2025-12-04T08:09:59.4926387Z Current runner version: '2.330.0'
2025-12-04T08:09:59.4932989Z Runner name: 'i-0c1d8a0372d6a4d35'
2025-12-04T08:09:59.4933810Z Runner group name: 'default'
2025-12-04T08:09:59.4934741Z Machine name: 'ip-10-0-11-123'
2025-12-04T08:09:59.4937579Z ##[group]GITHUB_TOKEN Permissions
2025-12-04T08:09:59.4939890Z Contents: read
2025-12-04T08:09:59.4940549Z Metadata: read
2025-12-04T08:09:59.4941048Z ##[endgroup]
2025-12-04T08:09:59.4943664Z Secret source: Actions
2025-12-04T08:09:59.4944694Z Prepare workflow directory
2025-12-04T08:09:59.5465021Z Prepare all required actions
2025-12-04T08:09:59.5505599Z Getting action download info
2025-12-04T08:09:59.9010709Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd)
2025-12-04T08:10:02.0834767Z Download action repository 'pytorch/pytorch@main' (SHA:ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T08:10:16.5015700Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-12-04T08:10:16.8415864Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-12-04T08:10:17.0670184Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-12-04T08:10:17.2722619Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T08:10:17.5548129Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T08:10:17.8378406Z Getting action download info
2025-12-04T08:10:18.0006317Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5)
2025-12-04T08:10:18.2626530Z Getting action download info
2025-12-04T08:10:18.3840724Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-12-04T08:10:18.6157788Z Getting action download info
2025-12-04T08:10:18.7653581Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-12-04T08:10:18.9879574Z Getting action download info
2025-12-04T08:10:19.1388465Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T08:10:19.1393083Z ##[group] Inputs
2025-12-04T08:10:19.1393486Z   build-environment: linux-jammy-py3.14-clang12
2025-12-04T08:10:19.1396759Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}
2025-12-04T08:10:19.1400465Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:10:19.1401289Z   sync-tag: 
2025-12-04T08:10:19.1402171Z   timeout-minutes: 240
2025-12-04T08:10:19.1402457Z   use-gha: 
2025-12-04T08:10:19.1402963Z   dashboard-tag: 
2025-12-04T08:10:19.1403337Z   s3-bucket: gha-artifacts
2025-12-04T08:10:19.1403624Z   aws-role-to-assume: 
2025-12-04T08:10:19.1404248Z   disable-monitor: false
2025-12-04T08:10:19.1404564Z   monitor-log-interval: 5
2025-12-04T08:10:19.1404880Z   monitor-data-collect-interval: 1
2025-12-04T08:10:19.1405198Z ##[endgroup]
2025-12-04T08:10:19.1405641Z Complete job name: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T08:10:19.1895279Z A job started hook has been configured by the self-hosted runner administrator
2025-12-04T08:10:19.1999875Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-12-04T08:10:19.2009280Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:10:19.2009963Z ##[endgroup]
2025-12-04T08:10:20.4523841Z Runner Type: linux.2xlarge
2025-12-04T08:10:20.4524363Z Instance Type: c5.2xlarge
2025-12-04T08:10:20.4524630Z AMI Name: unknown
2025-12-04T08:10:20.4558384Z AMI ID: ami-08982f1c5bf93d976
2025-12-04T08:10:25.7863885Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-12-04T08:10:25.7864377Z with:
2025-12-04T08:10:25.7864968Z   github-secret: ***
2025-12-04T08:10:25.7865725Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-12-04T08:10:25.7866529Z   activate-with-label: false
2025-12-04T08:10:25.7866819Z   label: with-ssh
2025-12-04T08:10:25.7867062Z   remove-existing-keys: true
2025-12-04T08:10:25.7867349Z   fail-silently: true
2025-12-04T08:10:25.7867606Z env:
2025-12-04T08:10:25.7867813Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:10:25.7868090Z ##[endgroup]
2025-12-04T08:10:25.9008856Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-12-04T08:10:25.9010185Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-12-04T08:10:25.9188900Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-12-04T08:10:25.9189380Z with:
2025-12-04T08:10:25.9189591Z   no-sudo: true
2025-12-04T08:10:25.9189838Z   submodules: recursive
2025-12-04T08:10:25.9190211Z   fetch-depth: 0
2025-12-04T08:10:25.9190432Z env:
2025-12-04T08:10:25.9190651Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:10:25.9190923Z ##[endgroup]
2025-12-04T08:10:25.9278780Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:10:25.9279772Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:10:25.9288523Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:10:25.9288924Z env:
2025-12-04T08:10:25.9289181Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:10:25.9289497Z ##[endgroup]
2025-12-04T08:10:25.9380892Z ##[group]Run # Use all available CPUs for fetching
2025-12-04T08:10:25.9381356Z # Use all available CPUs for fetching
2025-12-04T08:10:25.9381732Z cd "${GITHUB_WORKSPACE}"
2025-12-04T08:10:25.9382071Z git config --global fetch.parallel 0
2025-12-04T08:10:25.9382480Z git config --global submodule.fetchJobs 0
2025-12-04T08:10:25.9382838Z 
2025-12-04T08:10:25.9383264Z # Clean workspace. The default checkout action should also do this, but
2025-12-04T08:10:25.9383783Z # do it here as well just in case
2025-12-04T08:10:25.9384117Z if [[ -d .git ]]; then
2025-12-04T08:10:25.9384422Z   if [ -z "${NO_SUDO}" ]; then
2025-12-04T08:10:25.9384733Z     sudo git clean -ffdx
2025-12-04T08:10:25.9385028Z   else
2025-12-04T08:10:25.9385273Z     git clean -ffdx
2025-12-04T08:10:25.9385534Z   fi
2025-12-04T08:10:25.9385757Z fi
2025-12-04T08:10:25.9391124Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:10:25.9391530Z env:
2025-12-04T08:10:25.9391748Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:10:25.9392164Z   NO_SUDO: true
2025-12-04T08:10:25.9392399Z ##[endgroup]
2025-12-04T08:10:25.9530588Z ##[group]Run actions/checkout@v4
2025-12-04T08:10:25.9531134Z with:
2025-12-04T08:10:25.9531583Z   ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:10:25.9532112Z   fetch-depth: 0
2025-12-04T08:10:25.9532532Z   submodules: recursive
2025-12-04T08:10:25.9532980Z   show-progress: false
2025-12-04T08:10:25.9533446Z   repository: pytorch/pytorch
2025-12-04T08:10:25.9534174Z   token: ***
2025-12-04T08:10:25.9534567Z   ssh-strict: true
2025-12-04T08:10:25.9534993Z   ssh-user: git
2025-12-04T08:10:25.9535419Z   persist-credentials: true
2025-12-04T08:10:25.9535913Z   clean: true
2025-12-04T08:10:25.9536355Z   sparse-checkout-cone-mode: true
2025-12-04T08:10:25.9536902Z   fetch-tags: false
2025-12-04T08:10:25.9537316Z   lfs: false
2025-12-04T08:10:25.9537729Z   set-safe-directory: true
2025-12-04T08:10:25.9538217Z env:
2025-12-04T08:10:25.9538604Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:10:25.9539098Z ##[endgroup]
2025-12-04T08:10:26.0657895Z Syncing repository: pytorch/pytorch
2025-12-04T08:10:26.0659994Z ##[group]Getting Git version info
2025-12-04T08:10:26.0660925Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T08:10:26.0662194Z [command]/usr/bin/git version
2025-12-04T08:10:26.0662723Z git version 2.50.1
2025-12-04T08:10:26.0664387Z ##[endgroup]
2025-12-04T08:10:26.0670097Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/307803e6-cb93-4a79-9d8b-497a129663db/.gitconfig'
2025-12-04T08:10:26.0672381Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/307803e6-cb93-4a79-9d8b-497a129663db' before making global git config changes
2025-12-04T08:10:26.0674346Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T08:10:26.0676171Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:10:26.0702721Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T08:10:26.0705429Z ##[group]Initializing the repository
2025-12-04T08:10:26.0709319Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:10:26.0738482Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-12-04T08:10:26.0739123Z hint: is subject to change. To configure the initial branch name to use in all
2025-12-04T08:10:26.0739715Z hint: of your new repositories, which will suppress this warning, call:
2025-12-04T08:10:26.0740150Z hint:
2025-12-04T08:10:26.0740442Z hint: 	git config --global init.defaultBranch <name>
2025-12-04T08:10:26.0740804Z hint:
2025-12-04T08:10:26.0741149Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-12-04T08:10:26.0741741Z hint: 'development'. The just-created branch can be renamed via this command:
2025-12-04T08:10:26.0742196Z hint:
2025-12-04T08:10:26.0742427Z hint: 	git branch -m <name>
2025-12-04T08:10:26.0742704Z hint:
2025-12-04T08:10:26.0743073Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-12-04T08:10:26.0743813Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-12-04T08:10:26.0748836Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-12-04T08:10:26.0772717Z ##[endgroup]
2025-12-04T08:10:26.0773508Z ##[group]Disabling automatic garbage collection
2025-12-04T08:10:26.0776110Z [command]/usr/bin/git config --local gc.auto 0
2025-12-04T08:10:26.0798399Z ##[endgroup]
2025-12-04T08:10:26.0798809Z ##[group]Setting up auth
2025-12-04T08:10:26.0804843Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T08:10:26.0828821Z [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' || :"
2025-12-04T08:10:26.1091882Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T08:10:26.1114112Z [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' || :"
2025-12-04T08:10:26.1357742Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T08:10:26.1382338Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url
2025-12-04T08:10:26.1632031Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:10:26.1688768Z ##[endgroup]
2025-12-04T08:10:26.1689230Z ##[group]Fetching the repository
2025-12-04T08:10:26.1699234Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-12-04T08:11:24.2354013Z From https://github.com/pytorch/pytorch
2025-12-04T08:11:24.2354547Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-12-04T08:11:24.2355342Z  * [new branch]              2.9.1                       -> origin/2.9.1
2025-12-04T08:11:24.2356011Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-12-04T08:11:24.2356723Z  * [new branch]              Flamefire-patch-1           -> origin/Flamefire-patch-1
2025-12-04T08:11:24.2357651Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-12-04T08:11:24.2358687Z  * [new branch]              HOPrintFunc                 -> origin/HOPrintFunc
2025-12-04T08:11:24.2361018Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-12-04T08:11:24.2363318Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-12-04T08:11:24.2364332Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-12-04T08:11:24.2365859Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-12-04T08:11:24.2367224Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-12-04T08:11:24.2368312Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-12-04T08:11:24.2369719Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-12-04T08:11:24.2371085Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-12-04T08:11:24.2372209Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-12-04T08:11:24.2373928Z  * [new branch]              activation_bench            -> origin/activation_bench
2025-12-04T08:11:24.2375664Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-12-04T08:11:24.2377424Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-12-04T08:11:24.2378749Z  * [new branch]              adi/test                    -> origin/adi/test
