished cpp/native_test 1/1 ... [2025-12-04 10:33:05.843475][7820.518838572], took 0.29min
2025-12-04T10:33:12.1628108Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:33:12.162347][7826.837709089]
2025-12-04T10:33:12.1628634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:33:12.1631915Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:33:12.162897]
2025-12-04T10:33:17.0922753Z 
2025-12-04T10:33:17.0924293Z 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_58eed589f55a3758_.log
2025-12-04T10:33:17.0925518Z 
2025-12-04T10:33:17.0925999Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:33:17.092171][7831.76753354], took 0.49min
2025-12-04T10:33:23.4434757Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:33:23.442978][7838.118341003]
2025-12-04T10:33:23.4436158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:33:23.4437601Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:33:23.443492]
2025-12-04T10:33:23.8941863Z 
2025-12-04T10:33:23.8942957Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_7183d68af9f92809_.log
2025-12-04T10:33:23.8943666Z 
2025-12-04T10:33:23.8943943Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:33:23.894208][7838.56956959], took 0.31min
2025-12-04T10:33:29.0590521Z 
2025-12-04T10:33:29.0591787Z 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_7d35ca0bf22cfdda_.log
2025-12-04T10:33:29.0592897Z 
2025-12-04T10:33:29.0593347Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:33:29.058976][7843.734340711], took 0.28min
2025-12-04T10:33:30.3054819Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:33:30.305023][7844.980386517]
2025-12-04T10:33:30.3055341Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:33:30.3058135Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:33:30.305541]
2025-12-04T10:33:35.2522361Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:33:35.251820][7849.927183187]
2025-12-04T10:33:35.2523151Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:33:35.2525623Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:33:35.252345]
2025-12-04T10:33:41.9908261Z 
2025-12-04T10:33:41.9916240Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_1ce0047686698d90_.log
2025-12-04T10:33:41.9927505Z 
2025-12-04T10:33:41.9935226Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:33:41.993106][7856.668463631], took 0.31min
2025-12-04T10:33:48.3890553Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:33:48.388587][7863.06394884]
2025-12-04T10:33:48.3891416Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:33:48.3894233Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:33:48.389108]
2025-12-04T10:33:52.2015251Z 
2025-12-04T10:33:52.2016622Z 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_e12adbe83c17981b_.log
2025-12-04T10:33:52.2018666Z 
2025-12-04T10:33:52.2019705Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:33:52.201442][7866.876808483], took 0.28min
2025-12-04T10:34:05.0341355Z 
2025-12-04T10:34:05.0342652Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_361a5f31fcca6ff4_.log
2025-12-04T10:34:05.0343408Z 
2025-12-04T10:34:05.0343673Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:34:05.034059][7879.709424372], took 0.28min
2025-12-04T10:34:20.7590007Z 
2025-12-04T10:34:20.7590918Z 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_a0fd12e353fae451_.log
2025-12-04T10:34:20.7592159Z 
2025-12-04T10:34:20.7592684Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:34:20.759129][7895.434494873], took 0.84min
2025-12-04T10:34:21.7325527Z Running test batch 'tests to run' cost 466.16 seconds
2025-12-04T10:34:22.6215798Z + run_if_exists tensor_interop_test
2025-12-04T10:34:22.6216213Z + local test_name=tensor_interop_test
2025-12-04T10:34:22.6216595Z + [[ -x build/bin/tensor_interop_test ]]
2025-12-04T10:34:22.6216957Z + echo 'Warning: tensor_interop_test does not exist.'
2025-12-04T10:34:22.6217382Z Warning: tensor_interop_test does not exist.
2025-12-04T10:34:22.6217727Z + run_if_exists cudnn_test
2025-12-04T10:34:22.6217992Z + local test_name=cudnn_test
2025-12-04T10:34:22.6218279Z + [[ -x build/bin/cudnn_test ]]
2025-12-04T10:34:22.6218602Z + echo 'Warning: cudnn_test does not exist.'
2025-12-04T10:34:22.6218932Z Warning: cudnn_test does not exist.
2025-12-04T10:34:22.6219250Z + run_if_exists cuda_generator_test
2025-12-04T10:34:22.6219569Z + local test_name=cuda_generator_test
2025-12-04T10:34:22.6219909Z + [[ -x build/bin/cuda_generator_test ]]
2025-12-04T10:34:22.6220274Z + echo 'Warning: cuda_generator_test does not exist.'
2025-12-04T10:34:22.6220665Z Warning: cuda_generator_test does not exist.
2025-12-04T10:34:22.6221006Z + run_if_exists apply_test
2025-12-04T10:34:22.6221274Z + local test_name=apply_test
2025-12-04T10:34:22.6221566Z + [[ -x build/bin/apply_test ]]
2025-12-04T10:34:22.6221877Z + echo 'Warning: apply_test does not exist.'
2025-12-04T10:34:22.6222204Z Warning: apply_test does not exist.
2025-12-04T10:34:22.6222520Z + run_if_exists stream_test
2025-12-04T10:34:22.6222800Z + local test_name=stream_test
2025-12-04T10:34:22.6223089Z + [[ -x build/bin/stream_test ]]
2025-12-04T10:34:22.6223395Z + echo 'Warning: stream_test does not exist.'
2025-12-04T10:34:22.6223737Z Warning: stream_test does not exist.
2025-12-04T10:34:22.6224046Z + run_if_exists cuda_half_test
2025-12-04T10:34:22.6224322Z + local test_name=cuda_half_test
2025-12-04T10:34:22.6224622Z + [[ -x build/bin/cuda_half_test ]]
2025-12-04T10:34:22.6225204Z + echo 'Warning: cuda_half_test does not exist.'
2025-12-04T10:34:22.6225547Z Warning: cuda_half_test does not exist.
2025-12-04T10:34:22.6225880Z + run_if_exists cuda_vectorized_test
2025-12-04T10:34:22.6226211Z + local test_name=cuda_vectorized_test
2025-12-04T10:34:22.6226674Z + [[ -x build/bin/cuda_vectorized_test ]]
2025-12-04T10:34:22.6227052Z + echo 'Warning: cuda_vectorized_test does not exist.'
2025-12-04T10:34:22.6227528Z Warning: cuda_vectorized_test does not exist.
2025-12-04T10:34:22.6228035Z + run_if_exists cuda_distributions_test
2025-12-04T10:34:22.6228389Z + local test_name=cuda_distributions_test
2025-12-04T10:34:22.6228823Z + [[ -x build/bin/cuda_distributions_test ]]
2025-12-04T10:34:22.6229272Z + echo 'Warning: cuda_distributions_test does not exist.'
2025-12-04T10:34:22.6229767Z Warning: cuda_distributions_test does not exist.
2025-12-04T10:34:22.6230148Z + run_if_exists cuda_optional_test
2025-12-04T10:34:22.6230603Z + local test_name=cuda_optional_test
2025-12-04T10:34:22.6230963Z + [[ -x build/bin/cuda_optional_test ]]
2025-12-04T10:34:22.6231370Z + echo 'Warning: cuda_optional_test does not exist.'
2025-12-04T10:34:22.6231804Z Warning: cuda_optional_test does not exist.
2025-12-04T10:34:22.6232203Z + run_if_exists cuda_tensor_interop_test
2025-12-04T10:34:22.6232536Z + local test_name=cuda_tensor_interop_test
2025-12-04T10:34:22.6232893Z + [[ -x build/bin/cuda_tensor_interop_test ]]
2025-12-04T10:34:22.6233332Z + echo 'Warning: cuda_tensor_interop_test does not exist.'
2025-12-04T10:34:22.6233811Z Warning: cuda_tensor_interop_test does not exist.
2025-12-04T10:34:22.6234173Z + run_if_exists cuda_complex_test
2025-12-04T10:34:22.6234478Z + local test_name=cuda_complex_test
2025-12-04T10:34:22.6234781Z + [[ -x build/bin/cuda_complex_test ]]
2025-12-04T10:34:22.6235135Z + echo 'Warning: cuda_complex_test does not exist.'
2025-12-04T10:34:22.6235515Z Warning: cuda_complex_test does not exist.
2025-12-04T10:34:22.6235865Z + run_if_exists cuda_complex_math_test
2025-12-04T10:34:22.6236182Z + local test_name=cuda_complex_math_test
2025-12-04T10:34:22.6236524Z + [[ -x build/bin/cuda_complex_math_test ]]
2025-12-04T10:34:22.6236907Z + echo 'Warning: cuda_complex_math_test does not exist.'
2025-12-04T10:34:22.6237305Z Warning: cuda_complex_math_test does not exist.
2025-12-04T10:34:22.6237666Z + run_if_exists cuda_cub_test
2025-12-04T10:34:22.6244899Z + local test_name=cuda_cub_test
2025-12-04T10:34:22.6245338Z + [[ -x build/bin/cuda_cub_test ]]
2025-12-04T10:34:22.6245748Z + echo 'Warning: cuda_cub_test does not exist.'
2025-12-04T10:34:22.6246143Z Warning: cuda_cub_test does not exist.
2025-12-04T10:34:22.6246660Z + run_if_exists cuda_atomic_ops_test
2025-12-04T10:34:22.6246990Z + local test_name=cuda_atomic_ops_test
2025-12-04T10:34:22.6247314Z + [[ -x build/bin/cuda_atomic_ops_test ]]
2025-12-04T10:34:22.6247701Z + echo 'Warning: cuda_atomic_ops_test does not exist.'
2025-12-04T10:34:22.6248104Z Warning: cuda_atomic_ops_test does not exist.
2025-12-04T10:34:22.6248453Z + run_if_exists cuda_allocator_test
2025-12-04T10:34:22.6248777Z + local test_name=cuda_allocator_test
2025-12-04T10:34:22.6249124Z + [[ -x build/bin/cuda_allocator_test ]]
2025-12-04T10:34:22.6249501Z + echo 'Warning: cuda_allocator_test does not exist.'
2025-12-04T10:34:22.6249877Z Warning: cuda_allocator_test does not exist.
2025-12-04T10:34:22.6250215Z + '[' OFF == ON ']'
2025-12-04T10:34:22.6250451Z + [[ -n '' ]]
2025-12-04T10:34:22.6250664Z + assert_git_not_dirty
2025-12-04T10:34:22.6250971Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]]
2025-12-04T10:34:22.6251360Z + [[ linux-jammy-py3.10-clang18-asan != *xla* ]]
2025-12-04T10:34:22.6253017Z ++ git status --porcelain
2025-12-04T10:34:22.6254111Z ++ grep -v '?? third_party'
2025-12-04T10:34:23.4261472Z ++ true
2025-12-04T10:34:23.4261829Z + git_status=
2025-12-04T10:34:23.4262099Z + [[ -n '' ]]
2025-12-04T10:34:23.4262552Z + test_libtorch 1
2025-12-04T10:34:23.4277305Z + local SHARD=1
2025-12-04T10:34:23.4277582Z + [[ default != \s\l\o\w ]]
2025-12-04T10:34:23.4278058Z + echo 'Testing libtorch'
2025-12-04T10:34:23.4278331Z Testing libtorch
2025-12-04T10:34:23.4279115Z + 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
2025-12-04T10:34:23.4333181Z + 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
2025-12-04T10:34:23.4385390Z + 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
2025-12-04T10:34:23.4434090Z + 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/bin
2025-12-04T10:34:23.4487653Z + 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
2025-12-04T10:34:23.4542314Z + 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_global_deps.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
2025-12-04T10:34:23.4594320Z + 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
2025-12-04T10:34:23.4643782Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:34:23.4644435Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:34:23.4644900Z + [[ -z 1 ]]
2025-12-04T10:34:23.4645123Z + [[ 1 == \1 ]]
2025-12-04T10:34:23.4645360Z + test_libtorch_api
2025-12-04T10:34:23.4653121Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-12-04T10:34:23.4653710Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist
2025-12-04T10:34:23.5283174Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ...
2025-12-04T10:34:23.9718712Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ...
2025-12-04T10:34:24.0355054Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ...
2025-12-04T10:34:24.1445050Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ...
2025-12-04T10:34:24.2350315Z + [[ linux-jammy-py3.10-clang18-asan == *asan* ]]
2025-12-04T10:34:24.2351154Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_libtorch
2025-12-04T10:34:24.2351752Z + mkdir -p test/test-reports/cpp-unittest/test_libtorch
2025-12-04T10:34:24.2425753Z + OMP_NUM_THREADS=2
2025-12-04T10:34:24.2426431Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-12-04T10:34:24.2428305Z + /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_api '--gtest_filter=-IMethodTest.*' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_api.xml
2025-12-04T10:34:25.5169604Z CUDA not available. Disabling CUDA and MultiCUDA tests
2025-12-04T10:34:25.5179056Z Note: Google Test filter = -IMethodTest.*:*_CUDA:*_MultiCUDA
2025-12-04T10:34:25.5179506Z [==========] Running 1010 tests from 51 test suites.
2025-12-04T10:34:25.5179885Z [----------] Global test environment set-up.
2025-12-04T10:34:25.5180247Z [----------] 11 tests from AutogradAPITests
2025-12-04T10:34:25.5180740Z [ RUN      ] AutogradAPITests.RegisterHookVoidReturnAcceptsUndefinedTensor
2025-12-04T10:34:25.5207048Z [       OK ] AutogradAPITests.RegisterHookVoidReturnAcceptsUndefinedTensor (2 ms)
2025-12-04T10:34:25.5208042Z [ RUN      ] AutogradAPITests.RegisterHookTensorReturnAcceptsUndefinedTensor
2025-12-04T10:34:25.5209724Z [       OK ] AutogradAPITests.RegisterHookTensorReturnAcceptsUndefinedTensor (0 ms)
2025-12-04T10:34:25.5210277Z [ RUN      ] AutogradAPITests.BackwardSimpleTest
2025-12-04T10:34:25.5236372Z [       OK ] AutogradAPITests.BackwardSimpleTest (2 ms)
2025-12-04T10:34:25.5236785Z [ RUN      ] AutogradAPITests.BackwardTest
2025-12-04T10:34:25.5240317Z [W1204 10:34:25.199131096 engine.cpp:1306] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2025-12-04T10:34:25.5253680Z [       OK ] AutogradAPITests.BackwardTest (1 ms)
2025-12-04T10:34:25.5254172Z [ RUN      ] AutogradAPITests.GradSimpleTest
2025-12-04T10:34:25.5264614Z [       OK ] AutogradAPITests.GradSimpleTest (1 ms)
2025-12-04T10:34:25.5265037Z [ RUN      ] AutogradAPITests.GradTest
2025-12-04T10:34:25.5284333Z [       OK ] AutogradAPITests.GradTest (1 ms)
2025-12-04T10:34:25.5284714Z [ RUN      ] AutogradAPITests.GradNonLeafTest
2025-12-04T10:34:25.5298432Z [W1204 10:34:25.204908646 TensorBody.h:497] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (function grad)
2025-12-04T10:34:25.5303867Z [W1204 10:34:25.205475534 TensorBody.h:497] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (function grad)
2025-12-04T10:34:25.5309453Z [W1204 10:34:25.206026385 TensorBody.h:497] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (function grad)
2025-12-04T10:34:25.5314834Z [W1204 10:34:25.206581748 TensorBody.h:497] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (function grad)
2025-12-04T10:34:25.5324087Z [       OK ] AutogradAPITests.GradNonLeafTest (3 ms)
2025-12-04T10:34:25.5324518Z [ RUN      ] AutogradAPITests.GradUnreachableTest
2025-12-04T10:34:25.5356318Z [       OK ] AutogradAPITests.GradUnreachableTest (3 ms)
2025-12-04T10:34:25.5356710Z [ RUN      ] AutogradAPITests.EmptyInput
2025-12-04T10:34:25.5358257Z [       OK ] AutogradAPITests.EmptyInput (0 ms)
2025-12-04T10:34:25.5358639Z [ RUN      ] AutogradAPITests.RetainGrad
2025-12-04T10:34:25.5375840Z [       OK ] AutogradAPITests.RetainGrad (1 ms)
2025-12-04T10:34:25.5376205Z [ RUN      ] AutogradAPITests.AnomalyMode
2025-12-04T10:34:25.5377181Z [W1204 10:34:25.212873888 anomaly_mode.cpp:26] Warning: This mode should be enabled only for debugging as the different tests will slow down your program execution. (function operator())
2025-12-04T10:34:25.8409458Z [       OK ] AutogradAPITests.AnomalyMode (303 ms)
2025-12-04T10:34:25.8409981Z [----------] 11 tests from AutogradAPITests (322 ms total)
2025-12-04T10:34:25.8410483Z 
2025-12-04T10:34:25.8410630Z [----------] 34 tests from CustomAutogradTest
2025-12-04T10:34:25.8411055Z [ RUN      ] CustomAutogradTest.GradUnreachableDiscoveryTest
2025-12-04T10:34:25.8413497Z [       OK ] CustomAutogradTest.GradUnreachableDiscoveryTest (0 ms)
2025-12-04T10:34:25.8414140Z [ RUN      ] CustomAutogradTest.CustomFunctionReturnInputAsIsAndSavesIt
2025-12-04T10:34:25.8414849Z [       OK ] CustomAutogradTest.CustomFunctionReturnInputAsIsAndSavesIt (0 ms)
2025-12-04T10:34:25.8415385Z [ RUN      ] CustomAutogradTest.CustomFunction
2025-12-04T10:34:25.8429293Z [       OK ] CustomAutogradTest.CustomFunction (1 ms)
2025-12-04T10:34:25.8429930Z [ RUN      ] CustomAutogradTest.CustomFunctionWithTensorList
2025-12-04T10:34:25.8440081Z [       OK ] CustomAutogradTest.CustomFunctionWithTensorList (1 ms)
2025-12-04T10:34:25.8440579Z [ RUN      ] CustomAutogradTest.GraphTaskTrimEdges
2025-12-04T10:34:25.8461380Z [       OK ] CustomAutogradTest.GraphTaskTrimEdges (2 ms)
2025-12-04T10:34:25.8461826Z [ RUN      ] CustomAutogradTest.FunctionReturnsInput
2025-12-04T10:34:25.8474604Z [       OK ] CustomAutogradTest.FunctionReturnsInput (1 ms)
2025-12-04T10:34:25.8475128Z [ RUN      ] CustomAutogradTest.FunctionReturnsUndefined
2025-12-04T10:34:25.8483550Z [       OK ] CustomAutogradTest.FunctionReturnsUndefined (0 ms)
2025-12-04T10:34:25.8484034Z [ RUN      ] CustomAutogradTest.MaterializeGrads
2025-12-04T10:34:25.8489527Z [       OK ] CustomAutogradTest.MaterializeGrads (0 ms)
2025-12-04T10:34:25.8489929Z [ RUN      ] CustomAutogradTest.DontMaterializeGrads
2025-12-04T10:34:25.8492170Z [       OK ] CustomAutogradTest.DontMaterializeGrads (0 ms)
2025-12-04T10:34:25.8492618Z [ RUN      ] CustomAutogradTest.NoGradCustomFunction
2025-12-04T10:34:25.8493539Z [       OK ] CustomAutogradTest.NoGradCustomFunction (0 ms)
2025-12-04T10:34:25.8493932Z [ RUN      ] CustomAutogradTest.MarkDirty
2025-12-04T10:34:25.8497291Z [       OK ] CustomAutogradTest.MarkDirty (0 ms)
2025-12-04T10:34:25.8497703Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiable
2025-12-04T10:34:25.8503167Z [       OK ] CustomAutogradTest.MarkNonDifferentiable (0 ms)
2025-12-04T10:34:25.8503688Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiableMixed
2025-12-04T10:34:25.8514210Z [       OK ] CustomAutogradTest.MarkNonDifferentiableMixed (1 ms)
2025-12-04T10:34:25.8514700Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiableNone
2025-12-04T10:34:25.8517688Z [       OK ] CustomAutogradTest.MarkNonDifferentiableNone (0 ms)
2025-12-04T10:34:25.8518141Z [ RUN      ] CustomAutogradTest.ReturnLeafInplace
2025-12-04T10:34:25.8525263Z [       OK ] CustomAutogradTest.ReturnLeafInplace (0 ms)
2025-12-04T10:34:25.8525732Z [ RUN      ] CustomAutogradTest.ReturnDuplicateInplace
2025-12-04T10:34:25.8529552Z [       OK ] CustomAutogradTest.ReturnDuplicateInplace (0 ms)
2025-12-04T10:34:25.8530069Z [ RUN      ] CustomAutogradTest.ReturnDuplicate
2025-12-04T10:34:25.8530673Z [       OK ] CustomAutogradTest.ReturnDuplicate (0 ms)
2025-12-04T10:34:25.8531085Z [ RUN      ] CustomAutogradTest.SaveEmptyForBackward
2025-12-04T10:34:25.8537011Z [       OK ] CustomAutogradTest.SaveEmptyForBackward (0 ms)
2025-12-04T10:34:25.8537446Z [ RUN      ] CustomAutogradTest.InvalidGradients
2025-12-04T10:34:25.8549468Z [       OK ] CustomAutogradTest.InvalidGradients (1 ms)
2025-12-04T10:34:25.8549856Z [ RUN      ] CustomAutogradTest.NoGradInput
2025-12-04T10:34:25.8550313Z [       OK ] CustomAutogradTest.NoGradInput (0 ms)
2025-12-04T10:34:25.8550698Z [ RUN      ] CustomAutogradTest.TooManyGrads
2025-12-04T10:34:25.8551062Z [       OK ] CustomAutogradTest.TooManyGrads (0 ms)
2025-12-04T10:34:25.8551441Z [ RUN      ] CustomAutogradTest.DepNoGrad
2025-12-04T10:34:25.8557264Z [       OK ] CustomAutogradTest.DepNoGrad (0 ms)
2025-12-04T10:34:25.8557640Z [ RUN      ] CustomAutogradTest.Reentrant
2025-12-04T10:34:25.8565746Z [       OK ] CustomAutogradTest.Reentrant (0 ms)
2025-12-04T10:34:25.8566162Z [ RUN      ] CustomAutogradTest.DeepReentrant
2025-12-04T10:34:28.5436626Z [       OK ] CustomAutogradTest.DeepReentrant (2686 ms)
2025-12-04T10:34:28.5437104Z [ RUN      ] CustomAutogradTest.ReentrantPriority
2025-12-04T10:34:28.5463743Z [       OK ] CustomAutogradTest.ReentrantPriority (2 ms)
2025-12-04T10:34:28.5464179Z [ RUN      ] CustomAutogradTest.Hooks
2025-12-04T10:34:28.5493852Z [       OK ] CustomAutogradTest.Hooks (3 ms)
2025-12-04T10:34:28.5494259Z [ RUN      ] CustomAutogradTest.HooksInplace
2025-12-04T10:34:28.5503109Z [       OK ] CustomAutogradTest.HooksInplace (0 ms)
2025-12-04T10:34:28.5503570Z [ RUN      ] CustomAutogradTest.HooksInplaceWithRetainsGrad
2025-12-04T10:34:28.5517477Z [       OK ] CustomAutogradTest.HooksInplaceWithRetainsGrad (1 ms)
2025-12-04T10:34:28.5517997Z [ RUN      ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad
2025-12-04T10:34:28.5531781Z [       OK ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad (1 ms)
2025-12-04T10:34:28.5532256Z [ RUN      ] CustomAutogradTest.HookNone
2025-12-04T10:34:28.5536137Z [       OK ] CustomAutogradTest.HookNone (0 ms)
2025-12-04T10:34:28.5536513Z [ RUN      ] CustomAutogradTest.BackwardWithInputs
2025-12-04T10:34:28.5544586Z [       OK ] CustomAutogradTest.BackwardWithInputs (0 ms)
2025-12-04T10:34:28.5545134Z [ RUN      ] CustomAutogradTest.BackwardWithEmptyInputs
2025-12-04T10:34:28.5548729Z [       OK ] CustomAutogradTest.BackwardWithEmptyInputs (0 ms)
2025-12-04T10:34:28.5549204Z [ RUN      ] CustomAutogradTest.BackwardWithNonLeafInputs
2025-12-04T10:34:28.5558117Z [       OK ] CustomAutogradTest.BackwardWithNonLeafInputs (0 ms)
2025-12-04T10:34:28.5558617Z [ RUN      ] CustomAutogradTest.BackwardWithCreateGraphWarns
2025-12-04T10:34:28.5562522Z [       OK ] CustomAutogradTest.BackwardWithCreateGraphWarns (0 ms)
2025-12-04T10:34:28.5563016Z [----------] 34 tests from CustomAutogradTest (2715 ms total)
2025-12-04T10:34:28.5563306Z 
2025-12-04T10:34:28.5563474Z [----------] 12 tests from TestAutogradNotImplementedFallback
2025-12-04T10:34:28.5563978Z [ RUN      ] TestAutogradNotImplementedFallback.RetSingleNonTensor
2025-12-04T10:34:28.5572812Z [       OK ] TestAutogradNotImplementedFallback.RetSingleNonTensor (0 ms)
2025-12-04T10:34:28.5573360Z [ RUN      ] TestAutogradNotImplementedFallback.InplaceOp
2025-12-04T10:34:28.5588907Z [       OK ] TestAutogradNotImplementedFallback.InplaceOp (1 ms)
2025-12-04T10:34:28.5589428Z [ RUN      ] TestAutogradNotImplementedFallback.DoubleInplaceOp
2025-12-04T10:34:28.5597513Z [       OK ] TestAutogradNotImplementedFallback.DoubleInplaceOp (0 ms)
2025-12-04T10:34:28.5598033Z [ RUN      ] TestAutogradNotImplementedFallback.OptOp
2025-12-04T10:34:28.5607432Z [       OK ] TestAutogradNotImplementedFallback.OptOp (0 ms)
2025-12-04T10:34:28.5607947Z [ RUN      ] TestAutogradNotImplementedFallback.OutOfPlaceAddition
2025-12-04T10:34:28.5615960Z [       OK ] TestAutogradNotImplementedFallback.OutOfPlaceAddition (0 ms)
2025-12-04T10:34:28.5616540Z [ RUN      ] TestAutogradNotImplementedFallback.RetTupleNonTensor
2025-12-04T10:34:28.5624551Z [       OK ] TestAutogradNotImplementedFallback.RetTupleNonTensor (0 ms)
2025-12-04T10:34:28.5625100Z [ RUN      ] TestAutogradNotImplementedFallback.ViewOp
2025-12-04T10:34:28.5631544Z [       OK ] TestAutogradNotImplementedFallback.ViewOp (0 ms)
2025-12-04T10:34:28.5632047Z [ RUN      ] TestAutogradNotImplementedFallback.RetTensorVectorView
2025-12-04T10:34:28.5636965Z [       OK ] TestAutogradNotImplementedFallback.RetTensorVectorView (0 ms)
2025-12-04T10:34:28.5637527Z [ RUN      ] TestAutogradNotImplementedFallback.DoubleViewOP
2025-12-04T10:34:28.5643029Z [       OK ] TestAutogradNotImplementedFallback.DoubleViewOP (0 ms)
2025-12-04T10:34:28.5643538Z [ RUN      ] TestAutogradNotImplementedFallback.NonFirstViewOP
2025-12-04T10:34:28.5649238Z [       OK ] TestAutogradNotImplementedFallback.NonFirstViewOP (0 ms)
2025-12-04T10:34:28.5649786Z [ RUN      ] TestAutogradNotImplementedFallback.RetTensorVector
2025-12-04T10:34:28.5657738Z [       OK ] TestAutogradNotImplementedFallback.RetTensorVector (0 ms)
2025-12-04T10:34:28.5658348Z [ RUN      ] TestAutogradNotImplementedFallback.TensorlistOp
2025-12-04T10:34:28.5670074Z [       OK ] TestAutogradNotImplementedFallback.TensorlistOp (1 ms)
2025-12-04T10:34:28.5670644Z [----------] 12 tests from TestAutogradNotImplementedFallback (10 ms total)
2025-12-04T10:34:28.5670981Z 
2025-12-04T10:34:28.5671102Z [----------] 2 tests from TestAutogradUtils
2025-12-04T10:34:28.5671489Z [ RUN      ] TestAutogradUtils.ValidateOutputsReduce
2025-12-04T10:34:28.5673283Z [       OK ] TestAutogradUtils.ValidateOutputsReduce (0 ms)
2025-12-04T10:34:28.5673722Z [ RUN      ] TestAutogradUtils.ValidateOutputsBasic
2025-12-04T10:34:28.5676330Z [       OK ] TestAutogradUtils.ValidateOutputsBasic (0 ms)
2025-12-04T10:34:28.5676829Z [----------] 2 tests from TestAutogradUtils (0 ms total)
2025-12-04T10:34:28.5677133Z 
2025-12-04T10:34:28.5677258Z [----------] 18 tests from AnyModuleTest
2025-12-04T10:34:28.5677621Z [ RUN      ] AnyModuleTest.SimpleReturnType
2025-12-04T10:34:28.5678016Z [       OK ] AnyModuleTest.SimpleReturnType (0 ms)
2025-12-04T10:34:28.5678472Z [ RUN      ] AnyModuleTest.SimpleReturnTypeAndSingleArgument
2025-12-04T10:34:28.5678974Z [       OK ] AnyModuleTest.SimpleReturnTypeAndSingleArgument (0 ms)
2025-12-04T10:34:28.5679527Z [ RUN      ] AnyModuleTest.StringLiteralReturnTypeAndArgument
2025-12-04T10:34:28.5680033Z [       OK ] AnyModuleTest.StringLiteralReturnTypeAndArgument (0 ms)
2025-12-04T10:34:28.5680537Z [ RUN      ] AnyModuleTest.StringReturnTypeWithConstArgument
2025-12-04T10:34:28.5681020Z [       OK ] AnyModuleTest.StringReturnTypeWithConstArgument (0 ms)
2025-12-04T10:34:28.5681659Z [ RUN      ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications
2025-12-04T10:34:28.5682440Z [       OK ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications (0 ms)
2025-12-04T10:34:28.5683038Z [ RUN      ] AnyModuleTest.WrongArgumentType
2025-12-04T10:34:28.5685377Z [       OK ] AnyModuleTest.WrongArgumentType (0 ms)
2025-12-04T10:34:28.5685783Z [ RUN      ] AnyModuleTest.WrongNumberOfArguments
2025-12-04T10:34:28.5687281Z [       OK ] AnyModuleTest.WrongNumberOfArguments (0 ms)
2025-12-04T10:34:28.5687879Z [ RUN      ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod
2025-12-04T10:34:28.5691389Z [       OK ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod (0 ms)
2025-12-04T10:34:28.5692073Z [ RUN      ] AnyModuleTest.GetWithCorrectTypeSucceeds
2025-12-04T10:34:28.5692559Z [       OK ] AnyModuleTest.GetWithCorrectTypeSucceeds (0 ms)
2025-12-04T10:34:28.5693038Z [ RUN      ] AnyModuleTest.GetWithIncorrectTypeThrows
2025-12-04T10:34:28.5693500Z [       OK ] AnyModuleTest.GetWithIncorrectTypeThrows (0 ms)
2025-12-04T10:34:28.5693943Z [ RUN      ] AnyModuleTest.PtrWithBaseClassSucceeds
2025-12-04T10:34:28.5694409Z [       OK ] AnyModuleTest.PtrWithBaseClassSucceeds (0 ms)
2025-12-04T10:34:28.5694833Z [ RUN      ] AnyModuleTest.PtrWithGoodDowncastSuccceeds
2025-12-04T10:34:28.5695324Z [       OK ] AnyModuleTest.PtrWithGoodDowncastSuccceeds (0 ms)
2025-12-04T10:34:28.5695771Z [ RUN      ] AnyModuleTest.PtrWithBadDowncastThrows
2025-12-04T10:34:28.5696179Z [       OK ] AnyModuleTest.PtrWithBadDowncastThrows (0 ms)
2025-12-04T10:34:28.5696595Z [ RUN      ] AnyModuleTest.DefaultStateIsEmpty
2025-12-04T10:34:28.5697026Z [       OK ] AnyModuleTest.DefaultStateIsEmpty (0 ms)
2025-12-04T10:34:28.5697461Z [ RUN      ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule
2025-12-04T10:34:28.5697984Z [       OK ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule (0 ms)
2025-12-04T10:34:28.5698496Z [ RUN      ] AnyModuleTest.CanMoveAssignDifferentModules
2025-12-04T10:34:28.5699095Z [       OK ] AnyModuleTest.CanMoveAssignDifferentModules (0 ms)
2025-12-04T10:34:28.5699638Z [ RUN      ] AnyModuleTest.ConstructsFromModuleHolder
2025-12-04T10:34:28.5700153Z [       OK ] AnyModuleTest.ConstructsFromModuleHolder (0 ms)
2025-12-04T10:34:28.5700739Z [ RUN      ] AnyModuleTest.ConvertsVariableToTensorCorrectly
2025-12-04T10:34:28.5701379Z [       OK ] AnyModuleTest.ConvertsVariableToTensorCorrectly (0 ms)
2025-12-04T10:34:28.5701829Z [----------] 18 tests from AnyModuleTest (2 ms total)
2025-12-04T10:34:28.5702089Z 
2025-12-04T10:34:28.5702203Z [----------] 12 tests from AnyValueTest
2025-12-04T10:34:28.5702606Z [ RUN      ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType
2025-12-04T10:34:28.5703121Z [       OK ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType (0 ms)
2025-12-04T10:34:28.5703666Z [ RUN      ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType
2025-12-04T10:34:28.5704285Z [       OK ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType (0 ms)
2025-12-04T10:34:28.5704910Z [ RUN      ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType
2025-12-04T10:34:28.5705437Z [       OK ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType (0 ms)
2025-12-04T10:34:28.5705992Z [ RUN      ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType
2025-12-04T10:34:28.5706557Z [       OK ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType (0 ms)
2025-12-04T10:34:28.5707206Z [ RUN      ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType
2025-12-04T10:34:28.5707770Z [       OK ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType (0 ms)
2025-12-04T10:34:28.5708361Z [ RUN      ] AnyValueTest.TryGetReturnsNullptrForTheWrongType
2025-12-04T10:34:28.5708872Z [       OK ] AnyValueTest.TryGetReturnsNullptrForTheWrongType (0 ms)
2025-12-04T10:34:28.5709325Z [ RUN      ] AnyValueTest.GetThrowsForTheWrongType
2025-12-04T10:34:28.5709785Z [       OK ] AnyValueTest.GetThrowsForTheWrongType (0 ms)
2025-12-04T10:34:28.5710207Z [ RUN      ] AnyValueTest.MoveConstructionIsAllowed
2025-12-04T10:34:28.5710684Z [       OK ] AnyValueTest.MoveConstructionIsAllowed (0 ms)
2025-12-04T10:34:28.5711090Z [ RUN      ] AnyValueTest.MoveAssignmentIsAllowed
2025-12-04T10:34:28.5711583Z [       OK ] AnyValueTest.MoveAssignmentIsAllowed (0 ms)
2025-12-04T10:34:28.5712036Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForInt
2025-12-04T10:34:28.5712469Z [       OK ] AnyValueTest.TypeInfoIsCorrectForInt (0 ms)
2025-12-04T10:34:28.5712950Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForStringLiteral
2025-12-04T10:34:28.5713485Z [       OK ] AnyValueTest.TypeInfoIsCorrectForStringLiteral (0 ms)
2025-12-04T10:34:28.5713939Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForString
2025-12-04T10:34:28.5714390Z [       OK ] AnyValueTest.TypeInfoIsCorrectForString (0 ms)
2025-12-04T10:34:28.5714812Z [----------] 12 tests from AnyValueTest (0 ms total)
2025-12-04T10:34:28.5715057Z 
2025-12-04T10:34:28.5715175Z [----------] 50 tests from DataTest
2025-12-04T10:34:28.5715500Z [ RUN      ] DataTest.DatasetCallsGetCorrectly
2025-12-04T10:34:28.5715901Z [       OK ] DataTest.DatasetCallsGetCorrectly (0 ms)
2025-12-04T10:34:28.5716313Z [ RUN      ] DataTest.TransformCallsGetApplyCorrectly
2025-12-04T10:34:28.5716749Z [       OK ] DataTest.TransformCallsGetApplyCorrectly (0 ms)
2025-12-04T10:34:28.5717196Z [ RUN      ] DataTest.ChunkDataSetWithInvalidInitParameter
2025-12-04T10:34:28.5717678Z [       OK ] DataTest.ChunkDataSetWithInvalidInitParameter (0 ms)
2025-12-04T10:34:28.5718113Z [ RUN      ] DataTest.InfiniteStreamDataset
2025-12-04T10:34:28.5718471Z [       OK ] DataTest.InfiniteStreamDataset (0 ms)
2025-12-04T10:34:28.5718849Z [ RUN      ] DataTest.NoSequencerIsIdentity
2025-12-04T10:34:28.5719224Z [       OK ] DataTest.NoSequencerIsIdentity (0 ms)
2025-12-04T10:34:28.5719601Z [ RUN      ] DataTest.OrderedSequencerIsSetUpWell
2025-12-04T10:34:28.5720020Z [       OK ] DataTest.OrderedSequencerIsSetUpWell (0 ms)
2025-12-04T10:34:28.5720441Z [ RUN      ] DataTest.OrderedSequencerReOrdersValues
2025-12-04T10:34:28.5720878Z [       OK ] DataTest.OrderedSequencerReOrdersValues (0 ms)
2025-12-04T10:34:28.5721381Z [ RUN      ] DataTest.BatchLambdaAppliesFunctionToBatch
2025-12-04T10:34:28.5721842Z [       OK ] DataTest.BatchLambdaAppliesFunctionToBatch (0 ms)
2025-12-04T10:34:28.5722298Z [ RUN      ] DataTest.LambdaAppliesFunctionToExample
2025-12-04T10:34:28.5722722Z [       OK ] DataTest.LambdaAppliesFunctionToExample (0 ms)
2025-12-04T10:34:28.5723169Z [ RUN      ] DataTest.CollateReducesBatch
2025-12-04T10:34:28.5723540Z [       OK ] DataTest.CollateReducesBatch (0 ms)
2025-12-04T10:34:28.5723905Z [ RUN      ] DataTest.CollationReducesBatch
2025-12-04T10:34:28.5724283Z [       OK ] DataTest.CollationReducesBatch (0 ms)
2025-12-04T10:34:28.5724722Z [ RUN      ] DataTest.SequentialSamplerReturnsIndicesInOrder
2025-12-04T10:34:28.5725231Z [       OK ] DataTest.SequentialSamplerReturnsIndicesInOrder (0 ms)
2025-12-04T10:34:28.5725755Z [ RUN      ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch
2025-12-04T10:34:28.5726375Z [       OK ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch (0 ms)
2025-12-04T10:34:28.5726890Z [ RUN      ] DataTest.SequentialSamplerResetsWell
2025-12-04T10:34:28.5727289Z [       OK ] DataTest.SequentialSamplerResetsWell (0 ms)
2025-12-04T10:34:28.5727739Z [ RUN      ] DataTest.SequentialSamplerResetsWithNewSizeWell
2025-12-04T10:34:28.5728241Z [       OK ] DataTest.SequentialSamplerResetsWithNewSizeWell (0 ms)
2025-12-04T10:34:28.5728717Z [ RUN      ] DataTest.CanSaveAndLoadSequentialSampler
2025-12-04T10:34:28.6425644Z [       OK ] DataTest.CanSaveAndLoadSequentialSampler (71 ms)
2025-12-04T10:34:28.6426368Z [ RUN      ] DataTest.RandomSamplerReturnsIndicesInCorrectRange
2025-12-04T10:34:28.6427108Z [       OK ] DataTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms)
2025-12-04T10:34:28.6427757Z [ RUN      ] DataTest.RandomSamplerReturnsLessValuesForLastBatch
2025-12-04T10:34:28.6428294Z [       OK ] DataTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms)
2025-12-04T10:34:28.6428775Z [ RUN      ] DataTest.RandomSamplerResetsWell
2025-12-04T10:34:28.6429185Z [       OK ] DataTest.RandomSamplerResetsWell (0 ms)
2025-12-04T10:34:28.6429702Z [ RUN      ] DataTest.RandomSamplerResetsWithNewSizeWell
2025-12-04T10:34:28.6430161Z [       OK ] DataTest.RandomSamplerResetsWithNewSizeWell (0 ms)
2025-12-04T10:34:28.6430683Z [ RUN      ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence
2025-12-04T10:34:28.6449673Z [       OK ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence (1 ms)
2025-12-04T10:34:28.6450271Z [ RUN      ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder
2025-12-04T10:34:28.6450872Z [       OK ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder (0 ms)
2025-12-04T10:34:28.6451388Z [ RUN      ] DataTest.StreamSamplerResetsWell
2025-12-04T10:34:28.6451769Z [       OK ] DataTest.StreamSamplerResetsWell (0 ms)
2025-12-04T10:34:28.6452192Z [ RUN      ] DataTest.StreamSamplerResetsWithNewSizeWell
2025-12-04T10:34:28.6452652Z [       OK ] DataTest.StreamSamplerResetsWithNewSizeWell (0 ms)
2025-12-04T10:34:28.6453144Z [ RUN      ] DataTest.TensorDatasetConstructsFromSingleTensor
2025-12-04T10:34:28.6454675Z [       OK ] DataTest.TensorDatasetConstructsFromSingleTensor (0 ms)
2025-12-04T10:34:28.6455243Z [ RUN      ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors
2025-12-04T10:34:28.6460597Z [       OK ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors (0 ms)
2025-12-04T10:34:28.6461134Z [ RUN      ] DataTest.StackTransformWorksForExample
2025-12-04T10:34:28.6473664Z [       OK ] DataTest.StackTransformWorksForExample (1 ms)
2025-12-04T10:34:28.6474131Z [ RUN      ] DataTest.StackTransformWorksForTensorExample
2025-12-04T10:34:28.6479437Z [       OK ] DataTest.StackTransformWorksForTensorExample (0 ms)
2025-12-04T10:34:28.6479910Z [ RUN      ] DataTest.TensorTransformWorksForAnyTargetType
2025-12-04T10:34:28.6484044Z [       OK ] DataTest.TensorTransformWorksForAnyTargetType (0 ms)
2025-12-04T10:34:28.6484521Z [ RUN      ] DataTest.TensorLambdaWorksforAnyTargetType
2025-12-04T10:34:28.6488715Z [       OK ] DataTest.TensorLambdaWorksforAnyTargetType (0 ms)
2025-12-04T10:34:28.6489122Z [ RUN      ] DataTest.NormalizeTransform
2025-12-04T10:34:28.6519983Z [       OK ] DataTest.NormalizeTransform (3 ms)
2025-12-04T10:34:28.6520369Z [ RUN      ] DataTest.MapDoesNotCopy
2025-12-04T10:34:28.6521118Z [       OK ] DataTest.MapDoesNotCopy (0 ms)
2025-12-04T10:34:28.6521618Z [ RUN      ] DataTest.QueuePushAndPopFromSameThread
2025-12-04T10:34:28.6522052Z [       OK ] DataTest.QueuePushAndPopFromSameThread (0 ms)
2025-12-04T10:34:28.6522512Z [ RUN      ] DataTest.QueuePopWithTimeoutThrowsUponTimeout
2025-12-04T10:34:28.6622954Z [       OK ] DataTest.QueuePopWithTimeoutThrowsUponTimeout (10 ms)
2025-12-04T10:34:28.6623449Z [ RUN      ] DataTest.QueuePushAndPopFromDifferentThreads
2025-12-04T10:34:28.6829253Z [       OK ] DataTest.QueuePushAndPopFromDifferentThreads (20 ms)
2025-12-04T10:34:28.6829733Z [ RUN      ] DataTest.QueueClearEmptiesTheQueue
2025-12-04T10:34:28.6840049Z [       OK ] DataTest.QueueClearEmptiesTheQueue (1 ms)
2025-12-04T10:34:28.6840480Z [ RUN      ] DataTest.DataShuttleCanPushAndPopJob
2025-12-04T10:34:28.6840898Z [       OK ] DataTest.DataShuttleCanPushAndPopJob (0 ms)
2025-12-04T10:34:28.6841324Z [ RUN      ] DataTest.DataShuttleCanPushAndPopResult
2025-12-04T10:34:28.6841746Z [       OK ] DataTest.DataShuttleCanPushAndPopResult (0 ms)
2025-12-04T10:34:28.6842289Z [ RUN      ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight
2025-12-04T10:34:28.6843007Z [       OK ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight (0 ms)
2025-12-04T10:34:28.6843610Z [ RUN      ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt
2025-12-04T10:34:28.6844167Z [       OK ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt (0 ms)
2025-12-04T10:34:28.6844667Z [ RUN      ] DataTest.DataShuttlePopResultTimesOut
2025-12-04T10:34:28.6941356Z [       OK ] DataTest.DataShuttlePopResultTimesOut (10 ms)
2025-12-04T10:34:28.6941786Z [ RUN      ] DataTest.SharedBatchDatasetReallyIsShared
2025-12-04T10:34:28.6959727Z [       OK ] DataTest.SharedBatchDatasetReallyIsShared (1 ms)
2025-12-04T10:34:28.6960460Z [ RUN      ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject
2025-12-04T10:34:28.6961179Z [       OK ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject (0 ms)
2025-12-04T10:34:28.6961750Z [ RUN      ] DataTest.CanUseCustomTypeAsIndexType
2025-12-04T10:34:28.6962171Z [       OK ] DataTest.CanUseCustomTypeAsIndexType (0 ms)
2025-12-04T10:34:28.6962775Z [ RUN      ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples
2025-12-04T10:34:28.6963503Z [       OK ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples (0 ms)
2025-12-04T10:34:28.6964227Z [ RUN      ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples
2025-12-04T10:34:28.6964940Z [       OK ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples (0 ms)
2025-12-04T10:34:28.6965559Z [ RUN      ] DataTest.CanSaveAndLoadDistributedRandomSampler
2025-12-04T10:34:28.6994672Z [       OK ] DataTest.CanSaveAndLoadDistributedRandomSampler (3 ms)
2025-12-04T10:34:28.6995414Z [ RUN      ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples
2025-12-04T10:34:28.6996195Z [       OK ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples (0 ms)
2025-12-04T10:34:28.6996961Z [ RUN      ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples
2025-12-04T10:34:28.6997744Z [       OK ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples (0 ms)
2025-12-04T10:34:28.6998405Z [ RUN      ] DataTest.CanSaveAndLoadDistributedSequentialSampler
2025-12-04T10:34:28.7012830Z [       OK ] DataTest.CanSaveAndLoadDistributedSequentialSampler (1 ms)
2025-12-04T10:34:28.7013303Z [----------] 50 tests from DataTest (131 ms total)
2025-12-04T10:34:28.7013561Z 
2025-12-04T10:34:28.7013686Z [----------] 37 tests from DataLoaderTest
2025-12-04T10:34:28.7014105Z [ RUN      ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected
2025-12-04T10:34:28.7014730Z [       OK ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected (0 ms)
2025-12-04T10:34:28.7015269Z [ RUN      ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues
2025-12-04T10:34:28.7015850Z [       OK ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues (0 ms)
2025-12-04T10:34:28.7016450Z [ RUN      ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected
2025-12-04T10:34:28.7016936Z [       OK ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected (0 ms)
2025-12-04T10:34:28.7017606Z [ RUN      ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset
2025-12-04T10:34:28.7018458Z [       OK ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset (0 ms)
2025-12-04T10:34:28.7019142Z [ RUN      ] DataLoaderTest.IteratorsCompareEqualToThemselves
2025-12-04T10:34:28.7019638Z [       OK ] DataLoaderTest.IteratorsCompareEqualToThemselves (0 ms)
2025-12-04T10:34:28.7020226Z [ RUN      ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther
2025-12-04T10:34:28.7020809Z [       OK ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther (0 ms)
2025-12-04T10:34:28.7021379Z [ RUN      ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther
2025-12-04T10:34:28.7021965Z [       OK ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther (0 ms)
2025-12-04T10:34:28.7022578Z [ RUN      ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted
2025-12-04T10:34:28.7023211Z [       OK ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted (0 ms)
2025-12-04T10:34:28.7023768Z [ RUN      ] DataLoaderTest.IteratorsShareState
2025-12-04T10:34:28.7024181Z [       OK ] DataLoaderTest.IteratorsShareState (0 ms)
2025-12-04T10:34:28.7024635Z [ RUN      ] DataLoaderTest.CanDereferenceIteratorMultipleTimes
2025-12-04T10:34:28.7025159Z [       OK ] DataLoaderTest.CanDereferenceIteratorMultipleTimes (0 ms)
2025-12-04T10:34:28.7025631Z [ RUN      ] DataLoaderTest.CanUseIteratorAlgorithms
2025-12-04T10:34:28.7026060Z [       OK ] DataLoaderTest.CanUseIteratorAlgorithms (0 ms)
2025-12-04T10:34:28.7026653Z [ RUN      ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows
2025-12-04T10:34:28.7027292Z [       OK ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows (0 ms)
2025-12-04T10:34:28.7027905Z [ RUN      ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows
2025-12-04T10:34:28.7028490Z [       OK ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows (0 ms)
2025-12-04T10:34:28.7029088Z [ RUN      ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows
2025-12-04T10:34:28.7029672Z [       OK ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows (0 ms)
2025-12-04T10:34:28.7030231Z [ RUN      ] DataLoaderTest.IncrementingSentinelIteratorThrows
2025-12-04T10:34:28.7030748Z [       OK ] DataLoaderTest.IncrementingSentinelIteratorThrows (0 ms)
2025-12-04T10:34:28.7031254Z [ RUN      ] DataLoaderTest.DereferencingSentinelIteratorThrows
2025-12-04T10:34:28.7031784Z [       OK ] DataLoaderTest.DereferencingSentinelIteratorThrows (0 ms)
2025-12-04T10:34:28.7032269Z [ RUN      ] DataLoaderTest.YieldsCorrectBatchSize
2025-12-04T10:34:28.7032687Z [       OK ] DataLoaderTest.YieldsCorrectBatchSize (0 ms)
2025-12-04T10:34:28.7033272Z [ RUN      ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse
2025-12-04T10:34:28.7034083Z [       OK ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse (0 ms)
2025-12-04T10:34:28.7034921Z [ RUN      ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue
2025-12-04T10:34:28.7035796Z [       OK ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue (0 ms)
2025-12-04T10:34:28.7036422Z [ RUN      ] DataLoaderTest.RespectsTimeout
2025-12-04T10:34:28.7133410Z [       OK ] DataLoaderTest.RespectsTimeout (10 ms)
2025-12-04T10:34:28.7133907Z [ RUN      ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured
2025-12-04T10:34:28.7153615Z [       OK ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured (1 ms)
2025-12-04T10:34:28.7154245Z [ RUN      ] DataLoaderTest.Reset
2025-12-04T10:34:28.7155461Z [       OK ] DataLoaderTest.Reset (0 ms)
2025-12-04T10:34:28.7155907Z [ RUN      ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers
2025-12-04T10:34:28.7160577Z [       OK ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers (0 ms)
2025-12-04T10:34:28.7161176Z [ RUN      ] DataLoaderTest.StatefulDatasetWithNoWorkers
2025-12-04T10:34:28.7161643Z [       OK ] DataLoaderTest.StatefulDatasetWithNoWorkers (0 ms)
2025-12-04T10:34:28.7162108Z [ RUN      ] DataLoaderTest.StatefulDatasetWithManyWorkers
2025-12-04T10:34:28.7176989Z [       OK ] DataLoaderTest.StatefulDatasetWithManyWorkers (1 ms)
2025-12-04T10:34:28.7177487Z [ RUN      ] DataLoaderTest.StatefulDatasetWithMap
2025-12-04T10:34:28.7180935Z [       OK ] DataLoaderTest.StatefulDatasetWithMap (0 ms)
2025-12-04T10:34:28.7181357Z [ RUN      ] DataLoaderTest.StatefulDatasetWithCollate
2025-12-04T10:34:28.7187851Z [       OK ] DataLoaderTest.StatefulDatasetWithCollate (0 ms)
2025-12-04T10:34:28.7188291Z [ RUN      ] DataLoaderTest.ChunkDataSetGetBatch
2025-12-04T10:34:28.7304837Z [       OK ] DataLoaderTest.ChunkDataSetGetBatch (11 ms)
2025-12-04T10:34:28.7305313Z [ RUN      ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch
2025-12-04T10:34:28.7314476Z [       OK ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch (1 ms)
2025-12-04T10:34:28.7314992Z [ RUN      ] DataLoaderTest.ChunkDataSetWithEmptyBatch
2025-12-04T10:34:28.7315525Z [       OK ] DataLoaderTest.ChunkDataSetWithEmptyBatch (0 ms)
2025-12-04T10:34:28.7316140Z [ RUN      ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize
2025-12-04T10:34:28.7318999Z [       OK ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize (0 ms)
2025-12-04T10:34:28.7319611Z [ RUN      ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet
2025-12-04T10:34:28.7321033Z [       OK ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet (0 ms)
2025-12-04T10:34:28.7321548Z [ RUN      ] DataLoaderTest.ChunkDatasetDoesNotHang
2025-12-04T10:34:28.7323368Z [       OK ] DataLoaderTest.ChunkDatasetDoesNotHang (0 ms)
2025-12-04T10:34:28.7323790Z [ RUN      ] DataLoaderTest.ChunkDatasetSave
2025-12-04T10:34:28.7604845Z [       OK ] DataLoaderTest.ChunkDatasetSave (28 ms)
2025-12-04T10:34:28.7605282Z [ RUN      ] DataLoaderTest.ChunkDatasetLoad
2025-12-04T10:34:28.7625682Z [       OK ] DataLoaderTest.ChunkDatasetLoad (2 ms)
2025-12-04T10:34:28.7626110Z [ RUN      ] DataLoaderTest.ChunkDatasetCrossChunkShuffle
2025-12-04T10:34:28.7636986Z [       OK ] DataLoaderTest.ChunkDatasetCrossChunkShuffle (1 ms)
2025-12-04T10:34:28.7637464Z [ RUN      ] DataLoaderTest.CustomPreprocessPolicy
2025-12-04T10:34:28.7643881Z [       OK ] DataLoaderTest.CustomPreprocessPolicy (0 ms)
2025-12-04T10:34:28.7644355Z [----------] 37 tests from DataLoaderTest (63 ms total)
2025-12-04T10:34:28.7644670Z 
2025-12-04T10:34:28.7644774Z [----------] 1 test from EnumTest
2025-12-04T10:34:28.7645080Z [ RUN      ] EnumTest.AllEnums
2025-12-04T10:34:28.7645403Z [       OK ] EnumTest.AllEnums (0 ms)
2025-12-04T10:34:28.7645766Z [----------] 1 test from EnumTest (0 ms total)
2025-12-04T10:34:28.7646008Z 
2025-12-04T10:34:28.7646130Z [----------] 6 tests from ExpandingArrayTest
2025-12-04T10:34:28.7646706Z [ RUN      ] ExpandingArrayTest.CanConstructFromInitializerList
2025-12-04T10:34:28.7647234Z [       OK ] ExpandingArrayTest.CanConstructFromInitializerList (0 ms)
2025-12-04T10:34:28.7647733Z [ RUN      ] ExpandingArrayTest.CanConstructFromVector
2025-12-04T10:34:28.7648189Z [       OK ] ExpandingArrayTest.CanConstructFromVector (0 ms)
2025-12-04T10:34:28.7648638Z [ RUN      ] ExpandingArrayTest.CanConstructFromArray
2025-12-04T10:34:28.7649059Z [       OK ] ExpandingArrayTest.CanConstructFromArray (0 ms)
2025-12-04T10:34:28.7649527Z [ RUN      ] ExpandingArrayTest.CanConstructFromSingleValue
2025-12-04T10:34:28.7650089Z [       OK ] ExpandingArrayTest.CanConstructFromSingleValue (0 ms)
2025-12-04T10:34:28.7650813Z [ RUN      ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList
2025-12-04T10:34:28.7651917Z [       OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList (0 ms)
2025-12-04T10:34:28.7652841Z [ RUN      ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector
2025-12-04T10:34:28.7653764Z [       OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector (0 ms)
2025-12-04T10:34:28.7654413Z [----------] 6 tests from ExpandingArrayTest (0 ms total)
2025-12-04T10:34:28.7654692Z 
2025-12-04T10:34:28.7654796Z [----------] 10 tests from FFTTest
2025-12-04T10:34:28.7655100Z [ RUN      ] FFTTest.fft
2025-12-04T10:34:28.7657566Z [       OK ] FFTTest.fft (1 ms)
2025-12-04T10:34:28.7657862Z [ RUN      ] FFTTest.fft_real
2025-12-04T10:34:28.7664479Z [       OK ] FFTTest.fft_real (0 ms)
2025-12-04T10:34:28.7664802Z [ RUN      ] FFTTest.fft_pad
2025-12-04T10:34:28.7677260Z [       OK ] FFTTest.fft_pad (1 ms)
2025-12-04T10:34:28.7678819Z [ RUN      ] FFTTest.fft_norm
2025-12-04T10:34:28.7688703Z [       OK ] FFTTest.fft_norm (1 ms)
2025-12-04T10:34:28.7689385Z [ RUN      ] FFTTest.ifft
2025-12-04T10:34:28.7696215Z [       OK ] FFTTest.ifft (0 ms)
2025-12-04T10:34:28.7696842Z [ RUN      ] FFTTest.fft_ifft
2025-12-04T10:34:28.7702751Z [       OK ] FFTTest.fft_ifft (0 ms)
2025-12-04T10:34:28.7711488Z [ RUN      ] FFTTest.rfft
2025-12-04T10:34:28.7712084Z [       OK ] FFTTest.rfft (0 ms)
2025-12-04T10:34:28.7712701Z [ RUN      ] FFTTest.rfft_irfft
2025-12-04T10:34:28.7717197Z [       OK ] FFTTest.rfft_irfft (0 ms)
2025-12-04T10:34:28.7717876Z [ RUN      ] FFTTest.ihfft
2025-12-04T10:34:28.7726807Z [       OK ] FFTTest.ihfft (0 ms)
2025-12-04T10:34:28.7727451Z [ RUN      ] FFTTest.hfft_ihfft
2025-12-04T10:34:28.7735424Z [       OK ] FFTTest.hfft_ihfft (0 ms)
2025-12-04T10:34:28.7736142Z [----------] 10 tests from FFTTest (8 ms total)
2025-12-04T10:34:28.7736629Z 
2025-12-04T10:34:28.7736906Z [----------] 134 tests from FunctionalTest
2025-12-04T10:34:28.7737450Z [ RUN      ] FunctionalTest.Conv1d
2025-12-04T10:34:28.7782344Z [       OK ] FunctionalTest.Conv1d (4 ms)
2025-12-04T10:34:28.7782736Z [ RUN      ] FunctionalTest.Conv2dEven
2025-12-04T10:34:28.7796120Z [       OK ] FunctionalTest.Conv2dEven (1 ms)
2025-12-04T10:34:28.7796506Z [ RUN      ] FunctionalTest.Conv2dUneven
2025-12-04T10:34:28.7806714Z [       OK ] FunctionalTest.Conv2dUneven (1 ms)
2025-12-04T10:34:28.7807093Z [ RUN      ] FunctionalTest.Conv3d
2025-12-04T10:34:28.7824294Z [       OK ] FunctionalTest.Conv3d (1 ms)
2025-12-04T10:34:28.7824663Z [ RUN      ] FunctionalTest.MaxPool1d
2025-12-04T10:34:28.7828225Z [       OK ] FunctionalTest.MaxPool1d (0 ms)
2025-12-04T10:34:28.7828583Z [ RUN      ] FunctionalTest.MaxPool2d
2025-12-04T10:34:28.7831937Z [       OK ] FunctionalTest.MaxPool2d (0 ms)
2025-12-04T10:34:28.7832287Z [ RUN      ] FunctionalTest.MaxPool2dBackward
2025-12-04T10:34:28.7837294Z [       OK ] FunctionalTest.MaxPool2dBackward (0 ms)
2025-12-04T10:34:28.7837686Z [ RUN      ] FunctionalTest.MaxPool3d
2025-12-04T10:34:28.7841191Z [       OK ] FunctionalTest.MaxPool3d (0 ms)
2025-12-04T10:34:28.7841542Z [ RUN      ] FunctionalTest.AvgPool1d
2025-12-04T10:34:28.7845703Z [       OK ] FunctionalTest.AvgPool1d (0 ms)
2025-12-04T10:34:28.7846057Z [ RUN      ] FunctionalTest.AvgPool2d
2025-12-04T10:34:28.7848762Z [       OK ] FunctionalTest.AvgPool2d (0 ms)
2025-12-04T10:34:28.7849113Z [ RUN      ] FunctionalTest.AvgPool3d
2025-12-04T10:34:28.7852327Z [       OK ] FunctionalTest.AvgPool3d (0 ms)
2025-12-04T10:34:28.7852699Z [ RUN      ] FunctionalTest.FractionalMaxPool2d
2025-12-04T10:34:28.7868835Z [       OK ] FunctionalTest.FractionalMaxPool2d (1 ms)
2025-12-04T10:34:28.7869287Z [ RUN      ] FunctionalTest.FractionalMaxPool3d
2025-12-04T10:34:28.7877896Z [       OK ] FunctionalTest.FractionalMaxPool3d (0 ms)
2025-12-04T10:34:28.7878336Z [ RUN      ] FunctionalTest.LPPool1d
2025-12-04T10:34:28.7885706Z [       OK ] FunctionalTest.LPPool1d (0 ms)
2025-12-04T10:34:28.7886089Z [ RUN      ] FunctionalTest.LPPool2d
2025-12-04T10:34:28.7891034Z [       OK ] FunctionalTest.LPPool2d (0 ms)
2025-12-04T10:34:28.7891384Z [ RUN      ] FunctionalTest.LPPool3d
2025-12-04T10:34:28.7896778Z [       OK ] FunctionalTest.LPPool3d (0 ms)
2025-12-04T10:34:28.7897144Z [ RUN      ] FunctionalTest.CosineSimilarity
2025-12-04T10:34:28.7905200Z [       OK ] FunctionalTest.CosineSimilarity (0 ms)
2025-12-04T10:34:28.7905637Z [ RUN      ] FunctionalTest.SmoothL1LossDefaultOptions
2025-12-04T10:34:28.7915426Z [       OK ] FunctionalTest.SmoothL1LossDefaultOptions (1 ms)
2025-12-04T10:34:28.7915899Z [ RUN      ] FunctionalTest.SmoothL1LossBeta
2025-12-04T10:34:28.7921695Z [       OK ] FunctionalTest.SmoothL1LossBeta (0 ms)
2025-12-04T10:34:28.7922103Z [ RUN      ] FunctionalTest.SmoothL1LossBetaOptions
2025-12-04T10:34:28.7927818Z [       OK ] FunctionalTest.SmoothL1LossBetaOptions (0 ms)
2025-12-04T10:34:28.7928232Z [ RUN      ] FunctionalTest.SmoothL1LossNoReduction
2025-12-04T10:34:28.7934276Z [       OK ] FunctionalTest.SmoothL1LossNoReduction (0 ms)
2025-12-04T10:34:28.7934717Z [ RUN      ] FunctionalTest.HuberLossDefaultOptions
2025-12-04T10:34:28.7942505Z [       OK ] FunctionalTest.HuberLossDefaultOptions (0 ms)
2025-12-04T10:34:28.7942902Z [ RUN      ] FunctionalTest.HuberLossDelta
2025-12-04T10:34:28.7949747Z [       OK ] FunctionalTest.HuberLossDelta (0 ms)
2025-12-04T10:34:28.7950157Z [ RUN      ] FunctionalTest.HuberLossNoReduction
2025-12-04T10:34:28.7955780Z [       OK ] FunctionalTest.HuberLossNoReduction (0 ms)
2025-12-04T10:34:28.7956318Z [ RUN      ] FunctionalTest.SoftMarginLossDefaultOptions
2025-12-04T10:34:28.7968545Z [       OK ] FunctionalTest.SoftMarginLossDefaultOptions (1 ms)
2025-12-04T10:34:28.7969067Z [ RUN      ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions
2025-12-04T10:34:28.7987446Z [       OK ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions (1 ms)
2025-12-04T10:34:28.7987969Z [ RUN      ] FunctionalTest.SoftMarginLossNoReduction
2025-12-04T10:34:28.7994981Z [       OK ] FunctionalTest.SoftMarginLossNoReduction (0 ms)
2025-12-04T10:34:28.7995512Z [ RUN      ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction
2025-12-04T10:34:28.8008723Z [       OK ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction (1 ms)
2025-12-04T10:34:28.8009255Z [ RUN      ] FunctionalTest.PairwiseDistance
2025-12-04T10:34:28.8014952Z [       OK ] FunctionalTest.PairwiseDistance (0 ms)
2025-12-04T10:34:28.8015313Z [ RUN      ] FunctionalTest.PDist
2025-12-04T10:34:28.8022278Z [       OK ] FunctionalTest.PDist (0 ms)
2025-12-04T10:34:28.8022656Z [ RUN      ] FunctionalTest.AdaptiveMaxPool1d
2025-12-04T10:34:28.8026795Z [       OK ] FunctionalTest.AdaptiveMaxPool1d (0 ms)
2025-12-04T10:34:28.8027181Z [ RUN      ] FunctionalTest.AdaptiveMaxPool2d
2025-12-04T10:34:28.8029749Z [       OK ] FunctionalTest.AdaptiveMaxPool2d (0 ms)
2025-12-04T10:34:28.8030163Z [ RUN      ] FunctionalTest.AdaptiveMaxPool3d
2025-12-04T10:34:28.8033340Z [       OK ] FunctionalTest.AdaptiveMaxPool3d (0 ms)
2025-12-04T10:34:28.8033751Z [ RUN      ] FunctionalTest.AdaptiveAvgPool1d
2025-12-04T10:34:28.8036792Z [       OK ] FunctionalTest.AdaptiveAvgPool1d (0 ms)
2025-12-04T10:34:28.8037191Z [ RUN      ] FunctionalTest.AdaptiveAvgPool2d
2025-12-04T10:34:28.8039533Z [       OK ] FunctionalTest.AdaptiveAvgPool2d (0 ms)
2025-12-04T10:34:28.8039939Z [ RUN      ] FunctionalTest.AdaptiveAvgPool3d
2025-12-04T10:34:28.8042875Z [       OK ] FunctionalTest.AdaptiveAvgPool3d (0 ms)
2025-12-04T10:34:28.8043230Z [ RUN      ] FunctionalTest.L1Loss
2025-12-04T10:34:28.8052264Z [       OK ] FunctionalTest.L1Loss (0 ms)
2025-12-04T10:34:28.8052623Z [ RUN      ] FunctionalTest.MSELoss
2025-12-04T10:34:28.8058605Z [       OK ] FunctionalTest.MSELoss (0 ms)
2025-12-04T10:34:28.8058973Z [ RUN      ] FunctionalTest.BCELoss
2025-12-04T10:34:28.8065129Z [       OK ] FunctionalTest.BCELoss (0 ms)
2025-12-04T10:34:28.8065576Z [ RUN      ] FunctionalTest.KLDivLoss
2025-12-04T10:34:28.8067243Z [W1204 10:34:28.481873118 loss.h:54] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div)
2025-12-04T10:34:28.8072298Z [       OK ] FunctionalTest.KLDivLoss (0 ms)
2025-12-04T10:34:28.8072768Z [ RUN      ] FunctionalTest.HingeEmbeddingLoss
2025-12-04T10:34:28.8079438Z [       OK ] FunctionalTest.HingeEmbeddingLoss (0 ms)
2025-12-04T10:34:28.8079826Z [ RUN      ] FunctionalTest.GridSample
2025-12-04T10:34:28.8090665Z [W1204 10:34:28.484236394 vision.h:84] Warning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. (function grid_sample)
2025-12-04T10:34:28.8105957Z [       OK ] FunctionalTest.GridSample (2 ms)
2025-12-04T10:34:28.8106345Z [ RUN      ] FunctionalTest.AffineGrid
2025-12-04T10:34:28.8152442Z [       OK ] FunctionalTest.AffineGrid (4 ms)
2025-12-04T10:34:28.8152805Z [ RUN      ] FunctionalTest.MultiMarginLoss
2025-12-04T10:34:28.8157694Z [       OK ] FunctionalTest.MultiMarginLoss (0 ms)
2025-12-04T10:34:28.8158117Z [ RUN      ] FunctionalTest.CosineEmbeddingLoss
2025-12-04T10:34:28.8168037Z [       OK ] FunctionalTest.CosineEmbeddingLoss (0 ms)
2025-12-04T10:34:28.8168585Z [ RUN      ] FunctionalTest.MultiLabelMarginLossDefaultOptions
2025-12-04T10:34:28.8176164Z [       OK ] FunctionalTest.MultiLabelMarginLossDefaultOptions (0 ms)
2025-12-04T10:34:28.8176760Z [ RUN      ] FunctionalTest.MultiLabelMarginLossNoReduction
2025-12-04T10:34:28.8183043Z [       OK ] FunctionalTest.MultiLabelMarginLossNoReduction (0 ms)
2025-12-04T10:34:28.8183495Z [ RUN      ] FunctionalTest.TripletMarginLoss
2025-12-04T10:34:28.8189287Z [       OK ] FunctionalTest.TripletMarginLoss (0 ms)
2025-12-04T10:34:28.8189786Z [ RUN      ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity
2025-12-04T10:34:28.8874221Z [       OK ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity (68 ms)
2025-12-04T10:34:28.8874750Z [ RUN      ] FunctionalTest.NLLLoss
2025-12-04T10:34:28.8880332Z [       OK ] FunctionalTest.NLLLoss (0 ms)
2025-12-04T10:34:28.8880691Z [ RUN      ] FunctionalTest.CrossEntropy
2025-12-04T10:34:28.8899388Z [       OK ] FunctionalTest.CrossEntropy (1 ms)
2025-12-04T10:34:28.8899770Z [ RUN      ] FunctionalTest.MaxUnpool1d
2025-12-04T10:34:28.8920744Z [       OK ] FunctionalTest.MaxUnpool1d (2 ms)
2025-12-04T10:34:28.8921125Z [ RUN      ] FunctionalTest.MaxUnpool2d
2025-12-04T10:34:28.8943426Z [       OK ] FunctionalTest.MaxUnpool2d (2 ms)
2025-12-04T10:34:28.8943818Z [ RUN      ] FunctionalTest.MaxUnpool3d
2025-12-04T10:34:28.8957054Z [       OK ] FunctionalTest.MaxUnpool3d (1 ms)
2025-12-04T10:34:28.8957709Z [ RUN      ] FunctionalTest.ELU
2025-12-04T10:34:28.9036306Z [       OK ] FunctionalTest.ELU (7 ms)
2025-12-04T10:34:28.9036927Z [ RUN      ] FunctionalTest.SELU
2025-12-04T10:34:28.9057949Z [       OK ] FunctionalTest.SELU (2 ms)
2025-12-04T10:34:28.9058572Z [ RUN      ] FunctionalTest.GLU
2025-12-04T10:34:28.9066897Z [       OK ] FunctionalTest.GLU (0 ms)
2025-12-04T10:34:28.9067494Z [ RUN      ] FunctionalTest.GELU
2025-12-04T10:34:28.9080983Z [       OK ] FunctionalTest.GELU (1 ms)
2025-12-04T10:34:28.9081633Z [ RUN      ] FunctionalTest.TanhGELU
2025-12-04T10:34:28.9087220Z [       OK ] FunctionalTest.TanhGELU (0 ms)
2025-12-04T10:34:28.9087853Z [ RUN      ] FunctionalTest.Hardshrink
2025-12-04T10:34:28.9133498Z [       OK ] FunctionalTest.Hardshrink (4 ms)
2025-12-04T10:34:28.9134161Z [ RUN      ] FunctionalTest.OneHot
2025-12-04T10:34:28.9151786Z [       OK ] FunctionalTest.OneHot (1 ms)
2025-12-04T10:34:28.9152438Z [ RUN      ] FunctionalTest.Hardtanh
2025-12-04T10:34:28.9298139Z [       OK ] FunctionalTest.Hardtanh (14 ms)
2025-12-04T10:34:28.9346816Z [ RUN      ] FunctionalTest.LeakyReLU
2025-12-04T10:34:28.9347451Z [       OK ] FunctionalTest.LeakyReLU (4 ms)
2025-12-04T10:34:28.9348046Z [ RUN      ] FunctionalTest.LogSigmoid
2025-12-04T10:34:28.9352282Z [       OK ] FunctionalTest.LogSigmoid (0 ms)
2025-12-04T10:34:28.9352956Z [ RUN      ] FunctionalTest.GumbelSoftmax
2025-12-04T10:34:28.9509093Z [       OK ] FunctionalTest.GumbelSoftmax (15 ms)
2025-12-04T10:34:28.9509797Z [ RUN      ] FunctionalTest.Softmax
2025-12-04T10:34:28.9515065Z [       OK ] FunctionalTest.Softmax (0 ms)
2025-12-04T10:34:28.9515694Z [ RUN      ] FunctionalTest.Softmin
2025-12-04T10:34:28.9522050Z [       OK ] FunctionalTest.Softmin (0 ms)
2025-12-04T10:34:28.9522714Z [ RUN      ] FunctionalTest.LogSoftmax
2025-12-04T10:34:28.9528773Z [       OK ] FunctionalTest.LogSoftmax (0 ms)
2025-12-04T10:34:28.9529430Z [ RUN      ] FunctionalTest.PReLU
2025-12-04T10:34:28.9537698Z [       OK ] FunctionalTest.PReLU (0 ms)
2025-12-04T10:34:28.9538346Z [ RUN      ] FunctionalTest.LayerNorm
2025-12-04T10:34:28.9541445Z [       OK ] FunctionalTest.LayerNorm (0 ms)
2025-12-04T10:34:28.9542226Z [ RUN      ] FunctionalTest.GroupNorm
2025-12-04T10:34:28.9545527Z [       OK ] FunctionalTest.GroupNorm (0 ms)
2025-12-04T10:34:28.9546201Z [ RUN      ] FunctionalTest.LocalResponseNorm
2025-12-04T10:34:28.9553976Z [       OK ] FunctionalTest.LocalResponseNorm (0 ms)
2025-12-04T10:34:28.9554690Z [ RUN      ] FunctionalTest.Linear
2025-12-04T10:34:28.9569056Z [       OK ] FunctionalTest.Linear (1 ms)
2025-12-04T10:34:28.9569687Z [ RUN      ] FunctionalTest.Embedding
2025-12-04T10:34:28.9574262Z [       OK ] FunctionalTest.Embedding (0 ms)
2025-12-04T10:34:28.9575043Z [ RUN      ] FunctionalTest.EmbeddingBag
2025-12-04T10:34:28.9592167Z [       OK ] FunctionalTest.EmbeddingBag (1 ms)
2025-12-04T10:34:28.9592846Z [ RUN      ] FunctionalTest.Bilinear
2025-12-04T10:34:28.9607319Z [       OK ] FunctionalTest.Bilinear (1 ms)
2025-12-04T10:34:28.9607980Z [ RUN      ] FunctionalTest.Normalize
2025-12-04T10:34:28.9629456Z [       OK ] FunctionalTest.Normalize (2 ms)
2025-12-04T10:34:28.9630117Z [ RUN      ] FunctionalTest.ReLU
2025-12-04T10:34:28.9645005Z [       OK ] FunctionalTest.ReLU (1 ms)
2025-12-04T10:34:28.9645677Z [ RUN      ] FunctionalTest.ReLUDefaultOptions
2025-12-04T10:34:28.9649151Z [       OK ] FunctionalTest.ReLUDefaultOptions (0 ms)
2025-12-04T10:34:28.9649843Z [ RUN      ] FunctionalTest.ReLU6
2025-12-04T10:34:28.9666526Z [       OK ] FunctionalTest.ReLU6 (1 ms)
2025-12-04T10:34:28.9667255Z [ RUN      ] FunctionalTest.ReLU6DefaultOptions
2025-12-04T10:34:28.9672125Z [       OK ] FunctionalTest.ReLU6DefaultOptions (0 ms)
2025-12-04T10:34:28.9672825Z [ RUN      ] FunctionalTest.RReLU
2025-12-04T10:34:28.9855558Z [       OK ] FunctionalTest.RReLU (18 ms)
2025-12-04T10:34:28.9856236Z [ RUN      ] FunctionalTest.RReLUDefaultOptions
2025-12-04T10:34:28.9864980Z [       OK ] FunctionalTest.RReLUDefaultOptions (0 ms)
2025-12-04T10:34:28.9865694Z [ RUN      ] FunctionalTest.CELU
2025-12-04T10:34:28.9928292Z [       OK ] FunctionalTest.CELU (6 ms)
2025-12-04T10:34:28.9929016Z [ RUN      ] FunctionalTest.CELUDefaultOptions
2025-12-04T10:34:28.9935671Z [       OK ] FunctionalTest.CELUDefaultOptions (0 ms)
2025-12-04T10:34:28.9936348Z [ RUN      ] FunctionalTest.PixelShuffle
2025-12-04T10:34:28.9942905Z [       OK ] FunctionalTest.PixelShuffle (0 ms)
2025-12-04T10:34:28.9943601Z [ RUN      ] FunctionalTest.PixelUnshuffle
2025-12-04T10:34:28.9950243Z [       OK ] FunctionalTest.PixelUnshuffle (0 ms)
2025-12-04T10:34:28.9950917Z [ RUN      ] FunctionalTest.Softplus
2025-12-04T10:34:28.9995253Z [       OK ] FunctionalTest.Softplus (4 ms)
2025-12-04T10:34:28.9995979Z [ RUN      ] FunctionalTest.SoftplusDefaultOptions
2025-12-04T10:34:29.0000401Z [       OK ] FunctionalTest.SoftplusDefaultOptions (0 ms)
2025-12-04T10:34:29.0001100Z [ RUN      ] FunctionalTest.Fold
2025-12-04T10:34:29.0005809Z [       OK ] FunctionalTest.Fold (0 ms)
2025-12-04T10:34:29.0006432Z [ RUN      ] FunctionalTest.Unfold
2025-12-04T10:34:29.0011955Z [       OK ] FunctionalTest.Unfold (0 ms)
2025-12-04T10:34:29.0012603Z [ RUN      ] FunctionalTest.Softshrink
2025-12-04T10:34:29.0047587Z [       OK ] FunctionalTest.Softshrink (3 ms)
2025-12-04T10:34:29.0048306Z [ RUN      ] FunctionalTest.SoftshrinkDefaultOptions
2025-12-04T10:34:29.0053073Z [       OK ] FunctionalTest.SoftshrinkDefaultOptions (0 ms)
2025-12-04T10:34:29.0053773Z [ RUN      ] FunctionalTest.Softsign
2025-12-04T10:34:29.0057194Z [       OK ] FunctionalTest.Softsign (0 ms)
2025-12-04T10:34:29.0057951Z [ RUN      ] FunctionalTest.Mish