2025-12-04T08:11:24.2380081Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-12-04T08:11:24.2381730Z  * [new branch]              adi/test_m8g                -> origin/adi/test_m8g
2025-12-04T08:11:24.2383050Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-12-04T08:11:24.2384185Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-12-04T08:11:24.2385620Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-12-04T08:11:24.2386700Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-12-04T08:11:24.2388417Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-12-04T08:11:24.2392118Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-12-04T08:11:24.2392980Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-12-04T08:11:24.2394103Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-12-04T08:11:24.2395046Z  * [new branch]              also-surround-shimh         -> origin/also-surround-shimh
2025-12-04T08:11:24.2396955Z  * [new branch]              angelayi/aot_compile        -> origin/angelayi/aot_compile
2025-12-04T08:11:24.2398325Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-12-04T08:11:24.2399517Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-12-04T08:11:24.2400959Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-12-04T08:11:24.2402023Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-12-04T08:11:24.2403336Z  * [new branch]              angelayi/inductor_const     -> origin/angelayi/inductor_const
2025-12-04T08:11:24.2404485Z  * [new branch]              angelayi/lstm               -> origin/angelayi/lstm
2025-12-04T08:11:24.2406285Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-12-04T08:11:24.2408043Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-12-04T08:11:24.2409325Z  * [new branch]              angelayi/side_eff           -> origin/angelayi/side_eff
2025-12-04T08:11:24.2410635Z  * [new branch]              angelayi/state_dict         -> origin/angelayi/state_dict
2025-12-04T08:11:24.2412004Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-12-04T08:11:24.2413504Z  * [new branch]              angelayi/symm_mem           -> origin/angelayi/symm_mem
2025-12-04T08:11:24.2414654Z  * [new branch]              angelayi/test_cpp           -> origin/angelayi/test_cpp
2025-12-04T08:11:24.2415954Z  * [new branch]              angelayi/torch_size         -> origin/angelayi/torch_size
2025-12-04T08:11:24.2417158Z  * [new branch]              annotate_assert             -> origin/annotate_assert
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2025-12-04T08:11:24.9257710Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-12-04T08:11:24.9259958Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-12-04T08:11:24.9261573Z  * [new branch]              zxiiro/c7i.2xlarge          -> origin/zxiiro/c7i.2xlarge
2025-12-04T08:11:24.9263353Z  * [new branch]              zxiiro/c7i.2xlarge.h100     -> origin/zxiiro/c7i.2xlarge.h100
2025-12-04T08:11:24.9264957Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-12-04T08:11:24.9266638Z  * [new branch]              zxiiro/risc64               -> origin/zxiiro/risc64
2025-12-04T08:11:24.9268428Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-12-04T08:11:24.9270286Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-12-04T08:11:24.9271307Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-12-04T08:11:24.9273001Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-12-04T08:11:24.9273891Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-12-04T08:11:24.9275007Z  * [new tag]                 ciflow/b200/161607          -> ciflow/b200/161607
2025-12-04T08:11:24.9276340Z  * [new tag]                 ciflow/b200/161938          -> ciflow/b200/161938
2025-12-04T08:11:24.9277659Z  * [new tag]                 ciflow/b200/167207          -> ciflow/b200/167207
2025-12-04T08:11:24.9278633Z  * [new tag]                 ciflow/b200/167989          -> ciflow/b200/167989
2025-12-04T08:11:24.9280109Z  * [new tag]                 ciflow/b200/168096          -> ciflow/b200/168096
2025-12-04T08:11:24.9284528Z  * [new tag]                 ciflow/b200/168175          -> ciflow/b200/168175
2025-12-04T08:11:24.9285348Z  * [new tag]                 ciflow/b200/168195          -> ciflow/b200/168195
2025-12-04T08:11:24.9287140Z  * [new tag]                 ciflow/b200/169200          -> ciflow/b200/169200
2025-12-04T08:11:24.9287945Z  * [new tag]                 ciflow/b200/169216          -> ciflow/b200/169216
2025-12-04T08:11:24.9289877Z  * [new tag]                 ciflow/b200/169380          -> ciflow/b200/169380
2025-12-04T08:11:24.9291403Z  * [new tag]                 ciflow/b200/169412          -> ciflow/b200/169412
2025-12-04T08:11:24.9292837Z  * [new tag]                 ciflow/b200/169470          -> ciflow/b200/169470
2025-12-04T08:11:24.9294445Z  * [new tag]                 ciflow/b200/169471          -> ciflow/b200/169471
2025-12-04T08:11:24.9295745Z  * [new tag]                 ciflow/b200/169472          -> ciflow/b200/169472
2025-12-04T08:11:24.9297340Z  * [new tag]                 ciflow/b200/169514          -> ciflow/b200/169514
2025-12-04T08:11:24.9298336Z  * [new tag]                 ciflow/b200/169517          -> ciflow/b200/169517
2025-12-04T08:11:24.9300113Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-12-04T08:11:24.9300967Z  * [new tag]                 ciflow/binaries/169510      -> ciflow/binaries/169510
2025-12-04T08:11:24.9302795Z  * [new tag]                 ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994
2025-12-04T08:11:24.9303782Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-12-04T08:11:24.9304878Z  * [new tag]                 ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972
2025-12-04T08:11:24.9306257Z  * [new tag]                 ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981
2025-12-04T08:11:24.9307522Z  * [new tag]                 ciflow/dynamo/167695        -> ciflow/dynamo/167695
2025-12-04T08:11:24.9308690Z  * [new tag]                 ciflow/dynamo/168096        -> ciflow/dynamo/168096
2025-12-04T08:11:24.9309920Z  * [new tag]                 ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938
2025-12-04T08:11:24.9310977Z  * [new tag]                 ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940
2025-12-04T08:11:24.9312350Z  * [new tag]                 ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923
2025-12-04T08:11:24.9313596Z  * [new tag]                 ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552
2025-12-04T08:11:24.9314632Z  * [new tag]                 ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129
2025-12-04T08:11:24.9315587Z  * [new tag]                 ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917
2025-12-04T08:11:24.9317396Z  * [new tag]                 ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156
2025-12-04T08:11:24.9318190Z  * [new tag]                 ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200
2025-12-04T08:11:24.9319285Z  * [new tag]                 ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216
2025-12-04T08:11:24.9320383Z  * [new tag]                 ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338
2025-12-04T08:11:24.9321851Z  * [new tag]                 ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355
2025-12-04T08:11:24.9322764Z  * [new tag]                 ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543
2025-12-04T08:11:24.9324201Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-12-04T08:11:24.9325110Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-12-04T08:11:24.9326491Z  * [new tag]                 ciflow/h100/160729          -> ciflow/h100/160729
2025-12-04T08:11:24.9327462Z  * [new tag]                 ciflow/h100/161607          -> ciflow/h100/161607
2025-12-04T08:11:24.9328560Z  * [new tag]                 ciflow/h100/161938          -> ciflow/h100/161938
2025-12-04T08:11:24.9329882Z  * [new tag]                 ciflow/h100/167207          -> ciflow/h100/167207
2025-12-04T08:11:24.9330788Z  * [new tag]                 ciflow/h100/167989          -> ciflow/h100/167989
2025-12-04T08:11:24.9331989Z  * [new tag]                 ciflow/h100/168096          -> ciflow/h100/168096
2025-12-04T08:11:24.9333001Z  * [new tag]                 ciflow/h100/168175          -> ciflow/h100/168175
2025-12-04T08:11:24.9334111Z  * [new tag]                 ciflow/h100/168195          -> ciflow/h100/168195
2025-12-04T08:11:24.9335257Z  * [new tag]                 ciflow/h100/168980          -> ciflow/h100/168980
2025-12-04T08:11:24.9336847Z  * [new tag]                 ciflow/h100/169200          -> ciflow/h100/169200
2025-12-04T08:11:24.9338408Z  * [new tag]                 ciflow/h100/169216          -> ciflow/h100/169216
2025-12-04T08:11:24.9339714Z  * [new tag]                 ciflow/h100/169380          -> ciflow/h100/169380
2025-12-04T08:11:24.9340815Z  * [new tag]                 ciflow/h100/169412          -> ciflow/h100/169412
2025-12-04T08:11:24.9342115Z  * [new tag]                 ciflow/h100/169470          -> ciflow/h100/169470
2025-12-04T08:11:24.9343135Z  * [new tag]                 ciflow/h100/169471          -> ciflow/h100/169471
2025-12-04T08:11:24.9344415Z  * [new tag]                 ciflow/h100/169472          -> ciflow/h100/169472
2025-12-04T08:11:24.9345457Z  * [new tag]                 ciflow/h100/169514          -> ciflow/h100/169514
2025-12-04T08:11:24.9347026Z  * [new tag]                 ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096
2025-12-04T08:11:24.9348965Z  * [new tag]                 ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096
2025-12-04T08:11:24.9350052Z  * [new tag]                 ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165
2025-12-04T08:11:24.9351111Z  * [new tag]                 ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096
2025-12-04T08:11:24.9352728Z  * [new tag]                 ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096
2025-12-04T08:11:24.9354761Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073
2025-12-04T08:11:24.9355675Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096
2025-12-04T08:11:24.9356974Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024
2025-12-04T08:11:24.9358187Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024
2025-12-04T08:11:24.9359479Z  * [new tag]                 ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096
2025-12-04T08:11:24.9360618Z  * [new tag]                 ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096
2025-12-04T08:11:24.9361738Z  * [new tag]                 ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024
2025-12-04T08:11:24.9363044Z  * [new tag]                 ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425
2025-12-04T08:11:24.9364739Z  * [new tag]                 ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545
2025-12-04T08:11:24.9365940Z  * [new tag]                 ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997
2025-12-04T08:11:24.9367023Z  * [new tag]                 ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096
2025-12-04T08:11:24.9368373Z  * [new tag]                 ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063
2025-12-04T08:11:24.9369412Z  * [new tag]                 ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425