2025-12-04T10:34:29.0062830Z [       OK ] FunctionalTest.Mish (0 ms)
2025-12-04T10:34:29.0063455Z [ RUN      ] FunctionalTest.Tanhshrink
2025-12-04T10:34:29.0066785Z [       OK ] FunctionalTest.Tanhshrink (0 ms)
2025-12-04T10:34:29.0067450Z [ RUN      ] FunctionalTest.Threshold
2025-12-04T10:34:29.0133195Z [       OK ] FunctionalTest.Threshold (6 ms)
2025-12-04T10:34:29.0133856Z [ RUN      ] FunctionalTest.BatchNorm1d
2025-12-04T10:34:29.0138551Z [       OK ] FunctionalTest.BatchNorm1d (0 ms)
2025-12-04T10:34:29.0139282Z [ RUN      ] FunctionalTest.BatchNorm1dDefaultOptions
2025-12-04T10:34:29.0142909Z [       OK ] FunctionalTest.BatchNorm1dDefaultOptions (0 ms)
2025-12-04T10:34:29.0143524Z [ RUN      ] FunctionalTest.BatchNorm2d
2025-12-04T10:34:29.0149364Z [       OK ] FunctionalTest.BatchNorm2d (0 ms)
2025-12-04T10:34:29.0150100Z [ RUN      ] FunctionalTest.BatchNorm2dDefaultOptions
2025-12-04T10:34:29.0154392Z [       OK ] FunctionalTest.BatchNorm2dDefaultOptions (0 ms)
2025-12-04T10:34:29.0155081Z [ RUN      ] FunctionalTest.BatchNorm3d
2025-12-04T10:34:29.0159191Z [       OK ] FunctionalTest.BatchNorm3d (0 ms)
2025-12-04T10:34:29.0160026Z [ RUN      ] FunctionalTest.BatchNorm3dDefaultOptions
2025-12-04T10:34:29.0163871Z [       OK ] FunctionalTest.BatchNorm3dDefaultOptions (0 ms)
2025-12-04T10:34:29.0164590Z [ RUN      ] FunctionalTest.InstanceNorm1d
2025-12-04T10:34:29.0178820Z [       OK ] FunctionalTest.InstanceNorm1d (1 ms)
2025-12-04T10:34:29.0179578Z [ RUN      ] FunctionalTest.InstanceNorm1dDefaultOptions
2025-12-04T10:34:29.0185703Z [       OK ] FunctionalTest.InstanceNorm1dDefaultOptions (0 ms)
2025-12-04T10:34:29.0186424Z [ RUN      ] FunctionalTest.InstanceNorm2d
2025-12-04T10:34:29.0199058Z [       OK ] FunctionalTest.InstanceNorm2d (1 ms)
2025-12-04T10:34:29.0199785Z [ RUN      ] FunctionalTest.InstanceNorm2dDefaultOptions
2025-12-04T10:34:29.0207456Z [       OK ] FunctionalTest.InstanceNorm2dDefaultOptions (0 ms)
2025-12-04T10:34:29.0208171Z [ RUN      ] FunctionalTest.InstanceNorm3d
2025-12-04T10:34:29.0225888Z [       OK ] FunctionalTest.InstanceNorm3d (1 ms)
2025-12-04T10:34:29.0226664Z [ RUN      ] FunctionalTest.InstanceNorm3dDefaultOptions
2025-12-04T10:34:29.0239291Z [       OK ] FunctionalTest.InstanceNorm3dDefaultOptions (1 ms)
2025-12-04T10:34:29.0240009Z [ RUN      ] FunctionalTest.Interpolate
2025-12-04T10:34:29.0255593Z [W1204 10:34:29.700611676 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:34:29.0259341Z [W1204 10:34:29.700981305 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:34:29.0263291Z [W1204 10:34:29.701374475 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:34:29.0267093Z [W1204 10:34:29.701594978 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:34:29.0270737Z [W1204 10:34:29.701966273 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:34:29.0274442Z [W1204 10:34:29.702410338 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:34:29.0279330Z [W1204 10:34:29.702999908 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:34:29.0283010Z [W1204 10:34:29.703359544 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:34:29.0327749Z [       OK ] FunctionalTest.Interpolate (8 ms)
2025-12-04T10:34:29.0328418Z [ RUN      ] FunctionalTest.Pad1
2025-12-04T10:34:29.0332388Z [       OK ] FunctionalTest.Pad1 (0 ms)
2025-12-04T10:34:29.0333014Z [ RUN      ] FunctionalTest.Pad2
2025-12-04T10:34:29.0340935Z [       OK ] FunctionalTest.Pad2 (0 ms)
2025-12-04T10:34:29.0341549Z [ RUN      ] FunctionalTest.Pad3
2025-12-04T10:34:29.0365482Z [       OK ] FunctionalTest.Pad3 (2 ms)
2025-12-04T10:34:29.0366087Z [ RUN      ] FunctionalTest.Pad4
2025-12-04T10:34:29.0373919Z [       OK ] FunctionalTest.Pad4 (0 ms)
2025-12-04T10:34:29.0374538Z [ RUN      ] FunctionalTest.Pad5
2025-12-04T10:34:29.0388925Z [       OK ] FunctionalTest.Pad5 (1 ms)
2025-12-04T10:34:29.0389528Z [ RUN      ] FunctionalTest.Pad6
2025-12-04T10:34:29.0400306Z [       OK ] FunctionalTest.Pad6 (1 ms)
2025-12-04T10:34:29.0400933Z [ RUN      ] FunctionalTest.Pad7
2025-12-04T10:34:29.0401940Z [       OK ] FunctionalTest.Pad7 (0 ms)
2025-12-04T10:34:29.0402563Z [ RUN      ] FunctionalTest.Pad8
2025-12-04T10:34:29.0403121Z [       OK ] FunctionalTest.Pad8 (0 ms)
2025-12-04T10:34:29.0403626Z [ RUN      ] FunctionalTest.CTCLoss
2025-12-04T10:34:29.0431406Z [       OK ] FunctionalTest.CTCLoss (2 ms)
2025-12-04T10:34:29.0432097Z [ RUN      ] FunctionalTest.PoissonNLLLoss
2025-12-04T10:34:29.0445343Z [       OK ] FunctionalTest.PoissonNLLLoss (1 ms)
2025-12-04T10:34:29.0446030Z [ RUN      ] FunctionalTest.MarginRankingLoss
2025-12-04T10:34:29.0462607Z [       OK ] FunctionalTest.MarginRankingLoss (1 ms)
2025-12-04T10:34:29.0463333Z [ RUN      ] FunctionalTest.ConvTranspose1d
2025-12-04T10:34:29.0550646Z [       OK ] FunctionalTest.ConvTranspose1d (8 ms)
2025-12-04T10:34:29.0551366Z [ RUN      ] FunctionalTest.ConvTranspose2dEven
2025-12-04T10:34:29.0571636Z [       OK ] FunctionalTest.ConvTranspose2dEven (2 ms)
2025-12-04T10:34:29.0572371Z [ RUN      ] FunctionalTest.ConvTranspose2dUneven
2025-12-04T10:34:29.0588976Z [       OK ] FunctionalTest.ConvTranspose2dUneven (1 ms)
2025-12-04T10:34:29.0589675Z [ RUN      ] FunctionalTest.ConvTranspose3d
2025-12-04T10:34:29.0602672Z [       OK ] FunctionalTest.ConvTranspose3d (1 ms)
2025-12-04T10:34:29.0603391Z [ RUN      ] FunctionalTest.AlphaDropout
2025-12-04T10:34:29.0662154Z [       OK ] FunctionalTest.AlphaDropout (5 ms)
2025-12-04T10:34:29.0662872Z [ RUN      ] FunctionalTest.FeatureAlphaDropout
2025-12-04T10:34:29.0720693Z [       OK ] FunctionalTest.FeatureAlphaDropout (5 ms)
2025-12-04T10:34:29.0721358Z [ RUN      ] FunctionalTest.Dropout
2025-12-04T10:34:29.0748444Z [       OK ] FunctionalTest.Dropout (2 ms)
2025-12-04T10:34:29.0749101Z [ RUN      ] FunctionalTest.Dropout2d
2025-12-04T10:34:29.0774130Z [       OK ] FunctionalTest.Dropout2d (2 ms)
2025-12-04T10:34:29.0774928Z [ RUN      ] FunctionalTest.Dropout3d
2025-12-04T10:34:29.0799372Z [       OK ] FunctionalTest.Dropout3d (2 ms)
2025-12-04T10:34:29.0800042Z [ RUN      ] FunctionalTest.isfinite
2025-12-04T10:34:29.0827833Z [       OK ] FunctionalTest.isfinite (2 ms)
2025-12-04T10:34:29.0828484Z [ RUN      ] FunctionalTest.isinf
2025-12-04T10:34:29.0851676Z [       OK ] FunctionalTest.isinf (2 ms)
2025-12-04T10:34:29.0852298Z [ RUN      ] FunctionalTest.AllClose
2025-12-04T10:34:29.1264074Z [       OK ] FunctionalTest.AllClose (41 ms)
2025-12-04T10:34:29.1264930Z [ RUN      ] FunctionalTest.BCEWithLogitsLoss
2025-12-04T10:34:29.1332448Z [       OK ] FunctionalTest.BCEWithLogitsLoss (6 ms)
2025-12-04T10:34:29.1333180Z [----------] 134 tests from FunctionalTest (359 ms total)
2025-12-04T10:34:29.1333454Z 
2025-12-04T10:34:29.1333558Z [----------] 9 tests from InitTest
2025-12-04T10:34:29.1420926Z [ RUN      ] InitTest.ProducesPyTorchValues_XavierUniform
2025-12-04T10:34:29.1421710Z [       OK ] InitTest.ProducesPyTorchValues_XavierUniform (8 ms)
2025-12-04T10:34:29.1422161Z [ RUN      ] InitTest.ProducesPyTorchValues_XavierNormal
2025-12-04T10:34:29.1494698Z [       OK ] InitTest.ProducesPyTorchValues_XavierNormal (7 ms)
2025-12-04T10:34:29.1495471Z [ RUN      ] InitTest.ProducesPyTorchValues_KaimingNormal
2025-12-04T10:34:29.1569796Z [       OK ] InitTest.ProducesPyTorchValues_KaimingNormal (7 ms)
2025-12-04T10:34:29.1570552Z [ RUN      ] InitTest.ProducesPyTorchValues_KaimingUniform
2025-12-04T10:34:29.1640796Z [       OK ] InitTest.ProducesPyTorchValues_KaimingUniform (7 ms)
2025-12-04T10:34:29.1641578Z [ RUN      ] InitTest.CanInitializeTensorThatRequiresGrad
2025-12-04T10:34:29.1643076Z [       OK ] InitTest.CanInitializeTensorThatRequiresGrad (0 ms)
2025-12-04T10:34:29.1643854Z [ RUN      ] InitTest.CalculateGainWithTanh
2025-12-04T10:34:29.1644246Z [       OK ] InitTest.CalculateGainWithTanh (0 ms)
2025-12-04T10:34:29.1644628Z [ RUN      ] InitTest.CalculateGainWithRelu
2025-12-04T10:34:29.1644991Z [       OK ] InitTest.CalculateGainWithRelu (0 ms)
2025-12-04T10:34:29.1645386Z [ RUN      ] InitTest.CalculateGainWithLeakyRelu
2025-12-04T10:34:29.1645793Z [       OK ] InitTest.CalculateGainWithLeakyRelu (0 ms)
2025-12-04T10:34:29.1646190Z [ RUN      ] InitTest.CanInitializeCnnWithOrthogonal
2025-12-04T10:34:29.1652561Z [       OK ] InitTest.CanInitializeCnnWithOrthogonal (0 ms)
2025-12-04T10:34:29.1653308Z [----------] 9 tests from InitTest (31 ms total)
2025-12-04T10:34:29.1653548Z 
2025-12-04T10:34:29.1653677Z [----------] 1 test from IntegrationTest
2025-12-04T10:34:29.1654010Z [ RUN      ] IntegrationTest.CartPole
2025-12-04T10:35:59.3523773Z [       OK ] IntegrationTest.CartPole (90186 ms)
2025-12-04T10:35:59.3524309Z [----------] 1 test from IntegrationTest (90186 ms total)
2025-12-04T10:35:59.3524656Z 
2025-12-04T10:35:59.3524767Z [----------] 1 test from IValueTest
2025-12-04T10:35:59.3525089Z [ RUN      ] IValueTest.DeepcopyTensors
2025-12-04T10:35:59.3544687Z [       OK ] IValueTest.DeepcopyTensors (2 ms)
2025-12-04T10:35:59.3545362Z [----------] 1 test from IValueTest (2 ms total)
2025-12-04T10:35:59.3545606Z 
2025-12-04T10:35:59.3545739Z [----------] 6 tests from TorchScriptTest
2025-12-04T10:35:59.3546120Z [ RUN      ] TorchScriptTest.CanCompileMultipleFunctions
2025-12-04T10:35:59.6830526Z [       OK ] TorchScriptTest.CanCompileMultipleFunctions (328 ms)
2025-12-04T10:35:59.6831217Z [ RUN      ] TorchScriptTest.TestNestedIValueModuleArgMatching
2025-12-04T10:35:59.6936838Z [       OK ] TorchScriptTest.TestNestedIValueModuleArgMatching (10 ms)
2025-12-04T10:35:59.6937429Z [ RUN      ] TorchScriptTest.TestDictArgMatching
2025-12-04T10:35:59.6964362Z [       OK ] TorchScriptTest.TestDictArgMatching (2 ms)
2025-12-04T10:35:59.6964803Z [ RUN      ] TorchScriptTest.TestTupleArgMatching
2025-12-04T10:35:59.6984403Z [       OK ] TorchScriptTest.TestTupleArgMatching (1 ms)
2025-12-04T10:35:59.6984899Z [ RUN      ] TorchScriptTest.TestOptionalArgMatching
2025-12-04T10:35:59.7030502Z [       OK ] TorchScriptTest.TestOptionalArgMatching (4 ms)
2025-12-04T10:35:59.7031168Z [ RUN      ] TorchScriptTest.TestPickle
2025-12-04T10:35:59.7031542Z [       OK ] TorchScriptTest.TestPickle (0 ms)
2025-12-04T10:35:59.7031942Z [----------] 6 tests from TorchScriptTest (348 ms total)
2025-12-04T10:35:59.7032199Z 
2025-12-04T10:35:59.7032326Z [----------] 3 tests from MakeUniqueTest
2025-12-04T10:35:59.7032707Z [ RUN      ] MakeUniqueTest.ForwardRvaluesCorrectly
2025-12-04T10:35:59.7033142Z [       OK ] MakeUniqueTest.ForwardRvaluesCorrectly (0 ms)
2025-12-04T10:35:59.7033650Z [ RUN      ] MakeUniqueTest.ForwardLvaluesCorrectly
2025-12-04T10:35:59.7034065Z [       OK ] MakeUniqueTest.ForwardLvaluesCorrectly (0 ms)
2025-12-04T10:35:59.7034516Z [ RUN      ] MakeUniqueTest.CanConstructUniquePtrOfArray
2025-12-04T10:35:59.7034983Z [       OK ] MakeUniqueTest.CanConstructUniquePtrOfArray (0 ms)
2025-12-04T10:35:59.7035413Z [----------] 3 tests from MakeUniqueTest (0 ms total)
2025-12-04T10:35:59.7035678Z 
2025-12-04T10:35:59.7035793Z [----------] 2 tests from MetaTensorTest
2025-12-04T10:35:59.7036142Z [ RUN      ] MetaTensorTest.MetaDeviceApi
2025-12-04T10:35:59.7036518Z [       OK ] MetaTensorTest.MetaDeviceApi (0 ms)
2025-12-04T10:35:59.7036887Z [ RUN      ] MetaTensorTest.MetaNamespaceApi
2025-12-04T10:35:59.7037273Z [       OK ] MetaTensorTest.MetaNamespaceApi (0 ms)
2025-12-04T10:35:59.7037678Z [----------] 2 tests from MetaTensorTest (0 ms total)
2025-12-04T10:35:59.7037923Z 
2025-12-04T10:35:59.7038025Z [----------] 2 tests from UtilsTest
2025-12-04T10:35:59.7038339Z [ RUN      ] UtilsTest.WarnOnce
2025-12-04T10:35:59.7038649Z [       OK ] UtilsTest.WarnOnce (0 ms)
2025-12-04T10:35:59.7038997Z [ RUN      ] UtilsTest.AmbiguousOperatorDefaults
2025-12-04T10:35:59.7039416Z [       OK ] UtilsTest.AmbiguousOperatorDefaults (0 ms)
2025-12-04T10:35:59.7039818Z [----------] 2 tests from UtilsTest (0 ms total)
2025-12-04T10:35:59.7040054Z 
2025-12-04T10:35:59.7040175Z [----------] 1 test from NoGradTest
2025-12-04T10:35:59.7040498Z [ RUN      ] NoGradTest.SetsGradModeCorrectly
2025-12-04T10:35:59.7040907Z [       OK ] NoGradTest.SetsGradModeCorrectly (0 ms)
2025-12-04T10:35:59.7041303Z [----------] 1 test from NoGradTest (0 ms total)
2025-12-04T10:35:59.7041533Z 
2025-12-04T10:35:59.7041642Z [----------] 3 tests from AutogradTest
2025-12-04T10:35:59.7041994Z [ RUN      ] AutogradTest.CanTakeDerivatives
2025-12-04T10:35:59.7048725Z [       OK ] AutogradTest.CanTakeDerivatives (0 ms)
2025-12-04T10:35:59.7049181Z [ RUN      ] AutogradTest.CanTakeDerivativesOfZeroDimTensors
2025-12-04T10:35:59.7055966Z [       OK ] AutogradTest.CanTakeDerivativesOfZeroDimTensors (0 ms)
2025-12-04T10:35:59.7056457Z [ RUN      ] AutogradTest.CanPassCustomGradientInputs
2025-12-04T10:35:59.7063664Z [       OK ] AutogradTest.CanPassCustomGradientInputs (0 ms)
2025-12-04T10:35:59.7064096Z [----------] 3 tests from AutogradTest (2 ms total)
2025-12-04T10:35:59.7064368Z 
2025-12-04T10:35:59.7064492Z [----------] 1 test from OptionalArrayRefTest
2025-12-04T10:35:59.7064885Z [ RUN      ] OptionalArrayRefTest.DanglingPointerFix
2025-12-04T10:35:59.7065426Z [       OK ] OptionalArrayRefTest.DanglingPointerFix (0 ms)
2025-12-04T10:35:59.7065851Z [----------] 1 test from OptionalArrayRefTest (0 ms total)
2025-12-04T10:35:59.7066129Z 
2025-12-04T10:35:59.7066232Z [----------] 52 tests from ModuleTest
2025-12-04T10:35:59.7066692Z [ RUN      ] ModuleTest.CanEnableAndDisableTrainingMode
2025-12-04T10:35:59.7067215Z [       OK ] ModuleTest.CanEnableAndDisableTrainingMode (0 ms)
2025-12-04T10:35:59.7067607Z [ RUN      ] ModuleTest.ZeroGrad
2025-12-04T10:35:59.7075518Z [       OK ] ModuleTest.ZeroGrad (1 ms)
2025-12-04T10:35:59.7075896Z [ RUN      ] ModuleTest.ZeroGradWithUndefined
2025-12-04T10:35:59.7081034Z [       OK ] ModuleTest.ZeroGradWithUndefined (0 ms)
2025-12-04T10:35:59.7081499Z [ RUN      ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName
2025-12-04T10:35:59.7083544Z [       OK ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName (0 ms)
2025-12-04T10:35:59.7084176Z [ RUN      ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName
2025-12-04T10:35:59.7085482Z [       OK ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName (0 ms)
2025-12-04T10:35:59.7086037Z [ RUN      ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName
2025-12-04T10:35:59.7087105Z [       OK ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName (0 ms)
2025-12-04T10:35:59.7087576Z [ RUN      ] ModuleTest.ReplaceModule
2025-12-04T10:35:59.7089331Z [       OK ] ModuleTest.ReplaceModule (0 ms)
2025-12-04T10:35:59.7089690Z [ RUN      ] ModuleTest.UnregisterModule
2025-12-04T10:35:59.7101256Z [       OK ] ModuleTest.UnregisterModule (1 ms)
2025-12-04T10:35:59.7101740Z [ RUN      ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName
2025-12-04T10:35:59.7102539Z [       OK ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName (0 ms)
2025-12-04T10:35:59.7103131Z [ RUN      ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName
2025-12-04T10:35:59.7103849Z [       OK ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName (0 ms)
2025-12-04T10:35:59.7104381Z [ RUN      ] ModuleTest.RegisterParameterUndefinedTensor
2025-12-04T10:35:59.7104854Z [       OK ] ModuleTest.RegisterParameterUndefinedTensor (0 ms)
2025-12-04T10:35:59.7105363Z [ RUN      ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName
2025-12-04T10:35:59.7106164Z [       OK ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName (0 ms)
2025-12-04T10:35:59.7106755Z [ RUN      ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName
2025-12-04T10:35:59.7107339Z [       OK ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName (0 ms)
2025-12-04T10:35:59.7107819Z [ RUN      ] ModuleTest.CanGetName
2025-12-04T10:35:59.7108153Z [       OK ] ModuleTest.CanGetName (0 ms)
2025-12-04T10:35:59.7108508Z [ RUN      ] ModuleTest.AsCastsModulesCorrectly
2025-12-04T10:35:59.7109153Z [       OK ] ModuleTest.AsCastsModulesCorrectly (0 ms)
2025-12-04T10:35:59.7109634Z [ RUN      ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor
2025-12-04T10:35:59.7112961Z [       OK ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor (0 ms)
2025-12-04T10:35:59.7113582Z [ RUN      ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor
2025-12-04T10:35:59.7116101Z [       OK ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor (0 ms)
2025-12-04T10:35:59.7116758Z [ RUN      ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows
2025-12-04T10:35:59.7117401Z [       OK ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows (0 ms)
2025-12-04T10:35:59.7118084Z [ RUN      ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow
2025-12-04T10:35:59.7118775Z [       OK ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow (0 ms)
2025-12-04T10:35:59.7119363Z [ RUN      ] ModuleTest.CloneCreatesDistinctParameters
2025-12-04T10:35:59.7156035Z [       OK ] ModuleTest.CloneCreatesDistinctParameters (3 ms)
2025-12-04T10:35:59.7156516Z [ RUN      ] ModuleTest.ClonePreservesExternalReferences
2025-12-04T10:35:59.7167643Z [       OK ] ModuleTest.ClonePreservesExternalReferences (1 ms)
2025-12-04T10:35:59.7168250Z [ RUN      ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules
2025-12-04T10:35:59.7175949Z [       OK ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules (0 ms)
2025-12-04T10:35:59.7176473Z [ RUN      ] ModuleTest.HasCorrectNumberOfParameters
2025-12-04T10:35:59.7177811Z [       OK ] ModuleTest.HasCorrectNumberOfParameters (0 ms)
2025-12-04T10:35:59.7178278Z [ RUN      ] ModuleTest.ContainsParametersWithTheCorrectName
2025-12-04T10:35:59.7178936Z [       OK ] ModuleTest.ContainsParametersWithTheCorrectName (0 ms)
2025-12-04T10:35:59.7179407Z [ RUN      ] ModuleTest.HasCorrectNumberOfBuffers
2025-12-04T10:35:59.7180735Z [       OK ] ModuleTest.HasCorrectNumberOfBuffers (0 ms)
2025-12-04T10:35:59.7181162Z [ RUN      ] ModuleTest.ContainsBuffersWithTheCorrectName
2025-12-04T10:35:59.7181770Z [       OK ] ModuleTest.ContainsBuffersWithTheCorrectName (0 ms)
2025-12-04T10:35:59.7182463Z [ RUN      ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl
2025-12-04T10:35:59.7183255Z [       OK ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl (0 ms)
2025-12-04T10:35:59.7184011Z [ RUN      ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl
2025-12-04T10:35:59.7184770Z [       OK ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl (0 ms)
2025-12-04T10:35:59.7185488Z [ RUN      ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState
2025-12-04T10:35:59.7186196Z [       OK ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState (0 ms)
2025-12-04T10:35:59.7186885Z [ RUN      ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel
2025-12-04T10:35:59.7187465Z [       OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel (0 ms)
2025-12-04T10:35:59.7188046Z [ RUN      ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse
2025-12-04T10:35:59.7188627Z [       OK ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms)
2025-12-04T10:35:59.7189249Z [ RUN      ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel
2025-12-04T10:35:59.7189954Z [       OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel (0 ms)
2025-12-04T10:35:59.7190626Z [ RUN      ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse
2025-12-04T10:35:59.7191377Z [       OK ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms)
2025-12-04T10:35:59.7191985Z [ RUN      ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel
2025-12-04T10:35:59.7193169Z [       OK ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel (0 ms)
2025-12-04T10:35:59.7193820Z [ RUN      ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel
2025-12-04T10:35:59.7194932Z [       OK ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel (0 ms)
2025-12-04T10:35:59.7195590Z [ RUN      ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel
2025-12-04T10:35:59.7196175Z [       OK ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel (0 ms)
2025-12-04T10:35:59.7196791Z [ RUN      ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel
2025-12-04T10:35:59.7197422Z [       OK ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel (0 ms)
2025-12-04T10:35:59.7198030Z [ RUN      ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel
2025-12-04T10:35:59.7198585Z [       OK ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel (0 ms)
2025-12-04T10:35:59.7199163Z [ RUN      ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel
2025-12-04T10:35:59.7199758Z [       OK ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel (0 ms)
2025-12-04T10:35:59.7200357Z [ RUN      ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel
2025-12-04T10:35:59.7200945Z [       OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel (0 ms)
2025-12-04T10:35:59.7201587Z [ RUN      ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel
2025-12-04T10:35:59.7202275Z [       OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel (0 ms)
2025-12-04T10:35:59.7202982Z [ RUN      ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel
2025-12-04T10:35:59.7203588Z [       OK ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel (0 ms)
2025-12-04T10:35:59.7204238Z [ RUN      ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel
2025-12-04T10:35:59.7205000Z [       OK ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel (0 ms)
2025-12-04T10:35:59.7205590Z [ RUN      ] ModuleTest.ModuleApplyIteratesCorreclty
2025-12-04T10:35:59.7206027Z [       OK ] ModuleTest.ModuleApplyIteratesCorreclty (0 ms)
2025-12-04T10:35:59.7206463Z [ RUN      ] ModuleTest.ConstModuleApplyIteratesCorreclty
2025-12-04T10:35:59.7206932Z [       OK ] ModuleTest.ConstModuleApplyIteratesCorreclty (0 ms)
2025-12-04T10:35:59.7207409Z [ RUN      ] ModuleTest.NamedModuleApplyIteratesCorreclty
2025-12-04T10:35:59.7207878Z [       OK ] ModuleTest.NamedModuleApplyIteratesCorreclty (0 ms)
2025-12-04T10:35:59.7208387Z [ RUN      ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty
2025-12-04T10:35:59.7208910Z [       OK ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty (0 ms)
2025-12-04T10:35:59.7209419Z [ RUN      ] ModuleTest.ModulePointerApplyIteratesCorreclty
2025-12-04T10:35:59.7209917Z [       OK ] ModuleTest.ModulePointerApplyIteratesCorreclty (0 ms)
2025-12-04T10:35:59.7210414Z [ RUN      ] ModuleTest.NamedModulePointerApplyIteratesCorreclty
2025-12-04T10:35:59.7210956Z [       OK ] ModuleTest.NamedModulePointerApplyIteratesCorreclty (0 ms)
2025-12-04T10:35:59.7211580Z [ RUN      ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr
2025-12-04T10:35:59.7213726Z [       OK ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr (0 ms)
2025-12-04T10:35:59.7214252Z [ RUN      ] ModuleTest.PrettyPrint
2025-12-04T10:35:59.7214597Z [       OK ] ModuleTest.PrettyPrint (0 ms)
2025-12-04T10:35:59.7215040Z [ RUN      ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl
2025-12-04T10:35:59.7215614Z [       OK ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl (0 ms)
2025-12-04T10:35:59.7216118Z [----------] 52 tests from ModuleTest (15 ms total)
2025-12-04T10:35:59.7216357Z 
2025-12-04T10:35:59.7216481Z [----------] 12 tests from ModuleDictTest
2025-12-04T10:35:59.7216823Z [ RUN      ] ModuleDictTest.ConstructsFromList
2025-12-04T10:35:59.7217224Z [       OK ] ModuleDictTest.ConstructsFromList (0 ms)
2025-12-04T10:35:59.7217634Z [ RUN      ] ModuleDictTest.ConstructsFromordereddict
2025-12-04T10:35:59.7218074Z [       OK ] ModuleDictTest.ConstructsFromordereddict (0 ms)
2025-12-04T10:35:59.7218498Z [ RUN      ] ModuleDictTest.UpdatePopClearContains
2025-12-04T10:35:59.7218922Z [       OK ] ModuleDictTest.UpdatePopClearContains (0 ms)
2025-12-04T10:35:59.7219316Z [ RUN      ] ModuleDictTest.UpdateExist
2025-12-04T10:35:59.7219659Z [       OK ] ModuleDictTest.UpdateExist (0 ms)
2025-12-04T10:35:59.7220007Z [ RUN      ] ModuleDictTest.Keys
2025-12-04T10:35:59.7222338Z [       OK ] ModuleDictTest.Keys (0 ms)
2025-12-04T10:35:59.7222672Z [ RUN      ] ModuleDictTest.Values
2025-12-04T10:35:59.7222982Z [       OK ] ModuleDictTest.Values (0 ms)
2025-12-04T10:35:59.7223405Z [ RUN      ] ModuleDictTest.SanityCheckForHoldingStandardModules
2025-12-04T10:35:59.7284401Z [       OK ] ModuleDictTest.SanityCheckForHoldingStandardModules (6 ms)
2025-12-04T10:35:59.7284882Z [ RUN      ] ModuleDictTest.HasReferenceSemantics
2025-12-04T10:35:59.7286426Z [       OK ] ModuleDictTest.HasReferenceSemantics (0 ms)
2025-12-04T10:35:59.7286823Z [ RUN      ] ModuleDictTest.IsCloneable
2025-12-04T10:35:59.7309679Z [       OK ] ModuleDictTest.IsCloneable (2 ms)
2025-12-04T10:35:59.7310098Z [ RUN      ] ModuleDictTest.RegistersElementsAsSubmodules
2025-12-04T10:35:59.7318216Z [       OK ] ModuleDictTest.RegistersElementsAsSubmodules (0 ms)
2025-12-04T10:35:59.7318675Z [ RUN      ] ModuleDictTest.PrettyPrintModuleDict
2025-12-04T10:35:59.7327801Z [       OK ] ModuleDictTest.PrettyPrintModuleDict (0 ms)
2025-12-04T10:35:59.7328326Z [ RUN      ] ModuleDictTest.InvalidAt
2025-12-04T10:35:59.7329219Z [       OK ] ModuleDictTest.InvalidAt (0 ms)
2025-12-04T10:35:59.7329587Z [----------] 12 tests from ModuleDictTest (11 ms total)
2025-12-04T10:35:59.7329856Z 
2025-12-04T10:35:59.7329968Z [----------] 16 tests from ModuleListTest
2025-12-04T10:35:59.7330400Z [ RUN      ] ModuleListTest.ConstructsFromSharedPointer
2025-12-04T10:35:59.7330866Z [       OK ] ModuleListTest.ConstructsFromSharedPointer (0 ms)
2025-12-04T10:35:59.7331310Z [ RUN      ] ModuleListTest.ConstructsFromConcreteType
2025-12-04T10:35:59.7331764Z [       OK ] ModuleListTest.ConstructsFromConcreteType (0 ms)
2025-12-04T10:35:59.7332217Z [ RUN      ] ModuleListTest.ConstructsFromModuleHolder
2025-12-04T10:35:59.7332646Z [       OK ] ModuleListTest.ConstructsFromModuleHolder (0 ms)
2025-12-04T10:35:59.7333087Z [ RUN      ] ModuleListTest.PushBackAddsAnElement
2025-12-04T10:35:59.7333513Z [       OK ] ModuleListTest.PushBackAddsAnElement (0 ms)
2025-12-04T10:35:59.7333922Z [ RUN      ] ModuleListTest.Insertion
2025-12-04T10:35:59.7334260Z [       OK ] ModuleListTest.Insertion (0 ms)
2025-12-04T10:35:59.7334612Z [ RUN      ] ModuleListTest.AccessWithAt
2025-12-04T10:35:59.7334979Z [       OK ] ModuleListTest.AccessWithAt (0 ms)
2025-12-04T10:35:59.7335332Z [ RUN      ] ModuleListTest.AccessWithPtr
2025-12-04T10:35:59.7335706Z [       OK ] ModuleListTest.AccessWithPtr (0 ms)
2025-12-04T10:35:59.7336156Z [ RUN      ] ModuleListTest.SanityCheckForHoldingStandardModules
2025-12-04T10:35:59.7344275Z [       OK ] ModuleListTest.SanityCheckForHoldingStandardModules (0 ms)
2025-12-04T10:35:59.7344839Z [ RUN      ] ModuleListTest.ExtendPushesModulesFromOtherModuleList
2025-12-04T10:35:59.7345412Z [       OK ] ModuleListTest.ExtendPushesModulesFromOtherModuleList (0 ms)
2025-12-04T10:35:59.7345918Z [ RUN      ] ModuleListTest.HasReferenceSemantics
2025-12-04T10:35:59.7346732Z [       OK ] ModuleListTest.HasReferenceSemantics (0 ms)
2025-12-04T10:35:59.7347128Z [ RUN      ] ModuleListTest.IsCloneable
2025-12-04T10:35:59.7368092Z [       OK ] ModuleListTest.IsCloneable (2 ms)
2025-12-04T10:35:59.7368519Z [ RUN      ] ModuleListTest.RegistersElementsAsSubmodules
2025-12-04T10:35:59.7371476Z [       OK ] ModuleListTest.RegistersElementsAsSubmodules (0 ms)
2025-12-04T10:35:59.7371914Z [ RUN      ] ModuleListTest.NestingIsPossible
2025-12-04T10:35:59.7372310Z [       OK ] ModuleListTest.NestingIsPossible (0 ms)
2025-12-04T10:35:59.7372698Z [ RUN      ] ModuleListTest.PrettyPrintModuleList
2025-12-04T10:35:59.7380711Z [       OK ] ModuleListTest.PrettyPrintModuleList (0 ms)
2025-12-04T10:35:59.7381129Z [ RUN      ] ModuleListTest.RangeBasedForLoop
2025-12-04T10:35:59.7382553Z [       OK ] ModuleListTest.RangeBasedForLoop (0 ms)
2025-12-04T10:35:59.7382913Z [ RUN      ] ModuleListTest.InvalidAt
2025-12-04T10:35:59.7383769Z [       OK ] ModuleListTest.InvalidAt (0 ms)
2025-12-04T10:35:59.7384145Z [----------] 16 tests from ModuleListTest (5 ms total)
2025-12-04T10:35:59.7384393Z 
2025-12-04T10:35:59.7384584Z [----------] 260 tests from ModulesTest
2025-12-04T10:35:59.7384905Z [ RUN      ] ModulesTest.Conv1d
2025-12-04T10:35:59.7468828Z [       OK ] ModulesTest.Conv1d (8 ms)
2025-12-04T10:35:59.7469190Z [ RUN      ] ModulesTest.Conv1dSameStrided
2025-12-04T10:35:59.7478428Z [       OK ] ModulesTest.Conv1dSameStrided (0 ms)
2025-12-04T10:35:59.7478824Z [ RUN      ] ModulesTest.Conv1dIvalidArg
2025-12-04T10:35:59.7479329Z [       OK ] ModulesTest.Conv1dIvalidArg (0 ms)
2025-12-04T10:35:59.7479680Z [ RUN      ] ModulesTest.Conv2dEven
2025-12-04T10:35:59.7498847Z [       OK ] ModulesTest.Conv2dEven (1 ms)
2025-12-04T10:35:59.7499210Z [ RUN      ] ModulesTest.Conv2dUneven
2025-12-04T10:35:59.7516272Z [       OK ] ModulesTest.Conv2dUneven (1 ms)
2025-12-04T10:35:59.7516654Z [ RUN      ] ModulesTest.Conv2dSameStrided
2025-12-04T10:35:59.7520507Z [       OK ] ModulesTest.Conv2dSameStrided (0 ms)
2025-12-04T10:35:59.7520870Z [ RUN      ] ModulesTest.Conv3d
2025-12-04T10:35:59.7547205Z [       OK ] ModulesTest.Conv3d (2 ms)
2025-12-04T10:35:59.7547682Z [ RUN      ] ModulesTest.Conv3dSameStrided
2025-12-04T10:35:59.7551788Z [       OK ] ModulesTest.Conv3dSameStrided (0 ms)
2025-12-04T10:35:59.7552159Z [ RUN      ] ModulesTest.ConvTranspose1d
2025-12-04T10:35:59.7607516Z [       OK ] ModulesTest.ConvTranspose1d (5 ms)
2025-12-04T10:35:59.7607981Z [ RUN      ] ModulesTest.ConvTranspose2dEven
2025-12-04T10:35:59.7636704Z [       OK ] ModulesTest.ConvTranspose2dEven (2 ms)
2025-12-04T10:35:59.7637105Z [ RUN      ] ModulesTest.ConvTranspose2dUneven
2025-12-04T10:35:59.7661002Z [       OK ] ModulesTest.ConvTranspose2dUneven (2 ms)
2025-12-04T10:35:59.7661395Z [ RUN      ] ModulesTest.ConvTranspose3d
2025-12-04T10:35:59.7682288Z [       OK ] ModulesTest.ConvTranspose3d (2 ms)
2025-12-04T10:35:59.7682645Z [ RUN      ] ModulesTest.MaxPool1d
2025-12-04T10:35:59.7692940Z [       OK ] ModulesTest.MaxPool1d (1 ms)
2025-12-04T10:35:59.7693333Z [ RUN      ] ModulesTest.MaxPool1dReturnIndices
2025-12-04T10:35:59.7702653Z [       OK ] ModulesTest.MaxPool1dReturnIndices (0 ms)
2025-12-04T10:35:59.7703032Z [ RUN      ] ModulesTest.MaxPool2dEven
2025-12-04T10:35:59.7710520Z [       OK ] ModulesTest.MaxPool2dEven (0 ms)
2025-12-04T10:35:59.7710893Z [ RUN      ] ModulesTest.MaxPool2dUneven
2025-12-04T10:35:59.7717937Z [       OK ] ModulesTest.MaxPool2dUneven (0 ms)
2025-12-04T10:35:59.7718358Z [ RUN      ] ModulesTest.MaxPool2dReturnIndices
2025-12-04T10:35:59.7727757Z [       OK ] ModulesTest.MaxPool2dReturnIndices (0 ms)
2025-12-04T10:35:59.7728168Z [ RUN      ] ModulesTest.MaxPool3d
2025-12-04T10:35:59.7737019Z [       OK ] ModulesTest.MaxPool3d (0 ms)
2025-12-04T10:35:59.7737400Z [ RUN      ] ModulesTest.MaxPool3dReturnIndices
2025-12-04T10:35:59.7749167Z [       OK ] ModulesTest.MaxPool3dReturnIndices (1 ms)
2025-12-04T10:35:59.7749559Z [ RUN      ] ModulesTest.AvgPool1d
2025-12-04T10:35:59.7759061Z [       OK ] ModulesTest.AvgPool1d (0 ms)
2025-12-04T10:35:59.7759428Z [ RUN      ] ModulesTest.AvgPool2dEven
2025-12-04T10:35:59.7766453Z [       OK ] ModulesTest.AvgPool2dEven (0 ms)
2025-12-04T10:35:59.7766815Z [ RUN      ] ModulesTest.AvgPool2dUneven
2025-12-04T10:35:59.7773545Z [       OK ] ModulesTest.AvgPool2dUneven (0 ms)
2025-12-04T10:35:59.7773908Z [ RUN      ] ModulesTest.AvgPool3d
2025-12-04T10:35:59.7782001Z [       OK ] ModulesTest.AvgPool3d (0 ms)
2025-12-04T10:35:59.7782393Z [ RUN      ] ModulesTest.FractionalMaxPool2d
2025-12-04T10:35:59.7797902Z [       OK ] ModulesTest.FractionalMaxPool2d (1 ms)
2025-12-04T10:35:59.7798363Z [ RUN      ] ModulesTest.FractionalMaxPool2dReturnIndices
2025-12-04T10:35:59.7807909Z [       OK ] ModulesTest.FractionalMaxPool2dReturnIndices (0 ms)
2025-12-04T10:35:59.7808374Z [ RUN      ] ModulesTest.FractionalMaxPool3d
2025-12-04T10:35:59.7817122Z [       OK ] ModulesTest.FractionalMaxPool3d (0 ms)
2025-12-04T10:35:59.7817592Z [ RUN      ] ModulesTest.FractionalMaxPool3dReturnIndices
2025-12-04T10:35:59.7829143Z [       OK ] ModulesTest.FractionalMaxPool3dReturnIndices (1 ms)
2025-12-04T10:35:59.7829592Z [ RUN      ] ModulesTest.LPPool1d
2025-12-04T10:35:59.7837507Z [       OK ] ModulesTest.LPPool1d (0 ms)
2025-12-04T10:35:59.7837881Z [ RUN      ] ModulesTest.LPPool2d
2025-12-04T10:35:59.7845416Z [       OK ] ModulesTest.LPPool2d (0 ms)
2025-12-04T10:35:59.7845783Z [ RUN      ] ModulesTest.LPPool3d
2025-12-04T10:35:59.7853768Z [       OK ] ModulesTest.LPPool3d (0 ms)
2025-12-04T10:35:59.7854115Z [ RUN      ] ModulesTest.Identity
2025-12-04T10:35:59.7859135Z [       OK ] ModulesTest.Identity (0 ms)
2025-12-04T10:35:59.7859470Z [ RUN      ] ModulesTest.Flatten
2025-12-04T10:35:59.7873460Z [       OK ] ModulesTest.Flatten (1 ms)
2025-12-04T10:35:59.7873802Z [ RUN      ] ModulesTest.Unflatten
2025-12-04T10:35:59.7877892Z [W1204 10:35:59.462971361 TensorImpl.h:1976] Warning: 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. (function operator())
2025-12-04T10:35:59.7879541Z [       OK ] ModulesTest.Unflatten (0 ms)
2025-12-04T10:35:59.7880021Z [ RUN      ] ModulesTest.AdaptiveMaxPool1d
2025-12-04T10:35:59.7890985Z [       OK ] ModulesTest.AdaptiveMaxPool1d (1 ms)
2025-12-04T10:35:59.7891439Z [ RUN      ] ModulesTest.AdaptiveMaxPool1dReturnIndices
2025-12-04T10:35:59.7901668Z [       OK ] ModulesTest.AdaptiveMaxPool1dReturnIndices (1 ms)
2025-12-04T10:35:59.7902184Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dEven
2025-12-04T10:35:59.7917530Z [       OK ] ModulesTest.AdaptiveMaxPool2dEven (1 ms)
2025-12-04T10:35:59.7917986Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dUneven
2025-12-04T10:35:59.7926986Z [       OK ] ModulesTest.AdaptiveMaxPool2dUneven (0 ms)
2025-12-04T10:35:59.7927445Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven
2025-12-04T10:35:59.7943014Z [       OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven (1 ms)
2025-12-04T10:35:59.7943522Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven
2025-12-04T10:35:59.7958480Z [       OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven (1 ms)
2025-12-04T10:35:59.7958932Z [ RUN      ] ModulesTest.AdaptiveMaxPool3d
2025-12-04T10:35:59.7970852Z [       OK ] ModulesTest.AdaptiveMaxPool3d (1 ms)
2025-12-04T10:35:59.7971282Z [ RUN      ] ModulesTest.AdaptiveMaxPool3dReturnIndices
2025-12-04T10:35:59.7997652Z [       OK ] ModulesTest.AdaptiveMaxPool3dReturnIndices (2 ms)
2025-12-04T10:35:59.7998076Z [ RUN      ] ModulesTest.AdaptiveAvgPool1d
2025-12-04T10:35:59.8008147Z [       OK ] ModulesTest.AdaptiveAvgPool1d (1 ms)
2025-12-04T10:35:59.8008616Z [ RUN      ] ModulesTest.AdaptiveAvgPool2dEven
2025-12-04T10:35:59.8017999Z [       OK ] ModulesTest.AdaptiveAvgPool2dEven (0 ms)
2025-12-04T10:35:59.8018439Z [ RUN      ] ModulesTest.AdaptiveAvgPool2dUneven
2025-12-04T10:35:59.8026983Z [       OK ] ModulesTest.AdaptiveAvgPool2dUneven (0 ms)
2025-12-04T10:35:59.8027393Z [ RUN      ] ModulesTest.AdaptiveAvgPool3d
2025-12-04T10:35:59.8039097Z [       OK ] ModulesTest.AdaptiveAvgPool3d (1 ms)
2025-12-04T10:35:59.8039491Z [ RUN      ] ModulesTest.MaxUnpool1d
2025-12-04T10:35:59.8053709Z [       OK ] ModulesTest.MaxUnpool1d (1 ms)
2025-12-04T10:35:59.8054067Z [ RUN      ] ModulesTest.MaxPool1d_MaxUnpool1d
2025-12-04T10:35:59.8072599Z [       OK ] ModulesTest.MaxPool1d_MaxUnpool1d (1 ms)
2025-12-04T10:35:59.8072980Z [ RUN      ] ModulesTest.MaxUnpool2d
2025-12-04T10:35:59.8087492Z [       OK ] ModulesTest.MaxUnpool2d (1 ms)
2025-12-04T10:35:59.8087878Z [ RUN      ] ModulesTest.MaxPool2d_MaxUnpool2d
2025-12-04T10:35:59.8102339Z [       OK ] ModulesTest.MaxPool2d_MaxUnpool2d (1 ms)
2025-12-04T10:35:59.8102733Z [ RUN      ] ModulesTest.MaxUnpool3d
2025-12-04T10:35:59.8111578Z [       OK ] ModulesTest.MaxUnpool3d (0 ms)
2025-12-04T10:35:59.8111961Z [ RUN      ] ModulesTest.MaxUnpool3dOutputSize
2025-12-04T10:35:59.8125991Z [       OK ] ModulesTest.MaxUnpool3dOutputSize (1 ms)
2025-12-04T10:35:59.8126398Z [ RUN      ] ModulesTest.MaxPool3d_MaxUnpool3d
2025-12-04T10:36:00.1534364Z [       OK ] ModulesTest.MaxPool3d_MaxUnpool3d (340 ms)
2025-12-04T10:36:00.1534801Z [ RUN      ] ModulesTest.Linear
2025-12-04T10:36:00.1564259Z [       OK ] ModulesTest.Linear (3 ms)
2025-12-04T10:36:00.1564642Z [ RUN      ] ModulesTest.LocalResponseNorm
2025-12-04T10:36:00.1596412Z [       OK ] ModulesTest.LocalResponseNorm (3 ms)
2025-12-04T10:36:00.1596792Z [ RUN      ] ModulesTest.LayerNorm
2025-12-04T10:36:00.1609122Z [       OK ] ModulesTest.LayerNorm (1 ms)
2025-12-04T10:36:00.1609475Z [ RUN      ] ModulesTest.GroupNorm
2025-12-04T10:36:00.1622839Z [       OK ] ModulesTest.GroupNorm (1 ms)
2025-12-04T10:36:00.1623222Z [ RUN      ] ModulesTest.Bilinear
2025-12-04T10:36:00.1649715Z [       OK ] ModulesTest.Bilinear (2 ms)
2025-12-04T10:36:00.1650039Z [ RUN      ] ModulesTest.Fold
2025-12-04T10:36:00.1664150Z [       OK ] ModulesTest.Fold (1 ms)
2025-12-04T10:36:00.1664496Z [ RUN      ] ModulesTest.Unfold
2025-12-04T10:36:00.1682808Z [       OK ] ModulesTest.Unfold (1 ms)
2025-12-04T10:36:00.1683196Z [ RUN      ] ModulesTest.SimpleContainer
2025-12-04T10:36:00.1741431Z [       OK ] ModulesTest.SimpleContainer (5 ms)
2025-12-04T10:36:00.1741831Z [ RUN      ] ModulesTest.EmbeddingBasic
2025-12-04T10:36:00.1748480Z [       OK ] ModulesTest.EmbeddingBasic (0 ms)
2025-12-04T10:36:00.1748842Z [ RUN      ] ModulesTest.EmbeddingList
2025-12-04T10:36:00.1753412Z [       OK ] ModulesTest.EmbeddingList (0 ms)
2025-12-04T10:36:00.1753863Z [ RUN      ] ModulesTest.EmbeddingFromPretrained
2025-12-04T10:36:00.1760246Z [       OK ] ModulesTest.EmbeddingFromPretrained (0 ms)
2025-12-04T10:36:00.1760673Z [ RUN      ] ModulesTest.EmbeddingBagFromPretrained
2025-12-04T10:36:00.1771126Z [       OK ] ModulesTest.EmbeddingBagFromPretrained (1 ms)
2025-12-04T10:36:00.1771549Z [ RUN      ] ModulesTest.AlphaDropout
2025-12-04T10:36:00.1778552Z [       OK ] ModulesTest.AlphaDropout (0 ms)
2025-12-04T10:36:00.1778939Z [ RUN      ] ModulesTest.FeatureAlphaDropout
2025-12-04T10:36:00.1785661Z [       OK ] ModulesTest.FeatureAlphaDropout (0 ms)
2025-12-04T10:36:00.1786027Z [ RUN      ] ModulesTest.Dropout
2025-12-04T10:36:00.1795640Z [       OK ] ModulesTest.Dropout (0 ms)
2025-12-04T10:36:00.1795994Z [ RUN      ] ModulesTest.Dropout2d
2025-12-04T10:36:00.1826218Z [       OK ] ModulesTest.Dropout2d (3 ms)
2025-12-04T10:36:00.1826611Z [ RUN      ] ModulesTest.Dropout3d
2025-12-04T10:36:00.1869506Z [       OK ] ModulesTest.Dropout3d (4 ms)
2025-12-04T10:36:00.1869891Z [ RUN      ] ModulesTest.Parameters
2025-12-04T10:36:00.1872866Z [       OK ] ModulesTest.Parameters (0 ms)
2025-12-04T10:36:00.1873253Z [ RUN      ] ModulesTest.FunctionalCallsSuppliedFunction
2025-12-04T10:36:00.1874062Z [       OK ] ModulesTest.FunctionalCallsSuppliedFunction (0 ms)
2025-12-04T10:36:00.1874529Z [ RUN      ] ModulesTest.FunctionalWithTorchFunction
2025-12-04T10:36:00.1875413Z [       OK ] ModulesTest.FunctionalWithTorchFunction (0 ms)
2025-12-04T10:36:00.1875847Z [ RUN      ] ModulesTest.FunctionalArgumentBinding
2025-12-04T10:36:00.1876279Z [       OK ] ModulesTest.FunctionalArgumentBinding (0 ms)
2025-12-04T10:36:00.1876697Z [ RUN      ] ModulesTest.BatchNorm1dStateful
2025-12-04T10:36:00.1877504Z [       OK ] ModulesTest.BatchNorm1dStateful (0 ms)
2025-12-04T10:36:00.1877893Z [ RUN      ] ModulesTest.BatchNorm1dStateless
2025-12-04T10:36:00.1878290Z [       OK ] ModulesTest.BatchNorm1dStateless (0 ms)
2025-12-04T10:36:00.1878648Z [ RUN      ] ModulesTest.BatchNorm1d
2025-12-04T10:36:00.1894790Z [       OK ] ModulesTest.BatchNorm1d (1 ms)
2025-12-04T10:36:00.1895183Z [ RUN      ] ModulesTest.BatchNorm2dStateful
2025-12-04T10:36:00.1895928Z [       OK ] ModulesTest.BatchNorm2dStateful (0 ms)
2025-12-04T10:36:00.1896303Z [ RUN      ] ModulesTest.BatchNorm2dStateless
2025-12-04T10:36:00.1896693Z [       OK ] ModulesTest.BatchNorm2dStateless (0 ms)
2025-12-04T10:36:00.1897067Z [ RUN      ] ModulesTest.BatchNorm2d
2025-12-04T10:36:00.1915707Z [       OK ] ModulesTest.BatchNorm2d (1 ms)
2025-12-04T10:36:00.1916101Z [ RUN      ] ModulesTest.BatchNorm3dStateful
2025-12-04T10:36:00.1917424Z [       OK ] ModulesTest.BatchNorm3dStateful (0 ms)
2025-12-04T10:36:00.1917823Z [ RUN      ] ModulesTest.BatchNorm3dStateless
2025-12-04T10:36:00.1918196Z [       OK ] ModulesTest.BatchNorm3dStateless (0 ms)
2025-12-04T10:36:00.1918563Z [ RUN      ] ModulesTest.BatchNorm3d
2025-12-04T10:36:00.1945195Z [       OK ] ModulesTest.BatchNorm3d (2 ms)
2025-12-04T10:36:00.1945583Z [ RUN      ] ModulesTest.InstanceNorm1dStateful
2025-12-04T10:36:00.1948036Z [       OK ] ModulesTest.InstanceNorm1dStateful (0 ms)
2025-12-04T10:36:00.1948450Z [ RUN      ] ModulesTest.InstanceNorm1dStateless
2025-12-04T10:36:00.1948861Z [       OK ] ModulesTest.InstanceNorm1dStateless (0 ms)
2025-12-04T10:36:00.1949225Z [ RUN      ] ModulesTest.InstanceNorm1d
2025-12-04T10:36:00.1962098Z [       OK ] ModulesTest.InstanceNorm1d (1 ms)
2025-12-04T10:36:00.1962500Z [ RUN      ] ModulesTest.InstanceNorm2dStateful
2025-12-04T10:36:00.1963755Z [       OK ] ModulesTest.InstanceNorm2dStateful (0 ms)
2025-12-04T10:36:00.1964143Z [ RUN      ] ModulesTest.InstanceNorm2dStateless
2025-12-04T10:36:00.1965498Z [       OK ] ModulesTest.InstanceNorm2dStateless (0 ms)
2025-12-04T10:36:00.1965881Z [ RUN      ] ModulesTest.InstanceNorm2d
2025-12-04T10:36:00.1983532Z [       OK ] ModulesTest.InstanceNorm2d (1 ms)
2025-12-04T10:36:00.1983925Z [ RUN      ] ModulesTest.InstanceNorm3dStateful
2025-12-04T10:36:00.1985062Z [       OK ] ModulesTest.InstanceNorm3dStateful (0 ms)
2025-12-04T10:36:00.1985549Z [ RUN      ] ModulesTest.InstanceNorm3dStateless
2025-12-04T10:36:00.1985942Z [       OK ] ModulesTest.InstanceNorm3dStateless (0 ms)
2025-12-04T10:36:00.1986326Z [ RUN      ] ModulesTest.InstanceNorm3d
2025-12-04T10:36:00.2012342Z [       OK ] ModulesTest.InstanceNorm3d (2 ms)
2025-12-04T10:36:00.2012698Z [ RUN      ] ModulesTest.L1Loss
2025-12-04T10:36:00.2021124Z [       OK ] ModulesTest.L1Loss (0 ms)
2025-12-04T10:36:00.2021471Z [ RUN      ] ModulesTest.MSELoss
2025-12-04T10:36:00.2027834Z [       OK ] ModulesTest.MSELoss (0 ms)
2025-12-04T10:36:00.2028149Z [ RUN      ] ModulesTest.BCELoss
2025-12-04T10:36:00.2035672Z [       OK ] ModulesTest.BCELoss (0 ms)
2025-12-04T10:36:00.2036028Z [ RUN      ] ModulesTest.KLDivLoss
2025-12-04T10:36:00.2037909Z [W1204 10:36:00.878962107 loss.h:54] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div)
2025-12-04T10:36:00.2043989Z [       OK ] ModulesTest.KLDivLoss (0 ms)
2025-12-04T10:36:00.2044410Z [ RUN      ] ModulesTest.HingeEmbeddingLoss
2025-12-04T10:36:00.2061826Z [       OK ] ModulesTest.HingeEmbeddingLoss (1 ms)
2025-12-04T10:36:00.2062224Z [ RUN      ] ModulesTest.MultiMarginLoss
2025-12-04T10:36:00.2071714Z [       OK ] ModulesTest.MultiMarginLoss (0 ms)
2025-12-04T10:36:00.2072113Z [ RUN      ] ModulesTest.CosineEmbeddingLoss
2025-12-04T10:36:00.2099839Z [       OK ] ModulesTest.CosineEmbeddingLoss (2 ms)
2025-12-04T10:36:00.2100316Z [ RUN      ] ModulesTest.SmoothL1LossDefaultOptions
2025-12-04T10:36:00.2108943Z [       OK ] ModulesTest.SmoothL1LossDefaultOptions (0 ms)
2025-12-04T10:36:00.2109381Z [ RUN      ] ModulesTest.HuberLossDefaultOptions
2025-12-04T10:36:00.2117829Z [       OK ] ModulesTest.HuberLossDefaultOptions (0 ms)
2025-12-04T10:36:00.2118275Z [ RUN      ] ModulesTest.MultiLabelMarginLossDefaultOptions
2025-12-04T10:36:00.2126934Z [       OK ] ModulesTest.MultiLabelMarginLossDefaultOptions (0 ms)
2025-12-04T10:36:00.2127401Z [ RUN      ] ModulesTest.SmoothL1LossNoReduction
2025-12-04T10:36:00.2135186Z [       OK ] ModulesTest.SmoothL1LossNoReduction (0 ms)
2025-12-04T10:36:00.2135610Z [ RUN      ] ModulesTest.HuberLossNoReduction
2025-12-04T10:36:00.2143524Z [       OK ] ModulesTest.HuberLossNoReduction (0 ms)
2025-12-04T10:36:00.2143987Z [ RUN      ] ModulesTest.MultiLabelMarginLossNoReduction
2025-12-04T10:36:00.2152876Z [       OK ] ModulesTest.MultiLabelMarginLossNoReduction (0 ms)
2025-12-04T10:36:00.2153308Z [ RUN      ] ModulesTest.SmoothL1LossBeta
2025-12-04T10:36:00.2161535Z [       OK ] ModulesTest.SmoothL1LossBeta (0 ms)
2025-12-04T10:36:00.2161932Z [ RUN      ] ModulesTest.HuberLossDelta
2025-12-04T10:36:00.2170377Z [       OK ] ModulesTest.HuberLossDelta (0 ms)
2025-12-04T10:36:00.2170766Z [ RUN      ] ModulesTest.TripletMarginLoss
2025-12-04T10:36:00.2191179Z [       OK ] ModulesTest.TripletMarginLoss (2 ms)
2025-12-04T10:36:00.2191635Z [ RUN      ] ModulesTest.TripletMarginWithDistanceLossDefaultParity
2025-12-04T10:36:00.3349955Z [       OK ] ModulesTest.TripletMarginWithDistanceLossDefaultParity (115 ms)
2025-12-04T10:36:00.3350573Z [ RUN      ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity
2025-12-04T10:36:00.5049360Z [       OK ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity (169 ms)
2025-12-04T10:36:00.5049852Z [ RUN      ] ModulesTest.NLLLoss
2025-12-04T10:36:00.5066037Z [       OK ] ModulesTest.NLLLoss (1 ms)
2025-12-04T10:36:00.5066417Z [ RUN      ] ModulesTest.CrossEntropyLoss
2025-12-04T10:36:00.5115973Z [       OK ] ModulesTest.CrossEntropyLoss (5 ms)
2025-12-04T10:36:00.5116360Z [ RUN      ] ModulesTest.CosineSimilarity
2025-12-04T10:36:00.5134633Z [       OK ] ModulesTest.CosineSimilarity (1 ms)
2025-12-04T10:36:00.5135059Z [ RUN      ] ModulesTest.SoftMarginLossDefaultOptions
2025-12-04T10:36:00.5146477Z [       OK ] ModulesTest.SoftMarginLossDefaultOptions (1 ms)
2025-12-04T10:36:00.5147386Z [ RUN      ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions
2025-12-04T10:36:00.5168845Z [       OK ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions (2 ms)
2025-12-04T10:36:00.5169348Z [ RUN      ] ModulesTest.SoftMarginLossNoReduction
2025-12-04T10:36:00.5179592Z [       OK ] ModulesTest.SoftMarginLossNoReduction (1 ms)
2025-12-04T10:36:00.5180102Z [ RUN      ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction
2025-12-04T10:36:00.5199533Z [       OK ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction (1 ms)
2025-12-04T10:36:00.5200044Z [ RUN      ] ModulesTest.PairwiseDistance
2025-12-04T10:36:00.5213344Z [       OK ] ModulesTest.PairwiseDistance (1 ms)
2025-12-04T10:36:00.5213727Z [ RUN      ] ModulesTest.ELU
2025-12-04T10:36:00.5283729Z [       OK ] ModulesTest.ELU (7 ms)
2025-12-04T10:36:00.5284060Z [ RUN      ] ModulesTest.SELU
2025-12-04T10:36:00.5303179Z [       OK ] ModulesTest.SELU (1 ms)
2025-12-04T10:36:00.5303531Z [ RUN      ] ModulesTest.Hardshrink
2025-12-04T10:36:00.5371208Z [       OK ] ModulesTest.Hardshrink (6 ms)
2025-12-04T10:36:00.5554885Z [ RUN      ] ModulesTest.Hardtanh
2025-12-04T10:36:00.5555437Z [       OK ] ModulesTest.Hardtanh (18 ms)
2025-12-04T10:36:00.5555814Z [ RUN      ] ModulesTest.HardtanhMinValGEMaxVal
2025-12-04T10:36:00.5557194Z [       OK ] ModulesTest.HardtanhMinValGEMaxVal (0 ms)
2025-12-04T10:36:00.5557591Z [ RUN      ] ModulesTest.LeakyReLU
2025-12-04T10:36:00.5646733Z [       OK ] ModulesTest.LeakyReLU (8 ms)
2025-12-04T10:36:00.5647099Z [ RUN      ] ModulesTest.LogSigmoid
2025-12-04T10:36:00.5657616Z [       OK ] ModulesTest.LogSigmoid (1 ms)
2025-12-04T10:36:00.5658068Z [ RUN      ] ModulesTest.Softmax
2025-12-04T10:36:00.5667100Z [       OK ] ModulesTest.Softmax (0 ms)
2025-12-04T10:36:00.5667516Z [ RUN      ] ModulesTest.Softmin
2025-12-04T10:36:00.5676919Z [       OK ] ModulesTest.Softmin (0 ms)
2025-12-04T10:36:00.5677333Z [ RUN      ] ModulesTest.LogSoftmax
2025-12-04T10:36:00.5686487Z [       OK ] ModulesTest.LogSoftmax (0 ms)
2025-12-04T10:36:00.5686950Z [ RUN      ] ModulesTest.AdaptiveLogSoftmaxWithLoss
2025-12-04T10:36:00.5873357Z [       OK ] ModulesTest.AdaptiveLogSoftmaxWithLoss (18 ms)
2025-12-04T10:36:00.5873763Z [ RUN      ] ModulesTest.Softmax2d
2025-12-04T10:36:00.5947314Z [       OK ] ModulesTest.Softmax2d (7 ms)
2025-12-04T10:36:00.5947665Z [ RUN      ] ModulesTest.PReLU
2025-12-04T10:36:00.6199144Z [       OK ] ModulesTest.PReLU (25 ms)
2025-12-04T10:36:00.6199563Z [ RUN      ] ModulesTest.ReLU
2025-12-04T10:36:00.6220480Z [       OK ] ModulesTest.ReLU (2 ms)
2025-12-04T10:36:00.6220878Z [ RUN      ] ModulesTest.ReLU6
2025-12-04T10:36:00.6245807Z [       OK ] ModulesTest.ReLU6 (2 ms)
2025-12-04T10:36:00.6246156Z [ RUN      ] ModulesTest.RReLU
2025-12-04T10:36:00.6554536Z [       OK ] ModulesTest.RReLU (30 ms)
2025-12-04T10:36:00.6554875Z [ RUN      ] ModulesTest.CELU
2025-12-04T10:36:00.6642797Z [       OK ] ModulesTest.CELU (8 ms)
2025-12-04T10:36:00.6643140Z [ RUN      ] ModulesTest.GLU
2025-12-04T10:36:00.6659031Z [       OK ] ModulesTest.GLU (1 ms)
2025-12-04T10:36:00.6659433Z [ RUN      ] ModulesTest.GELU
2025-12-04T10:36:00.6670013Z [       OK ] ModulesTest.GELU (1 ms)
2025-12-04T10:36:00.6670408Z [ RUN      ] ModulesTest.TanhGELU
2025-12-04T10:36:00.6677578Z [       OK ] ModulesTest.TanhGELU (0 ms)
2025-12-04T10:36:00.6677991Z [ RUN      ] ModulesTest.Mish
2025-12-04T10:36:00.6684160Z [       OK ] ModulesTest.Mish (0 ms)
2025-12-04T10:36:00.6684528Z [ RUN      ] ModulesTest.Sigmoid
2025-12-04T10:36:00.6690889Z [       OK ] ModulesTest.Sigmoid (0 ms)
2025-12-04T10:36:00.6691294Z [ RUN      ] ModulesTest.PixelShuffle
2025-12-04T10:36:00.6701076Z [       OK ] ModulesTest.PixelShuffle (0 ms)
2025-12-04T10:36:00.6701509Z [ RUN      ] ModulesTest.PixelUnshuffle
2025-12-04T10:36:00.6710720Z [       OK ] ModulesTest.PixelUnshuffle (0 ms)
2025-12-04T10:36:00.6711169Z [ RUN      ] ModulesTest.Softplus
2025-12-04T10:36:00.6765573Z [       OK ] ModulesTest.Softplus (5 ms)
2025-12-04T10:36:00.6766077Z [ RUN      ] ModulesTest.Softshrink
2025-12-04T10:36:00.6817779Z [       OK ] ModulesTest.Softshrink (5 ms)
2025-12-04T10:36:00.6818180Z [ RUN      ] ModulesTest.Softsign
2025-12-04T10:36:00.6823788Z [       OK ] ModulesTest.Softsign (0 ms)
2025-12-04T10:36:00.6824191Z [ RUN      ] ModulesTest.Tanh
2025-12-04T10:36:00.6830877Z [       OK ] ModulesTest.Tanh (0 ms)
2025-12-04T10:36:00.6831256Z [ RUN      ] ModulesTest.Tanhshrink
2025-12-04T10:36:00.6836444Z [       OK ] ModulesTest.Tanhshrink (0 ms)
2025-12-04T10:36:00.6836858Z [ RUN      ] ModulesTest.Threshold
2025-12-04T10:36:00.6947383Z [       OK ] ModulesTest.Threshold (11 ms)
2025-12-04T10:36:00.6947912Z [ RUN      ] ModulesTest.Upsampling1D
2025-12-04T10:36:00.6960485Z [W1204 10:36:00.371105368 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.6970389Z [W1204 10:36:00.372107431 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.6981313Z [W1204 10:36:00.373226245 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.6986386Z [W1204 10:36:00.373744145 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7001816Z [       OK ] ModulesTest.Upsampling1D (5 ms)
2025-12-04T10:36:00.7002260Z [ RUN      ] ModulesTest.Upsampling2D
2025-12-04T10:36:00.7012659Z [W1204 10:36:00.376370529 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7027061Z [W1204 10:36:00.377808888 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7037486Z [W1204 10:36:00.378849036 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7042311Z [W1204 10:36:00.379337088 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7052653Z [W1204 10:36:00.380355269 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7062815Z [W1204 10:36:00.381379837 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7075349Z [W1204 10:36:00.382632150 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7081232Z [W1204 10:36:00.383226364 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7091457Z [       OK ] ModulesTest.Upsampling2D (8 ms)
2025-12-04T10:36:00.7091896Z [ RUN      ] ModulesTest.Upsampling3D
2025-12-04T10:36:00.7103472Z [W1204 10:36:00.385446735 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7112941Z [W1204 10:36:00.386395425 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7125387Z [W1204 10:36:00.387637622 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7131161Z [W1204 10:36:00.388218960 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2025-12-04T10:36:00.7141495Z [       OK ] ModulesTest.Upsampling3D (4 ms)
2025-12-04T10:36:00.7141915Z [ RUN      ] ModulesTest.CTCLoss
2025-12-04T10:36:00.7152615Z [       OK ] ModulesTest.CTCLoss (1 ms)
2025-12-04T10:36:00.7153060Z [ RUN      ] ModulesTest.PoissonNLLLoss
2025-12-04T10:36:00.7168526Z [       OK ] ModulesTest.PoissonNLLLoss (1 ms)
2025-12-04T10:36:00.7168981Z [ RUN      ] ModulesTest.MarginRankingLoss
2025-12-04T10:36:00.7194358Z [       OK ] ModulesTest.MarginRankingLoss (2 ms)
2025-12-04T10:36:00.7194813Z [ RUN      ] ModulesTest.BCEWithLogitsLoss
2025-12-04T10:36:00.7297352Z [       OK ] ModulesTest.BCEWithLogitsLoss (10 ms)
2025-12-04T10:36:00.7297877Z [ RUN      ] ModulesTest.MultiheadAttention
2025-12-04T10:37:07.3875964Z [       OK ] ModulesTest.MultiheadAttention (66657 ms)
2025-12-04T10:37:07.3876430Z [ RUN      ] ModulesTest.PrettyPrintIdentity
2025-12-04T10:37:07.3876812Z [       OK ] ModulesTest.PrettyPrintIdentity (0 ms)
2025-12-04T10:37:07.3877270Z [ RUN      ] ModulesTest.PrettyPrintFlatten
2025-12-04T10:37:07.3877663Z [       OK ] ModulesTest.PrettyPrintFlatten (0 ms)
2025-12-04T10:37:07.3878038Z [ RUN      ] ModulesTest.PrettyPrintUnflatten
2025-12-04T10:37:07.3878664Z [       OK ] ModulesTest.PrettyPrintUnflatten (0 ms)
2025-12-04T10:37:07.3879057Z [ RUN      ] ModulesTest.ReflectionPad1d
2025-12-04T10:37:07.3890693Z [       OK ] ModulesTest.ReflectionPad1d (1 ms)
2025-12-04T10:37:07.3891114Z [ RUN      ] ModulesTest.ReflectionPad2d
2025-12-04T10:37:07.3907891Z [       OK ] ModulesTest.ReflectionPad2d (1 ms)
2025-12-04T10:37:07.3908346Z [ RUN      ] ModulesTest.ReflectionPad3d
2025-12-04T10:37:07.3933064Z [       OK ] ModulesTest.ReflectionPad3d (2 ms)
2025-12-04T10:37:07.3933548Z [ RUN      ] ModulesTest.ReplicationPad1d
2025-12-04T10:37:07.3946694Z [       OK ] ModulesTest.ReplicationPad1d (1 ms)
2025-12-04T10:37:07.3947089Z [ RUN      ] ModulesTest.ReplicationPad2d
2025-12-04T10:37:07.3964954Z [       OK ] ModulesTest.ReplicationPad2d (1 ms)
2025-12-04T10:37:07.3965391Z [ RUN      ] ModulesTest.ReplicationPad3d
2025-12-04T10:37:07.3995961Z [       OK ] ModulesTest.ReplicationPad3d (3 ms)
2025-12-04T10:37:07.3996384Z [ RUN      ] ModulesTest.ZeroPad1d
2025-12-04T10:37:07.4009105Z [       OK ] ModulesTest.ZeroPad1d (1 ms)
2025-12-04T10:37:07.4009517Z [ RUN      ] ModulesTest.ZeroPad2d
2025-12-04T10:37:07.4027101Z [       OK ] ModulesTest.ZeroPad2d (1 ms)
2025-12-04T10:37:07.4027528Z [ RUN      ] ModulesTest.ZeroPad3d
2025-12-04T10:37:07.4059052Z [       OK ] ModulesTest.ZeroPad3d (3 ms)
2025-12-04T10:37:07.4059492Z [ RUN      ] ModulesTest.ConstantPad1d
2025-12-04T10:37:07.4072222Z [       OK ] ModulesTest.ConstantPad1d (1 ms)
2025-12-04T10:37:07.4072665Z [ RUN      ] ModulesTest.ConstantPad2d
2025-12-04T10:37:07.4089337Z [       OK ] ModulesTest.ConstantPad2d (1 ms)
2025-12-04T10:37:07.4089771Z [ RUN      ] ModulesTest.ConstantPad3d
2025-12-04T10:37:07.4121737Z [       OK ] ModulesTest.ConstantPad3d (3 ms)
2025-12-04T10:37:07.4122086Z [ RUN      ] ModulesTest.CrossMapLRN2d
2025-12-04T10:37:07.4182900Z [       OK ] ModulesTest.CrossMapLRN2d (6 ms)
2025-12-04T10:37:07.4183310Z [ RUN      ] ModulesTest.RNNCell
2025-12-04T10:37:07.4217046Z [       OK ] ModulesTest.RNNCell (3 ms)
2025-12-04T10:37:07.4217478Z [ RUN      ] ModulesTest.LSTMCell
2025-12-04T10:37:07.4277912Z [       OK ] ModulesTest.LSTMCell (6 ms)
2025-12-04T10:37:07.4278307Z [ RUN      ] ModulesTest.GRUCell
2025-12-04T10:37:07.4322926Z [       OK ] ModulesTest.GRUCell (4 ms)
2025-12-04T10:37:07.4323372Z [ RUN      ] ModulesTest.PrettyPrintLinear
2025-12-04T10:37:07.4324018Z [       OK ] ModulesTest.PrettyPrintLinear (0 ms)
2025-12-04T10:37:07.4324494Z [ RUN      ] ModulesTest.PrettyPrintBilinear
2025-12-04T10:37:07.4325866Z [       OK ] ModulesTest.PrettyPrintBilinear (0 ms)
2025-12-04T10:37:07.4326321Z [ RUN      ] ModulesTest.PrettyPrintConv
2025-12-04T10:37:07.4357789Z [       OK ] ModulesTest.PrettyPrintConv (3 ms)
2025-12-04T10:37:07.4358276Z [ RUN      ] ModulesTest.PrettyPrintConvTranspose
2025-12-04T10:37:07.4374457Z [       OK ] ModulesTest.PrettyPrintConvTranspose (1 ms)
2025-12-04T10:37:07.4374957Z [ RUN      ] ModulesTest.PrettyPrintUpsample
2025-12-04T10:37:07.4375359Z [       OK ] ModulesTest.PrettyPrintUpsample (0 ms)
2025-12-04T10:37:07.4375787Z [ RUN      ] ModulesTest.PrettyPrintFold
2025-12-04T10:37:07.4376204Z [       OK ] ModulesTest.PrettyPrintFold (0 ms)
2025-12-04T10:37:07.4376577Z [ RUN      ] ModulesTest.PrettyPrintUnfold
2025-12-04T10:37:07.4377003Z [       OK ] ModulesTest.PrettyPrintUnfold (0 ms)
2025-12-04T10:37:07.4377436Z [ RUN      ] ModulesTest.PrettyPrintMaxPool
2025-12-04T10:37:07.4378395Z [       OK ] ModulesTest.PrettyPrintMaxPool (0 ms)
2025-12-04T10:37:07.4378913Z [ RUN      ] ModulesTest.PrettyPrintAvgPool
2025-12-04T10:37:07.4379371Z [       OK ] ModulesTest.PrettyPrintAvgPool (0 ms)
2025-12-04T10:37:07.4379790Z [ RUN      ] ModulesTest.PrettyPrinFractionalMaxPool
2025-12-04T10:37:07.4380220Z [       OK ] ModulesTest.PrettyPrinFractionalMaxPool (0 ms)
2025-12-04T10:37:07.4380669Z [ RUN      ] ModulesTest.PrettyPrintLPPool
2025-12-04T10:37:07.4381254Z [       OK ] ModulesTest.PrettyPrintLPPool (0 ms)
2025-12-04T10:37:07.4381658Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveMaxPool
2025-12-04T10:37:07.4383168Z [       OK ] ModulesTest.PrettyPrintAdaptiveMaxPool (0 ms)
2025-12-04T10:37:07.4383608Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveAvgPool
2025-12-04T10:37:07.4384406Z [       OK ] ModulesTest.PrettyPrintAdaptiveAvgPool (0 ms)
2025-12-04T10:37:07.4384808Z [ RUN      ] ModulesTest.PrettyPrintMaxUnpool
2025-12-04T10:37:07.4385468Z [       OK ] ModulesTest.PrettyPrintMaxUnpool (0 ms)
2025-12-04T10:37:07.4385931Z [ RUN      ] ModulesTest.PrettyPrintDropout
2025-12-04T10:37:07.4386379Z [       OK ] ModulesTest.PrettyPrintDropout (0 ms)
2025-12-04T10:37:07.4386803Z [ RUN      ] ModulesTest.PrettyPrintDropout2d
2025-12-04T10:37:07.4387319Z [       OK ] ModulesTest.PrettyPrintDropout2d (0 ms)
2025-12-04T10:37:07.4387718Z [ RUN      ] ModulesTest.PrettyPrintDropout3d
2025-12-04T10:37:07.4388102Z [       OK ] ModulesTest.PrettyPrintDropout3d (0 ms)
2025-12-04T10:37:07.4388496Z [ RUN      ] ModulesTest.PrettyPrintFunctional
2025-12-04T10:37:07.4388956Z [       OK ] ModulesTest.PrettyPrintFunctional (0 ms)
2025-12-04T10:37:07.4389364Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm1d
2025-12-04T10:37:07.4389759Z [       OK ] ModulesTest.PrettyPrintBatchNorm1d (0 ms)
2025-12-04T10:37:07.4390223Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm2d
2025-12-04T10:37:07.4390633Z [       OK ] ModulesTest.PrettyPrintBatchNorm2d (0 ms)
2025-12-04T10:37:07.4391020Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm3d
2025-12-04T10:37:07.4391767Z [       OK ] ModulesTest.PrettyPrintBatchNorm3d (0 ms)
2025-12-04T10:37:07.4392181Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm1d
2025-12-04T10:37:07.4392990Z [       OK ] ModulesTest.PrettyPrintInstanceNorm1d (0 ms)
2025-12-04T10:37:07.4393398Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm2d
2025-12-04T10:37:07.4394311Z [       OK ] ModulesTest.PrettyPrintInstanceNorm2d (0 ms)
2025-12-04T10:37:07.4394738Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm3d
2025-12-04T10:37:07.4395641Z [       OK ] ModulesTest.PrettyPrintInstanceNorm3d (0 ms)
2025-12-04T10:37:07.4396038Z [ RUN      ] ModulesTest.PrettyPrintLayerNorm
2025-12-04T10:37:07.4396935Z [       OK ] ModulesTest.PrettyPrintLayerNorm (0 ms)
2025-12-04T10:37:07.4397328Z [ RUN      ] ModulesTest.PrettyPrintGroupNorm
2025-12-04T10:37:07.4398383Z [       OK ] ModulesTest.PrettyPrintGroupNorm (0 ms)
2025-12-04T10:37:07.4398801Z [ RUN      ] ModulesTest.PrettyPrintLocalResponseNorm
2025-12-04T10:37:07.4399252Z [       OK ] ModulesTest.PrettyPrintLocalResponseNorm (0 ms)
2025-12-04T10:37:07.4399789Z [ RUN      ] ModulesTest.PrettyPrintEmbedding
2025-12-04T10:37:07.4401444Z [       OK ] ModulesTest.PrettyPrintEmbedding (0 ms)
2025-12-04T10:37:07.4401854Z [ RUN      ] ModulesTest.PrettyPrintEmbeddingBag
2025-12-04T10:37:07.4404231Z [       OK ] ModulesTest.PrettyPrintEmbeddingBag (0 ms)
2025-12-04T10:37:07.4404778Z [ RUN      ] ModulesTest.PrettyPrintL1Loss
2025-12-04T10:37:07.4405285Z [       OK ] ModulesTest.PrettyPrintL1Loss (0 ms)
2025-12-04T10:37:07.4405691Z [ RUN      ] ModulesTest.PrettyPrintKLDivLoss
2025-12-04T10:37:07.4406226Z [       OK ] ModulesTest.PrettyPrintKLDivLoss (0 ms)
2025-12-04T10:37:07.4406750Z [ RUN      ] ModulesTest.PrettyPrintMSELoss
2025-12-04T10:37:07.4407211Z [       OK ] ModulesTest.PrettyPrintMSELoss (0 ms)
2025-12-04T10:37:07.4407649Z [ RUN      ] ModulesTest.PrettyPrintBCELoss
2025-12-04T10:37:07.4408161Z [       OK ] ModulesTest.PrettyPrintBCELoss (0 ms)
2025-12-04T10:37:07.4408640Z [ RUN      ] ModulesTest.PrettyPrintHingeEmbeddingLoss
2025-12-04T10:37:07.4409271Z [       OK ] ModulesTest.PrettyPrintHingeEmbeddingLoss (0 ms)
2025-12-04T10:37:07.4409748Z [ RUN      ] ModulesTest.PrettyPrintCosineEmbeddingLoss
2025-12-04T10:37:07.4410313Z [       OK ] ModulesTest.PrettyPrintCosineEmbeddingLoss (0 ms)
2025-12-04T10:37:07.4410878Z [ RUN      ] ModulesTest.PrettyPrintTripletMarginLoss
2025-12-04T10:37:07.4411320Z [       OK ] ModulesTest.PrettyPrintTripletMarginLoss (0 ms)
2025-12-04T10:37:07.4411914Z [ RUN      ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss
2025-12-04T10:37:07.4412520Z [       OK ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss (0 ms)
2025-12-04T10:37:07.4413137Z [ RUN      ] ModulesTest.PrettyPrintNLLLoss
2025-12-04T10:37:07.4413500Z [       OK ] ModulesTest.PrettyPrintNLLLoss (0 ms)
2025-12-04T10:37:07.4414022Z [ RUN      ] ModulesTest.PrettyPrinCrossEntropyLoss
2025-12-04T10:37:07.4414451Z [       OK ] ModulesTest.PrettyPrinCrossEntropyLoss (0 ms)
2025-12-04T10:37:07.4414897Z [ RUN      ] ModulesTest.PrettyPrintMultiLabelMarginLoss
2025-12-04T10:37:07.4415367Z [       OK ] ModulesTest.PrettyPrintMultiLabelMarginLoss (0 ms)
2025-12-04T10:37:07.4415848Z [ RUN      ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss
2025-12-04T10:37:07.4416384Z [       OK ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss (0 ms)
2025-12-04T10:37:07.4416936Z [ RUN      ] ModulesTest.PrettyPrintSoftMarginLoss
2025-12-04T10:37:07.4417467Z [       OK ] ModulesTest.PrettyPrintSoftMarginLoss (0 ms)
2025-12-04T10:37:07.4418019Z [ RUN      ] ModulesTest.PrettyPrintCosineSimilarity
2025-12-04T10:37:07.4418579Z [       OK ] ModulesTest.PrettyPrintCosineSimilarity (0 ms)
2025-12-04T10:37:07.4419112Z [ RUN      ] ModulesTest.PrettyPrintPairwiseDistance
2025-12-04T10:37:07.4419660Z [       OK ] ModulesTest.PrettyPrintPairwiseDistance (0 ms)
2025-12-04T10:37:07.4420145Z [ RUN      ] ModulesTest.PrettyPrintReflectionPad
2025-12-04T10:37:07.4420635Z [       OK ] ModulesTest.PrettyPrintReflectionPad (0 ms)
2025-12-04T10:37:07.4421056Z [ RUN      ] ModulesTest.PrettyPrintReplicationPad
2025-12-04T10:37:07.4421548Z [       OK ] ModulesTest.PrettyPrintReplicationPad (0 ms)
2025-12-04T10:37:07.4422009Z [ RUN      ] ModulesTest.PrettyPrintZeroPad