2025-12-04T08:11:24.9371016Z  * [new tag]                 ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545
2025-12-04T08:11:24.9371910Z  * [new tag]                 ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096
2025-12-04T08:11:24.9373147Z  * [new tag]                 ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063
2025-12-04T08:11:24.9374081Z  * [new tag]                 ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425
2025-12-04T08:11:24.9375848Z  * [new tag]                 ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052
2025-12-04T08:11:24.9376681Z  * [new tag]                 ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971
2025-12-04T08:11:24.9378225Z  * [new tag]                 ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096
2025-12-04T08:11:24.9379333Z  * [new tag]                 ciflow/inductor/144542      -> ciflow/inductor/144542
2025-12-04T08:11:24.9380762Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-12-04T08:11:24.9381766Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-12-04T08:11:24.9383331Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-12-04T08:11:24.9384212Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-12-04T08:11:24.9385343Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-12-04T08:11:24.9386464Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-12-04T08:11:24.9387614Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-12-04T08:11:24.9388682Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-12-04T08:11:24.9390256Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-12-04T08:11:24.9391216Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-12-04T08:11:24.9392909Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-12-04T08:11:24.9394372Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-12-04T08:11:24.9395691Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-12-04T08:11:24.9396876Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-12-04T08:11:24.9398108Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-12-04T08:11:24.9399256Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-12-04T08:11:24.9400429Z  * [new tag]                 ciflow/inductor/162052      -> ciflow/inductor/162052
2025-12-04T08:11:24.9401573Z  * [new tag]                 ciflow/inductor/162275      -> ciflow/inductor/162275
2025-12-04T08:11:24.9402741Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-12-04T08:11:24.9404433Z  * [new tag]                 ciflow/inductor/163245      -> ciflow/inductor/163245
2025-12-04T08:11:24.9405378Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-12-04T08:11:24.9406577Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-12-04T08:11:24.9407716Z  * [new tag]                 ciflow/inductor/163942      -> ciflow/inductor/163942
2025-12-04T08:11:24.9409354Z  * [new tag]                 ciflow/inductor/165270      -> ciflow/inductor/165270
2025-12-04T08:11:24.9410247Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-12-04T08:11:24.9411405Z  * [new tag]                 ciflow/inductor/165322      -> ciflow/inductor/165322
2025-12-04T08:11:24.9412566Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-12-04T08:11:24.9413736Z  * [new tag]                 ciflow/inductor/166063      -> ciflow/inductor/166063
2025-12-04T08:11:24.9414936Z  * [new tag]                 ciflow/inductor/166075      -> ciflow/inductor/166075
2025-12-04T08:11:24.9416062Z  * [new tag]                 ciflow/inductor/166165      -> ciflow/inductor/166165
2025-12-04T08:11:24.9417926Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-12-04T08:11:24.9418700Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-12-04T08:11:24.9420026Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-12-04T08:11:24.9421089Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-12-04T08:11:24.9422272Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-12-04T08:11:24.9423896Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-12-04T08:11:24.9424871Z  * [new tag]                 ciflow/inductor/167300      -> ciflow/inductor/167300
2025-12-04T08:11:24.9426056Z  * [new tag]                 ciflow/inductor/167407      -> ciflow/inductor/167407
2025-12-04T08:11:24.9427648Z  * [new tag]                 ciflow/inductor/167536      -> ciflow/inductor/167536
2025-12-04T08:11:24.9428572Z  * [new tag]                 ciflow/inductor/167552      -> ciflow/inductor/167552
2025-12-04T08:11:24.9430244Z  * [new tag]                 ciflow/inductor/167555      -> ciflow/inductor/167555
2025-12-04T08:11:24.9431342Z  * [new tag]                 ciflow/inductor/167583      -> ciflow/inductor/167583
2025-12-04T08:11:24.9432505Z  * [new tag]                 ciflow/inductor/167599      -> ciflow/inductor/167599
2025-12-04T08:11:24.9433652Z  * [new tag]                 ciflow/inductor/167647      -> ciflow/inductor/167647
2025-12-04T08:11:24.9434834Z  * [new tag]                 ciflow/inductor/167677      -> ciflow/inductor/167677
2025-12-04T08:11:24.9435975Z  * [new tag]                 ciflow/inductor/167680      -> ciflow/inductor/167680
2025-12-04T08:11:24.9437162Z  * [new tag]                 ciflow/inductor/167695      -> ciflow/inductor/167695
2025-12-04T08:11:24.9438315Z  * [new tag]                 ciflow/inductor/167742      -> ciflow/inductor/167742
2025-12-04T08:11:24.9439500Z  * [new tag]                 ciflow/inductor/167768      -> ciflow/inductor/167768
2025-12-04T08:11:24.9441357Z  * [new tag]                 ciflow/inductor/167773      -> ciflow/inductor/167773
2025-12-04T08:11:24.9442157Z  * [new tag]                 ciflow/inductor/167781      -> ciflow/inductor/167781
2025-12-04T08:11:24.9443605Z  * [new tag]                 ciflow/inductor/167880      -> ciflow/inductor/167880
2025-12-04T08:11:24.9444575Z  * [new tag]                 ciflow/inductor/167887      -> ciflow/inductor/167887
2025-12-04T08:11:24.9446015Z  * [new tag]                 ciflow/inductor/167972      -> ciflow/inductor/167972
2025-12-04T08:11:24.9446949Z  * [new tag]                 ciflow/inductor/167989      -> ciflow/inductor/167989
2025-12-04T08:11:24.9448103Z  * [new tag]                 ciflow/inductor/168002      -> ciflow/inductor/168002
2025-12-04T08:11:24.9450045Z  * [new tag]                 ciflow/inductor/168050      -> ciflow/inductor/168050
2025-12-04T08:11:24.9450910Z  * [new tag]                 ciflow/inductor/168051      -> ciflow/inductor/168051
2025-12-04T08:11:24.9452158Z  * [new tag]                 ciflow/inductor/168052      -> ciflow/inductor/168052
2025-12-04T08:11:24.9453265Z  * [new tag]                 ciflow/inductor/168073      -> ciflow/inductor/168073
2025-12-04T08:11:24.9454340Z  * [new tag]                 ciflow/inductor/168096      -> ciflow/inductor/168096
2025-12-04T08:11:24.9455377Z  * [new tag]                 ciflow/inductor/168114      -> ciflow/inductor/168114
2025-12-04T08:11:24.9456759Z  * [new tag]                 ciflow/inductor/168115      -> ciflow/inductor/168115
2025-12-04T08:11:24.9457622Z  * [new tag]                 ciflow/inductor/168127      -> ciflow/inductor/168127
2025-12-04T08:11:24.9458769Z  * [new tag]                 ciflow/inductor/168129      -> ciflow/inductor/168129
2025-12-04T08:11:24.9459925Z  * [new tag]                 ciflow/inductor/168157      -> ciflow/inductor/168157
2025-12-04T08:11:24.9461106Z  * [new tag]                 ciflow/inductor/168175      -> ciflow/inductor/168175
2025-12-04T08:11:24.9462413Z  * [new tag]                 ciflow/inductor/168185      -> ciflow/inductor/168185
2025-12-04T08:11:24.9463427Z  * [new tag]                 ciflow/inductor/168195      -> ciflow/inductor/168195
2025-12-04T08:11:24.9464598Z  * [new tag]                 ciflow/inductor/168209      -> ciflow/inductor/168209
2025-12-04T08:11:24.9465797Z  * [new tag]                 ciflow/inductor/168266      -> ciflow/inductor/168266
2025-12-04T08:11:24.9466950Z  * [new tag]                 ciflow/inductor/168316      -> ciflow/inductor/168316
2025-12-04T08:11:24.9468726Z  * [new tag]                 ciflow/inductor/168326      -> ciflow/inductor/168326
2025-12-04T08:11:24.9469534Z  * [new tag]                 ciflow/inductor/168368      -> ciflow/inductor/168368
2025-12-04T08:11:24.9470973Z  * [new tag]                 ciflow/inductor/168894      -> ciflow/inductor/168894
2025-12-04T08:11:24.9471983Z  * [new tag]                 ciflow/inductor/168934      -> ciflow/inductor/168934
2025-12-04T08:11:24.9473488Z  * [new tag]                 ciflow/inductor/168939      -> ciflow/inductor/168939
2025-12-04T08:11:24.9474360Z  * [new tag]                 ciflow/inductor/168946      -> ciflow/inductor/168946
2025-12-04T08:11:24.9475541Z  * [new tag]                 ciflow/inductor/168950      -> ciflow/inductor/168950
2025-12-04T08:11:24.9476694Z  * [new tag]                 ciflow/inductor/168951      -> ciflow/inductor/168951
2025-12-04T08:11:24.9477841Z  * [new tag]                 ciflow/inductor/168952      -> ciflow/inductor/168952
2025-12-04T08:11:24.9479006Z  * [new tag]                 ciflow/inductor/168955      -> ciflow/inductor/168955
2025-12-04T08:11:24.9480311Z  * [new tag]                 ciflow/inductor/168971      -> ciflow/inductor/168971
2025-12-04T08:11:24.9481649Z  * [new tag]                 ciflow/inductor/168979      -> ciflow/inductor/168979
2025-12-04T08:11:24.9482678Z  * [new tag]                 ciflow/inductor/168980      -> ciflow/inductor/168980
2025-12-04T08:11:24.9484307Z  * [new tag]                 ciflow/inductor/168983      -> ciflow/inductor/168983
2025-12-04T08:11:24.9485234Z  * [new tag]                 ciflow/inductor/169006      -> ciflow/inductor/169006
2025-12-04T08:11:24.9486453Z  * [new tag]                 ciflow/inductor/169023      -> ciflow/inductor/169023
2025-12-04T08:11:24.9487592Z  * [new tag]                 ciflow/inductor/169024      -> ciflow/inductor/169024
2025-12-04T08:11:24.9488936Z  * [new tag]                 ciflow/inductor/169025      -> ciflow/inductor/169025
2025-12-04T08:11:24.9490003Z  * [new tag]                 ciflow/inductor/169066      -> ciflow/inductor/169066
2025-12-04T08:11:24.9491196Z  * [new tag]                 ciflow/inductor/169091      -> ciflow/inductor/169091
2025-12-04T08:11:24.9492339Z  * [new tag]                 ciflow/inductor/169102      -> ciflow/inductor/169102
2025-12-04T08:11:24.9493520Z  * [new tag]                 ciflow/inductor/169103      -> ciflow/inductor/169103
2025-12-04T08:11:24.9494662Z  * [new tag]                 ciflow/inductor/169121      -> ciflow/inductor/169121
2025-12-04T08:11:24.9495842Z  * [new tag]                 ciflow/inductor/169134      -> ciflow/inductor/169134
2025-12-04T08:11:24.9496982Z  * [new tag]                 ciflow/inductor/169135      -> ciflow/inductor/169135
2025-12-04T08:11:24.9498146Z  * [new tag]                 ciflow/inductor/169141      -> ciflow/inductor/169141
2025-12-04T08:11:24.9499601Z  * [new tag]                 ciflow/inductor/169151      -> ciflow/inductor/169151
2025-12-04T08:11:24.9501032Z  * [new tag]                 ciflow/inductor/169161      -> ciflow/inductor/169161
2025-12-04T08:11:24.9501965Z  * [new tag]                 ciflow/inductor/169167      -> ciflow/inductor/169167