2025-12-04T10:37:07.4422378Z [       OK ] ModulesTest.PrettyPrintZeroPad (0 ms)
2025-12-04T10:37:07.4422773Z [ RUN      ] ModulesTest.PrettyPrintConstantPad
2025-12-04T10:37:07.4423182Z [       OK ] ModulesTest.PrettyPrintConstantPad (0 ms)
2025-12-04T10:37:07.4423568Z [ RUN      ] ModulesTest.PrettyPrintNestedModel
2025-12-04T10:37:07.4424053Z [       OK ] ModulesTest.PrettyPrintNestedModel (0 ms)
2025-12-04T10:37:07.4424496Z [ RUN      ] ModulesTest.PrettyPrintELU
2025-12-04T10:37:07.4424852Z [       OK ] ModulesTest.PrettyPrintELU (0 ms)
2025-12-04T10:37:07.4425265Z [ RUN      ] ModulesTest.PrettyPrintSELU
2025-12-04T10:37:07.4425690Z [       OK ] ModulesTest.PrettyPrintSELU (0 ms)
2025-12-04T10:37:07.4426052Z [ RUN      ] ModulesTest.PrettyPrintGLU
2025-12-04T10:37:07.4426460Z [       OK ] ModulesTest.PrettyPrintGLU (0 ms)
2025-12-04T10:37:07.4427133Z [ RUN      ] ModulesTest.PrettyPrintHardshrink
2025-12-04T10:37:07.4427545Z [       OK ] ModulesTest.PrettyPrintHardshrink (0 ms)
2025-12-04T10:37:07.4428046Z [ RUN      ] ModulesTest.PrettyPrintHardtanh
2025-12-04T10:37:07.4428568Z [       OK ] ModulesTest.PrettyPrintHardtanh (0 ms)
2025-12-04T10:37:07.4429044Z [ RUN      ] ModulesTest.PrettyPrintLeakyReLU
2025-12-04T10:37:07.4429465Z [       OK ] ModulesTest.PrettyPrintLeakyReLU (0 ms)
2025-12-04T10:37:07.4429956Z [ RUN      ] ModulesTest.PrettyPrintLogSigmoid
2025-12-04T10:37:07.4430461Z [       OK ] ModulesTest.PrettyPrintLogSigmoid (0 ms)
2025-12-04T10:37:07.4430940Z [ RUN      ] ModulesTest.PrettyPrintSoftmax
2025-12-04T10:37:07.4431349Z [       OK ] ModulesTest.PrettyPrintSoftmax (0 ms)
2025-12-04T10:37:07.4431789Z [ RUN      ] ModulesTest.PrettyPrintSoftmin
2025-12-04T10:37:07.4432211Z [       OK ] ModulesTest.PrettyPrintSoftmin (0 ms)
2025-12-04T10:37:07.4432646Z [ RUN      ] ModulesTest.PrettyPrintLogSoftmax
2025-12-04T10:37:07.4433160Z [       OK ] ModulesTest.PrettyPrintLogSoftmax (0 ms)
2025-12-04T10:37:07.4433562Z [ RUN      ] ModulesTest.PrettyPrintSoftmax2d
2025-12-04T10:37:07.4433977Z [       OK ] ModulesTest.PrettyPrintSoftmax2d (0 ms)
2025-12-04T10:37:07.4434391Z [ RUN      ] ModulesTest.PrettyPrintPReLU
2025-12-04T10:37:07.4434790Z [       OK ] ModulesTest.PrettyPrintPReLU (0 ms)
2025-12-04T10:37:07.4435167Z [ RUN      ] ModulesTest.PrettyPrintReLU
2025-12-04T10:37:07.4435532Z [       OK ] ModulesTest.PrettyPrintReLU (0 ms)
2025-12-04T10:37:07.4435942Z [ RUN      ] ModulesTest.PrettyPrintReLU6
2025-12-04T10:37:07.4436317Z [       OK ] ModulesTest.PrettyPrintReLU6 (0 ms)
2025-12-04T10:37:07.4436696Z [ RUN      ] ModulesTest.PrettyPrintRReLU
2025-12-04T10:37:07.4437049Z [       OK ] ModulesTest.PrettyPrintRReLU (0 ms)
2025-12-04T10:37:07.4437427Z [ RUN      ] ModulesTest.PrettyPrintCELU
2025-12-04T10:37:07.4437794Z [       OK ] ModulesTest.PrettyPrintCELU (0 ms)
2025-12-04T10:37:07.4438245Z [ RUN      ] ModulesTest.PrettyPrintSigmoid
2025-12-04T10:37:07.4438608Z [       OK ] ModulesTest.PrettyPrintSigmoid (0 ms)
2025-12-04T10:37:07.4439011Z [ RUN      ] ModulesTest.PrettyPrintPixelShuffle
2025-12-04T10:37:07.4439427Z [       OK ] ModulesTest.PrettyPrintPixelShuffle (0 ms)
2025-12-04T10:37:07.4439826Z [ RUN      ] ModulesTest.PrettyPrintPixelUnshuffle
2025-12-04T10:37:07.4440254Z [       OK ] ModulesTest.PrettyPrintPixelUnshuffle (0 ms)
2025-12-04T10:37:07.4440667Z [ RUN      ] ModulesTest.PrettyPrintSoftplus
2025-12-04T10:37:07.4441046Z [       OK ] ModulesTest.PrettyPrintSoftplus (0 ms)
2025-12-04T10:37:07.4441441Z [ RUN      ] ModulesTest.PrettyPrintSoftshrink
2025-12-04T10:37:07.4441834Z [       OK ] ModulesTest.PrettyPrintSoftshrink (0 ms)
2025-12-04T10:37:07.4442223Z [ RUN      ] ModulesTest.PrettyPrintSoftsign
2025-12-04T10:37:07.4442636Z [       OK ] ModulesTest.PrettyPrintSoftsign (0 ms)
2025-12-04T10:37:07.4443024Z [ RUN      ] ModulesTest.PrettyPrintTanh
2025-12-04T10:37:07.4443384Z [       OK ] ModulesTest.PrettyPrintTanh (0 ms)
2025-12-04T10:37:07.4443755Z [ RUN      ] ModulesTest.PrettyPrintTanhshrink
2025-12-04T10:37:07.4444152Z [       OK ] ModulesTest.PrettyPrintTanhshrink (0 ms)
2025-12-04T10:37:07.4444543Z [ RUN      ] ModulesTest.PrettyPrintThreshold
2025-12-04T10:37:07.4444917Z [       OK ] ModulesTest.PrettyPrintThreshold (0 ms)
2025-12-04T10:37:07.4445303Z [ RUN      ] ModulesTest.PrettyPrintCTCLoss
2025-12-04T10:37:07.4445684Z [       OK ] ModulesTest.PrettyPrintCTCLoss (0 ms)
2025-12-04T10:37:07.4446083Z [ RUN      ] ModulesTest.PrettyPrintPoissonNLLLoss
2025-12-04T10:37:07.4446708Z [       OK ] ModulesTest.PrettyPrintPoissonNLLLoss (0 ms)
2025-12-04T10:37:07.4447141Z [ RUN      ] ModulesTest.PrettyPrintMarginRankingLoss
2025-12-04T10:37:07.4447595Z [       OK ] ModulesTest.PrettyPrintMarginRankingLoss (0 ms)
2025-12-04T10:37:07.4448020Z [ RUN      ] ModulesTest.PrettyPrintCrossMapLRN2d
2025-12-04T10:37:07.4448437Z [       OK ] ModulesTest.PrettyPrintCrossMapLRN2d (0 ms)
2025-12-04T10:37:07.4448951Z [ RUN      ] ModulesTest.PrettyPrintAlphaDropout
2025-12-04T10:37:07.4449345Z [       OK ] ModulesTest.PrettyPrintAlphaDropout (0 ms)
2025-12-04T10:37:07.4449776Z [ RUN      ] ModulesTest.PrettyPrintFeatureAlphaDropout
2025-12-04T10:37:07.4450306Z [       OK ] ModulesTest.PrettyPrintFeatureAlphaDropout (0 ms)
2025-12-04T10:37:07.4450822Z [ RUN      ] ModulesTest.PrettyPrintBCEWithLogitsLoss
2025-12-04T10:37:07.4451255Z [       OK ] ModulesTest.PrettyPrintBCEWithLogitsLoss (0 ms)
2025-12-04T10:37:07.4451717Z [ RUN      ] ModulesTest.PrettyPrintMultiheadAttention
2025-12-04T10:37:07.4452182Z [       OK ] ModulesTest.PrettyPrintMultiheadAttention (0 ms)
2025-12-04T10:37:07.4452589Z [ RUN      ] ModulesTest.PrettyPrintRNNCell
2025-12-04T10:37:07.4452965Z [       OK ] ModulesTest.PrettyPrintRNNCell (0 ms)
2025-12-04T10:37:07.4453353Z [ RUN      ] ModulesTest.PrettyPrintLSTMCell
2025-12-04T10:37:07.4453723Z [       OK ] ModulesTest.PrettyPrintLSTMCell (0 ms)
2025-12-04T10:37:07.4454266Z [ RUN      ] ModulesTest.PrettyPrintGRUCell
2025-12-04T10:37:07.4454654Z [       OK ] ModulesTest.PrettyPrintGRUCell (0 ms)
2025-12-04T10:37:07.4455108Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss
2025-12-04T10:37:07.4455627Z [       OK ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss (0 ms)
2025-12-04T10:37:07.4456113Z [----------] 260 tests from ModulesTest (67706 ms total)
2025-12-04T10:37:07.4456362Z 
2025-12-04T10:37:07.4456478Z [----------] 1 test from NestedTest
2025-12-04T10:37:07.4456836Z [ RUN      ] NestedTest.Nested
2025-12-04T10:37:07.4458620Z [W1204 10:37:07.120975731 NestedTensorImpl.cpp:182] Warning: 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. (function operator())
2025-12-04T10:37:07.4461627Z [       OK ] NestedTest.Nested (0 ms)
2025-12-04T10:37:07.4461985Z [----------] 1 test from NestedTest (0 ms total)
2025-12-04T10:37:07.4462221Z 
2025-12-04T10:37:07.4462358Z [----------] 10 tests from ParameterDictTest
2025-12-04T10:37:07.4462729Z [ RUN      ] ParameterDictTest.ConstructFromTensor
2025-12-04T10:37:07.4464209Z [       OK ] ParameterDictTest.ConstructFromTensor (0 ms)
2025-12-04T10:37:07.4464662Z [ RUN      ] ParameterDictTest.ConstructFromOrderedDict
2025-12-04T10:37:07.4466272Z [       OK ] ParameterDictTest.ConstructFromOrderedDict (0 ms)
2025-12-04T10:37:07.4466785Z [ RUN      ] ParameterDictTest.InsertAndContains
2025-12-04T10:37:07.4467269Z [       OK ] ParameterDictTest.InsertAndContains (0 ms)
2025-12-04T10:37:07.4467671Z [ RUN      ] ParameterDictTest.InsertAndClear
2025-12-04T10:37:07.4468063Z [       OK ] ParameterDictTest.InsertAndClear (0 ms)
2025-12-04T10:37:07.4468434Z [ RUN      ] ParameterDictTest.InsertAndPop
2025-12-04T10:37:07.4469871Z [       OK ] ParameterDictTest.InsertAndPop (0 ms)
2025-12-04T10:37:07.4470259Z [ RUN      ] ParameterDictTest.SimpleUpdate
2025-12-04T10:37:07.4472732Z [       OK ] ParameterDictTest.SimpleUpdate (0 ms)
2025-12-04T10:37:07.4473207Z [ RUN      ] ParameterDictTest.Keys
2025-12-04T10:37:07.4473813Z [       OK ] ParameterDictTest.Keys (0 ms)
2025-12-04T10:37:07.4474163Z [ RUN      ] ParameterDictTest.Values
2025-12-04T10:37:07.4475833Z [       OK ] ParameterDictTest.Values (0 ms)
2025-12-04T10:37:07.4476179Z [ RUN      ] ParameterDictTest.Get
2025-12-04T10:37:07.4477813Z [       OK ] ParameterDictTest.Get (0 ms)
2025-12-04T10:37:07.4478200Z [ RUN      ] ParameterDictTest.PrettyPrintParameterDict
2025-12-04T10:37:07.4480179Z [       OK ] ParameterDictTest.PrettyPrintParameterDict (0 ms)
2025-12-04T10:37:07.4480715Z [----------] 10 tests from ParameterDictTest (1 ms total)
2025-12-04T10:37:07.4481028Z 
2025-12-04T10:37:07.4481238Z [----------] 8 tests from ParameterListTest
2025-12-04T10:37:07.4481673Z [ RUN      ] ParameterListTest.ConstructsFromSharedPointer
2025-12-04T10:37:07.4482231Z [       OK ] ParameterListTest.ConstructsFromSharedPointer (0 ms)
2025-12-04T10:37:07.4482733Z [ RUN      ] ParameterListTest.isEmpty
2025-12-04T10:37:07.4483067Z [       OK ] ParameterListTest.isEmpty (0 ms)
2025-12-04T10:37:07.4483461Z [ RUN      ] ParameterListTest.PushBackAddsAnElement
2025-12-04T10:37:07.4491571Z [       OK ] ParameterListTest.PushBackAddsAnElement (0 ms)
2025-12-04T10:37:07.4492108Z [ RUN      ] ParameterListTest.ForEachLoop
2025-12-04T10:37:07.4492495Z [       OK ] ParameterListTest.ForEachLoop (0 ms)
2025-12-04T10:37:07.4492873Z [ RUN      ] ParameterListTest.AccessWithAt
2025-12-04T10:37:07.4493265Z [       OK ] ParameterListTest.AccessWithAt (0 ms)
2025-12-04T10:37:07.4493791Z [ RUN      ] ParameterListTest.ExtendPushesParametersFromOtherParameterList
2025-12-04T10:37:07.4496554Z [       OK ] ParameterListTest.ExtendPushesParametersFromOtherParameterList (0 ms)
2025-12-04T10:37:07.4497217Z [ RUN      ] ParameterListTest.PrettyPrintParameterList
2025-12-04T10:37:07.4497749Z [       OK ] ParameterListTest.PrettyPrintParameterList (0 ms)
2025-12-04T10:37:07.4498191Z [ RUN      ] ParameterListTest.IncrementAdd
2025-12-04T10:37:07.4503563Z [       OK ] ParameterListTest.IncrementAdd (0 ms)
2025-12-04T10:37:07.4503981Z [----------] 8 tests from ParameterListTest (2 ms total)
2025-12-04T10:37:07.4504239Z 
2025-12-04T10:37:07.4504367Z [----------] 1 test from NamespaceTests
2025-12-04T10:37:07.4504822Z [ RUN      ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace
2025-12-04T10:37:07.4505454Z [       OK ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace (0 ms)
2025-12-04T10:37:07.4506036Z [----------] 1 test from NamespaceTests (0 ms total)
2025-12-04T10:37:07.4506281Z 
2025-12-04T10:37:07.4506404Z [----------] 7 tests from NNUtilsTest
2025-12-04T10:37:07.4506778Z [ RUN      ] NNUtilsTest.ClipGradNorm
2025-12-04T10:37:07.4625979Z [       OK ] NNUtilsTest.ClipGradNorm (12 ms)
2025-12-04T10:37:07.4626396Z [ RUN      ] NNUtilsTest.ClipGradNormErrorIfNonfinite
2025-12-04T10:37:07.7934724Z [       OK ] NNUtilsTest.ClipGradNormErrorIfNonfinite (330 ms)
2025-12-04T10:37:07.7935204Z [ RUN      ] NNUtilsTest.ClipGradValue
2025-12-04T10:37:07.7949227Z [       OK ] NNUtilsTest.ClipGradValue (1 ms)
2025-12-04T10:37:07.7949708Z [ RUN      ] NNUtilsTest.ConvertParameters
2025-12-04T10:37:07.7977076Z [       OK ] NNUtilsTest.ConvertParameters (2 ms)
2025-12-04T10:37:07.7977530Z [ RUN      ] NNUtilsTest.PackSequence
2025-12-04T10:37:08.1573251Z [       OK ] NNUtilsTest.PackSequence (359 ms)
2025-12-04T10:37:08.1573680Z [ RUN      ] NNUtilsTest.PackPaddedSequence
2025-12-04T10:37:08.2061977Z [       OK ] NNUtilsTest.PackPaddedSequence (48 ms)
2025-12-04T10:37:08.2062451Z [ RUN      ] NNUtilsTest.PadSequence
2025-12-04T10:37:08.3459186Z [       OK ] NNUtilsTest.PadSequence (139 ms)
2025-12-04T10:37:08.3459653Z [----------] 7 tests from NNUtilsTest (895 ms total)
2025-12-04T10:37:08.3459910Z 
2025-12-04T10:37:08.3460050Z [----------] 3 tests from PackedSequenceTest
2025-12-04T10:37:08.3460414Z [ RUN      ] PackedSequenceTest.WrongOrder
2025-12-04T10:37:08.3463465Z [       OK ] PackedSequenceTest.WrongOrder (0 ms)
2025-12-04T10:37:08.3463915Z [ RUN      ] PackedSequenceTest.TotalLength
2025-12-04T10:37:08.3513836Z [       OK ] PackedSequenceTest.TotalLength (5 ms)
2025-12-04T10:37:08.3514267Z [ RUN      ] PackedSequenceTest.To
2025-12-04T10:37:08.3522894Z [       OK ] PackedSequenceTest.To (0 ms)
2025-12-04T10:37:08.3523359Z [----------] 3 tests from PackedSequenceTest (6 ms total)
2025-12-04T10:37:08.3523624Z 
2025-12-04T10:37:08.3523746Z [----------] 35 tests from OptimTest
2025-12-04T10:37:08.3524170Z [ RUN      ] OptimTest.OptimizerAccessors
2025-12-04T10:37:08.3544525Z [       OK ] OptimTest.OptimizerAccessors (2 ms)
2025-12-04T10:37:08.3544968Z [ RUN      ] OptimTest.OldInterface
2025-12-04T10:37:08.3556591Z [       OK ] OptimTest.OldInterface (1 ms)
2025-12-04T10:37:08.3557034Z [ RUN      ] OptimTest.XORConvergence_SGD
2025-12-04T10:37:16.3646040Z [       OK ] OptimTest.XORConvergence_SGD (8008 ms)
2025-12-04T10:37:16.3646989Z [ RUN      ] OptimTest.XORConvergence_LBFGS
2025-12-04T10:37:21.8792138Z [       OK ] OptimTest.XORConvergence_LBFGS (5514 ms)
2025-12-04T10:37:21.8792594Z [ RUN      ] OptimTest.XORConvergence_Adagrad
2025-12-04T10:37:25.0195198Z [       OK ] OptimTest.XORConvergence_Adagrad (3140 ms)
2025-12-04T10:37:25.0195643Z [ RUN      ] OptimTest.XORConvergence_RMSprop
2025-12-04T10:37:28.0575224Z [       OK ] OptimTest.XORConvergence_RMSprop (3037 ms)
2025-12-04T10:37:28.0575708Z [ RUN      ] OptimTest.XORConvergence_RMSpropWithMomentum
2025-12-04T10:37:37.8141533Z [       OK ] OptimTest.XORConvergence_RMSpropWithMomentum (9756 ms)
2025-12-04T10:37:37.8142037Z [ RUN      ] OptimTest.XORConvergence_Adam
2025-12-04T10:37:41.0387768Z [       OK ] OptimTest.XORConvergence_Adam (3224 ms)
2025-12-04T10:37:41.0388229Z [ RUN      ] OptimTest.XORConvergence_AdamWithAmsgrad
2025-12-04T10:37:44.3274721Z [       OK ] OptimTest.XORConvergence_AdamWithAmsgrad (3288 ms)
2025-12-04T10:37:44.3275460Z [ RUN      ] OptimTest.ProducesPyTorchValues_Adam
2025-12-04T10:37:45.6447018Z [       OK ] OptimTest.ProducesPyTorchValues_Adam (1317 ms)
2025-12-04T10:37:45.6447534Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay
2025-12-04T10:37:46.9131828Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay (1268 ms)
2025-12-04T10:37:46.9132474Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad
2025-12-04T10:37:48.2289046Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad (1315 ms)
2025-12-04T10:37:48.2289864Z [ RUN      ] OptimTest.XORConvergence_AdamW
2025-12-04T10:37:51.5871734Z [       OK ] OptimTest.XORConvergence_AdamW (3358 ms)
2025-12-04T10:37:51.5872206Z [ RUN      ] OptimTest.XORConvergence_AdamWWithAmsgrad
2025-12-04T10:37:54.9331952Z [       OK ] OptimTest.XORConvergence_AdamWWithAmsgrad (3345 ms)
2025-12-04T10:37:54.9332440Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamW
2025-12-04T10:37:56.2106297Z [       OK ] OptimTest.ProducesPyTorchValues_AdamW (1277 ms)
2025-12-04T10:37:56.2108077Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay
2025-12-04T10:37:57.4475431Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay (1236 ms)
2025-12-04T10:37:57.4476069Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad
2025-12-04T10:37:58.7556093Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad (1308 ms)
2025-12-04T10:37:58.7556630Z [ RUN      ] OptimTest.ProducesPyTorchValues_Adagrad
2025-12-04T10:37:59.8187053Z [       OK ] OptimTest.ProducesPyTorchValues_Adagrad (1063 ms)
2025-12-04T10:37:59.8187715Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay
2025-12-04T10:38:00.8864347Z [       OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay (1067 ms)
2025-12-04T10:38:00.8865006Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay
2025-12-04T10:38:01.9949853Z [       OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay (1108 ms)
2025-12-04T10:38:01.9950483Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSprop
2025-12-04T10:38:03.0829204Z [       OK ] OptimTest.ProducesPyTorchValues_RMSprop (1087 ms)
2025-12-04T10:38:03.0829734Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay
2025-12-04T10:38:04.2275299Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay (1144 ms)
2025-12-04T10:38:04.2275990Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered
2025-12-04T10:38:05.4576353Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered (1230 ms)
2025-12-04T10:38:05.4577133Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum
2025-12-04T10:38:06.6951630Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum (1237 ms)
2025-12-04T10:38:06.6952309Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGD
2025-12-04T10:38:07.6111835Z [       OK ] OptimTest.ProducesPyTorchValues_SGD (915 ms)
2025-12-04T10:38:07.6112681Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay
2025-12-04T10:38:08.5677578Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay (956 ms)
2025-12-04T10:38:08.5678185Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum
2025-12-04T10:38:09.5925848Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum (1024 ms)
2025-12-04T10:38:09.5926814Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum
2025-12-04T10:38:10.6724884Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum (1079 ms)
2025-12-04T10:38:10.6725499Z [ RUN      ] OptimTest.ProducesPyTorchValues_LBFGS
2025-12-04T10:38:11.6894415Z [       OK ] OptimTest.ProducesPyTorchValues_LBFGS (1016 ms)
2025-12-04T10:38:11.6894951Z [ RUN      ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search
2025-12-04T10:38:15.7592721Z [       OK ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search (4069 ms)
2025-12-04T10:38:15.7593492Z [ RUN      ] OptimTest.ZeroGrad
2025-12-04T10:38:15.7601239Z [       OK ] OptimTest.ZeroGrad (0 ms)
2025-12-04T10:38:15.7601625Z [ RUN      ] OptimTest.ExternalVectorOfParameters
2025-12-04T10:38:15.7616504Z [       OK ] OptimTest.ExternalVectorOfParameters (1 ms)
2025-12-04T10:38:15.7616905Z [ RUN      ] OptimTest.AddParameter_LBFGS
2025-12-04T10:38:15.7623336Z [       OK ] OptimTest.AddParameter_LBFGS (0 ms)
2025-12-04T10:38:15.7623714Z [ RUN      ] OptimTest.CheckLRChange_StepLR_Adam
2025-12-04T10:38:15.7624791Z [       OK ] OptimTest.CheckLRChange_StepLR_Adam (0 ms)
2025-12-04T10:38:15.7625539Z [ RUN      ] OptimTest.CheckLRChange_ReduceLROnPlateau_Adam
2025-12-04T10:38:15.7626017Z [       OK ] OptimTest.CheckLRChange_ReduceLROnPlateau_Adam (0 ms)
2025-12-04T10:38:15.7626454Z [----------] 35 tests from OptimTest (67410 ms total)
2025-12-04T10:38:15.7626818Z 
2025-12-04T10:38:15.7626995Z [----------] 29 tests from OrderedDictTest
2025-12-04T10:38:15.7627406Z [ RUN      ] OrderedDictTest.IsEmptyAfterDefaultConstruction
2025-12-04T10:38:15.7628033Z [       OK ] OrderedDictTest.IsEmptyAfterDefaultConstruction (0 ms)
2025-12-04T10:38:15.7628737Z [ RUN      ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent
2025-12-04T10:38:15.7629481Z [       OK ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent (0 ms)
2025-12-04T10:38:15.7630172Z [ RUN      ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent
2025-12-04T10:38:15.7630903Z [       OK ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent (0 ms)
2025-12-04T10:38:15.7631726Z [ RUN      ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent
2025-12-04T10:38:15.7632425Z [       OK ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent (0 ms)
2025-12-04T10:38:15.7633180Z [ RUN      ] OrderedDictTest.CanInitializeFromList
2025-12-04T10:38:15.7633690Z [       OK ] OrderedDictTest.CanInitializeFromList (0 ms)
2025-12-04T10:38:15.7634205Z [ RUN      ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent
2025-12-04T10:38:15.7634831Z [       OK ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent (0 ms)
2025-12-04T10:38:15.7635380Z [ RUN      ] OrderedDictTest.FrontReturnsTheFirstItem
2025-12-04T10:38:15.7635809Z [       OK ] OrderedDictTest.FrontReturnsTheFirstItem (0 ms)
2025-12-04T10:38:15.7636234Z [ RUN      ] OrderedDictTest.FrontThrowsWhenEmpty
2025-12-04T10:38:15.7636627Z [       OK ] OrderedDictTest.FrontThrowsWhenEmpty (0 ms)
2025-12-04T10:38:15.7637036Z [ RUN      ] OrderedDictTest.BackReturnsTheLastItem
2025-12-04T10:38:15.7637463Z [       OK ] OrderedDictTest.BackReturnsTheLastItem (0 ms)
2025-12-04T10:38:15.7637863Z [ RUN      ] OrderedDictTest.BackThrowsWhenEmpty
2025-12-04T10:38:15.7638296Z [       OK ] OrderedDictTest.BackThrowsWhenEmpty (0 ms)
2025-12-04T10:38:15.7638758Z [ RUN      ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent
2025-12-04T10:38:15.7639330Z [       OK ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent (0 ms)
2025-12-04T10:38:15.7640000Z [ RUN      ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent
2025-12-04T10:38:15.7641460Z [       OK ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent (0 ms)
2025-12-04T10:38:15.7642211Z [ RUN      ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent
2025-12-04T10:38:15.7642975Z [       OK ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent (0 ms)
2025-12-04T10:38:15.7643841Z [ RUN      ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers
2025-12-04T10:38:15.7644673Z [       OK ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers (0 ms)
2025-12-04T10:38:15.7645462Z [ RUN      ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent
2025-12-04T10:38:15.7646240Z [       OK ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent (0 ms)
2025-12-04T10:38:15.7647136Z [ RUN      ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict
2025-12-04T10:38:15.7647808Z [       OK ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict (0 ms)
2025-12-04T10:38:15.7648379Z [ RUN      ] OrderedDictTest.UpdateAlsoChecksForDuplicates
2025-12-04T10:38:15.7648865Z [       OK ] OrderedDictTest.UpdateAlsoChecksForDuplicates (0 ms)
2025-12-04T10:38:15.7649305Z [ RUN      ] OrderedDictTest.CanIterateItems
2025-12-04T10:38:15.7649669Z [       OK ] OrderedDictTest.CanIterateItems (0 ms)
2025-12-04T10:38:15.7650036Z [ RUN      ] OrderedDictTest.EraseWorks
2025-12-04T10:38:15.7650383Z [       OK ] OrderedDictTest.EraseWorks (0 ms)
2025-12-04T10:38:15.7650790Z [ RUN      ] OrderedDictTest.ClearMakesTheDictEmpty
2025-12-04T10:38:15.7651209Z [       OK ] OrderedDictTest.ClearMakesTheDictEmpty (0 ms)
2025-12-04T10:38:15.7651616Z [ RUN      ] OrderedDictTest.CanCopyConstruct
2025-12-04T10:38:15.7651985Z [       OK ] OrderedDictTest.CanCopyConstruct (0 ms)
2025-12-04T10:38:15.7652363Z [ RUN      ] OrderedDictTest.CanCopyAssign
2025-12-04T10:38:15.7652725Z [       OK ] OrderedDictTest.CanCopyAssign (0 ms)
2025-12-04T10:38:15.7653101Z [ RUN      ] OrderedDictTest.CanMoveConstruct
2025-12-04T10:38:15.7653468Z [       OK ] OrderedDictTest.CanMoveConstruct (0 ms)
2025-12-04T10:38:15.7653838Z [ RUN      ] OrderedDictTest.CanMoveAssign
2025-12-04T10:38:15.7654196Z [       OK ] OrderedDictTest.CanMoveAssign (0 ms)
2025-12-04T10:38:15.7654563Z [ RUN      ] OrderedDictTest.CanInsertWithBraces
2025-12-04T10:38:15.7654961Z [       OK ] OrderedDictTest.CanInsertWithBraces (0 ms)
2025-12-04T10:38:15.7655430Z [ RUN      ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription
2025-12-04T10:38:15.7655974Z [       OK ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription (0 ms)
2025-12-04T10:38:15.7656463Z [ RUN      ] OrderedDictTest.KeysReturnsAllKeys
2025-12-04T10:38:15.7656857Z [       OK ] OrderedDictTest.KeysReturnsAllKeys (0 ms)
2025-12-04T10:38:15.7657264Z [ RUN      ] OrderedDictTest.ValuesReturnsAllValues
2025-12-04T10:38:15.7657670Z [       OK ] OrderedDictTest.ValuesReturnsAllValues (0 ms)
2025-12-04T10:38:15.7658083Z [ RUN      ] OrderedDictTest.ItemsReturnsAllItems
2025-12-04T10:38:15.7658490Z [       OK ] OrderedDictTest.ItemsReturnsAllItems (0 ms)
2025-12-04T10:38:15.7658880Z [----------] 29 tests from OrderedDictTest (0 ms total)
2025-12-04T10:38:15.7659137Z 
2025-12-04T10:38:15.7659234Z [----------] 14 tests from RNNTest
2025-12-04T10:38:15.7659544Z [ RUN      ] RNNTest.CheckOutputSizes
2025-12-04T10:38:15.8580154Z [       OK ] RNNTest.CheckOutputSizes (94 ms)
2025-12-04T10:38:15.8580536Z [ RUN      ] RNNTest.CheckOutputSizesProj
2025-12-04T10:38:15.8612878Z [W1204 10:38:15.536452611 RNN.cpp:1481] Warning: LSTM with projections is not supported with oneDNN. Using default implementation. (function operator())
2025-12-04T10:38:15.8960034Z [       OK ] RNNTest.CheckOutputSizesProj (38 ms)
2025-12-04T10:38:15.8960439Z [ RUN      ] RNNTest.CheckOutputValuesMatchPyTorch
2025-12-04T10:38:15.9003330Z [       OK ] RNNTest.CheckOutputValuesMatchPyTorch (4 ms)
2025-12-04T10:38:15.9003723Z [ RUN      ] RNNTest.EndToEndLSTM
2025-12-04T10:38:21.2918149Z [       OK ] RNNTest.EndToEndLSTM (5391 ms)
2025-12-04T10:38:21.2918561Z [ RUN      ] RNNTest.EndToEndLSTMProj
2025-12-04T10:38:31.8813933Z [       OK ] RNNTest.EndToEndLSTMProj (10589 ms)
2025-12-04T10:38:31.8814329Z [ RUN      ] RNNTest.EndToEndGRU
2025-12-04T10:38:40.9767994Z [       OK ] RNNTest.EndToEndGRU (9095 ms)
2025-12-04T10:38:40.9768661Z [ RUN      ] RNNTest.EndToEndRNNRelu
2025-12-04T10:38:45.8502877Z [       OK ] RNNTest.EndToEndRNNRelu (4873 ms)
2025-12-04T10:38:45.8503296Z [ RUN      ] RNNTest.EndToEndRNNTanh
2025-12-04T10:38:51.0186473Z [       OK ] RNNTest.EndToEndRNNTanh (5168 ms)
2025-12-04T10:38:51.0186951Z [ RUN      ] RNNTest.PrettyPrintRNNs
2025-12-04T10:38:51.0286174Z [       OK ] RNNTest.PrettyPrintRNNs (10 ms)
2025-12-04T10:38:51.0286573Z [ RUN      ] RNNTest.BidirectionalFlattenParameters
2025-12-04T10:38:51.0783982Z [       OK ] RNNTest.BidirectionalFlattenParameters (49 ms)
2025-12-04T10:38:51.0784419Z [ RUN      ] RNNTest.BidirectionalGRUReverseForward
2025-12-04T10:38:51.0883732Z [       OK ] RNNTest.BidirectionalGRUReverseForward (9 ms)
2025-12-04T10:38:51.0884191Z [ RUN      ] RNNTest.BidirectionalLSTMReverseForward
2025-12-04T10:38:51.1030823Z [       OK ] RNNTest.BidirectionalLSTMReverseForward (14 ms)
2025-12-04T10:38:51.1031266Z [ RUN      ] RNNTest.UsePackedSequenceAsInput
2025-12-04T10:38:51.1171740Z [       OK ] RNNTest.UsePackedSequenceAsInput (14 ms)
2025-12-04T10:38:51.1172121Z [ RUN      ] RNNTest.CheckErrorInfos
2025-12-04T10:38:51.1175212Z [       OK ] RNNTest.CheckErrorInfos (0 ms)
2025-12-04T10:38:51.1175750Z [----------] 14 tests from RNNTest (35354 ms total)
2025-12-04T10:38:51.1175996Z 
2025-12-04T10:38:51.1176114Z [----------] 19 tests from SequentialTest
2025-12-04T10:38:51.1176472Z [ RUN      ] SequentialTest.CanContainThings
2025-12-04T10:38:51.1178082Z [       OK ] SequentialTest.CanContainThings (0 ms)
2025-12-04T10:38:51.1178709Z [ RUN      ] SequentialTest.ConstructsFromSharedPointer
2025-12-04T10:38:51.1179282Z [       OK ] SequentialTest.ConstructsFromSharedPointer (0 ms)
2025-12-04T10:38:51.1179848Z [ RUN      ] SequentialTest.ConstructsFromConcreteType
2025-12-04T10:38:51.1180387Z [       OK ] SequentialTest.ConstructsFromConcreteType (0 ms)
2025-12-04T10:38:51.1180826Z [ RUN      ] SequentialTest.ConstructsFromModuleHolder
2025-12-04T10:38:51.1181276Z [       OK ] SequentialTest.ConstructsFromModuleHolder (0 ms)
2025-12-04T10:38:51.1181718Z [ RUN      ] SequentialTest.PushBackAddsAnElement
2025-12-04T10:38:51.1183234Z [       OK ] SequentialTest.PushBackAddsAnElement (0 ms)
2025-12-04T10:38:51.1183620Z [ RUN      ] SequentialTest.AccessWithAt
2025-12-04T10:38:51.1184237Z [       OK ] SequentialTest.AccessWithAt (0 ms)
2025-12-04T10:38:51.1184614Z [ RUN      ] SequentialTest.AccessWithPtr
2025-12-04T10:38:51.1185519Z [       OK ] SequentialTest.AccessWithPtr (0 ms)
2025-12-04T10:38:51.1186103Z [ RUN      ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed
2025-12-04T10:38:51.1187010Z [       OK ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed (0 ms)
2025-12-04T10:38:51.1187677Z [ RUN      ] SequentialTest.CallingForwardChainsCorrectly
2025-12-04T10:38:51.1188240Z [       OK ] SequentialTest.CallingForwardChainsCorrectly (0 ms)
2025-12-04T10:38:51.1188836Z [ RUN      ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows
2025-12-04T10:38:51.1189590Z [       OK ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows (0 ms)
2025-12-04T10:38:51.1190180Z [ RUN      ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor
2025-12-04T10:38:51.1190733Z [       OK ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor (0 ms)
2025-12-04T10:38:51.1191244Z [ RUN      ] SequentialTest.ForwardReturnsTheLastValue
2025-12-04T10:38:51.1201970Z [       OK ] SequentialTest.ForwardReturnsTheLastValue (1 ms)
2025-12-04T10:38:51.1202450Z [ RUN      ] SequentialTest.SanityCheckForHoldingStandardModules
2025-12-04T10:38:51.1212658Z [       OK ] SequentialTest.SanityCheckForHoldingStandardModules (1 ms)
2025-12-04T10:38:51.1213309Z [ RUN      ] SequentialTest.ExtendPushesModulesFromOtherSequential
2025-12-04T10:38:51.1214003Z [       OK ] SequentialTest.ExtendPushesModulesFromOtherSequential (0 ms)
2025-12-04T10:38:51.1214687Z [ RUN      ] SequentialTest.HasReferenceSemantics
2025-12-04T10:38:51.1215116Z [       OK ] SequentialTest.HasReferenceSemantics (0 ms)
2025-12-04T10:38:51.1215578Z [ RUN      ] SequentialTest.IsCloneable
2025-12-04T10:38:51.1239602Z [       OK ] SequentialTest.IsCloneable (2 ms)
2025-12-04T10:38:51.1240008Z [ RUN      ] SequentialTest.RegistersElementsAsSubmodules
2025-12-04T10:38:51.1243308Z [       OK ] SequentialTest.RegistersElementsAsSubmodules (0 ms)
2025-12-04T10:38:51.1243760Z [ RUN      ] SequentialTest.PrettyPrintSequential
2025-12-04T10:38:51.1262452Z [       OK ] SequentialTest.PrettyPrintSequential (1 ms)
2025-12-04T10:38:51.1262909Z [ RUN      ] SequentialTest.ModuleForwardMethodOptionalArg
2025-12-04T10:38:51.1593734Z [       OK ] SequentialTest.ModuleForwardMethodOptionalArg (33 ms)
2025-12-04T10:38:51.1594391Z [----------] 19 tests from SequentialTest (41 ms total)
2025-12-04T10:38:51.1594645Z 
2025-12-04T10:38:51.1594767Z [----------] 11 tests from TransformerTest
2025-12-04T10:38:51.1595149Z [ RUN      ] TransformerTest.TransformerEncoderLayer
2025-12-04T10:38:51.2111916Z [       OK ] TransformerTest.TransformerEncoderLayer (51 ms)
2025-12-04T10:38:51.2112413Z [ RUN      ] TransformerTest.TransformerDecoderLayer
2025-12-04T10:38:51.2715555Z [       OK ] TransformerTest.TransformerDecoderLayer (60 ms)
2025-12-04T10:38:51.2716229Z [ RUN      ] TransformerTest.TransformerDecoderLayer_gelu
2025-12-04T10:38:51.3002338Z [       OK ] TransformerTest.TransformerDecoderLayer_gelu (28 ms)
2025-12-04T10:38:51.4031228Z [ RUN      ] TransformerTest.TransformerEncoder
2025-12-04T10:38:51.4031661Z [       OK ] TransformerTest.TransformerEncoder (102 ms)
2025-12-04T10:38:51.4032140Z [ RUN      ] TransformerTest.PrettyPrintTransformerEncoderLayer
2025-12-04T10:38:51.4039350Z [       OK ] TransformerTest.PrettyPrintTransformerEncoderLayer (0 ms)
2025-12-04T10:38:51.4039897Z [ RUN      ] TransformerTest.PrettyPrintTransformerEncoder
2025-12-04T10:38:51.4078200Z [       OK ] TransformerTest.PrettyPrintTransformerEncoder (3 ms)
2025-12-04T10:38:51.4078714Z [ RUN      ] TransformerTest.PrettyPrintTransformerDecoderLayer
2025-12-04T10:38:51.4088673Z [       OK ] TransformerTest.PrettyPrintTransformerDecoderLayer (1 ms)
2025-12-04T10:38:51.4089159Z [ RUN      ] TransformerTest.TransformerDecoder
2025-12-04T10:38:51.7027425Z [       OK ] TransformerTest.TransformerDecoder (293 ms)
2025-12-04T10:38:51.7027919Z [ RUN      ] TransformerTest.PrettyPrintTransformerDecoder
2025-12-04T10:38:51.7073895Z [       OK ] TransformerTest.PrettyPrintTransformerDecoder (4 ms)
2025-12-04T10:38:51.7074346Z [ RUN      ] TransformerTest.Transformer
2025-12-04T10:38:51.8110832Z [       OK ] TransformerTest.Transformer (103 ms)