2025-12-04T08:11:24.9503679Z  * [new tag]                 ciflow/inductor/169177      -> ciflow/inductor/169177
2025-12-04T08:11:24.9504706Z  * [new tag]                 ciflow/inductor/169185      -> ciflow/inductor/169185
2025-12-04T08:11:24.9506119Z  * [new tag]                 ciflow/inductor/169196      -> ciflow/inductor/169196
2025-12-04T08:11:24.9507389Z  * [new tag]                 ciflow/inductor/169200      -> ciflow/inductor/169200
2025-12-04T08:11:24.9508460Z  * [new tag]                 ciflow/inductor/169204      -> ciflow/inductor/169204
2025-12-04T08:11:24.9509620Z  * [new tag]                 ciflow/inductor/169216      -> ciflow/inductor/169216
2025-12-04T08:11:24.9511035Z  * [new tag]                 ciflow/inductor/169219      -> ciflow/inductor/169219
2025-12-04T08:11:24.9512069Z  * [new tag]                 ciflow/inductor/169220      -> ciflow/inductor/169220
2025-12-04T08:11:24.9513830Z  * [new tag]                 ciflow/inductor/169230      -> ciflow/inductor/169230
2025-12-04T08:11:24.9514750Z  * [new tag]                 ciflow/inductor/169242      -> ciflow/inductor/169242
2025-12-04T08:11:24.9515931Z  * [new tag]                 ciflow/inductor/169245      -> ciflow/inductor/169245
2025-12-04T08:11:24.9517544Z  * [new tag]                 ciflow/inductor/169260      -> ciflow/inductor/169260
2025-12-04T08:11:24.9518440Z  * [new tag]                 ciflow/inductor/169282      -> ciflow/inductor/169282
2025-12-04T08:11:24.9519635Z  * [new tag]                 ciflow/inductor/169286      -> ciflow/inductor/169286
2025-12-04T08:11:24.9520805Z  * [new tag]                 ciflow/inductor/169299      -> ciflow/inductor/169299
2025-12-04T08:11:24.9522312Z  * [new tag]                 ciflow/inductor/169304      -> ciflow/inductor/169304
2025-12-04T08:11:24.9524225Z  * [new tag]                 ciflow/inductor/169305      -> ciflow/inductor/169305
2025-12-04T08:11:24.9525138Z  * [new tag]                 ciflow/inductor/169308      -> ciflow/inductor/169308
2025-12-04T08:11:24.9526578Z  * [new tag]                 ciflow/inductor/169319      -> ciflow/inductor/169319
2025-12-04T08:11:24.9528282Z  * [new tag]                 ciflow/inductor/169326      -> ciflow/inductor/169326
2025-12-04T08:11:24.9529255Z  * [new tag]                 ciflow/inductor/169332      -> ciflow/inductor/169332
2025-12-04T08:11:24.9530585Z  * [new tag]                 ciflow/inductor/169333      -> ciflow/inductor/169333
2025-12-04T08:11:24.9532295Z  * [new tag]                 ciflow/inductor/169336      -> ciflow/inductor/169336
2025-12-04T08:11:24.9533182Z  * [new tag]                 ciflow/inductor/169340      -> ciflow/inductor/169340
2025-12-04T08:11:24.9534632Z  * [new tag]                 ciflow/inductor/169341      -> ciflow/inductor/169341
2025-12-04T08:11:24.9535697Z  * [new tag]                 ciflow/inductor/169343      -> ciflow/inductor/169343
2025-12-04T08:11:24.9536927Z  * [new tag]                 ciflow/inductor/169346      -> ciflow/inductor/169346
2025-12-04T08:11:24.9538568Z  * [new tag]                 ciflow/inductor/169348      -> ciflow/inductor/169348
2025-12-04T08:11:24.9539672Z  * [new tag]                 ciflow/inductor/169350      -> ciflow/inductor/169350
2025-12-04T08:11:24.9540999Z  * [new tag]                 ciflow/inductor/169355      -> ciflow/inductor/169355
2025-12-04T08:11:24.9542105Z  * [new tag]                 ciflow/inductor/169370      -> ciflow/inductor/169370
2025-12-04T08:11:24.9544001Z  * [new tag]                 ciflow/inductor/169375      -> ciflow/inductor/169375
2025-12-04T08:11:24.9544894Z  * [new tag]                 ciflow/inductor/169389      -> ciflow/inductor/169389
2025-12-04T08:11:24.9546086Z  * [new tag]                 ciflow/inductor/169391      -> ciflow/inductor/169391
2025-12-04T08:11:24.9547241Z  * [new tag]                 ciflow/inductor/169393      -> ciflow/inductor/169393
2025-12-04T08:11:24.9548801Z  * [new tag]                 ciflow/inductor/169399      -> ciflow/inductor/169399
2025-12-04T08:11:24.9550042Z  * [new tag]                 ciflow/inductor/169400      -> ciflow/inductor/169400
2025-12-04T08:11:24.9551515Z  * [new tag]                 ciflow/inductor/169415      -> ciflow/inductor/169415
2025-12-04T08:11:24.9552496Z  * [new tag]                 ciflow/inductor/169417      -> ciflow/inductor/169417
2025-12-04T08:11:24.9553813Z  * [new tag]                 ciflow/inductor/169418      -> ciflow/inductor/169418
2025-12-04T08:11:24.9555509Z  * [new tag]                 ciflow/inductor/169430      -> ciflow/inductor/169430
2025-12-04T08:11:24.9556395Z  * [new tag]                 ciflow/inductor/169432      -> ciflow/inductor/169432
2025-12-04T08:11:24.9557647Z  * [new tag]                 ciflow/inductor/169436      -> ciflow/inductor/169436
2025-12-04T08:11:24.9559227Z  * [new tag]                 ciflow/inductor/169437      -> ciflow/inductor/169437
2025-12-04T08:11:24.9560158Z  * [new tag]                 ciflow/inductor/169438      -> ciflow/inductor/169438
2025-12-04T08:11:24.9561589Z  * [new tag]                 ciflow/inductor/169441      -> ciflow/inductor/169441
2025-12-04T08:11:24.9562616Z  * [new tag]                 ciflow/inductor/169446      -> ciflow/inductor/169446
2025-12-04T08:11:24.9564208Z  * [new tag]                 ciflow/inductor/169447      -> ciflow/inductor/169447
2025-12-04T08:11:24.9565242Z  * [new tag]                 ciflow/inductor/169452      -> ciflow/inductor/169452
2025-12-04T08:11:24.9566899Z  * [new tag]                 ciflow/inductor/169455      -> ciflow/inductor/169455
2025-12-04T08:11:24.9567772Z  * [new tag]                 ciflow/inductor/169459      -> ciflow/inductor/169459
2025-12-04T08:11:24.9569419Z  * [new tag]                 ciflow/inductor/169463      -> ciflow/inductor/169463
2025-12-04T08:11:24.9570499Z  * [new tag]                 ciflow/inductor/169476      -> ciflow/inductor/169476
2025-12-04T08:11:24.9571938Z  * [new tag]                 ciflow/inductor/169485      -> ciflow/inductor/169485
2025-12-04T08:11:24.9572905Z  * [new tag]                 ciflow/inductor/169493      -> ciflow/inductor/169493
2025-12-04T08:11:24.9574105Z  * [new tag]                 ciflow/inductor/169496      -> ciflow/inductor/169496
2025-12-04T08:11:24.9575277Z  * [new tag]                 ciflow/inductor/169497      -> ciflow/inductor/169497
2025-12-04T08:11:24.9576410Z  * [new tag]                 ciflow/inductor/169503      -> ciflow/inductor/169503
2025-12-04T08:11:24.9577476Z  * [new tag]                 ciflow/inductor/169504      -> ciflow/inductor/169504
2025-12-04T08:11:24.9579033Z  * [new tag]                 ciflow/inductor/169505      -> ciflow/inductor/169505
2025-12-04T08:11:24.9581175Z  * [new tag]                 ciflow/inductor/169508      -> ciflow/inductor/169508
2025-12-04T08:11:24.9581928Z  * [new tag]                 ciflow/inductor/169509      -> ciflow/inductor/169509
2025-12-04T08:11:24.9583073Z  * [new tag]                 ciflow/inductor/169513      -> ciflow/inductor/169513
2025-12-04T08:11:24.9584605Z  * [new tag]                 ciflow/inductor/169514      -> ciflow/inductor/169514
2025-12-04T08:11:24.9585509Z  * [new tag]                 ciflow/inductor/169515      -> ciflow/inductor/169515
2025-12-04T08:11:24.9586952Z  * [new tag]                 ciflow/inductor/169517      -> ciflow/inductor/169517
2025-12-04T08:11:24.9587870Z  * [new tag]                 ciflow/inductor/169519      -> ciflow/inductor/169519
2025-12-04T08:11:24.9589417Z  * [new tag]                 ciflow/inductor/169520      -> ciflow/inductor/169520
2025-12-04T08:11:24.9590407Z  * [new tag]                 ciflow/inductor/169521      -> ciflow/inductor/169521
2025-12-04T08:11:24.9591790Z  * [new tag]                 ciflow/inductor/169524      -> ciflow/inductor/169524
2025-12-04T08:11:24.9592847Z  * [new tag]                 ciflow/inductor/169527      -> ciflow/inductor/169527
2025-12-04T08:11:24.9594031Z  * [new tag]                 ciflow/inductor/169528      -> ciflow/inductor/169528
2025-12-04T08:11:24.9595620Z  * [new tag]                 ciflow/inductor/169532      -> ciflow/inductor/169532
2025-12-04T08:11:24.9596610Z  * [new tag]                 ciflow/inductor/169535      -> ciflow/inductor/169535
2025-12-04T08:11:24.9597920Z  * [new tag]                 ciflow/inductor/169536      -> ciflow/inductor/169536
2025-12-04T08:11:24.9599033Z  * [new tag]                 ciflow/inductor/169547      -> ciflow/inductor/169547
2025-12-04T08:11:24.9600610Z  * [new tag]                 ciflow/inductor/169548      -> ciflow/inductor/169548
2025-12-04T08:11:24.9601401Z  * [new tag]                 ciflow/inductor/169549      -> ciflow/inductor/169549
2025-12-04T08:11:24.9602655Z  * [new tag]                 ciflow/inductor/169551      -> ciflow/inductor/169551
2025-12-04T08:11:24.9603869Z  * [new tag]                 ciflow/inductor/169552      -> ciflow/inductor/169552
2025-12-04T08:11:24.9605079Z  * [new tag]                 ciflow/inductor/169553      -> ciflow/inductor/169553
2025-12-04T08:11:24.9606838Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-12-04T08:11:24.9607998Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-12-04T08:11:24.9610060Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-12-04T08:11:24.9611243Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-12-04T08:11:24.9613302Z  * [new tag]                 ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075
2025-12-04T08:11:24.9613983Z  * [new tag]                 ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876
2025-12-04T08:11:24.9615099Z  * [new tag]                 ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981
2025-12-04T08:11:24.9616687Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-12-04T08:11:24.9618382Z  * [new tag]                 ciflow/mps/169017           -> ciflow/mps/169017
2025-12-04T08:11:24.9619403Z  * [new tag]                 ciflow/mps/169372           -> ciflow/mps/169372
2025-12-04T08:11:24.9620659Z  * [new tag]                 ciflow/mps/169478           -> ciflow/mps/169478
2025-12-04T08:11:24.9622304Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-12-04T08:11:24.9623121Z  * [new tag]                 ciflow/op-benchmark/166075  -> ciflow/op-benchmark/166075
2025-12-04T08:11:24.9624258Z  * [new tag]                 ciflow/op-benchmark/169544  -> ciflow/op-benchmark/169544
2025-12-04T08:11:24.9626128Z  * [new tag]                 ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997
2025-12-04T08:11:24.9627164Z  * [new tag]                 ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517
2025-12-04T08:11:24.9628256Z  * [new tag]                 ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063
2025-12-04T08:11:24.9629325Z  * [new tag]                 ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425
2025-12-04T08:11:24.9630927Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-12-04T08:11:24.9631956Z  * [new tag]                 ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063
2025-12-04T08:11:24.9632978Z  * [new tag]                 ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425
2025-12-04T08:11:24.9634792Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-12-04T08:11:24.9635645Z  * [new tag]                 ciflow/periodic/167207      -> ciflow/periodic/167207