2025-12-04T10:38:51.8111267Z [ RUN      ] TransformerTest.TransformerArgsCorrectness
2025-12-04T10:38:51.8152129Z [       OK ] TransformerTest.TransformerArgsCorrectness (4 ms)
2025-12-04T10:38:51.8152602Z [----------] 11 tests from TransformerTest (655 ms total)
2025-12-04T10:38:51.8152859Z 
2025-12-04T10:38:51.8152988Z [----------] 23 tests from SerializeTest
2025-12-04T10:38:51.8153317Z [ RUN      ] SerializeTest.KeysFunc
2025-12-04T10:38:51.8188656Z [       OK ] SerializeTest.KeysFunc (3 ms)
2025-12-04T10:38:51.8189039Z [ RUN      ] SerializeTest.TryReadFunc
2025-12-04T10:38:51.8209905Z [       OK ] SerializeTest.TryReadFunc (2 ms)
2025-12-04T10:38:51.8210252Z [ RUN      ] SerializeTest.Basic
2025-12-04T10:38:51.8234942Z [       OK ] SerializeTest.Basic (2 ms)
2025-12-04T10:38:51.8235298Z [ RUN      ] SerializeTest.MathBits
2025-12-04T10:38:51.8312485Z [       OK ] SerializeTest.MathBits (7 ms)
2025-12-04T10:38:51.8312839Z [ RUN      ] SerializeTest.BasicToFile
2025-12-04T10:38:51.8338809Z [       OK ] SerializeTest.BasicToFile (2 ms)
2025-12-04T10:38:51.8339177Z [ RUN      ] SerializeTest.BasicViaFunc
2025-12-04T10:38:51.8378483Z [       OK ] SerializeTest.BasicViaFunc (3 ms)
2025-12-04T10:38:51.8378869Z [ RUN      ] SerializeTest.Resized
2025-12-04T10:38:51.8391365Z [       OK ] SerializeTest.Resized (1 ms)
2025-12-04T10:38:51.8391720Z [ RUN      ] SerializeTest.Sliced
2025-12-04T10:38:51.8403907Z [       OK ] SerializeTest.Sliced (1 ms)
2025-12-04T10:38:51.8404419Z [ RUN      ] SerializeTest.NonContiguous
2025-12-04T10:38:51.8417509Z [       OK ] SerializeTest.NonContiguous (1 ms)
2025-12-04T10:38:51.8417889Z [ RUN      ] SerializeTest.ErrorOnMissingKey
2025-12-04T10:38:51.8471943Z [       OK ] SerializeTest.ErrorOnMissingKey (5 ms)
2025-12-04T10:38:51.8472351Z [ RUN      ] SerializeTest.XOR
2025-12-04T10:38:53.0412908Z [       OK ] SerializeTest.XOR (1193 ms)
2025-12-04T10:38:53.0413309Z [ RUN      ] SerializeTest.Optim
2025-12-04T10:38:53.0589767Z [       OK ] SerializeTest.Optim (17 ms)
2025-12-04T10:38:53.0590128Z [ RUN      ] SerializeTest.Optim_Adagrad
2025-12-04T10:38:53.0801101Z [       OK ] SerializeTest.Optim_Adagrad (21 ms)
2025-12-04T10:38:53.0801647Z [ RUN      ] SerializeTest.Optim_SGD
2025-12-04T10:38:53.0989432Z [       OK ] SerializeTest.Optim_SGD (18 ms)
2025-12-04T10:38:53.0989795Z [ RUN      ] SerializeTest.Optim_Adam
2025-12-04T10:38:53.1226612Z [       OK ] SerializeTest.Optim_Adam (23 ms)
2025-12-04T10:38:53.1227007Z [ RUN      ] SerializeTest.Optim_AdamW
2025-12-04T10:38:53.1469881Z [       OK ] SerializeTest.Optim_AdamW (24 ms)
2025-12-04T10:38:53.1470240Z [ RUN      ] SerializeTest.Optim_RMSprop
2025-12-04T10:38:53.1818545Z [       OK ] SerializeTest.Optim_RMSprop (34 ms)
2025-12-04T10:38:53.1819043Z [ RUN      ] SerializeTest.Optim_LBFGS
2025-12-04T10:38:53.2053668Z [       OK ] SerializeTest.Optim_LBFGS (23 ms)
2025-12-04T10:38:53.2054315Z [ RUN      ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers
2025-12-04T10:38:53.2092916Z [       OK ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers (3 ms)
2025-12-04T10:38:53.2093603Z [ RUN      ] SerializeTest.VectorOfTensors
2025-12-04T10:38:53.2117589Z [       OK ] SerializeTest.VectorOfTensors (2 ms)
2025-12-04T10:38:53.2117950Z [ RUN      ] SerializeTest.IValue
2025-12-04T10:38:53.2135801Z [       OK ] SerializeTest.IValue (1 ms)
2025-12-04T10:38:53.2136323Z [ RUN      ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule
2025-12-04T10:38:53.2151174Z [       OK ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule (1 ms)
2025-12-04T10:38:53.2151840Z [ RUN      ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule
2025-12-04T10:38:53.2201917Z [       OK ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule (5 ms)
2025-12-04T10:38:53.2202490Z [----------] 23 tests from SerializeTest (1404 ms total)
2025-12-04T10:38:53.2202807Z 
2025-12-04T10:38:53.2202964Z [----------] 1 test from SpecialTest
2025-12-04T10:38:53.2203267Z [ RUN      ] SpecialTest.special
2025-12-04T10:38:53.2203964Z [       OK ] SpecialTest.special (0 ms)
2025-12-04T10:38:53.2204393Z [----------] 1 test from SpecialTest (0 ms total)
2025-12-04T10:38:53.2204671Z 
2025-12-04T10:38:53.2204816Z [----------] 3 tests from TestStatic
2025-12-04T10:38:53.2205200Z [ RUN      ] TestStatic.EnableIfModule
2025-12-04T10:38:53.2205557Z [       OK ] TestStatic.EnableIfModule (0 ms)
2025-12-04T10:38:53.2205927Z [ RUN      ] TestStatic.ReturnTypeOfForward
2025-12-04T10:38:53.2206301Z [       OK ] TestStatic.ReturnTypeOfForward (0 ms)
2025-12-04T10:38:53.2206664Z [ RUN      ] TestStatic.Apply
2025-12-04T10:38:53.2206962Z [       OK ] TestStatic.Apply (0 ms)
2025-12-04T10:38:53.2207298Z [----------] 3 tests from TestStatic (0 ms total)
2025-12-04T10:38:53.2207550Z 
2025-12-04T10:38:53.2207652Z [----------] 48 tests from TensorTest
2025-12-04T10:38:53.2207963Z [ RUN      ] TensorTest.ToDtype
2025-12-04T10:38:53.2228905Z [       OK ] TensorTest.ToDtype (2 ms)
2025-12-04T10:38:53.2229296Z [ RUN      ] TensorTest.ToTensorAndTensorAttributes
2025-12-04T10:38:53.2230319Z [       OK ] TensorTest.ToTensorAndTensorAttributes (0 ms)
2025-12-04T10:38:53.2230894Z [ RUN      ] TensorTest.TensorAttributes
2025-12-04T10:38:53.2231243Z [       OK ] TensorTest.TensorAttributes (0 ms)
2025-12-04T10:38:53.2231648Z [ RUN      ] TensorTest.ToOptionsWithRequiresGrad
2025-12-04T10:38:53.2233276Z [       OK ] TensorTest.ToOptionsWithRequiresGrad (0 ms)
2025-12-04T10:38:53.2233815Z [ RUN      ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame
2025-12-04T10:38:53.2234317Z [       OK ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame (0 ms)
2025-12-04T10:38:53.2234778Z [ RUN      ] TensorTest.AtTensorCtorScalar
2025-12-04T10:38:53.2239276Z [       OK ] TensorTest.AtTensorCtorScalar (0 ms)
2025-12-04T10:38:53.2239649Z [ RUN      ] TensorTest.AtTensorCtorSingleDim
2025-12-04T10:38:53.2248360Z [       OK ] TensorTest.AtTensorCtorSingleDim (0 ms)
2025-12-04T10:38:53.2248788Z [ RUN      ] TensorTest.AtTensorCastRealToComplex
2025-12-04T10:38:53.2250569Z [       OK ] TensorTest.AtTensorCastRealToComplex (0 ms)
2025-12-04T10:38:53.2251073Z [ RUN      ] TensorTest.AtTensorCastComplexToRealErrorChecks
2025-12-04T10:38:53.2264517Z [       OK ] TensorTest.AtTensorCastComplexToRealErrorChecks (1 ms)
2025-12-04T10:38:53.2265021Z [ RUN      ] TensorTest.TorchTensorCtorScalarIntegralType
2025-12-04T10:38:53.2265486Z [       OK ] TensorTest.TorchTensorCtorScalarIntegralType (0 ms)
2025-12-04T10:38:53.2265966Z [ RUN      ] TensorTest.TorchTensorCtorScalarFloatingType
2025-12-04T10:38:53.2266442Z [       OK ] TensorTest.TorchTensorCtorScalarFloatingType (0 ms)
2025-12-04T10:38:53.2267077Z [ RUN      ] TensorTest.TorchTensorCtorScalarBoolType
2025-12-04T10:38:53.2267518Z [       OK ] TensorTest.TorchTensorCtorScalarBoolType (0 ms)
2025-12-04T10:38:53.2267988Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimIntegralType
2025-12-04T10:38:53.2271345Z [       OK ] TensorTest.TorchTensorCtorSingleDimIntegralType (0 ms)
2025-12-04T10:38:53.2271849Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimFloatingType
2025-12-04T10:38:53.2278716Z [       OK ] TensorTest.TorchTensorCtorSingleDimFloatingType (0 ms)
2025-12-04T10:38:53.2279207Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimBoolType
2025-12-04T10:38:53.2281266Z [       OK ] TensorTest.TorchTensorCtorSingleDimBoolType (0 ms)
2025-12-04T10:38:53.2322408Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimIntegralType
2025-12-04T10:38:53.2322922Z [       OK ] TensorTest.TorchTensorCtorMultiDimIntegralType (4 ms)
2025-12-04T10:38:53.2323424Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimFloatingType
2025-12-04T10:38:53.2344459Z [       OK ] TensorTest.TorchTensorCtorMultiDimFloatingType (2 ms)
2025-12-04T10:38:53.2344962Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimBoolType
2025-12-04T10:38:53.2348321Z [       OK ] TensorTest.TorchTensorCtorMultiDimBoolType (0 ms)
2025-12-04T10:38:53.2348800Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimWithOptions
2025-12-04T10:38:53.2358135Z [       OK ] TensorTest.TorchTensorCtorMultiDimWithOptions (0 ms)
2025-12-04T10:38:53.2358624Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimErrorChecks
2025-12-04T10:38:53.2359984Z [       OK ] TensorTest.TorchTensorCtorMultiDimErrorChecks (0 ms)
2025-12-04T10:38:53.2360495Z [ RUN      ] TensorTest.TorchTensorCastRealToComplex
2025-12-04T10:38:53.2362964Z [       OK ] TensorTest.TorchTensorCastRealToComplex (0 ms)
2025-12-04T10:38:53.2363448Z [ RUN      ] TensorTest.TorchTensorCastComplexToRealErrorChecks
2025-12-04T10:38:53.2365725Z [W1204 10:38:53.911805678 Copy.cpp:308] Warning: Casting complex values to real discards the imaginary part (function operator())
2025-12-04T10:38:53.2366614Z [       OK ] TensorTest.TorchTensorCastComplexToRealErrorChecks (0 ms)
2025-12-04T10:38:53.2367086Z [ RUN      ] TensorTest.TorchTensorCtorZeroSizedDim
2025-12-04T10:38:53.2374670Z [       OK ] TensorTest.TorchTensorCtorZeroSizedDim (0 ms)
2025-12-04T10:38:53.2375173Z [ RUN      ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype
2025-12-04T10:38:53.2379709Z [       OK ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype (0 ms)
2025-12-04T10:38:53.2380207Z [ RUN      ] TensorTest.TorchTensorCtorWithNonDtypeOptions
2025-12-04T10:38:53.2384066Z [       OK ] TensorTest.TorchTensorCtorWithNonDtypeOptions (0 ms)
2025-12-04T10:38:53.2384617Z [ RUN      ] TensorTest.Arange
2025-12-04T10:38:53.2384915Z [       OK ] TensorTest.Arange (0 ms)
2025-12-04T10:38:53.2385295Z [ RUN      ] TensorTest.PrettyPrintTensorDataContainer
2025-12-04T10:38:53.2386986Z [       OK ] TensorTest.PrettyPrintTensorDataContainer (0 ms)
2025-12-04T10:38:53.2387509Z [ RUN      ] TensorTest.TensorDataContainerCallingAccessorOfWrongType
2025-12-04T10:38:53.2389350Z [       OK ] TensorTest.TensorDataContainerCallingAccessorOfWrongType (0 ms)
2025-12-04T10:38:53.2389836Z [ RUN      ] TensorTest.FromBlob
2025-12-04T10:38:53.2391289Z [       OK ] TensorTest.FromBlob (0 ms)
2025-12-04T10:38:53.2391684Z [ RUN      ] TensorTest.FromBlobUsesDeleter
2025-12-04T10:38:53.2392068Z [       OK ] TensorTest.FromBlobUsesDeleter (0 ms)
2025-12-04T10:38:53.2392456Z [ RUN      ] TensorTest.FromBlobWithStrides
2025-12-04T10:38:53.2396172Z [       OK ] TensorTest.FromBlobWithStrides (0 ms)
2025-12-04T10:38:53.2396527Z [ RUN      ] TensorTest.Item
2025-12-04T10:38:53.2396833Z [       OK ] TensorTest.Item (0 ms)
2025-12-04T10:38:53.2397191Z [ RUN      ] TensorTest.DataPtr
2025-12-04T10:38:53.2397513Z [       OK ] TensorTest.DataPtr (0 ms)
2025-12-04T10:38:53.2397841Z [ RUN      ] TensorTest.Data
2025-12-04T10:38:53.2398140Z [       OK ] TensorTest.Data (0 ms)
2025-12-04T10:38:53.2398467Z [ RUN      ] TensorTest.BackwardAndGrad
2025-12-04T10:38:53.2401254Z [       OK ] TensorTest.BackwardAndGrad (0 ms)
2025-12-04T10:38:53.2401642Z [ RUN      ] TensorTest.BackwardCreatesOnesGrad
2025-12-04T10:38:53.2403390Z [       OK ] TensorTest.BackwardCreatesOnesGrad (0 ms)
2025-12-04T10:38:53.2403783Z [ RUN      ] TensorTest.BackwardNonScalarOutputs
2025-12-04T10:38:53.2405430Z [       OK ] TensorTest.BackwardNonScalarOutputs (0 ms)
2025-12-04T10:38:53.2405849Z [ RUN      ] TensorTest.BackwardComplexScalarOutput
2025-12-04T10:38:53.2408665Z [       OK ] TensorTest.BackwardComplexScalarOutput (0 ms)
2025-12-04T10:38:53.2409041Z [ RUN      ] TensorTest.IsLeaf
2025-12-04T10:38:53.2409618Z [       OK ] TensorTest.IsLeaf (0 ms)
2025-12-04T10:38:53.2409944Z [ RUN      ] TensorTest.OutputNr
2025-12-04T10:38:53.2410665Z [       OK ] TensorTest.OutputNr (0 ms)
2025-12-04T10:38:53.2410997Z [ RUN      ] TensorTest.Version
2025-12-04T10:38:53.2412177Z [       OK ] TensorTest.Version (0 ms)
2025-12-04T10:38:53.2412502Z [ RUN      ] TensorTest.Detach
2025-12-04T10:38:53.2413066Z [       OK ] TensorTest.Detach (0 ms)
2025-12-04T10:38:53.2413396Z [ RUN      ] TensorTest.DetachInplace
2025-12-04T10:38:53.2413948Z [       OK ] TensorTest.DetachInplace (0 ms)
2025-12-04T10:38:53.2414270Z [ RUN      ] TensorTest.SetData
2025-12-04T10:38:53.2414932Z [       OK ] TensorTest.SetData (0 ms)
2025-12-04T10:38:53.2415407Z [ RUN      ] TensorTest.RequiresGradInplace
2025-12-04T10:38:53.2417329Z [       OK ] TensorTest.RequiresGradInplace (0 ms)
2025-12-04T10:38:53.2417787Z [ RUN      ] TensorTest.StdDimension
2025-12-04T10:38:53.2423987Z [       OK ] TensorTest.StdDimension (0 ms)
2025-12-04T10:38:53.2424405Z [ RUN      ] TensorTest.ReshapeAlias
2025-12-04T10:38:53.2437083Z [       OK ] TensorTest.ReshapeAlias (1 ms)
2025-12-04T10:38:53.2437487Z [ RUN      ] TensorTest.BackendMetadata
2025-12-04T10:38:53.2437898Z [       OK ] TensorTest.BackendMetadata (0 ms)
2025-12-04T10:38:53.2438288Z [----------] 48 tests from TensorTest (23 ms total)
2025-12-04T10:38:53.2438545Z 
2025-12-04T10:38:53.2438667Z [----------] 36 tests from TensorIndexingTest
2025-12-04T10:38:53.2439027Z [ RUN      ] TensorIndexingTest.Slice
2025-12-04T10:38:53.2439368Z [       OK ] TensorIndexingTest.Slice (0 ms)
2025-12-04T10:38:53.2439715Z [ RUN      ] TensorIndexingTest.TensorIndex
2025-12-04T10:38:53.2441040Z [       OK ] TensorIndexingTest.TensorIndex (0 ms)
2025-12-04T10:38:53.2441499Z [ RUN      ] TensorIndexingTest.TestNoIndices
2025-12-04T10:38:53.2444948Z [       OK ] TensorIndexingTest.TestNoIndices (0 ms)
2025-12-04T10:38:53.2445617Z [ RUN      ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor
2025-12-04T10:38:53.2459694Z [       OK ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor (1 ms)
2025-12-04T10:38:53.2460319Z [ RUN      ] TensorIndexingTest.TestSingleInt
2025-12-04T10:38:53.2460740Z [       OK ] TensorIndexingTest.TestSingleInt (0 ms)
2025-12-04T10:38:53.2461282Z [ RUN      ] TensorIndexingTest.TestMultipleInt
2025-12-04T10:38:53.2462831Z [       OK ] TensorIndexingTest.TestMultipleInt (0 ms)
2025-12-04T10:38:53.2463229Z [ RUN      ] TensorIndexingTest.TestNone
2025-12-04T10:38:53.2463803Z [       OK ] TensorIndexingTest.TestNone (0 ms)
2025-12-04T10:38:53.2464178Z [ RUN      ] TensorIndexingTest.TestStep
2025-12-04T10:38:53.2469509Z [       OK ] TensorIndexingTest.TestStep (0 ms)
2025-12-04T10:38:53.2469889Z [ RUN      ] TensorIndexingTest.TestStepAssignment
2025-12-04T10:38:53.2475054Z [       OK ] TensorIndexingTest.TestStepAssignment (0 ms)
2025-12-04T10:38:53.2475565Z [ RUN      ] TensorIndexingTest.TestBoolIndices
2025-12-04T10:38:53.2488780Z [       OK ] TensorIndexingTest.TestBoolIndices (1 ms)
2025-12-04T10:38:53.2489213Z [ RUN      ] TensorIndexingTest.TestBoolIndicesAccumulate
2025-12-04T10:38:53.2492155Z [       OK ] TensorIndexingTest.TestBoolIndicesAccumulate (0 ms)
2025-12-04T10:38:53.2492626Z [ RUN      ] TensorIndexingTest.TestMultipleBoolIndices
2025-12-04T10:38:53.2495478Z [       OK ] TensorIndexingTest.TestMultipleBoolIndices (0 ms)
2025-12-04T10:38:53.2495911Z [ RUN      ] TensorIndexingTest.TestByteMask
2025-12-04T10:38:53.2503702Z [       OK ] TensorIndexingTest.TestByteMask (0 ms)
2025-12-04T10:38:53.2504135Z [ RUN      ] TensorIndexingTest.TestByteMaskAccumulate
2025-12-04T10:38:53.2507219Z [       OK ] TensorIndexingTest.TestByteMaskAccumulate (0 ms)
2025-12-04T10:38:53.2507668Z [ RUN      ] TensorIndexingTest.TestMultipleByteMask
2025-12-04T10:38:53.2510776Z [       OK ] TensorIndexingTest.TestMultipleByteMask (0 ms)
2025-12-04T10:38:53.2511206Z [ RUN      ] TensorIndexingTest.TestByteMask2d
2025-12-04T10:38:53.2514570Z [       OK ] TensorIndexingTest.TestByteMask2d (0 ms)
2025-12-04T10:38:53.2514966Z [ RUN      ] TensorIndexingTest.TestIntIndices
2025-12-04T10:38:53.2519290Z [       OK ] TensorIndexingTest.TestIntIndices (0 ms)
2025-12-04T10:38:53.2519691Z [ RUN      ] TensorIndexingTest.TestIntIndices2d
2025-12-04T10:38:53.2523279Z [       OK ] TensorIndexingTest.TestIntIndices2d (0 ms)
2025-12-04T10:38:53.2523707Z [ RUN      ] TensorIndexingTest.TestIntIndicesBroadcast
2025-12-04T10:38:53.2526657Z [       OK ] TensorIndexingTest.TestIntIndicesBroadcast (0 ms)
2025-12-04T10:38:53.2527079Z [ RUN      ] TensorIndexingTest.TestEmptyIndex
2025-12-04T10:38:53.2529800Z [       OK ] TensorIndexingTest.TestEmptyIndex (0 ms)
2025-12-04T10:38:53.2530209Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndex
2025-12-04T10:38:53.2536176Z [       OK ] TensorIndexingTest.TestEmptyNdimIndex (0 ms)
2025-12-04T10:38:53.2536597Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndexBool
2025-12-04T10:38:53.2537337Z [       OK ] TensorIndexingTest.TestEmptyNdimIndexBool (0 ms)
2025-12-04T10:38:53.2537769Z [ RUN      ] TensorIndexingTest.TestEmptySlice
2025-12-04T10:38:53.2538515Z [       OK ] TensorIndexingTest.TestEmptySlice (0 ms)
2025-12-04T10:38:53.2538962Z [ RUN      ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices
2025-12-04T10:38:53.2546868Z [       OK ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices (0 ms)
2025-12-04T10:38:53.2547417Z [ RUN      ] TensorIndexingTest.TestIndexSetitemBoolsSlices
2025-12-04T10:38:53.2567696Z [       OK ] TensorIndexingTest.TestIndexSetitemBoolsSlices (2 ms)
2025-12-04T10:38:53.2568182Z [ RUN      ] TensorIndexingTest.TestIndexScalarWithBoolMask
2025-12-04T10:38:53.2576801Z [       OK ] TensorIndexingTest.TestIndexScalarWithBoolMask (0 ms)
2025-12-04T10:38:53.2577335Z [ RUN      ] TensorIndexingTest.TestSetitemExpansionError
2025-12-04T10:38:53.2581042Z [       OK ] TensorIndexingTest.TestSetitemExpansionError (0 ms)
2025-12-04T10:38:53.2581497Z [ RUN      ] TensorIndexingTest.TestGetitemScalars
2025-12-04T10:38:53.2594812Z [       OK ] TensorIndexingTest.TestGetitemScalars (1 ms)
2025-12-04T10:38:53.2595263Z [ RUN      ] TensorIndexingTest.TestSetitemScalars
2025-12-04T10:38:53.2608306Z [       OK ] TensorIndexingTest.TestSetitemScalars (1 ms)
2025-12-04T10:38:53.2608764Z [ RUN      ] TensorIndexingTest.TestBasicAdvancedCombined
2025-12-04T10:38:53.2617008Z [       OK ] TensorIndexingTest.TestBasicAdvancedCombined (0 ms)
2025-12-04T10:38:53.2617499Z [ RUN      ] TensorIndexingTest.TestIntAssignment
2025-12-04T10:38:53.2621199Z [       OK ] TensorIndexingTest.TestIntAssignment (0 ms)
2025-12-04T10:38:53.2621632Z [ RUN      ] TensorIndexingTest.TestByteTensorAssignment
2025-12-04T10:38:53.2628597Z [       OK ] TensorIndexingTest.TestByteTensorAssignment (0 ms)
2025-12-04T10:38:53.2629033Z [ RUN      ] TensorIndexingTest.TestVariableSlicing
2025-12-04T10:38:53.2630478Z [       OK ] TensorIndexingTest.TestVariableSlicing (0 ms)
2025-12-04T10:38:53.2635275Z [ RUN      ] TensorIndexingTest.TestEllipsisTensor
2025-12-04T10:38:53.2635700Z [       OK ] TensorIndexingTest.TestEllipsisTensor (0 ms)
2025-12-04T10:38:53.2636110Z [ RUN      ] TensorIndexingTest.TestOutOfBoundIndex
2025-12-04T10:38:53.2639192Z [       OK ] TensorIndexingTest.TestOutOfBoundIndex (0 ms)
2025-12-04T10:38:53.2639710Z [ RUN      ] TensorIndexingTest.TestZeroDimIndex
2025-12-04T10:38:53.2640130Z [       OK ] TensorIndexingTest.TestZeroDimIndex (0 ms)
2025-12-04T10:38:53.2640632Z [----------] 36 tests from TensorIndexingTest (20 ms total)
2025-12-04T10:38:53.2641056Z 
2025-12-04T10:38:53.2641167Z [----------] 18 tests from NumpyTests
2025-12-04T10:38:53.2641500Z [ RUN      ] NumpyTests.TestNoneIndex
2025-12-04T10:38:53.2641831Z [       OK ] NumpyTests.TestNoneIndex (0 ms)
2025-12-04T10:38:53.2642201Z [ RUN      ] NumpyTests.TestEmptyFancyIndex
2025-12-04T10:38:53.2644688Z [       OK ] NumpyTests.TestEmptyFancyIndex (0 ms)
2025-12-04T10:38:53.2645055Z [ RUN      ] NumpyTests.TestEllipsisIndex
2025-12-04T10:38:53.2650752Z [       OK ] NumpyTests.TestEllipsisIndex (0 ms)
2025-12-04T10:38:53.2651129Z [ RUN      ] NumpyTests.TestSingleIntIndex
2025-12-04T10:38:53.2654564Z [       OK ] NumpyTests.TestSingleIntIndex (0 ms)
2025-12-04T10:38:53.2654923Z [ RUN      ] NumpyTests.TestSingleBoolIndex
2025-12-04T10:38:53.2659141Z [       OK ] NumpyTests.TestSingleBoolIndex (0 ms)
2025-12-04T10:38:53.2659542Z [ RUN      ] NumpyTests.TestBooleanShapeMismatch
2025-12-04T10:38:53.2666206Z [       OK ] NumpyTests.TestBooleanShapeMismatch (0 ms)
2025-12-04T10:38:53.2666653Z [ RUN      ] NumpyTests.TestBooleanIndexingOnedim
2025-12-04T10:38:53.2671323Z [       OK ] NumpyTests.TestBooleanIndexingOnedim (0 ms)
2025-12-04T10:38:53.2671767Z [ RUN      ] NumpyTests.TestBooleanAssignmentValueMismatch
2025-12-04T10:38:53.2677449Z [       OK ] NumpyTests.TestBooleanAssignmentValueMismatch (0 ms)
2025-12-04T10:38:53.2677904Z [ RUN      ] NumpyTests.TestBooleanIndexingTwodim
2025-12-04T10:38:53.2689708Z [       OK ] NumpyTests.TestBooleanIndexingTwodim (1 ms)
2025-12-04T10:38:53.2690138Z [ RUN      ] NumpyTests.TestBooleanIndexingWeirdness
2025-12-04T10:38:53.2698421Z [       OK ] NumpyTests.TestBooleanIndexingWeirdness (0 ms)
2025-12-04T10:38:53.2698927Z [ RUN      ] NumpyTests.TestBooleanIndexingWeirdnessTensors
2025-12-04T10:38:53.2707793Z [       OK ] NumpyTests.TestBooleanIndexingWeirdnessTensors (0 ms)
2025-12-04T10:38:53.2708329Z [ RUN      ] NumpyTests.TestBooleanIndexingAlldims
2025-12-04T10:38:53.2710971Z [       OK ] NumpyTests.TestBooleanIndexingAlldims (0 ms)
2025-12-04T10:38:53.2721345Z [ RUN      ] NumpyTests.TestBooleanListIndexing
2025-12-04T10:38:53.2721862Z [       OK ] NumpyTests.TestBooleanListIndexing (1 ms)
2025-12-04T10:38:53.2722256Z [ RUN      ] NumpyTests.TestEverythingReturnsViews
2025-12-04T10:38:53.2722684Z [       OK ] NumpyTests.TestEverythingReturnsViews (0 ms)
2025-12-04T10:38:53.2723104Z [ RUN      ] NumpyTests.TestBroaderrorsIndexing
2025-12-04T10:38:53.2727299Z [       OK ] NumpyTests.TestBroaderrorsIndexing (0 ms)
2025-12-04T10:38:53.2727903Z [ RUN      ] NumpyTests.TestTrivialFancyOutOfBounds
2025-12-04T10:38:53.2744071Z [       OK ] NumpyTests.TestTrivialFancyOutOfBounds (1 ms)
2025-12-04T10:38:53.2744588Z [ RUN      ] NumpyTests.TestIndexIsLarger
2025-12-04T10:38:53.2748679Z [       OK ] NumpyTests.TestIndexIsLarger (0 ms)
2025-12-04T10:38:53.2749229Z [ RUN      ] NumpyTests.TestBroadcastSubspace
2025-12-04T10:38:53.2757192Z [       OK ] NumpyTests.TestBroadcastSubspace (0 ms)
2025-12-04T10:38:53.2757682Z [----------] 18 tests from NumpyTests (11 ms total)
2025-12-04T10:38:53.2757930Z 
2025-12-04T10:38:53.2758052Z [----------] 5 tests from TensorOptionsTest
2025-12-04T10:38:53.2758450Z [ RUN      ] TensorOptionsTest.DefaultsToTheRightValues
2025-12-04T10:38:53.2758902Z [       OK ] TensorOptionsTest.DefaultsToTheRightValues (0 ms)
2025-12-04T10:38:53.2759432Z [ RUN      ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions
2025-12-04T10:38:53.2760226Z [       OK ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions (0 ms)
2025-12-04T10:38:53.2760814Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCPUTypes
2025-12-04T10:38:53.2761297Z [       OK ] TensorOptionsTest.ConstructsWellFromCPUTypes (0 ms)
2025-12-04T10:38:53.2761953Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCPUTensors
2025-12-04T10:38:53.2762636Z [       OK ] TensorOptionsTest.ConstructsWellFromCPUTensors (0 ms)
2025-12-04T10:38:53.2763164Z [ RUN      ] TensorOptionsTest.ConstructsWellFromVariables
2025-12-04T10:38:53.2763696Z [       OK ] TensorOptionsTest.ConstructsWellFromVariables (0 ms)
2025-12-04T10:38:53.2764154Z [----------] 5 tests from TensorOptionsTest (0 ms total)
2025-12-04T10:38:53.2764468Z 
2025-12-04T10:38:53.2764578Z [----------] 1 test from DeviceTest
2025-12-04T10:38:53.2765016Z [ RUN      ] DeviceTest.ParsesCorrectlyFromString
2025-12-04T10:38:53.2766110Z [W1204 10:38:53.951536433 Device.cpp:42] Warning: 'mkldnn' is no longer used as device type. So torch.device('mkldnn') will be deprecated and removed in the future. Please use other valid device types instead. (function operator())
2025-12-04T10:38:53.2767274Z [       OK ] DeviceTest.ParsesCorrectlyFromString (0 ms)
2025-12-04T10:38:53.2767669Z [----------] 1 test from DeviceTest (0 ms total)
2025-12-04T10:38:53.2767902Z 
2025-12-04T10:38:53.2768037Z [----------] 3 tests from DefaultDtypeTest
2025-12-04T10:38:53.2768475Z [ RUN      ] DefaultDtypeTest.CanSetAndGetDefaultDtype
2025-12-04T10:38:53.2768966Z [       OK ] DefaultDtypeTest.CanSetAndGetDefaultDtype (0 ms)
2025-12-04T10:38:53.2769576Z [ RUN      ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault
2025-12-04T10:38:53.2770108Z [       OK ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault (0 ms)
2025-12-04T10:38:53.2770628Z [ RUN      ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype
2025-12-04T10:38:53.2771167Z [       OK ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype (0 ms)
2025-12-04T10:38:53.2771652Z [----------] 3 tests from DefaultDtypeTest (0 ms total)
2025-12-04T10:38:53.2771903Z 
2025-12-04T10:38:53.2772029Z [----------] 1 test from TorchIncludeTest
2025-12-04T10:38:53.2772374Z [ RUN      ] TorchIncludeTest.GetSetNumThreads
2025-12-04T10:38:53.2772769Z [       OK ] TorchIncludeTest.GetSetNumThreads (0 ms)
2025-12-04T10:38:53.2773172Z [----------] 1 test from TorchIncludeTest (0 ms total)
2025-12-04T10:38:53.2773421Z 
2025-12-04T10:38:53.2773540Z [----------] 28 tests from InferenceModeTest
2025-12-04T10:38:53.2773898Z [ RUN      ] InferenceModeTest.TestTLSState
2025-12-04T10:38:53.2774272Z [       OK ] InferenceModeTest.TestTLSState (0 ms)
2025-12-04T10:38:53.2774747Z [ RUN      ] InferenceModeTest.TestInferenceTensorCreation
2025-12-04T10:38:53.2775214Z [       OK ] InferenceModeTest.TestInferenceTensorCreation (0 ms)
2025-12-04T10:38:53.2775760Z [ RUN      ] InferenceModeTest.TestExistingAutogradSession
2025-12-04T10:38:53.2776244Z [       OK ] InferenceModeTest.TestExistingAutogradSession (0 ms)
2025-12-04T10:38:53.2777025Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp
2025-12-04T10:38:53.2778568Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp (0 ms)
2025-12-04T10:38:53.2779246Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp
2025-12-04T10:38:53.2780111Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp (0 ms)
2025-12-04T10:38:53.2780876Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp
2025-12-04T10:38:53.2781500Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp (0 ms)
2025-12-04T10:38:53.2782143Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp
2025-12-04T10:38:53.2782875Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp (0 ms)
2025-12-04T10:38:53.2783546Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp
2025-12-04T10:38:53.2784168Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp (0 ms)
2025-12-04T10:38:53.2784850Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp
2025-12-04T10:38:53.2785424Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp (0 ms)
2025-12-04T10:38:53.2786087Z [ RUN      ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode
2025-12-04T10:38:53.2786965Z [       OK ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode (0 ms)
2025-12-04T10:38:53.2787630Z [ RUN      ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode
2025-12-04T10:38:53.2788363Z [       OK ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode (0 ms)
2025-12-04T10:38:53.2789124Z [ RUN      ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode
2025-12-04T10:38:53.2789758Z [       OK ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode (0 ms)
2025-12-04T10:38:53.2790374Z [ RUN      ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode
2025-12-04T10:38:53.2792613Z [       OK ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode (0 ms)
2025-12-04T10:38:53.2793247Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp
2025-12-04T10:38:53.2798522Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp (0 ms)
2025-12-04T10:38:53.2799146Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp
2025-12-04T10:38:53.2802262Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp (0 ms)
2025-12-04T10:38:53.2802868Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp
2025-12-04T10:38:53.2803673Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp (0 ms)
2025-12-04T10:38:53.2804203Z [ RUN      ] InferenceModeTest.TestHandleDirectViewOnRebase
2025-12-04T10:38:53.2806426Z [       OK ] InferenceModeTest.TestHandleDirectViewOnRebase (0 ms)
2025-12-04T10:38:53.2806932Z [ RUN      ] InferenceModeTest.TestHandleInDirectViewOnRebase
2025-12-04T10:38:53.2810070Z [       OK ] InferenceModeTest.TestHandleInDirectViewOnRebase (0 ms)
2025-12-04T10:38:53.2810560Z [ RUN      ] InferenceModeTest.TestCreationMetaPropagation
2025-12-04T10:38:53.2811959Z [       OK ] InferenceModeTest.TestCreationMetaPropagation (0 ms)
2025-12-04T10:38:53.2812466Z [ RUN      ] InferenceModeTest.TestCreationMetaPropagationInput
2025-12-04T10:38:53.2816585Z [       OK ] InferenceModeTest.TestCreationMetaPropagationInput (0 ms)
2025-12-04T10:38:53.2817108Z [ RUN      ] InferenceModeTest.TestInplaceCopyOnInferenceTensor
2025-12-04T10:38:53.2818535Z [       OK ] InferenceModeTest.TestInplaceCopyOnInferenceTensor (0 ms)
2025-12-04T10:38:53.2819154Z [ RUN      ] InferenceModeTest.TestSetRequiresGradInNormalMode
2025-12-04T10:38:53.2819659Z [       OK ] InferenceModeTest.TestSetRequiresGradInNormalMode (0 ms)
2025-12-04T10:38:53.2820207Z [ RUN      ] InferenceModeTest.TestAccessVersionCounter
2025-12-04T10:38:53.2820778Z [       OK ] InferenceModeTest.TestAccessVersionCounter (0 ms)
2025-12-04T10:38:53.2821360Z [ RUN      ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor
2025-12-04T10:38:53.2822491Z [       OK ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor (0 ms)
2025-12-04T10:38:53.2823119Z [ RUN      ] InferenceModeTest.TestComplexViewInInferenceMode
2025-12-04T10:38:53.2824778Z [       OK ] InferenceModeTest.TestComplexViewInInferenceMode (0 ms)
2025-12-04T10:38:53.2825365Z [ RUN      ] InferenceModeTest.TestComplexViewInNormalMode
2025-12-04T10:38:53.2825888Z [       OK ] InferenceModeTest.TestComplexViewInNormalMode (0 ms)
2025-12-04T10:38:53.2826342Z [ RUN      ] InferenceModeTest.TestCustomFunction
2025-12-04T10:38:53.2829845Z [       OK ] InferenceModeTest.TestCustomFunction (0 ms)
2025-12-04T10:38:53.2830342Z [ RUN      ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning
2025-12-04T10:38:53.2831045Z [       OK ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning (0 ms)
2025-12-04T10:38:53.2831591Z [----------] 28 tests from InferenceModeTest (6 ms total)
2025-12-04T10:38:53.2831849Z 
2025-12-04T10:38:53.2831972Z [----------] 4 tests from GradModeTest
2025-12-04T10:38:53.2832496Z [ RUN      ] GradModeTest.TestRequiresGradFunctionalOp
2025-12-04T10:38:53.2832947Z [       OK ] GradModeTest.TestRequiresGradFunctionalOp (0 ms)
2025-12-04T10:38:53.2833388Z [ RUN      ] GradModeTest.TestRequiresGradInplaceOp
2025-12-04T10:38:53.2833825Z [       OK ] GradModeTest.TestRequiresGradInplaceOp (0 ms)
2025-12-04T10:38:53.2834236Z [ RUN      ] GradModeTest.TestRequiresGradViewOp
2025-12-04T10:38:53.2834645Z [       OK ] GradModeTest.TestRequiresGradViewOp (0 ms)
2025-12-04T10:38:53.2835097Z [ RUN      ] GradModeTest.TestRequiresGradViewOpExiting
2025-12-04T10:38:53.2837529Z [       OK ] GradModeTest.TestRequiresGradViewOpExiting (0 ms)
2025-12-04T10:38:53.2837965Z [----------] 4 tests from GradModeTest (0 ms total)
2025-12-04T10:38:53.2838220Z 
2025-12-04T10:38:53.2838328Z [----------] 3 tests from OperationTest
2025-12-04T10:38:53.2838656Z [ RUN      ] OperationTest.Lerp
2025-12-04T10:38:53.2889618Z [       OK ] OperationTest.Lerp (5 ms)
2025-12-04T10:38:53.2889957Z [ RUN      ] OperationTest.Cross
2025-12-04T10:38:53.2942585Z [W1204 10:38:53.969473637 Cross.cpp:67] Warning: Using torch.cross without specifying the dim arg is deprecated.