2025-12-04T08:11:24.9637218Z  * [new tag]                 ciflow/periodic/167978      -> ciflow/periodic/167978
2025-12-04T08:11:24.9638036Z  * [new tag]                 ciflow/periodic/168096      -> ciflow/periodic/168096
2025-12-04T08:11:24.9639189Z  * [new tag]                 ciflow/periodic/169286      -> ciflow/periodic/169286
2025-12-04T08:11:24.9640873Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-12-04T08:11:24.9641937Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-12-04T08:11:24.9643403Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-12-04T08:11:24.9644933Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-12-04T08:11:24.9647430Z  * [new tag]                 ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T08:11:24.9648193Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-12-04T08:11:24.9650238Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-12-04T08:11:24.9651412Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-12-04T08:11:24.9653012Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-12-04T08:11:24.9654540Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-12-04T08:11:24.9656203Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-12-04T08:11:24.9657846Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-12-04T08:11:24.9659016Z  * [new tag]                 ciflow/pull/167207          -> ciflow/pull/167207
2025-12-04T08:11:24.9661074Z  * [new tag]                 ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207
2025-12-04T08:11:24.9662065Z  * [new tag]                 ciflow/rocm-mi200/165545    -> ciflow/rocm-mi200/165545
2025-12-04T08:11:24.9663199Z  * [new tag]                 ciflow/rocm-mi200/165997    -> ciflow/rocm-mi200/165997
2025-12-04T08:11:24.9664315Z  * [new tag]                 ciflow/rocm-mi200/168096    -> ciflow/rocm-mi200/168096
2025-12-04T08:11:24.9665910Z  * [new tag]                 ciflow/rocm-mi200/168275    -> ciflow/rocm-mi200/168275
2025-12-04T08:11:24.9666726Z  * [new tag]                 ciflow/rocm-mi200/169063    -> ciflow/rocm-mi200/169063
2025-12-04T08:11:24.9668284Z  * [new tag]                 ciflow/rocm-mi200/169356    -> ciflow/rocm-mi200/169356
2025-12-04T08:11:24.9669254Z  * [new tag]                 ciflow/rocm-mi200/169425    -> ciflow/rocm-mi200/169425
2025-12-04T08:11:24.9670970Z  * [new tag]                 ciflow/rocm-mi300/165545    -> ciflow/rocm-mi300/165545
2025-12-04T08:11:24.9672166Z  * [new tag]                 ciflow/rocm-mi300/167157    -> ciflow/rocm-mi300/167157
2025-12-04T08:11:24.9673283Z  * [new tag]                 ciflow/rocm-mi300/168096    -> ciflow/rocm-mi300/168096
2025-12-04T08:11:24.9674407Z  * [new tag]                 ciflow/rocm-mi300/169063    -> ciflow/rocm-mi300/169063
2025-12-04T08:11:24.9675505Z  * [new tag]                 ciflow/rocm-mi300/169425    -> ciflow/rocm-mi300/169425
2025-12-04T08:11:24.9677140Z  * [new tag]                 ciflow/rocm-mi355/167157    -> ciflow/rocm-mi355/167157
2025-12-04T08:11:24.9677974Z  * [new tag]                 ciflow/rocm-mi355/168275    -> ciflow/rocm-mi355/168275
2025-12-04T08:11:24.9679092Z  * [new tag]                 ciflow/rocm-mi355/169425    -> ciflow/rocm-mi355/169425
2025-12-04T08:11:24.9680915Z  * [new tag]                 ciflow/rocm-navi31/168275   -> ciflow/rocm-navi31/168275
2025-12-04T08:11:24.9681763Z  * [new tag]                 ciflow/rocm-navi31/169425   -> ciflow/rocm-navi31/169425
2025-12-04T08:11:24.9683258Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-12-04T08:11:24.9684133Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-12-04T08:11:24.9685264Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-12-04T08:11:24.9686390Z  * [new tag]                 ciflow/rocm/161607          -> ciflow/rocm/161607
2025-12-04T08:11:24.9687478Z  * [new tag]                 ciflow/rocm/162052          -> ciflow/rocm/162052
2025-12-04T08:11:24.9688989Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-12-04T08:11:24.9689735Z  * [new tag]                 ciflow/rocm/166165          -> ciflow/rocm/166165
2025-12-04T08:11:24.9690846Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-12-04T08:11:24.9691995Z  * [new tag]                 ciflow/rocm/167207          -> ciflow/rocm/167207
2025-12-04T08:11:24.9693232Z  * [new tag]                 ciflow/rocm/167536          -> ciflow/rocm/167536
2025-12-04T08:11:24.9694195Z  * [new tag]                 ciflow/rocm/167781          -> ciflow/rocm/167781
2025-12-04T08:11:24.9695965Z  * [new tag]                 ciflow/rocm/167989          -> ciflow/rocm/167989
2025-12-04T08:11:24.9697514Z  * [new tag]                 ciflow/rocm/168073          -> ciflow/rocm/168073
2025-12-04T08:11:24.9698789Z  * [new tag]                 ciflow/rocm/168195          -> ciflow/rocm/168195
2025-12-04T08:11:24.9699878Z  * [new tag]                 ciflow/rocm/168939          -> ciflow/rocm/168939
2025-12-04T08:11:24.9701328Z  * [new tag]                 ciflow/rocm/168971          -> ciflow/rocm/168971
2025-12-04T08:11:24.9702193Z  * [new tag]                 ciflow/rocm/169024          -> ciflow/rocm/169024
2025-12-04T08:11:24.9703756Z  * [new tag]                 ciflow/rocm/169200          -> ciflow/rocm/169200
2025-12-04T08:11:24.9704635Z  * [new tag]                 ciflow/rocm/169216          -> ciflow/rocm/169216
2025-12-04T08:11:24.9705916Z  * [new tag]                 ciflow/rocm/169312          -> ciflow/rocm/169312
2025-12-04T08:11:24.9707021Z  * [new tag]                 ciflow/rocm/169380          -> ciflow/rocm/169380
2025-12-04T08:11:24.9708349Z  * [new tag]                 ciflow/rocm/169427          -> ciflow/rocm/169427
2025-12-04T08:11:24.9709411Z  * [new tag]                 ciflow/rocm/169455          -> ciflow/rocm/169455
2025-12-04T08:11:24.9710780Z  * [new tag]                 ciflow/rocm/169470          -> ciflow/rocm/169470
2025-12-04T08:11:24.9711810Z  * [new tag]                 ciflow/rocm/169471          -> ciflow/rocm/169471
2025-12-04T08:11:24.9713436Z  * [new tag]                 ciflow/rocm/169472          -> ciflow/rocm/169472
2025-12-04T08:11:24.9714293Z  * [new tag]                 ciflow/rocm/169514          -> ciflow/rocm/169514
2025-12-04T08:11:24.9716211Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-12-04T08:11:24.9717157Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-12-04T08:11:24.9719656Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-12-04T08:11:24.9719998Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-12-04T08:11:24.9721054Z  * [new tag]                 ciflow/slow/167207          -> ciflow/slow/167207
2025-12-04T08:11:24.9722359Z  * [new tag]                 ciflow/slow/168050          -> ciflow/slow/168050
2025-12-04T08:11:24.9723840Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-12-04T08:11:24.9725262Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-12-04T08:11:24.9727034Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-12-04T08:11:24.9728848Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-12-04T08:11:24.9730466Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-12-04T08:11:24.9731776Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-12-04T08:11:24.9733353Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-12-04T08:11:24.9734530Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-12-04T08:11:24.9736932Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-12-04T08:11:24.9737520Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-12-04T08:11:24.9739325Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-12-04T08:11:24.9740277Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-12-04T08:11:24.9742178Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-12-04T08:11:24.9743170Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-12-04T08:11:24.9745707Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-12-04T08:11:24.9746124Z  * [new tag]                 ciflow/torchbench/168175    -> ciflow/torchbench/168175
2025-12-04T08:11:24.9747327Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-12-04T08:11:24.9748577Z  * [new tag]                 ciflow/trunk/157149         -> ciflow/trunk/157149
2025-12-04T08:11:24.9749447Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-12-04T08:11:24.9750676Z  * [new tag]                 ciflow/trunk/159718         -> ciflow/trunk/159718
2025-12-04T08:11:24.9751771Z  * [new tag]                 ciflow/trunk/160174         -> ciflow/trunk/160174
2025-12-04T08:11:24.9752907Z  * [new tag]                 ciflow/trunk/160685         -> ciflow/trunk/160685
2025-12-04T08:11:24.9753972Z  * [new tag]                 ciflow/trunk/160729         -> ciflow/trunk/160729
2025-12-04T08:11:24.9756007Z  * [new tag]                 ciflow/trunk/162275         -> ciflow/trunk/162275
2025-12-04T08:11:24.9756681Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-12-04T08:11:24.9757817Z  * [new tag]                 ciflow/trunk/163245         -> ciflow/trunk/163245
2025-12-04T08:11:24.9758961Z  * [new tag]                 ciflow/trunk/163942         -> ciflow/trunk/163942
2025-12-04T08:11:24.9760731Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-12-04T08:11:24.9762397Z  * [new tag]                 ciflow/trunk/165483         -> ciflow/trunk/165483
2025-12-04T08:11:24.9763753Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-12-04T08:11:24.9764804Z  * [new tag]                 ciflow/trunk/166075         -> ciflow/trunk/166075
2025-12-04T08:11:24.9766230Z  * [new tag]                 ciflow/trunk/166165         -> ciflow/trunk/166165
2025-12-04T08:11:24.9767219Z  * [new tag]                 ciflow/trunk/166829         -> ciflow/trunk/166829
2025-12-04T08:11:24.9768965Z  * [new tag]                 ciflow/trunk/166843         -> ciflow/trunk/166843
2025-12-04T08:11:24.9769815Z  * [new tag]                 ciflow/trunk/166876         -> ciflow/trunk/166876
2025-12-04T08:11:24.9771175Z  * [new tag]                 ciflow/trunk/167207         -> ciflow/trunk/167207
2025-12-04T08:11:24.9772210Z  * [new tag]                 ciflow/trunk/167536         -> ciflow/trunk/167536
2025-12-04T08:11:24.9773709Z  * [new tag]                 ciflow/trunk/167552         -> ciflow/trunk/167552
2025-12-04T08:11:24.9774686Z  * [new tag]                 ciflow/trunk/167555         -> ciflow/trunk/167555
2025-12-04T08:11:24.9776221Z  * [new tag]                 ciflow/trunk/167599         -> ciflow/trunk/167599
2025-12-04T08:11:24.9777152Z  * [new tag]                 ciflow/trunk/167659         -> ciflow/trunk/167659
2025-12-04T08:11:24.9778869Z  * [new tag]                 ciflow/trunk/167672         -> ciflow/trunk/167672
2025-12-04T08:11:24.9779684Z  * [new tag]                 ciflow/trunk/167742         -> ciflow/trunk/167742
2025-12-04T08:11:24.9783490Z  * [new tag]                 ciflow/trunk/167781         -> ciflow/trunk/167781
2025-12-04T08:11:24.9784989Z  * [new tag]                 ciflow/trunk/167837         -> ciflow/trunk/167837
2025-12-04T08:11:24.9785995Z  * [new tag]                 ciflow/trunk/167887         -> ciflow/trunk/167887
2025-12-04T08:11:24.9787394Z  * [new tag]                 ciflow/trunk/167978         -> ciflow/trunk/167978
2025-12-04T08:11:24.9788396Z  * [new tag]                 ciflow/trunk/168050         -> ciflow/trunk/168050
2025-12-04T08:11:24.9789577Z  * [new tag]                 ciflow/trunk/168051         -> ciflow/trunk/168051
2025-12-04T08:11:24.9790961Z  * [new tag]                 ciflow/trunk/168096         -> ciflow/trunk/168096
2025-12-04T08:11:24.9791983Z  * [new tag]                 ciflow/trunk/168127         -> ciflow/trunk/168127
2025-12-04T08:11:24.9793397Z  * [new tag]                 ciflow/trunk/168157         -> ciflow/trunk/168157
2025-12-04T08:11:24.9794396Z  * [new tag]                 ciflow/trunk/168175         -> ciflow/trunk/168175
2025-12-04T08:11:24.9795561Z  * [new tag]                 ciflow/trunk/168209         -> ciflow/trunk/168209
2025-12-04T08:11:24.9797179Z  * [new tag]                 ciflow/trunk/168213         -> ciflow/trunk/168213
2025-12-04T08:11:24.9798306Z  * [new tag]                 ciflow/trunk/168226         -> ciflow/trunk/168226
2025-12-04T08:11:24.9799752Z  * [new tag]                 ciflow/trunk/168262         -> ciflow/trunk/168262
2025-12-04T08:11:24.9800724Z  * [new tag]                 ciflow/trunk/168275         -> ciflow/trunk/168275
2025-12-04T08:11:24.9802394Z  * [new tag]                 ciflow/trunk/168328         -> ciflow/trunk/168328
2025-12-04T08:11:24.9803341Z  * [new tag]                 ciflow/trunk/168368         -> ciflow/trunk/168368
2025-12-04T08:11:24.9804823Z  * [new tag]                 ciflow/trunk/168917         -> ciflow/trunk/168917
2025-12-04T08:11:24.9805746Z  * [new tag]                 ciflow/trunk/168933         -> ciflow/trunk/168933
2025-12-04T08:11:24.9807350Z  * [new tag]                 ciflow/trunk/168941         -> ciflow/trunk/168941
2025-12-04T08:11:24.9808260Z  * [new tag]                 ciflow/trunk/168955         -> ciflow/trunk/168955
2025-12-04T08:11:24.9809609Z  * [new tag]                 ciflow/trunk/168980         -> ciflow/trunk/168980
2025-12-04T08:11:24.9811196Z  * [new tag]                 ciflow/trunk/169004         -> ciflow/trunk/169004
2025-12-04T08:11:24.9812138Z  * [new tag]                 ciflow/trunk/169006         -> ciflow/trunk/169006
2025-12-04T08:11:24.9813520Z  * [new tag]                 ciflow/trunk/169023         -> ciflow/trunk/169023
2025-12-04T08:11:24.9814547Z  * [new tag]                 ciflow/trunk/169025         -> ciflow/trunk/169025
2025-12-04T08:11:24.9815745Z  * [new tag]                 ciflow/trunk/169066         -> ciflow/trunk/169066
2025-12-04T08:11:24.9817133Z  * [new tag]                 ciflow/trunk/169091         -> ciflow/trunk/169091
2025-12-04T08:11:24.9818418Z  * [new tag]                 ciflow/trunk/169102         -> ciflow/trunk/169102
2025-12-04T08:11:24.9819467Z  * [new tag]                 ciflow/trunk/169103         -> ciflow/trunk/169103
2025-12-04T08:11:24.9821103Z  * [new tag]                 ciflow/trunk/169139         -> ciflow/trunk/169139
2025-12-04T08:11:24.9822423Z  * [new tag]                 ciflow/trunk/169148         -> ciflow/trunk/169148
2025-12-04T08:11:24.9823538Z  * [new tag]                 ciflow/trunk/169151         -> ciflow/trunk/169151
2025-12-04T08:11:24.9825018Z  * [new tag]                 ciflow/trunk/169156         -> ciflow/trunk/169156
2025-12-04T08:11:24.9826114Z  * [new tag]                 ciflow/trunk/169176         -> ciflow/trunk/169176
2025-12-04T08:11:24.9827394Z  * [new tag]                 ciflow/trunk/169204         -> ciflow/trunk/169204
2025-12-04T08:11:24.9828534Z  * [new tag]                 ciflow/trunk/169207         -> ciflow/trunk/169207
2025-12-04T08:11:24.9830004Z  * [new tag]                 ciflow/trunk/169211         -> ciflow/trunk/169211
2025-12-04T08:11:24.9831497Z  * [new tag]                 ciflow/trunk/169229         -> ciflow/trunk/169229
2025-12-04T08:11:24.9832926Z  * [new tag]                 ciflow/trunk/169231         -> ciflow/trunk/169231
2025-12-04T08:11:24.9834295Z  * [new tag]                 ciflow/trunk/169260         -> ciflow/trunk/169260
2025-12-04T08:11:24.9835828Z  * [new tag]                 ciflow/trunk/169271         -> ciflow/trunk/169271
2025-12-04T08:11:24.9836867Z  * [new tag]                 ciflow/trunk/169280         -> ciflow/trunk/169280
2025-12-04T08:11:24.9838125Z  * [new tag]                 ciflow/trunk/169281         -> ciflow/trunk/169281
2025-12-04T08:11:24.9840164Z  * [new tag]                 ciflow/trunk/169286         -> ciflow/trunk/169286
2025-12-04T08:11:24.9841146Z  * [new tag]                 ciflow/trunk/169293         -> ciflow/trunk/169293
2025-12-04T08:11:24.9842502Z  * [new tag]                 ciflow/trunk/169296         -> ciflow/trunk/169296
2025-12-04T08:11:24.9843594Z  * [new tag]                 ciflow/trunk/169304         -> ciflow/trunk/169304
2025-12-04T08:11:24.9845036Z  * [new tag]                 ciflow/trunk/169305         -> ciflow/trunk/169305
2025-12-04T08:11:24.9845955Z  * [new tag]                 ciflow/trunk/169312         -> ciflow/trunk/169312
2025-12-04T08:11:24.9847901Z  * [new tag]                 ciflow/trunk/169328         -> ciflow/trunk/169328
2025-12-04T08:11:24.9848786Z  * [new tag]                 ciflow/trunk/169343         -> ciflow/trunk/169343
2025-12-04T08:11:24.9850183Z  * [new tag]                 ciflow/trunk/169355         -> ciflow/trunk/169355
2025-12-04T08:11:24.9851223Z  * [new tag]                 ciflow/trunk/169370         -> ciflow/trunk/169370
2025-12-04T08:11:24.9852883Z  * [new tag]                 ciflow/trunk/169379         -> ciflow/trunk/169379
2025-12-04T08:11:24.9853771Z  * [new tag]                 ciflow/trunk/169380         -> ciflow/trunk/169380
2025-12-04T08:11:24.9855247Z  * [new tag]                 ciflow/trunk/169385         -> ciflow/trunk/169385
2025-12-04T08:11:24.9856193Z  * [new tag]                 ciflow/trunk/169387         -> ciflow/trunk/169387
2025-12-04T08:11:24.9857839Z  * [new tag]                 ciflow/trunk/169410         -> ciflow/trunk/169410
2025-12-04T08:11:24.9858750Z  * [new tag]                 ciflow/trunk/169412         -> ciflow/trunk/169412
2025-12-04T08:11:24.9860239Z  * [new tag]                 ciflow/trunk/169418         -> ciflow/trunk/169418
2025-12-04T08:11:24.9861223Z  * [new tag]                 ciflow/trunk/169423         -> ciflow/trunk/169423
2025-12-04T08:11:24.9862654Z  * [new tag]                 ciflow/trunk/169427         -> ciflow/trunk/169427
2025-12-04T08:11:24.9863611Z  * [new tag]                 ciflow/trunk/169430         -> ciflow/trunk/169430
2025-12-04T08:11:24.9864828Z  * [new tag]                 ciflow/trunk/169437         -> ciflow/trunk/169437
2025-12-04T08:11:24.9865988Z  * [new tag]                 ciflow/trunk/169442         -> ciflow/trunk/169442
2025-12-04T08:11:24.9867137Z  * [new tag]                 ciflow/trunk/169452         -> ciflow/trunk/169452
2025-12-04T08:11:24.9868484Z  * [new tag]                 ciflow/trunk/169454         -> ciflow/trunk/169454
2025-12-04T08:11:24.9869418Z  * [new tag]                 ciflow/trunk/169459         -> ciflow/trunk/169459
2025-12-04T08:11:24.9871077Z  * [new tag]                 ciflow/trunk/169474         -> ciflow/trunk/169474
2025-12-04T08:11:24.9872021Z  * [new tag]                 ciflow/trunk/169475         -> ciflow/trunk/169475
2025-12-04T08:11:24.9873462Z  * [new tag]                 ciflow/trunk/169476         -> ciflow/trunk/169476
2025-12-04T08:11:24.9874611Z  * [new tag]                 ciflow/trunk/169487         -> ciflow/trunk/169487
2025-12-04T08:11:24.9875743Z  * [new tag]                 ciflow/trunk/169497         -> ciflow/trunk/169497
2025-12-04T08:11:24.9876988Z  * [new tag]                 ciflow/trunk/169503         -> ciflow/trunk/169503
2025-12-04T08:11:24.9878380Z  * [new tag]                 ciflow/trunk/169505         -> ciflow/trunk/169505
2025-12-04T08:11:24.9879308Z  * [new tag]                 ciflow/trunk/169507         -> ciflow/trunk/169507
2025-12-04T08:11:24.9880633Z  * [new tag]                 ciflow/trunk/169514         -> ciflow/trunk/169514
2025-12-04T08:11:24.9881975Z  * [new tag]                 ciflow/trunk/169517         -> ciflow/trunk/169517
2025-12-04T08:11:24.9882973Z  * [new tag]                 ciflow/trunk/169519         -> ciflow/trunk/169519
2025-12-04T08:11:24.9884130Z  * [new tag]                 ciflow/trunk/169528         -> ciflow/trunk/169528
2025-12-04T08:11:24.9885571Z  * [new tag]                 ciflow/trunk/169541         -> ciflow/trunk/169541
2025-12-04T08:11:24.9887325Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-12-04T08:11:24.9888418Z  * [new tag]                 ciflow/vllm/165270          -> ciflow/vllm/165270
2025-12-04T08:11:24.9889586Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-12-04T08:11:24.9890704Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-12-04T08:11:24.9891791Z  * [new tag]                 ciflow/vllm/169219          -> ciflow/vllm/169219
2025-12-04T08:11:24.9892918Z  * [new tag]                 ciflow/vllm/169220          -> ciflow/vllm/169220
2025-12-04T08:11:24.9894501Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-12-04T08:11:24.9895524Z  * [new tag]                 ciflow/xpu/159718           -> ciflow/xpu/159718
2025-12-04T08:11:24.9896632Z  * [new tag]                 ciflow/xpu/161940           -> ciflow/xpu/161940
2025-12-04T08:11:24.9898132Z  * [new tag]                 ciflow/xpu/163251           -> ciflow/xpu/163251
2025-12-04T08:11:24.9899034Z  * [new tag]                 ciflow/xpu/166829           -> ciflow/xpu/166829
2025-12-04T08:11:24.9900158Z  * [new tag]                 ciflow/xpu/166843           -> ciflow/xpu/166843
2025-12-04T08:11:24.9901311Z  * [new tag]                 ciflow/xpu/167972           -> ciflow/xpu/167972
2025-12-04T08:11:24.9902450Z  * [new tag]                 ciflow/xpu/167981           -> ciflow/xpu/167981
2025-12-04T08:11:24.9903419Z  * [new tag]                 ciflow/xpu/168213           -> ciflow/xpu/168213
2025-12-04T08:11:24.9904847Z  * [new tag]                 ciflow/xpu/168262           -> ciflow/xpu/168262
2025-12-04T08:11:24.9906423Z  * [new tag]                 ciflow/xpu/168328           -> ciflow/xpu/168328
2025-12-04T08:11:24.9907865Z  * [new tag]                 ciflow/xpu/168950           -> ciflow/xpu/168950
2025-12-04T08:11:24.9909683Z  * [new tag]                 ciflow/xpu/169039           -> ciflow/xpu/169039
2025-12-04T08:11:24.9910938Z  * [new tag]                 ciflow/xpu/169200           -> ciflow/xpu/169200
2025-12-04T08:11:24.9912120Z  * [new tag]                 ciflow/xpu/169203           -> ciflow/xpu/169203
2025-12-04T08:11:24.9913546Z  * [new tag]                 ciflow/xpu/169229           -> ciflow/xpu/169229
2025-12-04T08:11:24.9914538Z  * [new tag]                 ciflow/xpu/169230           -> ciflow/xpu/169230
2025-12-04T08:11:24.9915940Z  * [new tag]                 ciflow/xpu/169231           -> ciflow/xpu/169231
2025-12-04T08:11:24.9917318Z  * [new tag]                 ciflow/xpu/169241           -> ciflow/xpu/169241
2025-12-04T08:11:24.9918341Z  * [new tag]                 ciflow/xpu/169280           -> ciflow/xpu/169280
2025-12-04T08:11:24.9919522Z  * [new tag]                 ciflow/xpu/169296           -> ciflow/xpu/169296
2025-12-04T08:11:24.9921147Z  * [new tag]                 ciflow/xpu/169353           -> ciflow/xpu/169353
2025-12-04T08:11:24.9922048Z  * [new tag]                 ciflow/xpu/169410           -> ciflow/xpu/169410