2025-12-04T10:38:53.2943269Z Please either pass the dim explicitly or simply use torch.linalg.cross.
2025-12-04T10:38:53.2943993Z The default value of dim will change to agree with that of linalg.cross in a future release. (function operator())
2025-12-04T10:38:53.3444308Z [       OK ] OperationTest.Cross (55 ms)
2025-12-04T10:38:53.3444722Z [ RUN      ] OperationTest.Linear_out
2025-12-04T10:38:53.3463775Z [       OK ] OperationTest.Linear_out (2 ms)
2025-12-04T10:38:53.3464152Z [----------] 3 tests from OperationTest (62 ms total)
2025-12-04T10:38:53.3464420Z 
2025-12-04T10:38:53.3464528Z [----------] 2 tests from NestedIntTest
2025-12-04T10:38:53.3464863Z [ RUN      ] NestedIntTest.Comparisons
2025-12-04T10:38:53.3474948Z [       OK ] NestedIntTest.Comparisons (1 ms)
2025-12-04T10:38:53.3475416Z [ RUN      ] NestedIntTest.WithFactor
2025-12-04T10:38:53.3475784Z [       OK ] NestedIntTest.WithFactor (0 ms)
2025-12-04T10:38:53.3476158Z [----------] 2 tests from NestedIntTest (1 ms total)
2025-12-04T10:38:53.3476403Z 
2025-12-04T10:38:53.3476531Z [----------] Global test environment tear-down
2025-12-04T10:38:53.3857835Z [==========] 1010 tests from 51 test suites ran. (267829 ms total)
2025-12-04T10:38:53.3858269Z [  PASSED  ] 1010 tests.
2025-12-04T10:38:53.9332909Z + [[ linux-jammy-py3.10-clang18-asan != *android* ]]
2025-12-04T10:38:53.9333369Z + [[ linux-jammy-py3.10-clang18-asan != *cuda* ]]
2025-12-04T10:38:53.9333759Z + [[ linux-jammy-py3.10-clang18-asan != *asan* ]]
2025-12-04T10:38:53.9334105Z + [[ -z 1 ]]
2025-12-04T10:38:53.9334310Z + [[ 1 == \2 ]]
2025-12-04T10:38:53.9334567Z + assert_git_not_dirty
2025-12-04T10:38:53.9334850Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]]
2025-12-04T10:38:53.9335243Z + [[ linux-jammy-py3.10-clang18-asan != *xla* ]]
2025-12-04T10:38:53.9338797Z ++ git status --porcelain
2025-12-04T10:38:53.9339881Z ++ grep -v '?? third_party'
2025-12-04T10:38:54.7385976Z ++ true
2025-12-04T10:38:54.7386717Z + git_status=
2025-12-04T10:38:54.7387030Z + [[ -n '' ]]
2025-12-04T10:38:54.7394371Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]]
2025-12-04T10:38:54.7468298Z + sccache_epilogue
2025-12-04T10:38:54.7468645Z + echo '::group::Sccache Compilation Log'
2025-12-04T10:38:54.7469580Z ##[group]Sccache Compilation Log
2025-12-04T10:38:54.7469947Z + echo '=================== sccache compilation log ==================='
2025-12-04T10:38:54.7470369Z =================== sccache compilation log ===================
2025-12-04T10:38:54.7471004Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-12-04T10:38:54.7686152Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-12-04T10:38:54.7686862Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-12-04T10:38:54.7687491Z + sccache --show-stats
2025-12-04T10:38:54.7768602Z Compile requests                     863
2025-12-04T10:38:54.7769219Z Compile requests executed             83
2025-12-04T10:38:54.7769592Z Cache hits                            45
2025-12-04T10:38:54.7770017Z Cache hits (C/C++)                    45
2025-12-04T10:38:54.7770346Z Cache misses                          37
2025-12-04T10:38:54.7770658Z Cache misses (C/C++)                  37
2025-12-04T10:38:54.7770964Z Cache hits rate                    54.88 %
2025-12-04T10:38:54.7771404Z Cache hits rate (C/C++)            54.88 %
2025-12-04T10:38:54.7771733Z Cache timeouts                         0
2025-12-04T10:38:54.7772034Z Cache read errors                      0
2025-12-04T10:38:54.7772355Z Forced recaches                        0
2025-12-04T10:38:54.7772674Z Cache write errors                     0
2025-12-04T10:38:54.7772992Z Cache errors                           0
2025-12-04T10:38:54.7773302Z Compilations                          37
2025-12-04T10:38:54.7773630Z Compilation failures                   1
2025-12-04T10:38:54.7773965Z Non-cacheable compilations             0
2025-12-04T10:38:54.7774300Z Non-cacheable calls                   12
2025-12-04T10:38:54.7774636Z Non-compilation calls                768
2025-12-04T10:38:54.7774974Z Unsupported compiler calls             0
2025-12-04T10:38:54.7775305Z Average cache write                0.040 s
2025-12-04T10:38:54.7775641Z Average compiler                  13.789 s
2025-12-04T10:38:54.7775974Z Average cache read hit             0.086 s
2025-12-04T10:38:54.7776315Z Failed distributed compilations        0
2025-12-04T10:38:54.7776536Z 
2025-12-04T10:38:54.7776634Z Non-cacheable reasons:
2025-12-04T10:38:54.7776900Z -E                                    11
2025-12-04T10:38:54.7777210Z -                                      1
2025-12-04T10:38:54.7777407Z 
2025-12-04T10:38:54.7777637Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T10:38:54.7778107Z Version (client)                0.10.0
2025-12-04T10:38:54.7781663Z + sccache --stop-server
2025-12-04T10:38:54.7842252Z Stopping sccache server...
2025-12-04T10:38:54.7847947Z Compile requests                     863
2025-12-04T10:38:54.7848392Z Compile requests executed             83
2025-12-04T10:38:54.7848981Z Cache hits                            45
2025-12-04T10:38:54.7849403Z Cache hits (C/C++)                    45
2025-12-04T10:38:54.7849789Z Cache misses                          37
2025-12-04T10:38:54.7850118Z Cache misses (C/C++)                  37
2025-12-04T10:38:54.7850429Z Cache hits rate                    54.88 %
2025-12-04T10:38:54.7850763Z Cache hits rate (C/C++)            54.88 %
2025-12-04T10:38:54.7851086Z Cache timeouts                         0
2025-12-04T10:38:54.7851403Z Cache read errors                      0
2025-12-04T10:38:54.7851716Z Forced recaches                        0
2025-12-04T10:38:54.7852035Z Cache write errors                     0
2025-12-04T10:38:54.7852485Z Cache errors                           0
2025-12-04T10:38:54.7852789Z Compilations                          37
2025-12-04T10:38:54.7853115Z Compilation failures                   1
2025-12-04T10:38:54.7853453Z Non-cacheable compilations             0
2025-12-04T10:38:54.7853775Z Non-cacheable calls                   12
2025-12-04T10:38:54.7854153Z Non-compilation calls                768
2025-12-04T10:38:54.7854487Z Unsupported compiler calls             0
2025-12-04T10:38:54.7854823Z Average cache write                0.040 s
2025-12-04T10:38:54.7855140Z Average compiler                  13.789 s
2025-12-04T10:38:54.7855476Z Average cache read hit             0.086 s
2025-12-04T10:38:54.7855813Z Failed distributed compilations        0
2025-12-04T10:38:54.7856032Z 
2025-12-04T10:38:54.7856128Z Non-cacheable reasons:
2025-12-04T10:38:54.7856388Z -E                                    11
2025-12-04T10:38:54.7856684Z -                                      1
2025-12-04T10:38:54.7856879Z 
2025-12-04T10:38:54.7857160Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T10:38:54.7857624Z Version (client)                0.10.0
2025-12-04T10:38:54.7859617Z + echo ::endgroup::
2025-12-04T10:38:54.7860156Z ##[endgroup]
2025-12-04T10:38:54.7860392Z + cleanup_workspace
2025-12-04T10:38:54.7860969Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-12-04T10:38:54.7861855Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-12-04T10:38:54.7862506Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-12-04T10:38:54.7862985Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-12-04T10:38:54.7863524Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-12-04T10:38:54.7864132Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-12-04T10:38:54.7864616Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-12-04T10:38:55.5375434Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-12-04T10:38:55.5375941Z with:
2025-12-04T10:38:55.5376198Z   benchmark-results-dir: test/test-reports
2025-12-04T10:38:55.5376511Z   dry-run: false
2025-12-04T10:38:55.5376759Z   schema-version: v3
2025-12-04T10:38:55.5377227Z   github-token: ***
2025-12-04T10:38:55.5377464Z env:
2025-12-04T10:38:55.5377666Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:38:55.5377941Z   HAS_NVIDIA_GPU: false
2025-12-04T10:38:55.5378397Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:38:55.5378889Z ##[endgroup]
2025-12-04T10:38:55.5407009Z ##[group]Run set -eux
2025-12-04T10:38:55.5407301Z set -eux
2025-12-04T10:38:55.5407533Z 
2025-12-04T10:38:55.5407745Z if [[ -n "" ]]; then
2025-12-04T10:38:55.5408029Z   source ""
2025-12-04T10:38:55.5408273Z fi
2025-12-04T10:38:55.5408671Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T10:38:55.5409104Z 
2025-12-04T10:38:55.5409323Z DEVICE_NAME=""
2025-12-04T10:38:55.5409588Z DEVICE_TYPE=""
2025-12-04T10:38:55.5409846Z 
2025-12-04T10:38:55.5410072Z if command -v nvidia-smi; then
2025-12-04T10:38:55.5410538Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-12-04T10:38:55.5411132Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-12-04T10:38:55.5411672Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-12-04T10:38:55.5412110Z   python3 -mpip install torch==2.7.1
2025-12-04T10:38:55.5412463Z elif command -v rocminfo; then
2025-12-04T10:38:55.5412924Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-12-04T10:38:55.5413500Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-12-04T10:38:55.5414172Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-12-04T10:38:55.5414667Z   # GPU device name coming from rocminfo instead
2025-12-04T10:38:55.5415049Z   DEVICE_NAME=rocm
2025-12-04T10:38:55.5415548Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-12-04T10:38:55.5416121Z fi
2025-12-04T10:38:55.5416328Z 
2025-12-04T10:38:55.5416611Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-12-04T10:38:55.5417035Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-12-04T10:38:55.5427387Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:38:55.5427782Z env:
2025-12-04T10:38:55.5428013Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:38:55.5428279Z   HAS_NVIDIA_GPU: false
2025-12-04T10:38:55.5428742Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:38:55.5429271Z ##[endgroup]
2025-12-04T10:38:55.5466579Z + [[ -n '' ]]
2025-12-04T10:38:55.5466934Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T10:38:56.0566070Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T10:38:57.1868256Z Collecting boto3==1.35.33
2025-12-04T10:38:57.2026557Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-12-04T10:38:57.5273668Z Collecting psutil==7.0.0
2025-12-04T10:38:57.5308648Z   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)
2025-12-04T10:38:57.5588646Z Collecting pynvml==12.0.0
2025-12-04T10:38:57.5620830Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-12-04T10:38:57.6094781Z Collecting s3transfer<0.11.0,>=0.10.0
2025-12-04T10:38:57.6134074Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-12-04T10:38:58.7954068Z Collecting botocore<1.36.0,>=1.35.33
2025-12-04T10:38:58.7988064Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-12-04T10:38:58.9451686Z 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)
2025-12-04T10:38:58.9901183Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-12-04T10:38:58.9934966Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-12-04T10:38:59.0037143Z 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)
2025-12-04T10:38:59.0048499Z 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)
2025-12-04T10:38:59.2184181Z 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)
2025-12-04T10:38:59.3578993Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-12-04T10:38:59.8753208Z   Attempting uninstall: nvidia-ml-py
2025-12-04T10:38:59.8754551Z     Found existing installation: nvidia-ml-py 11.525.84
2025-12-04T10:38:59.8774719Z     Uninstalling nvidia-ml-py-11.525.84:
2025-12-04T10:38:59.9006647Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-12-04T10:38:59.9645784Z   Attempting uninstall: psutil
2025-12-04T10:38:59.9646665Z     Found existing installation: psutil 5.9.8
2025-12-04T10:38:59.9721617Z     Uninstalling psutil-5.9.8:
2025-12-04T10:38:59.9728044Z       Successfully uninstalled psutil-5.9.8
2025-12-04T10:39:00.1427196Z 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
2025-12-04T10:39:00.2569531Z + DEVICE_NAME=
2025-12-04T10:39:00.2569791Z + DEVICE_TYPE=
2025-12-04T10:39:00.2570041Z + command -v nvidia-smi
2025-12-04T10:39:00.2570311Z + command -v rocminfo
2025-12-04T10:39:00.2570557Z + echo DEVICE_NAME=
2025-12-04T10:39:00.2571188Z + echo DEVICE_TYPE=
2025-12-04T10:39:00.2603106Z ##[group]Run set -eux
2025-12-04T10:39:00.2603393Z set -eux
2025-12-04T10:39:00.2603623Z 
2025-12-04T10:39:00.2603887Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-12-04T10:39:00.2604238Z   echo "Missing github-token input"
2025-12-04T10:39:00.2604574Z   exit 1
2025-12-04T10:39:00.2604888Z fi
2025-12-04T10:39:00.2611764Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:00.2612157Z env:
2025-12-04T10:39:00.2612384Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:00.2612647Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:00.2613107Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:00.2613624Z   DEVICE_NAME: 
2025-12-04T10:39:00.2613858Z   DEVICE_TYPE: 
2025-12-04T10:39:00.2614299Z   GITHUB_TOKEN: ***
2025-12-04T10:39:00.2614540Z ##[endgroup]
2025-12-04T10:39:00.2638574Z + [[ -z *** ]]
2025-12-04T10:39:00.2690123Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-12-04T10:39:00.2690576Z with:
2025-12-04T10:39:00.2690949Z   github-token: ***
2025-12-04T10:39:00.2691178Z env:
2025-12-04T10:39:00.2691402Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:00.2691683Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:00.2692134Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:00.2692656Z   DEVICE_NAME: 
2025-12-04T10:39:00.2692893Z   DEVICE_TYPE: 
2025-12-04T10:39:00.2693108Z ##[endgroup]
2025-12-04T10:39:00.2716920Z ##[group]Run set -eux
2025-12-04T10:39:00.2717179Z set -eux
2025-12-04T10:39:00.2717410Z 
2025-12-04T10:39:00.2717898Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T10:39:00.2723627Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:00.2724012Z env:
2025-12-04T10:39:00.2724237Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:00.2724512Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:00.2725118Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:00.2725642Z   DEVICE_NAME: 
2025-12-04T10:39:00.2725876Z   DEVICE_TYPE: 
2025-12-04T10:39:00.2726242Z   GITHUB_TOKEN: ***
2025-12-04T10:39:00.2726485Z ##[endgroup]
2025-12-04T10:39:00.2750267Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19921726337 i-0acbbf936d8273abe
2025-12-04T10:39:03.4036745Z setting job-id=57113416392
2025-12-04T10:39:03.4037293Z setting job-name=linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T10:39:03.4160167Z ##[group]Run set -eux
2025-12-04T10:39:03.4160452Z set -eux
2025-12-04T10:39:03.4160667Z 
2025-12-04T10:39:03.4160892Z if [[ -n "" ]]; then
2025-12-04T10:39:03.4161173Z   source ""
2025-12-04T10:39:03.4161399Z fi
2025-12-04T10:39:03.4161611Z 
2025-12-04T10:39:03.4162025Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-12-04T10:39:03.4162555Z   --schema-version "${SCHEMA_VERSION}" \
2025-12-04T10:39:03.4162895Z   --repo "${REPO}" \
2025-12-04T10:39:03.4163199Z   --head-branch "${HEAD_BRANCH}" \
2025-12-04T10:39:03.4163552Z   --head-sha "${HEAD_SHA}" \
2025-12-04T10:39:03.4163878Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-12-04T10:39:03.4164241Z   --run-attempt "${RUN_ATTEMPT}" \
2025-12-04T10:39:03.4164571Z   --job-id "${JOB_ID}" \
2025-12-04T10:39:03.4164861Z   --job-name "${JOB_NAME}"
2025-12-04T10:39:03.4170924Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:03.4171311Z env:
2025-12-04T10:39:03.4171534Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:03.4171795Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:03.4172258Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:03.4172898Z   DEVICE_NAME: 
2025-12-04T10:39:03.4173123Z   DEVICE_TYPE: 
2025-12-04T10:39:03.4173359Z   SCHEMA_VERSION: v3
2025-12-04T10:39:03.4173615Z   REPO: pytorch/pytorch
2025-12-04T10:39:03.4173866Z   HEAD_BRANCH: refs/heads/main
2025-12-04T10:39:03.4174196Z   HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T10:39:03.4174617Z   WORKFLOW_RUN_ID: 19921726337
2025-12-04T10:39:03.4174875Z   RUN_ATTEMPT: 1
2025-12-04T10:39:03.4175104Z   JOB_ID: 57113416392
2025-12-04T10:39:03.4175506Z   JOB_NAME: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T10:39:03.4175969Z ##[endgroup]
2025-12-04T10:39:03.4200698Z + [[ -n '' ]]
2025-12-04T10:39:03.4202703Z + 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 ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 --workflow-id 19921726337 --run-attempt 1 --job-id 57113416392 --job-name 'linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)'
2025-12-04T10:39:03.4533874Z ##[group]Run set -eux
2025-12-04T10:39:03.4534165Z set -eux
2025-12-04T10:39:03.4534400Z 
2025-12-04T10:39:03.4534612Z if [[ -n "" ]]; then
2025-12-04T10:39:03.4534902Z   source ""
2025-12-04T10:39:03.4535150Z fi
2025-12-04T10:39:03.4535348Z 
2025-12-04T10:39:03.4535741Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-12-04T10:39:03.4541809Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:03.4542192Z env:
2025-12-04T10:39:03.4542402Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:03.4542673Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:03.4543135Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:03.4543632Z   DEVICE_NAME: 
2025-12-04T10:39:03.4543870Z   DEVICE_TYPE: 
2025-12-04T10:39:03.4544243Z ##[endgroup]
2025-12-04T10:39:03.4568052Z + [[ -n '' ]]
2025-12-04T10:39:03.4568886Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-12-04T10:39:03.4977318Z INFO:root:Fail to import torch to get the device name
2025-12-04T10:39:03.5084613Z ##[group]Run set -eux
2025-12-04T10:39:03.5084877Z set -eux
2025-12-04T10:39:03.5085106Z 
2025-12-04T10:39:03.5085357Z # TODO (huydhn): Implement this part
2025-12-04T10:39:03.5085731Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-12-04T10:39:03.5091729Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:03.5092123Z env:
2025-12-04T10:39:03.5092351Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:03.5092614Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:03.5093078Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:03.5093617Z   DEVICE_NAME: 
2025-12-04T10:39:03.5093853Z   DEVICE_TYPE: 
2025-12-04T10:39:03.5094066Z ##[endgroup]
2025-12-04T10:39:03.5116464Z + echo 'dependencies={}'
2025-12-04T10:39:03.5147152Z ##[group]Run set -eux
2025-12-04T10:39:03.5147434Z set -eux
2025-12-04T10:39:03.5147669Z 
2025-12-04T10:39:03.5147900Z if [[ -n "" ]]; then
2025-12-04T10:39:03.5148160Z   source ""
2025-12-04T10:39:03.5148400Z fi
2025-12-04T10:39:03.5148612Z 
2025-12-04T10:39:03.5148866Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-12-04T10:39:03.5149317Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-12-04T10:39:03.5149815Z   # We don't want the job to fail if the directory doesn't exist
2025-12-04T10:39:03.5150221Z   exit 0
2025-12-04T10:39:03.5150436Z fi
2025-12-04T10:39:03.5150652Z 
2025-12-04T10:39:03.5150895Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-12-04T10:39:03.5151442Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T10:39:03.5152009Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T10:39:03.5152440Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T10:39:03.5152852Z     --runners "${RUNNER_INFO}" \
2025-12-04T10:39:03.5153193Z     --dependencies "${DEPENDENCIES}" \
2025-12-04T10:39:03.5153535Z     --dry-run
2025-12-04T10:39:03.5153789Z else
2025-12-04T10:39:03.5154158Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T10:39:03.5154719Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T10:39:03.5155150Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T10:39:03.5155508Z     --runners "${RUNNER_INFO}" \
2025-12-04T10:39:03.5155844Z     --dependencies "${DEPENDENCIES}"
2025-12-04T10:39:03.5156173Z fi
2025-12-04T10:39:03.5161505Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:03.5175693Z env:
2025-12-04T10:39:03.5175944Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:03.5176220Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:03.5176681Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:03.5177191Z   DEVICE_NAME: 
2025-12-04T10:39:03.5177430Z   DEVICE_TYPE: 
2025-12-04T10:39:03.5177689Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-12-04T10:39:03.5178013Z   DRY_RUN: false
2025-12-04T10:39:03.5179324Z   BENCHMARK_METADATA: {"timestamp": 1764844743, "schema_version": "v3", "name": "linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19921726337, "run_attempt": 1, "job_id": 57113416392}
2025-12-04T10:39:03.5181244Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-32-189.ec2.internal"}, "name": "", "type": ""}]
2025-12-04T10:39:03.5181906Z   DEPENDENCIES: {}
2025-12-04T10:39:03.5182145Z ##[endgroup]
2025-12-04T10:39:03.5205621Z + [[ -n '' ]]
2025-12-04T10:39:03.5205872Z + [[ ! -d test/test-reports ]]
2025-12-04T10:39:03.5206167Z + [[ false == \t\r\u\e ]]
2025-12-04T10:39:03.5208951Z + 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": 1764844743, "schema_version": "v3", "name": "linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19921726337, "run_attempt": 1, "job_id": 57113416392}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-32-189.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-12-04T10:39:03.6773222Z /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-cf78bd5038888258e79d.json is not a benchmark record, skipping
2025-12-04T10:39:03.6774894Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:39:03.6855950Z /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': 'dynamo/test_dynamic_shapes'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'test_custom_ops'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'inductor/test_collective_autotuning'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_autograd'}, {'test_file': 'test_torch'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'test_utils'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'higher_order_ops/test_print'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_fx'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_linalg'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'test_tensorboard'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_jit'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_nn'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_overrides'}, {'test_file': 'test_reductions'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'test_content_store'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_deterministic'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_cutedsl_grouped_mm'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_template_heuristics_registry'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'export/test_strict_export_v2'}, {'test_file': 'inductor/test_flex_flash'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'inductor/test_selective_lowering'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_lookup_table'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'export/test_serialize'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_move_constructors_to_gpu'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'export/test_serdes'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'export/test_dynamic_shapes'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'inductor/test_device_assert'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'inductor/test_control_deps'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'export/test_tools'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_mem_estimation'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'inductor/test_cache'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'export/test_package'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'export/test_db'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'inductor/test_config'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_mix_order_reduction'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_pallas'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'export/test_passes'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'inductor/test_augmented_graph_helper'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'inductor/test_custom_partitioner_fn'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'inductor/test_caching'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'export/test_nativert'}, {'test_file': 'inductor/test_custom_op_autotune'}, {'test_file': 'export/test_hop'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_converter'}, {'test_file': 'export/test_export'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'export/test_verifier'}, {'test_file': 'export/test_sparse'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'functorch/test_rearrange'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_package'}, {'test_file': 'test_cuda'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_transformers'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_license'}, {'test_file': 'test_autoload'}, {'test_file': 'nn/attention/test_open_registry'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'test_as_strided'}, {'test_file': 'test_foreach'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'nn/attention/test_fa4'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'test_file_check'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_flop_counter'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_openmp'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'test_module_tracker'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_sparse'}, {'test_file': 'test_fx_passes'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_dataloader'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_typing'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_weak'}, {'test_file': 'test_decomp'}, {'test_file': 'test_complex'}, {'test_file': 'test_optim'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'test_pytree'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_stateless'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'functorch/dim/test_getsetitem'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_meta'}, {'test_file': 'test_ops_jit'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_hub'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_opaque_obj_v2'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_modules'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_autocast'}, {'test_file': 'test_logging'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_monitor'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'test_itt'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_masked'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'test_subclass'}, {'test_file': 'test_import_stats'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_schema_check'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_futures'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'functorch/dim/test_split'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'cpp_extensions/test_libtorch_agnostic'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_ops'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_scaled_matmul_cuda'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_vulkan'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_shape_ops'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_serialization'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_type_info'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_mkldnn'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_accelerator'}, {'test_file': 'nn/test_init'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_prims'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-b73dacaca0b8812bd872.json is not a benchmark record, skipping
2025-12-04T10:39:03.6933171Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:39:03.6937147Z /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-dbbd0ec0c3c740323316.json is not a benchmark record, skipping
2025-12-04T10:39:03.6940970Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:39:03.7039319Z ##[group]Run cat test/**/*_toprint.log || true
2025-12-04T10:39:03.7039723Z cat test/**/*_toprint.log || true
2025-12-04T10:39:03.7045589Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:03.7045986Z env:
2025-12-04T10:39:03.7046195Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:03.7046753Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:03.7047322Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:03.7047821Z   DEVICE_NAME: 
2025-12-04T10:39:03.7048053Z   DEVICE_TYPE: 
2025-12-04T10:39:03.7048281Z ##[endgroup]
2025-12-04T10:39:03.7138042Z cat: 'test/**/*_toprint.log': No such file or directory
2025-12-04T10:39:03.7174014Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-12-04T10:39:03.7174386Z kill "$MONITOR_SCRIPT_PID"
2025-12-04T10:39:03.7179841Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:03.7180295Z env:
2025-12-04T10:39:03.7180524Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:03.7180797Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:03.7181242Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:03.7181833Z   DEVICE_NAME: 
2025-12-04T10:39:03.7182053Z   DEVICE_TYPE: 
2025-12-04T10:39:03.7182301Z   MONITOR_SCRIPT_PID: 43967
2025-12-04T10:39:03.7182577Z ##[endgroup]
2025-12-04T10:39:03.7205166Z /home/ec2-user/actions-runner/_work/_temp/916ac6a0-6604-4278-bf84-be61e291893a.sh: line 1: kill: (43967) - No such process
2025-12-04T10:39:03.7214968Z ##[error]Process completed with exit code 1.