2025-12-04T08:11:24.9923394Z  * [new tag]                 ciflow/xpu/169442           -> ciflow/xpu/169442
2025-12-04T08:11:24.9924719Z  * [new tag]                 cslpull75                   -> cslpull75
2025-12-04T08:11:24.9926008Z  * [new tag]                 cslpull76                   -> cslpull76
2025-12-04T08:11:24.9927280Z  * [new tag]                 cslpull77                   -> cslpull77
2025-12-04T08:11:24.9928759Z  * [new tag]                 cslpull78                   -> cslpull78
2025-12-04T08:11:24.9930351Z  * [new tag]                 cslpull79                   -> cslpull79
2025-12-04T08:11:24.9931924Z  * [new tag]                 cslpull80                   -> cslpull80
2025-12-04T08:11:24.9933294Z  * [new tag]                 cslpull81                   -> cslpull81
2025-12-04T08:11:24.9934640Z  * [new tag]                 cslpull82                   -> cslpull82
2025-12-04T08:11:24.9936123Z  * [new tag]                 cslpull83                   -> cslpull83
2025-12-04T08:11:24.9937485Z  * [new tag]                 cslpull84                   -> cslpull84
2025-12-04T08:11:24.9938775Z  * [new tag]                 cslpull85                   -> cslpull85
2025-12-04T08:11:24.9940366Z  * [new tag]                 cslpull86                   -> cslpull86
2025-12-04T08:11:24.9941643Z  * [new tag]                 cslpull87                   -> cslpull87
2025-12-04T08:11:24.9943140Z  * [new tag]                 cslpull88                   -> cslpull88
2025-12-04T08:11:24.9944239Z  * [new tag]                 cslpull89                   -> cslpull89
2025-12-04T08:11:24.9945446Z  * [new tag]                 cslpull90                   -> cslpull90
2025-12-04T08:11:24.9947440Z  * [new tag]                 cslpull91                   -> cslpull91
2025-12-04T08:11:24.9948443Z  * [new tag]                 cslpull92                   -> cslpull92
2025-12-04T08:11:24.9950284Z  * [new tag]                 flight_5                    -> flight_5
2025-12-04T08:11:24.9951855Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-12-04T08:11:24.9952933Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-12-04T08:11:24.9954668Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-12-04T08:11:24.9955692Z  * [new tag]                 forpull1                    -> forpull1
2025-12-04T08:11:24.9957608Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-12-04T08:11:24.9958657Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-12-04T08:11:24.9960425Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-12-04T08:11:24.9961462Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-12-04T08:11:24.9963113Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-12-04T08:11:24.9965148Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-12-04T08:11:24.9966517Z  * [new tag]                 trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272
2025-12-04T08:11:24.9967885Z  * [new tag]                 trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e
2025-12-04T08:11:24.9969953Z  * [new tag]                 trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88
2025-12-04T08:11:24.9971278Z  * [new tag]                 trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654
2025-12-04T08:11:24.9972822Z  * [new tag]                 trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb
2025-12-04T08:11:24.9974241Z  * [new tag]                 trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b
2025-12-04T08:11:24.9975618Z  * [new tag]                 trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672
2025-12-04T08:11:24.9976894Z  * [new tag]                 trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75
2025-12-04T08:11:24.9978653Z  * [new tag]                 trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2
2025-12-04T08:11:24.9979943Z  * [new tag]                 trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5
2025-12-04T08:11:24.9981847Z  * [new tag]                 trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688
2025-12-04T08:11:24.9983189Z  * [new tag]                 trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10
2025-12-04T08:11:24.9984934Z  * [new tag]                 trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec
2025-12-04T08:11:24.9986094Z  * [new tag]                 trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f
2025-12-04T08:11:24.9988204Z  * [new tag]                 trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11
2025-12-04T08:11:24.9989272Z  * [new tag]                 trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63
2025-12-04T08:11:24.9990746Z  * [new tag]                 trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5
2025-12-04T08:11:24.9992223Z  * [new tag]                 trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676
2025-12-04T08:11:24.9993542Z  * [new tag]                 trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e
2025-12-04T08:11:24.9994882Z  * [new tag]                 trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520
2025-12-04T08:11:24.9996333Z  * [new tag]                 trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8
2025-12-04T08:11:24.9997870Z  * [new tag]                 trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c
2025-12-04T08:11:24.9998993Z  * [new tag]                 trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d
2025-12-04T08:11:25.0000342Z  * [new tag]                 trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8
2025-12-04T08:11:25.0001901Z  * [new tag]                 trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de
2025-12-04T08:11:25.0003257Z  * [new tag]                 trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543
2025-12-04T08:11:25.0006352Z  * [new tag]                 trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7
2025-12-04T08:11:25.0007295Z  * [new tag]                 trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f
2025-12-04T08:11:25.0008037Z  * [new tag]                 trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9
2025-12-04T08:11:25.0008777Z  * [new tag]                 trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87
2025-12-04T08:11:25.0009707Z  * [new tag]                 trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc
2025-12-04T08:11:25.0010965Z  * [new tag]                 trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25
2025-12-04T08:11:25.0012465Z  * [new tag]                 trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563
2025-12-04T08:11:25.0013888Z  * [new tag]                 trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf
2025-12-04T08:11:25.0014988Z  * [new tag]                 trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd
2025-12-04T08:11:25.0016352Z  * [new tag]                 trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1
2025-12-04T08:11:25.0017713Z  * [new tag]                 trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708
2025-12-04T08:11:25.0019475Z  * [new tag]                 trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35
2025-12-04T08:11:25.0020713Z  * [new tag]                 trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec
2025-12-04T08:11:25.0022371Z  * [new tag]                 trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94
2025-12-04T08:11:25.0023769Z  * [new tag]                 trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1
2025-12-04T08:11:25.0025127Z  * [new tag]                 trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48
2025-12-04T08:11:25.0026709Z  * [new tag]                 trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991
2025-12-04T08:11:25.0028124Z  * [new tag]                 trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8
2025-12-04T08:11:25.0029448Z  * [new tag]                 trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf
2025-12-04T08:11:25.0031017Z  * [new tag]                 trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee
2025-12-04T08:11:25.0032439Z  * [new tag]                 trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938
2025-12-04T08:11:25.0033507Z  * [new tag]                 trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725
2025-12-04T08:11:25.0034950Z  * [new tag]                 trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae
2025-12-04T08:11:25.0037252Z  * [new tag]                 trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f
2025-12-04T08:11:25.0038250Z  * [new tag]                 trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c
2025-12-04T08:11:25.0039767Z  * [new tag]                 trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247
2025-12-04T08:11:25.0041153Z  * [new tag]                 trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c
2025-12-04T08:11:25.0042500Z  * [new tag]                 trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a
2025-12-04T08:11:25.0043695Z  * [new tag]                 trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686
2025-12-04T08:11:25.0045857Z  * [new tag]                 trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54
2025-12-04T08:11:25.0046644Z  * [new tag]                 trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af
2025-12-04T08:11:25.0048230Z  * [new tag]                 trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96
2025-12-04T08:11:25.0049611Z  * [new tag]                 trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873
2025-12-04T08:11:25.0051056Z  * [new tag]                 trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985
2025-12-04T08:11:25.0052137Z  * [new tag]                 trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f
2025-12-04T08:11:25.0054107Z  * [new tag]                 trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa
2025-12-04T08:11:25.0055236Z  * [new tag]                 trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c
2025-12-04T08:11:25.0057676Z  * [new tag]                 trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a
2025-12-04T08:11:25.0058724Z  * [new tag]                 trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d
2025-12-04T08:11:25.0060206Z  * [new tag]                 trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9
2025-12-04T08:11:25.0061471Z  * [new tag]                 trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3
2025-12-04T08:11:25.0062984Z  * [new tag]                 trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a
2025-12-04T08:11:25.0064509Z  * [new tag]                 trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292
2025-12-04T08:11:25.0065873Z  * [new tag]                 trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28
2025-12-04T08:11:25.0067236Z  * [new tag]                 trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66
2025-12-04T08:11:25.0068670Z  * [new tag]                 trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96
2025-12-04T08:11:25.0069862Z  * [new tag]                 trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc
2025-12-04T08:11:25.0071752Z  * [new tag]                 trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068