2025-12-04T10:39:03.7353167Z Prepare all required actions
2025-12-04T10:39:03.7353591Z Getting action download info
2025-12-04T10:39:03.9158902Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T10:39:04.3203131Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-12-04T10:39:04.8107508Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-12-04T10:39:04.8107952Z with:
2025-12-04T10:39:04.8108283Z   file-suffix: test-default-1-7-linux.4xlarge_57113416392
2025-12-04T10:39:04.8108678Z   s3-bucket: gha-artifacts
2025-12-04T10:39:04.8108950Z env:
2025-12-04T10:39:04.8109171Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:04.8109448Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:04.8109897Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:04.8110411Z   DEVICE_NAME: 
2025-12-04T10:39:04.8110645Z   DEVICE_TYPE: 
2025-12-04T10:39:04.8110922Z ##[endgroup]
2025-12-04T10:39:04.8165884Z ##[group]Run # Remove any previous test jsons if they exist
2025-12-04T10:39:04.8166361Z # Remove any previous test jsons if they exist
2025-12-04T10:39:04.8166731Z rm -f test-jsons-*.zip
2025-12-04T10:39:04.8167169Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-12-04T10:39:04.8173283Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:04.8173658Z env:
2025-12-04T10:39:04.8173875Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:04.8174145Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:04.8174595Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:04.8175095Z   DEVICE_NAME: 
2025-12-04T10:39:04.8175321Z   DEVICE_TYPE: 
2025-12-04T10:39:04.8175620Z   FILE_SUFFIX: test-default-1-7-linux.4xlarge_57113416392
2025-12-04T10:39:04.8175976Z ##[endgroup]
2025-12-04T10:39:04.8330238Z   adding: test/test-reports/td_exclusions-cf78bd5038888258e79d.json (deflated 16%)
2025-12-04T10:39:04.8331057Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-ed0e002cbebfcf6c.json (stored 0%)
2025-12-04T10:39:04.8335605Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-fbef8bd389da1e5e.json (deflated 97%)
2025-12-04T10:39:04.8336694Z   adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-6967a26a7820476e.json (deflated 73%)
2025-12-04T10:39:04.8415719Z   adding: test/test-reports/python-pytest/test_utils/test_utils-69d67d8e86339382.json (deflated 98%)
2025-12-04T10:39:04.8432567Z   adding: test/test-reports/python-pytest/test_fx/test_fx-660b1e545fb1ef17.json (deflated 95%)
2025-12-04T10:39:04.8434356Z   adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-712a5bba17a97439.json (deflated 92%)
2025-12-04T10:39:04.8436925Z   adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-638a90eedeb4976e.json (deflated 95%)
2025-12-04T10:39:04.8458074Z   adding: test/test-reports/python-pytest/test_overrides/test_overrides-209cb9cbaecf3cc7.json (deflated 97%)
2025-12-04T10:39:04.8525012Z   adding: test/test-reports/python-pytest/test_reductions/test_reductions-27af43b9b043e2a7.json (deflated 98%)
2025-12-04T10:39:04.8532247Z   adding: test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-04c10a065f9c8c4e.json (deflated 95%)
2025-12-04T10:39:04.8536776Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-f0056591b06ea9d6.json (deflated 95%)
2025-12-04T10:39:04.8541871Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-f01ca41a1ca4a001.json (deflated 95%)
2025-12-04T10:39:04.8547052Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1598c3cc7c996bd7.json (deflated 95%)
2025-12-04T10:39:04.8551714Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-824dd1f649231903.json (deflated 94%)
2025-12-04T10:39:04.8556352Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-91b2f209b1cd8557.json (deflated 95%)
2025-12-04T10:39:04.8561166Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-f9bbd10d2aacce74.json (deflated 95%)
2025-12-04T10:39:04.8566184Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-ff9c22ed0402a950.json (deflated 95%)
2025-12-04T10:39:04.8568419Z   adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-357990c61a6a4b52.json (deflated 77%)
2025-12-04T10:39:04.8570785Z   adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-22ee5c8d6402d584.json (deflated 89%)
2025-12-04T10:39:04.8572871Z   adding: test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-645507fc747e18ae.json (deflated 95%)
2025-12-04T10:39:04.8574943Z   adding: test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-52d0d4646760d8e5.json (deflated 65%)
2025-12-04T10:39:04.8583992Z   adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-dee9b7bc5d6218e2.json (deflated 97%)
2025-12-04T10:39:04.8585858Z   adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-40632b1f51ba4807.json (deflated 64%)
2025-12-04T10:39:04.8587700Z   adding: test/test-reports/python-pytest/test_show_pickle/test_show_pickle-5a0533a17352d920.json (deflated 34%)
2025-12-04T10:39:04.8589331Z   adding: test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-52c38f1c6f8c73a3.json (deflated 94%)
2025-12-04T10:39:04.8591303Z   adding: test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-b9f5d537cdeb5d23.json (deflated 76%)
2025-12-04T10:39:04.8597820Z   adding: test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-5b72720469d709f2.json (deflated 95%)
2025-12-04T10:39:04.8599880Z   adding: test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-d55bde431951e5e5.json (deflated 92%)
2025-12-04T10:39:04.8601851Z   adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-3e8a7d52dda27c52.json (deflated 94%)
2025-12-04T10:39:04.8603719Z   adding: test/test-reports/python-pytest/test_autocast/test_autocast-d2cfb69f8dbf9b6a.json (deflated 91%)
2025-12-04T10:39:04.8605465Z   adding: test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-9f7dcf87b6170169.json (deflated 73%)
2025-12-04T10:39:04.8607360Z   adding: test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-b4ccbb1370b7e4f4.json (deflated 81%)
2025-12-04T10:39:04.8609827Z   adding: test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-71dd28c8b1605a5c.json (deflated 92%)
2025-12-04T10:39:04.8612233Z   adding: test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-56ef1953864ee0d9.json (deflated 56%)
2025-12-04T10:39:04.8614204Z   adding: test/test-reports/python-pytest/test_dispatch/test_dispatch-e7ac716b0f2368c4.json (deflated 92%)
2025-12-04T10:39:04.8625532Z   adding: test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-4bbf080031836b93.json (deflated 98%)
2025-12-04T10:39:04.8627428Z   adding: test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-118c891e19dae991.json (deflated 90%)
2025-12-04T10:39:04.8628591Z   adding: test/test-reports/python-pytest/test_native_mha/test_native_mha-ac893b3244b1621d.json (deflated 92%)
2025-12-04T10:39:04.8629787Z   adding: test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-6ec7c771d578c403.json (deflated 83%)
2025-12-04T10:39:04.8635882Z   adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-f1ea75d0de7e5f14.json (deflated 94%)
2025-12-04T10:39:04.8637103Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-5ea6c97946172ba0.json (deflated 91%)
2025-12-04T10:39:04.8638267Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-81c2de770641ab3b.json (deflated 91%)
2025-12-04T10:39:04.8639397Z   adding: test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-3ade48379f2089f2.json (stored 0%)
2025-12-04T10:39:04.8640446Z   adding: test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-d9a135137ba08c3f.json (stored 0%)
2025-12-04T10:39:04.8641470Z   adding: test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-291db1f0bf03c756.json (stored 0%)
2025-12-04T10:39:04.8642445Z   adding: test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-4406e378597a6498.json (stored 0%)
2025-12-04T10:39:04.8643412Z   adding: test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-bf9a8d86df2974c2.json (stored 0%)
2025-12-04T10:39:04.8644355Z   adding: test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-9b0832b81ad86620.json (stored 0%)
2025-12-04T10:39:04.8645393Z   adding: test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-f5ad8867253b74cc.json (stored 0%)
2025-12-04T10:39:04.8648438Z   adding: test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-625e5fdadbbce99f.json (deflated 94%)
2025-12-04T10:39:04.8652669Z   adding: test/test-reports/td_exclusions-b73dacaca0b8812bd872.json (deflated 82%)
2025-12-04T10:39:04.8653555Z   adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204101301.json (deflated 37%)
2025-12-04T10:39:04.8654639Z   adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204101326.json (deflated 37%)
2025-12-04T10:39:04.8655522Z   adding: test/test-reports/td_exclusions-dbbd0ec0c3c740323316.json (deflated 73%)
2025-12-04T10:39:04.8700127Z ##[group]Run # Remove any previous test reports if they exist
2025-12-04T10:39:04.8700604Z # Remove any previous test reports if they exist
2025-12-04T10:39:04.8701011Z rm -f test-reports-*.zip
2025-12-04T10:39:04.8701501Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-12-04T10:39:04.8707635Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:04.8708006Z env:
2025-12-04T10:39:04.8708233Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:04.8708516Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:04.8708964Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:04.8709478Z   DEVICE_NAME: 
2025-12-04T10:39:04.8709716Z   DEVICE_TYPE: 
2025-12-04T10:39:04.8710010Z   FILE_SUFFIX: test-default-1-7-linux.4xlarge_57113416392
2025-12-04T10:39:04.8710388Z ##[endgroup]
2025-12-04T10:39:04.8776118Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-ed0e002cbebfcf6c.xml (deflated 27%)
2025-12-04T10:39:04.8779604Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-fbef8bd389da1e5e.xml (deflated 94%)
2025-12-04T10:39:04.8780784Z   adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-6967a26a7820476e.xml (deflated 58%)
2025-12-04T10:39:04.8843072Z   adding: test/test-reports/python-pytest/test_utils/test_utils-69d67d8e86339382.xml (deflated 96%)
2025-12-04T10:39:04.8857493Z   adding: test/test-reports/python-pytest/test_fx/test_fx-660b1e545fb1ef17.xml (deflated 93%)
2025-12-04T10:39:04.8858608Z   adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-712a5bba17a97439.xml (deflated 86%)
2025-12-04T10:39:04.8860612Z   adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-638a90eedeb4976e.xml (deflated 91%)
2025-12-04T10:39:04.8875170Z   adding: test/test-reports/python-pytest/test_overrides/test_overrides-209cb9cbaecf3cc7.xml (deflated 95%)
2025-12-04T10:39:04.8923789Z   adding: test/test-reports/python-pytest/test_reductions/test_reductions-27af43b9b043e2a7.xml (deflated 96%)
2025-12-04T10:39:04.8929730Z   adding: test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-04c10a065f9c8c4e.xml (deflated 92%)
2025-12-04T10:39:04.8932908Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-f0056591b06ea9d6.xml (deflated 93%)
2025-12-04T10:39:04.8936850Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-f01ca41a1ca4a001.xml (deflated 94%)
2025-12-04T10:39:04.8940412Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1598c3cc7c996bd7.xml (deflated 94%)
2025-12-04T10:39:04.8943210Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-824dd1f649231903.xml (deflated 93%)
2025-12-04T10:39:04.8947246Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-91b2f209b1cd8557.xml (deflated 93%)
2025-12-04T10:39:04.8950366Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-f9bbd10d2aacce74.xml (deflated 93%)
2025-12-04T10:39:04.8953651Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-ff9c22ed0402a950.xml (deflated 94%)
2025-12-04T10:39:04.8954990Z   adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-357990c61a6a4b52.xml (deflated 71%)
2025-12-04T10:39:04.8956413Z   adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-22ee5c8d6402d584.xml (deflated 86%)
2025-12-04T10:39:04.8957541Z   adding: test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-645507fc747e18ae.xml (deflated 92%)
2025-12-04T10:39:04.8958650Z   adding: test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-52d0d4646760d8e5.xml (deflated 51%)
2025-12-04T10:39:04.8966106Z   adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-dee9b7bc5d6218e2.xml (deflated 96%)
2025-12-04T10:39:04.8967076Z   adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-40632b1f51ba4807.xml (deflated 52%)
2025-12-04T10:39:04.8968026Z   adding: test/test-reports/python-pytest/test_show_pickle/test_show_pickle-5a0533a17352d920.xml (deflated 37%)
2025-12-04T10:39:04.8968943Z   adding: test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-52c38f1c6f8c73a3.xml (deflated 87%)
2025-12-04T10:39:04.8969956Z   adding: test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-b9f5d537cdeb5d23.xml (deflated 72%)
2025-12-04T10:39:04.8974614Z   adding: test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-5b72720469d709f2.xml (deflated 92%)
2025-12-04T10:39:04.8975904Z   adding: test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-d55bde431951e5e5.xml (deflated 88%)
2025-12-04T10:39:04.8976940Z   adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-3e8a7d52dda27c52.xml (deflated 89%)
2025-12-04T10:39:04.8978032Z   adding: test/test-reports/python-pytest/test_autocast/test_autocast-d2cfb69f8dbf9b6a.xml (deflated 84%)
2025-12-04T10:39:04.8978943Z   adding: test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-9f7dcf87b6170169.xml (deflated 57%)
2025-12-04T10:39:04.8980056Z   adding: test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-b4ccbb1370b7e4f4.xml (deflated 72%)
2025-12-04T10:39:04.8981325Z   adding: test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-71dd28c8b1605a5c.xml (deflated 87%)
2025-12-04T10:39:04.8982727Z   adding: test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-56ef1953864ee0d9.xml (deflated 54%)
2025-12-04T10:39:04.8983799Z   adding: test/test-reports/python-pytest/test_dispatch/test_dispatch-e7ac716b0f2368c4.xml (deflated 84%)
2025-12-04T10:39:04.8994515Z   adding: test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-4bbf080031836b93.xml (deflated 97%)
2025-12-04T10:39:04.8995706Z   adding: test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-118c891e19dae991.xml (deflated 85%)
2025-12-04T10:39:04.8996681Z   adding: test/test-reports/python-pytest/test_native_mha/test_native_mha-ac893b3244b1621d.xml (deflated 88%)
2025-12-04T10:39:04.8997652Z   adding: test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-6ec7c771d578c403.xml (deflated 80%)
2025-12-04T10:39:04.9002019Z   adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-f1ea75d0de7e5f14.xml (deflated 90%)
2025-12-04T10:39:04.9003207Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-5ea6c97946172ba0.xml (deflated 84%)
2025-12-04T10:39:04.9004373Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-81c2de770641ab3b.xml (deflated 84%)
2025-12-04T10:39:04.9005495Z   adding: test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-3ade48379f2089f2.xml (deflated 28%)
2025-12-04T10:39:04.9006557Z   adding: test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-d9a135137ba08c3f.xml (deflated 28%)
2025-12-04T10:39:04.9007587Z   adding: test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-291db1f0bf03c756.xml (deflated 28%)
2025-12-04T10:39:04.9008568Z   adding: test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-4406e378597a6498.xml (deflated 28%)
2025-12-04T10:39:04.9009548Z   adding: test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-bf9a8d86df2974c2.xml (deflated 28%)
2025-12-04T10:39:04.9010525Z   adding: test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-9b0832b81ad86620.xml (deflated 28%)
2025-12-04T10:39:04.9011581Z   adding: test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-f5ad8867253b74cc.xml (deflated 28%)
2025-12-04T10:39:04.9012704Z   adding: test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-625e5fdadbbce99f.xml (deflated 91%)
2025-12-04T10:39:04.9013816Z   adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204101301.xml (deflated 43%)
2025-12-04T10:39:04.9014889Z   adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204101326.xml (deflated 43%)
2025-12-04T10:39:04.9039131Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_api.xml (deflated 92%)
2025-12-04T10:39:04.9072895Z ##[group]Run # Remove any previous usage logs if they exist
2025-12-04T10:39:04.9073374Z # Remove any previous usage logs if they exist
2025-12-04T10:39:04.9073759Z rm -f logs-*.zip
2025-12-04T10:39:04.9074104Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-12-04T10:39:04.9074712Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-12-04T10:39:04.9080700Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:04.9081086Z env:
2025-12-04T10:39:04.9081313Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:04.9081574Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:04.9082105Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:04.9082622Z   DEVICE_NAME: 
2025-12-04T10:39:04.9082858Z   DEVICE_TYPE: 
2025-12-04T10:39:04.9083152Z   FILE_SUFFIX: test-default-1-7-linux.4xlarge_57113416392
2025-12-04T10:39:04.9083524Z ##[endgroup]
2025-12-04T10:39:04.9135045Z   adding: usage_log.txt (deflated 58%)
2025-12-04T10:39:04.9161987Z   adding: test/test-reports/lazy.test_ts_opinfo_1.1_ce185177d39b5f3a_.log (deflated 50%)
2025-12-04T10:39:04.9168673Z   adding: test/test-reports/lazy.test_ts_opinfo_1.1_c17033dcd82b518b_.log (deflated 92%)
2025-12-04T10:39:04.9169401Z   adding: test/test-reports/dynamo.test_fake_distributed_1.1_e5d61ab33dd9a8d9_.log (deflated 60%)
2025-12-04T10:39:04.9285599Z   adding: test/test-reports/test_utils_1.1_aa3bbd1fcd46cd20_.log (deflated 95%)
2025-12-04T10:39:04.9302258Z   adding: test/test-reports/test_fx_2.2_8adf07c81be51b08_.log (deflated 90%)
2025-12-04T10:39:04.9303470Z   adding: test/test-reports/test_multiprocessing_spawn_1.1_12d8d0334ca2f725_.log (deflated 82%)
2025-12-04T10:39:04.9306727Z   adding: test/test-reports/nn.test_pooling_1.1_b361c820276e4445_.log (deflated 89%)
2025-12-04T10:39:04.9330364Z   adding: test/test-reports/test_overrides_1.1_30b16cb07f0bacd9_.log (deflated 93%)
2025-12-04T10:39:04.9412569Z   adding: test/test-reports/test_reductions_1.1_3910bf23649b6b7c_.log (deflated 95%)
2025-12-04T10:39:04.9419332Z   adding: test/test-reports/test_spectral_ops_1.1_ab158cefd5da538c_.log (deflated 92%)
2025-12-04T10:39:04.9421994Z   adding: test/test-reports/inductor.test_flex_attention_1.8_941bdf2eebdc3d4b_.log (deflated 89%)
2025-12-04T10:39:04.9424971Z   adding: test/test-reports/inductor.test_flex_attention_3.8_f1bbb7aa7c5aa65a_.log (deflated 90%)
2025-12-04T10:39:04.9427977Z   adding: test/test-reports/inductor.test_flex_attention_4.8_c4f0eaa8172d01e8_.log (deflated 90%)
2025-12-04T10:39:04.9430318Z   adding: test/test-reports/inductor.test_flex_attention_5.8_3007967564078830_.log (deflated 89%)
2025-12-04T10:39:04.9433040Z   adding: test/test-reports/inductor.test_flex_attention_6.8_f6d3a166a7cb1403_.log (deflated 89%)
2025-12-04T10:39:04.9435909Z   adding: test/test-reports/inductor.test_flex_attention_7.8_77993b7bd0feaa12_.log (deflated 90%)
2025-12-04T10:39:04.9438864Z   adding: test/test-reports/inductor.test_flex_attention_8.8_30424ba9fedfb2cc_.log (deflated 90%)
2025-12-04T10:39:04.9439642Z   adding: test/test-reports/inductor.test_cutlass_backend_1.1_391e30ab82e0f6d0_.log (stored 0%)
2025-12-04T10:39:04.9440434Z   adding: test/test-reports/inductor.test_benchmark_fusion_1.1_5e6a82f8adcb35a0_.log (deflated 67%)
2025-12-04T10:39:04.9441249Z   adding: test/test-reports/inductor.test_distributed_patterns_1.1_26a4ce8df5c81b1d_.log (deflated 82%)
2025-12-04T10:39:04.9443475Z   adding: test/test-reports/test_sort_and_select_1.1_4587e01ceb567145_.log (deflated 89%)
2025-12-04T10:39:04.9444239Z   adding: test/test-reports/test_privateuseone_python_backend_1.1_d9a4fc96c8a61386_.log (deflated 58%)
2025-12-04T10:39:04.9455811Z   adding: test/test-reports/test_cpp_api_parity_1.1_26951979d2a5da7d_.log (deflated 95%)
2025-12-04T10:39:04.9456526Z   adding: test/test-reports/test_extension_utils_1.1_0f7408df8b7a93a6_.log (deflated 57%)
2025-12-04T10:39:04.9457192Z   adding: test/test-reports/test_show_pickle_1.1_3c7d99dcdb3c7071_.log (deflated 50%)
2025-12-04T10:39:04.9458734Z   adding: test/test-reports/test_tensorexpr_1.1_9839765a4178b48e_.log (deflated 83%)
2025-12-04T10:39:04.9459444Z   adding: test/test-reports/test_namedtuple_return_api_1.1_fb30154c2890a2c9_.log (deflated 60%)
2025-12-04T10:39:04.9467282Z   adding: test/test-reports/test_fake_tensor_1.1_3776f9c39d28fc18_.log (deflated 91%)
2025-12-04T10:39:04.9468608Z   adding: test/test-reports/test_multiprocessing_1.1_a948c1dc5ea9999d_.log (deflated 83%)
2025-12-04T10:39:04.9469672Z   adding: test/test-reports/test_autograd_fallback_1.1_aa1e5db84a377689_.log (deflated 84%)
2025-12-04T10:39:04.9470537Z   adding: test/test-reports/test_autocast_1.1_df12a60f7a7b7253_.log (deflated 76%)
2025-12-04T10:39:04.9471259Z   adding: test/test-reports/test_jit_disabled_1.1_a5c6dc71901a5cb4_.log (deflated 57%)
2025-12-04T10:39:04.9471992Z   adding: test/test-reports/test_cpp_extensions_mtia_backend_1.1_871304febb525989_.log (deflated 69%)
2025-12-04T10:39:04.9473119Z   adding: test/test-reports/functorch.test_memory_efficient_fusion_1.1_e70dff8476496029_.log (deflated 81%)
2025-12-04T10:39:04.9473975Z   adding: test/test-reports/test_cpp_extensions_stream_and_event_1.1_502b1694d6a26274_.log (deflated 60%)
2025-12-04T10:39:04.9474915Z   adding: test/test-reports/test_dispatch_1.1_f3304102cc6ce82e_.log (deflated 77%)
2025-12-04T10:39:04.9489618Z   adding: test/test-reports/nn.test_convolution_1.1_d43b5a996bf859cb_.log (deflated 95%)
2025-12-04T10:39:04.9491671Z   adding: test/test-reports/test_cpp_extensions_jit_1.1_d377ecad35b88581_.log (deflated 88%)
2025-12-04T10:39:04.9492390Z   adding: test/test-reports/test_cuda_trace_1.1_22d49e01bb9ebb0f_.log (deflated 11%)
2025-12-04T10:39:04.9493231Z   adding: test/test-reports/test_native_mha_1.1_e51239daa17fd4e5_.log (deflated 90%)
2025-12-04T10:39:04.9493921Z   adding: test/test-reports/test_cuda_nvml_based_avail_1.1_c12d6b4df053047e_.log (deflated 11%)
2025-12-04T10:39:04.9494659Z   adding: test/test-reports/test_mobile_optimizer_1.1_7486c9e617de4d9a_.log (deflated 67%)
2025-12-04T10:39:04.9495377Z   adding: test/test-reports/test_cuda_primary_ctx_1.1_9237b068f4ff70d0_.log (deflated 11%)
2025-12-04T10:39:04.9500253Z   adding: test/test-reports/distributions.test_distributions_1.1_6dcfead3ade8a09e_.log (deflated 90%)
2025-12-04T10:39:04.9501065Z   adding: test/test-reports/test_cpp_extensions_aot_ninja_1.1_0e191e2dbf984dd9_.log (deflated 78%)
2025-12-04T10:39:04.9502067Z   adding: test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_80b6369eb540e788_.log (deflated 79%)
2025-12-04T10:39:04.9502882Z   adding: test/test-reports/inductor.test_collective_autotuning_1.1_3939fe02334e0c3c_.log (stored 0%)
2025-12-04T10:39:04.9503636Z   adding: test/test-reports/inductor.test_smoke_1.1_07fc7ca41bc9fb8f_.log (stored 0%)
2025-12-04T10:39:04.9504356Z   adding: test/test-reports/inductor.test_triton_cpu_backend_1.1_d8d6f1016c768543_.log (stored 0%)
2025-12-04T10:39:04.9505144Z   adding: test/test-reports/inductor.test_subgraph_choice_1.1_3ae36bdcac03c395_.log (stored 0%)
2025-12-04T10:39:04.9505906Z   adding: test/test-reports/inductor.test_flex_flash_1.1_ab54e25ed83e2bd3_.log (deflated 50%)
2025-12-04T10:39:04.9506754Z   adding: test/test-reports/inductor.test_cooperative_reductions_1.1_eaaae1f0b957beef_.log (stored 0%)
2025-12-04T10:39:04.9507531Z   adding: test/test-reports/inductor.test_control_deps_1.1_a43993a0735429c5_.log (stored 0%)
2025-12-04T10:39:04.9508255Z   adding: test/test-reports/inductor.test_profiler_1.1_1ddcf497ca15e11d_.log (stored 0%)
2025-12-04T10:39:04.9509009Z   adding: test/test-reports/inductor.test_mix_order_reduction_1.1_2c3a0ccd8eba8a2e_.log (stored 0%)
2025-12-04T10:39:04.9509774Z   adding: test/test-reports/inductor.test_fxir_backend_1.1_8a44b4fc41f71961_.log (stored 0%)
2025-12-04T10:39:04.9510477Z   adding: test/test-reports/nn.attention.test_fa4_1.1_f586d03fe3183063_.log (deflated 50%)
2025-12-04T10:39:04.9511178Z   adding: test/test-reports/test_cuda_sanitizer_1.1_3174736c6e2a4e57_.log (deflated 49%)
2025-12-04T10:39:04.9511906Z   adding: test/test-reports/functorch.test_aotdispatch_8.13_e6e53a3c33d659a2_.log (deflated 52%)
2025-12-04T10:39:04.9512623Z   adding: test/test-reports/test_accelerator_1.1_d8bfe2fc4fcbbaaf_.log (stored 0%)
2025-12-04T10:39:04.9513343Z   adding: test/test-reports/inductor.test_collective_autotuning_1.1_9f4ff0c490e51813_.log (stored 0%)
2025-12-04T10:39:04.9514192Z   adding: test/test-reports/inductor.test_triton_cpu_backend_1.1_689493c1443ef7dd_.log (stored 0%)
2025-12-04T10:39:04.9514912Z   adding: test/test-reports/inductor.test_smoke_1.1_1d18736957b96fee_.log (stored 0%)
2025-12-04T10:39:04.9515619Z   adding: test/test-reports/inductor.test_subgraph_choice_1.1_bfaa1f9ddb4b0e3c_.log (stored 0%)
2025-12-04T10:39:04.9516414Z   adding: test/test-reports/inductor.test_flex_flash_1.1_75b03153a58d128a_.log (deflated 50%)
2025-12-04T10:39:04.9517198Z   adding: test/test-reports/inductor.test_cooperative_reductions_1.1_5c42cae865beb50a_.log (stored 0%)
2025-12-04T10:39:04.9518039Z   adding: test/test-reports/inductor.test_control_deps_1.1_5e016debbf530124_.log (stored 0%)
2025-12-04T10:39:04.9518733Z   adding: test/test-reports/inductor.test_profiler_1.1_87018779bb8b4ebe_.log (stored 0%)
2025-12-04T10:39:04.9519473Z   adding: test/test-reports/inductor.test_mix_order_reduction_1.1_b91b1f32509e98f4_.log (stored 0%)
2025-12-04T10:39:04.9520216Z   adding: test/test-reports/nn.attention.test_fa4_1.1_2d27326c8086507d_.log (deflated 49%)
2025-12-04T10:39:04.9520931Z   adding: test/test-reports/inductor.test_fxir_backend_1.1_73b4a70db97e5634_.log (stored 0%)
2025-12-04T10:39:04.9521619Z   adding: test/test-reports/test_cuda_sanitizer_1.1_175036a6475cc16b_.log (deflated 49%)
2025-12-04T10:39:04.9522281Z   adding: test/test-reports/test_accelerator_1.1_0766531efb5363f1_.log (stored 0%)
2025-12-04T10:39:04.9522998Z   adding: test/test-reports/functorch.test_aotdispatch_8.13_c045d4aa30ce3c75_.log (deflated 90%)
2025-12-04T10:39:04.9523712Z   adding: test/test-reports/cpp.Dict_test_1.1_381d6081ea256178_.log (deflated 42%)
2025-12-04T10:39:04.9524354Z   adding: test/test-reports/cpp.Dimname_test_1.1_72008b6e19c8c579_.log (deflated 42%)
2025-12-04T10:39:04.9525044Z   adding: test/test-reports/cpp.NamedTensor_test_1.1_a8adae39da770354_.log (deflated 42%)
2025-12-04T10:39:04.9525749Z   adding: test/test-reports/cpp.apply_utils_test_1.1_a77f0a9e0cbb565d_.log (deflated 42%)
2025-12-04T10:39:04.9526400Z   adding: test/test-reports/cpp.atest_1.1_bde4a9206206040a_.log (deflated 42%)
2025-12-04T10:39:04.9527015Z   adding: test/test-reports/cpp.basic_1.1_3fd972ad3757b6ce_.log (deflated 42%)
2025-12-04T10:39:04.9527672Z   adding: test/test-reports/cpp.broadcast_test_1.1_38e097a4f665029f_.log (deflated 42%)
2025-12-04T10:39:04.9528373Z   adding: test/test-reports/cpp.cpu_generator_test_1.1_7798a192f5a2bea2_.log (deflated 42%)
2025-12-04T10:39:04.9529067Z   adding: test/test-reports/cpp.dlconvertor_test_1.1_1573fee34005937c_.log (deflated 42%)
2025-12-04T10:39:04.9529800Z   adding: test/test-reports/cpp.extension_backend_test_1.1_d543217914236429_.log (deflated 42%)
2025-12-04T10:39:04.9530522Z   adding: test/test-reports/cpp.lazy_tensor_test_1.1_7088b36ec8541251_.log (deflated 42%)
2025-12-04T10:39:04.9531210Z   adding: test/test-reports/cpp.legacy_vmap_test_1.1_297756c3b999600a_.log (deflated 42%)
2025-12-04T10:39:04.9531867Z   adding: test/test-reports/cpp.native_test_1.1_6c468de202886146_.log (deflated 42%)
2025-12-04T10:39:04.9532550Z   adding: test/test-reports/cpp.operators_test_1.1_eeaf7b20d49ce88d_.log (deflated 42%)
2025-12-04T10:39:04.9533255Z   adding: test/test-reports/cpp.scalar_tensor_test_1.1_955f465741011e71_.log (deflated 42%)
2025-12-04T10:39:04.9533940Z   adding: test/test-reports/cpp.scalar_test_1.1_317e4f9f87d85651_.log (deflated 42%)
2025-12-04T10:39:04.9534627Z   adding: test/test-reports/cpp.tensor_iterator_test_1.1_172b5d51e748e337_.log (deflated 42%)
2025-12-04T10:39:04.9535374Z   adding: test/test-reports/cpp.undefined_tensor_test_1.1_8bc8e21fb3545a94_.log (deflated 42%)
2025-12-04T10:39:04.9536094Z   adding: test/test-reports/cpp.wrapdim_test_1.1_5651e5d3fa0903b8_.log (deflated 42%)
2025-12-04T10:39:04.9536762Z   adding: test/test-reports/cpp.Dimname_test_1.1_e70da4f63fb56431_.log (deflated 57%)
2025-12-04T10:39:04.9537436Z   adding: test/test-reports/cpp.NamedTensor_test_1.1_e2dda67c304b834f_.log (deflated 70%)
2025-12-04T10:39:04.9538112Z   adding: test/test-reports/cpp.Dict_test_1.1_00dfca5975d5f353_.log (deflated 84%)
2025-12-04T10:39:04.9538808Z   adding: test/test-reports/cpp.apply_utils_test_1.1_82929009bd41513d_.log (deflated 63%)
2025-12-04T10:39:04.9539452Z   adding: test/test-reports/cpp.atest_1.1_f9a79940f9d0d516_.log (deflated 72%)
2025-12-04T10:39:04.9540106Z   adding: test/test-reports/cpp.broadcast_test_1.1_c36e61a34d1824f1_.log (deflated 45%)
2025-12-04T10:39:04.9540797Z   adding: test/test-reports/cpp.basic_1.1_1d2a90bc489f36db_.log (deflated 63%)
2025-12-04T10:39:04.9541467Z   adding: test/test-reports/cpp.cpu_generator_test_1.1_13e6d74012a1865b_.log (deflated 78%)
2025-12-04T10:39:04.9542220Z   adding: test/test-reports/cpp.dlconvertor_test_1.1_0ff852dab32785e1_.log (deflated 63%)
2025-12-04T10:39:04.9542955Z   adding: test/test-reports/cpp.extension_backend_test_1.1_8af415141b9d86bc_.log (deflated 46%)
2025-12-04T10:39:04.9543675Z   adding: test/test-reports/cpp.lazy_tensor_test_1.1_ff41d900d5f5a679_.log (deflated 51%)
2025-12-04T10:39:04.9544365Z   adding: test/test-reports/cpp.native_test_1.1_0d9bd6b0b9cfbd14_.log (deflated 50%)
2025-12-04T10:39:04.9545027Z   adding: test/test-reports/cpp.legacy_vmap_test_1.1_58eed589f55a3758_.log (deflated 81%)
2025-12-04T10:39:04.9545714Z   adding: test/test-reports/cpp.operators_test_1.1_7183d68af9f92809_.log (deflated 58%)
2025-12-04T10:39:04.9546820Z   adding: test/test-reports/cpp.scalar_tensor_test_1.1_7d35ca0bf22cfdda_.log (deflated 58%)
2025-12-04T10:39:04.9547500Z   adding: test/test-reports/cpp.scalar_test_1.1_1ce0047686698d90_.log (deflated 57%)
2025-12-04T10:39:04.9548316Z   adding: test/test-reports/cpp.undefined_tensor_test_1.1_e12adbe83c17981b_.log (deflated 46%)
2025-12-04T10:39:04.9549032Z   adding: test/test-reports/cpp.wrapdim_test_1.1_361a5f31fcca6ff4_.log (deflated 45%)
2025-12-04T10:39:04.9549733Z   adding: test/test-reports/cpp.tensor_iterator_test_1.1_a0fd12e353fae451_.log (deflated 88%)
2025-12-04T10:39:04.9578059Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-12-04T10:39:04.9578608Z # Remove any previous debugging artifacts if they exist
2025-12-04T10:39:04.9579018Z rm -f debug-*.zip
2025-12-04T10:39:04.9579311Z if [ -d 'test/debug' ]; then
2025-12-04T10:39:04.9579677Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-12-04T10:39:04.9580015Z fi
2025-12-04T10:39:04.9585814Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:04.9586203Z env:
2025-12-04T10:39:04.9586419Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:04.9586789Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:04.9587253Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:04.9587764Z   DEVICE_NAME: 
2025-12-04T10:39:04.9587996Z   DEVICE_TYPE: 
2025-12-04T10:39:04.9588301Z   FILE_SUFFIX: test-default-1-7-linux.4xlarge_57113416392
2025-12-04T10:39:04.9588677Z ##[endgroup]
2025-12-04T10:39:04.9674738Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:39:04.9675068Z with:
2025-12-04T10:39:04.9675304Z   s3-bucket: gha-artifacts
2025-12-04T10:39:04.9675633Z   s3-prefix: pytorch/pytorch/19921726337/1/artifact

2025-12-04T10:39:04.9675991Z   retention-days: 14
2025-12-04T10:39:04.9676236Z   if-no-files-found: warn
2025-12-04T10:39:04.9676514Z   path: test-jsons-*.zip
2025-12-04T10:39:04.9676775Z   name: artifact
2025-12-04T10:39:04.9677000Z   region: us-east-1
2025-12-04T10:39:04.9677239Z env:
2025-12-04T10:39:04.9677466Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:04.9677726Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:04.9678188Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:04.9678702Z   DEVICE_NAME: 
2025-12-04T10:39:04.9678927Z   DEVICE_TYPE: 
2025-12-04T10:39:04.9679155Z ##[endgroup]
2025-12-04T10:39:05.3273611Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T10:39:05.3274107Z With the provided path, there will be 1 file uploaded
2025-12-04T10:39:05.3274557Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact
2025-12-04T10:39:05.3321752Z Starting upload of test-jsons-test-default-1-7-linux.4xlarge_57113416392.zip
2025-12-04T10:39:05.4721842Z Finished upload of test-jsons-test-default-1-7-linux.4xlarge_57113416392.zip
2025-12-04T10:39:05.4920729Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:39:05.4921070Z with:
2025-12-04T10:39:05.4921414Z   s3-bucket: gha-artifacts
2025-12-04T10:39:05.4921747Z   s3-prefix: pytorch/pytorch/19921726337/1/artifact

2025-12-04T10:39:05.4922114Z   retention-days: 14
2025-12-04T10:39:05.4922362Z   if-no-files-found: error
2025-12-04T10:39:05.4922650Z   path: test-reports-*.zip
2025-12-04T10:39:05.4922916Z   name: artifact
2025-12-04T10:39:05.4923305Z   region: us-east-1
2025-12-04T10:39:05.4923531Z env:
2025-12-04T10:39:05.4923756Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:05.4924038Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:05.4924490Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:05.4925012Z   DEVICE_NAME: 
2025-12-04T10:39:05.4925256Z   DEVICE_TYPE: 
2025-12-04T10:39:05.4925490Z ##[endgroup]
2025-12-04T10:39:05.8535709Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T10:39:05.8536217Z With the provided path, there will be 1 file uploaded
2025-12-04T10:39:05.8536680Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact
2025-12-04T10:39:05.8583746Z Starting upload of test-reports-test-default-1-7-linux.4xlarge_57113416392.zip
2025-12-04T10:39:05.9962492Z Finished upload of test-reports-test-default-1-7-linux.4xlarge_57113416392.zip
2025-12-04T10:39:06.0160728Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:39:06.0161069Z with:
2025-12-04T10:39:06.0161325Z   s3-bucket: gha-artifacts
2025-12-04T10:39:06.0161663Z   s3-prefix: pytorch/pytorch/19921726337/1/artifact

2025-12-04T10:39:06.0162026Z   retention-days: 14
2025-12-04T10:39:06.0162276Z   if-no-files-found: ignore
2025-12-04T10:39:06.0162560Z   path: logs-*.zip
2025-12-04T10:39:06.0162802Z   name: artifact
2025-12-04T10:39:06.0163035Z   region: us-east-1
2025-12-04T10:39:06.0163268Z env:
2025-12-04T10:39:06.0163490Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:06.0163756Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:06.0164223Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:06.0164742Z   DEVICE_NAME: 
2025-12-04T10:39:06.0164972Z   DEVICE_TYPE: 
2025-12-04T10:39:06.0165198Z ##[endgroup]
2025-12-04T10:39:06.3530385Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T10:39:06.3531148Z With the provided path, there will be 1 file uploaded
2025-12-04T10:39:06.3531923Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact
2025-12-04T10:39:06.3580942Z Starting upload of logs-test-default-1-7-linux.4xlarge_57113416392.zip
2025-12-04T10:39:06.5056089Z Finished upload of logs-test-default-1-7-linux.4xlarge_57113416392.zip
2025-12-04T10:39:06.5275202Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:39:06.5275806Z with:
2025-12-04T10:39:06.5276184Z   s3-bucket: gha-artifacts
2025-12-04T10:39:06.5276759Z   s3-prefix: pytorch/pytorch/19921726337/1/artifact

2025-12-04T10:39:06.5277382Z   retention-days: 14
2025-12-04T10:39:06.5277822Z   if-no-files-found: ignore
2025-12-04T10:39:06.5278309Z   path: debug-*.zip
2025-12-04T10:39:06.5278739Z   name: artifact
2025-12-04T10:39:06.5279146Z   region: us-east-1
2025-12-04T10:39:06.5279549Z env:
2025-12-04T10:39:06.5279923Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:06.5280381Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:06.5281191Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:06.5282132Z   DEVICE_NAME: 
2025-12-04T10:39:06.5282522Z   DEVICE_TYPE: 
2025-12-04T10:39:06.5282921Z ##[endgroup]
2025-12-04T10:39:06.8544864Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-12-04T10:39:06.8744600Z ##[group]Run # shellcheck disable=SC2156
2025-12-04T10:39:06.8744993Z # shellcheck disable=SC2156
2025-12-04T10:39:06.8745694Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-12-04T10:39:06.8752128Z shell: /usr/bin/bash -e {0}
2025-12-04T10:39:06.8752421Z env:
2025-12-04T10:39:06.8752651Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:06.8752922Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:06.8753486Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:06.8754006Z   DEVICE_NAME: 
2025-12-04T10:39:06.8754243Z   DEVICE_TYPE: 
2025-12-04T10:39:06.8754453Z ##[endgroup]
2025-12-04T10:39:07.2007453Z Prepare all required actions
2025-12-04T10:39:07.2008119Z Getting action download info
2025-12-04T10:39:07.3786954Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548)
2025-12-04T10:39:07.7447224Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-12-04T10:39:07.7447589Z with:
2025-12-04T10:39:07.7447809Z   job_id: 57113416392
2025-12-04T10:39:07.7448235Z   job_name: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge)
2025-12-04T10:39:07.7448700Z   workflow_name: pull
2025-12-04T10:39:07.7448962Z   workflow_run_id: 19921726337
2025-12-04T10:39:07.7449244Z   workflow_attempt: 1
2025-12-04T10:39:07.7449485Z env:
2025-12-04T10:39:07.7449689Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:07.7449969Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:07.7450434Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:07.7450935Z   DEVICE_NAME: 
2025-12-04T10:39:07.7451219Z   DEVICE_TYPE: 
2025-12-04T10:39:07.7451433Z ##[endgroup]
2025-12-04T10:39:07.7497173Z ##[group]Run actions/setup-python@v6
2025-12-04T10:39:07.7497485Z with:
2025-12-04T10:39:07.7497713Z   python-version: 3.10
2025-12-04T10:39:07.7497960Z   check-latest: false
2025-12-04T10:39:07.7498310Z   token: ***
2025-12-04T10:39:07.7498554Z   update-environment: true
2025-12-04T10:39:07.7498844Z   allow-prereleases: false
2025-12-04T10:39:07.7499115Z   freethreaded: false
2025-12-04T10:39:07.7499362Z env:
2025-12-04T10:39:07.7499581Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:07.7499835Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:07.7500294Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:07.7500809Z   DEVICE_NAME: 
2025-12-04T10:39:07.7501029Z   DEVICE_TYPE: 
2025-12-04T10:39:07.7501253Z ##[endgroup]
2025-12-04T10:39:08.2237983Z ##[group]Installed versions
2025-12-04T10:39:08.2247088Z Version 3.10 was not found in the local cache
2025-12-04T10:39:08.2530556Z (node:78845) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T10:39:08.2531355Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T10:39:08.6462154Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system.
The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json
2025-12-04T10:39:08.6700719Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-12-04T10:39:08.6701168Z with:
2025-12-04T10:39:08.6701384Z env:
2025-12-04T10:39:08.6701589Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:08.6701871Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:08.6702333Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:08.6702857Z   DEVICE_NAME: 
2025-12-04T10:39:08.6703098Z   DEVICE_TYPE: 
2025-12-04T10:39:08.6703329Z ##[endgroup]
2025-12-04T10:39:08.6727833Z ##[group]Run set -eou pipefail
2025-12-04T10:39:08.6728150Z set -eou pipefail
2025-12-04T10:39:08.6728431Z 
2025-12-04T10:39:08.6728808Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-12-04T10:39:08.6729284Z for _ in $(seq 1440); do
2025-12-04T10:39:08.6729612Z     # Break if no ssh session exists anymore
2025-12-04T10:39:08.6730052Z     if [ "$(who)" = "" ]; then
2025-12-04T10:39:08.6730403Z       break
2025-12-04T10:39:08.6730651Z     fi
2025-12-04T10:39:08.6730880Z     echo "."
2025-12-04T10:39:08.6731128Z     sleep 5
2025-12-04T10:39:08.6731362Z done
2025-12-04T10:39:08.6737127Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:08.6737591Z env:
2025-12-04T10:39:08.6737799Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:08.6738079Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:08.6738544Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:08.6739043Z   DEVICE_NAME: 
2025-12-04T10:39:08.6739277Z   DEVICE_TYPE: 
2025-12-04T10:39:08.6739502Z ##[endgroup]
2025-12-04T10:39:08.6763979Z Holding runner for 2 hours until all ssh sessions have logged out
2025-12-04T10:39:08.6843372Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T10:39:08.6843936Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T10:39:08.6844399Z # shellcheck disable=SC2046
2025-12-04T10:39:08.6844741Z docker stop $(docker ps -q) || true
2025-12-04T10:39:08.6845092Z # Prune all of the docker images
2025-12-04T10:39:08.6845413Z docker system prune -af
2025-12-04T10:39:08.6851340Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:08.6851732Z env:
2025-12-04T10:39:08.6851938Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:39:08.6852215Z   HAS_NVIDIA_GPU: false
2025-12-04T10:39:08.6852672Z   DOCKER_CONTAINER_ID: a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:08.6853168Z   DEVICE_NAME: 
2025-12-04T10:39:08.6853397Z   DEVICE_TYPE: 
2025-12-04T10:39:08.6853622Z ##[endgroup]
2025-12-04T10:39:19.5317714Z a6b1642cd9ec
2025-12-04T10:39:20.0446586Z Deleted Containers:
2025-12-04T10:39:20.0447061Z a6b1642cd9ecb5074aa984cf2500ab0abe0961ebab82b5e8a4b49b9dea0b715e
2025-12-04T10:39:20.0447427Z 
2025-12-04T10:39:22.8205232Z Deleted Images:
2025-12-04T10:39:22.8206230Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T10:39:22.8207547Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:7e1c24debf12b78c62b7f0a71dfed065e57bf2457fa65b1cbaff63d50a90686e
2025-12-04T10:39:22.8208496Z deleted: sha256:9780dc2f97696fdbf8949c2c8801180dae9765d36920db1a5b02a03b70dec983
2025-12-04T10:39:22.8209156Z deleted: sha256:1655a0e847d205d6634bfbbfce7cd9912d00cbf1b30a6ed00c11c98c90310e81
2025-12-04T10:39:22.8209805Z deleted: sha256:a67515eca06118ad375ea2c65f2cadcae83c750f6457766168f49493e10101a9
2025-12-04T10:39:22.8210459Z deleted: sha256:df50442f3275fd2470632ee3e6315a6279d0c203f58fdbb7e42c4ca8b542aee9
2025-12-04T10:39:22.8211099Z deleted: sha256:7e9b57422da4201165f6c3e6094c0210568d01ac199e7fe62562847f2df7a8f5
2025-12-04T10:39:22.8211747Z deleted: sha256:64aeabfa4aa7e3cc32970c5e7374307d00eb97c7b0d451bbb5f9b81f8eca99d8
2025-12-04T10:39:22.8212728Z deleted: sha256:9bee1f72d410c28bc8e63cb60937d51fa6df12e94168b5e11264c1a8fb7f1e59
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2025-12-04T10:39:22.8215387Z deleted: sha256:5730e428a1a7ec449d3ae196956ff8969a2236991b3669a1fccebfb83173dbc7
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2025-12-04T10:39:22.8216692Z deleted: sha256:4551e721e91f4f2503b43b8ef44712022a5190ca2c9542bce21ff330471559df
2025-12-04T10:39:22.8217321Z deleted: sha256:b5e7c06f351c69eb6e9868639d998f6a60f327c0baf1d5e8e0128876fe387e67
2025-12-04T10:39:22.8217963Z deleted: sha256:d188f066b2214d5e80b434f9057e2ff0bf7a352843673376e7336669a36e4d62
2025-12-04T10:39:22.8218670Z deleted: sha256:36a871141e42b2864c7d5e44fd26919212683b1c2c73aeb6713a168964c4f2bf
2025-12-04T10:39:22.8219320Z deleted: sha256:6a4d7600e85d78dfe845dfbc33cfb2eac3ced05651e44e531f23994d3f2cee6d
2025-12-04T10:39:22.8219971Z deleted: sha256:2c3bfd3848da0e4a68693f708b50e8de8af04dbafe33b6cf017234e2b475a28d
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2025-12-04T10:39:22.8221358Z deleted: sha256:f16d9f45672ad7da63959f6b40652ee13cf82750aeee55c578d1d78d4d8348c3
2025-12-04T10:39:22.8221995Z deleted: sha256:b945ee37b332b7b3ce3d4e03401e4b5533fb1c213f388b3d1378627c10d23126
2025-12-04T10:39:22.8222653Z deleted: sha256:e10f9c031e6cc1f8e3bfdfbfd06f5012447e55361c1deaba64b56bc7fd1e063a
2025-12-04T10:39:22.8223321Z deleted: sha256:0177dd8a10bb1df62b579491c272a5c9cda910e4fdabd72c7c50efbd8e3fe2a3
2025-12-04T10:39:22.8223993Z deleted: sha256:fe3c90cc48d38cd324eb2598f9e9f011dbd06cc4dd5b5d1ec48160b01c82a6d9
2025-12-04T10:39:22.8224634Z deleted: sha256:32d8605151775dd6403a0487d5279c2d2ad19c2778a0017de58d465446e65f81
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2025-12-04T10:39:22.8525761Z Total reclaimed space: 15.38GB
2025-12-04T10:39:22.8610170Z Post job cleanup.
2025-12-04T10:39:22.8657108Z Post job cleanup.
2025-12-04T10:39:22.9984477Z (node:78940) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T10:39:22.9985323Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T10:39:23.0137649Z Post job cleanup.
2025-12-04T10:39:23.0193465Z Post job cleanup.
2025-12-04T10:39:23.1206278Z [command]/usr/bin/git version
2025-12-04T10:39:23.1243431Z git version 2.50.1
2025-12-04T10:39:23.1278252Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/235c2db4-c8ba-4eff-ac6a-2748c6e72af6/.gitconfig'
2025-12-04T10:39:23.1291628Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/235c2db4-c8ba-4eff-ac6a-2748c6e72af6' before making global git config changes
2025-12-04T10:39:23.1292595Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T10:39:23.1296730Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T10:39:23.1334648Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T10:39:23.1372691Z [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' || :"
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2025-12-04T10:39:23.6368782Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T10:39:23.6389885Z http.https://github.com/.extraheader
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2025-12-04T10:39:23.6428122Z [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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2025-12-04T10:39:24.2688532Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:39:24.3818579Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
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2025-12-04T10:39:24.3909927Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
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2025-12-04T10:39:24.4126437Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
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2025-12-04T10:39:24.4173625Z 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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2025-12-04T10:39:24.4528835Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
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2025-12-04T10:39:24.4673654Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-12-04T10:39:24.7499007Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:39:24.7520873Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:39:24.7543054Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:39:24.7618412Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:39:24.7711581Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:39:24.7733925Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:39:24.7756343Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:39:24.7778600Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:39:24.7801082Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:39:24.7868198Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:39:24.8104396Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:39:24.8219834Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:39:24.8265604Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:39:24.8400771Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:39:24.8423361Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:39:24.8542037Z A job completed hook has been configured by the self-hosted runner administrator
2025-12-04T10:39:24.8567408Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-12-04T10:39:24.8572591Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:39:24.8572997Z ##[endgroup]
2025-12-04T10:39:32.9388262Z Cleaning up orphan processes