2025-12-04T08:11:25.0073109Z  * [new tag]                 trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd
2025-12-04T08:11:25.0074316Z  * [new tag]                 trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6
2025-12-04T08:11:25.0076199Z  * [new tag]                 trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883
2025-12-04T08:11:25.0077400Z  * [new tag]                 trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c
2025-12-04T08:11:25.0078928Z  * [new tag]                 trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b
2025-12-04T08:11:25.0080082Z  * [new tag]                 trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c
2025-12-04T08:11:25.0081637Z  * [new tag]                 trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202
2025-12-04T08:11:25.0083125Z  * [new tag]                 trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447
2025-12-04T08:11:25.0084636Z  * [new tag]                 trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef
2025-12-04T08:11:25.0086091Z  * [new tag]                 trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719
2025-12-04T08:11:25.0087453Z  * [new tag]                 trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b
2025-12-04T08:11:25.0088794Z  * [new tag]                 trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a
2025-12-04T08:11:25.0090378Z  * [new tag]                 trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206
2025-12-04T08:11:25.0091738Z  * [new tag]                 trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386
2025-12-04T08:11:25.0093058Z  * [new tag]                 trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4
2025-12-04T08:11:25.0094507Z  * [new tag]                 trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d
2025-12-04T08:11:25.0095925Z  * [new tag]                 trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b
2025-12-04T08:11:25.0097289Z  * [new tag]                 trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5
2025-12-04T08:11:25.0098806Z  * [new tag]                 trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8
2025-12-04T08:11:25.0100182Z  * [new tag]                 trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec
2025-12-04T08:11:25.0101621Z  * [new tag]                 trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71
2025-12-04T08:11:25.0103041Z  * [new tag]                 trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d
2025-12-04T08:11:25.0104424Z  * [new tag]                 trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a
2025-12-04T08:11:25.0105934Z  * [new tag]                 trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e
2025-12-04T08:11:25.0107312Z  * [new tag]                 trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8
2025-12-04T08:11:25.0108676Z  * [new tag]                 trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485
2025-12-04T08:11:25.0110095Z  * [new tag]                 trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734
2025-12-04T08:11:25.0111452Z  * [new tag]                 trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f
2025-12-04T08:11:25.0113037Z  * [new tag]                 trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696
2025-12-04T08:11:25.0114386Z  * [new tag]                 trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03
2025-12-04T08:11:25.0115963Z  * [new tag]                 trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6
2025-12-04T08:11:25.0117401Z  * [new tag]                 trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7
2025-12-04T08:11:25.0118635Z  * [new tag]                 trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3
2025-12-04T08:11:25.0120154Z  * [new tag]                 trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca
2025-12-04T08:11:25.0121487Z  * [new tag]                 trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b
2025-12-04T08:11:25.0122923Z  * [new tag]                 trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609
2025-12-04T08:11:25.0124452Z  * [new tag]                 trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b
2025-12-04T08:11:25.0125581Z  * [new tag]                 trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T08:11:25.0126781Z  * [new tag]                 trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8
2025-12-04T08:11:25.0129068Z  * [new tag]                 trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed
2025-12-04T08:11:25.0130192Z  * [new tag]                 trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8
2025-12-04T08:11:25.0131600Z  * [new tag]                 trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e
2025-12-04T08:11:25.0132732Z  * [new tag]                 trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead
2025-12-04T08:11:25.0134141Z  * [new tag]                 trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718
2025-12-04T08:11:25.0136382Z  * [new tag]                 trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0
2025-12-04T08:11:25.0137791Z  * [new tag]                 trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75
2025-12-04T08:11:25.0139282Z  * [new tag]                 trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece
2025-12-04T08:11:25.0140498Z  * [new tag]                 trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6
2025-12-04T08:11:25.0142564Z  * [new tag]                 trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4
2025-12-04T08:11:25.0143632Z  * [new tag]                 trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c
2025-12-04T08:11:25.0145127Z  * [new tag]                 trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43
2025-12-04T08:11:25.0146572Z  * [new tag]                 trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922
2025-12-04T08:11:25.0148011Z  * [new tag]                 trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca
2025-12-04T08:11:25.0149443Z  * [new tag]                 trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38
2025-12-04T08:11:25.0150681Z  * [new tag]                 trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90
2025-12-04T08:11:25.0151940Z  * [new tag]                 trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c
2025-12-04T08:11:25.0153418Z  * [new tag]                 trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87
2025-12-04T08:11:25.0154694Z  * [new tag]                 trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693
2025-12-04T08:11:25.0156121Z  * [new tag]                 trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa
2025-12-04T08:11:25.0157489Z  * [new tag]                 trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d
2025-12-04T08:11:25.0158915Z  * [new tag]                 trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639
2025-12-04T08:11:25.0160392Z  * [new tag]                 trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8
2025-12-04T08:11:25.0161859Z  * [new tag]                 trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d
2025-12-04T08:11:25.0163265Z  * [new tag]                 trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a
2025-12-04T08:11:25.0164927Z  * [new tag]                 trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742
2025-12-04T08:11:25.0166455Z  * [new tag]                 trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098
2025-12-04T08:11:25.0167883Z  * [new tag]                 trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa
2025-12-04T08:11:25.0169204Z  * [new tag]                 trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d
2025-12-04T08:11:25.0171137Z  * [new tag]                 trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c
2025-12-04T08:11:25.0172338Z  * [new tag]                 trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90
2025-12-04T08:11:25.0173813Z  * [new tag]                 trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c
2025-12-04T08:11:25.0175140Z  * [new tag]                 trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45
2025-12-04T08:11:25.0176567Z  * [new tag]                 trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109
2025-12-04T08:11:25.0178015Z  * [new tag]                 trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e
2025-12-04T08:11:25.0179374Z  * [new tag]                 trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e
2025-12-04T08:11:25.0180649Z  * [new tag]                 trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e
2025-12-04T08:11:25.0182193Z  * [new tag]                 trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48
2025-12-04T08:11:25.0183613Z  * [new tag]                 trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62
2025-12-04T08:11:25.0184863Z  * [new tag]                 trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2
2025-12-04T08:11:25.0185983Z  * [new tag]                 trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99
2025-12-04T08:11:25.0187170Z  * [new tag]                 trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24
2025-12-04T08:11:25.0188321Z  * [new tag]                 trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7
2025-12-04T08:11:25.0189447Z  * [new tag]                 trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a
2025-12-04T08:11:25.0190627Z  * [new tag]                 trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417
2025-12-04T08:11:25.0191789Z  * [new tag]                 trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4
2025-12-04T08:11:25.0192794Z  * [new tag]                 trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b
2025-12-04T08:11:25.0194025Z  * [new tag]                 trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e
2025-12-04T08:11:25.0195010Z  * [new tag]                 trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf
2025-12-04T08:11:25.0195944Z  * [new tag]                 trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5
2025-12-04T08:11:25.0197181Z  * [new tag]                 trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f
2025-12-04T08:11:25.0198177Z  * [new tag]                 trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f
2025-12-04T08:11:25.0199266Z  * [new tag]                 trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2
2025-12-04T08:11:25.0200349Z  * [new tag]                 trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55
2025-12-04T08:11:25.0201663Z  * [new tag]                 trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8
2025-12-04T08:11:25.0202898Z  * [new tag]                 trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09
2025-12-04T08:11:25.0203891Z  * [new tag]                 trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5
2025-12-04T08:11:25.0205308Z  * [new tag]                 trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564
2025-12-04T08:11:25.0206356Z  * [new tag]                 trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede
2025-12-04T08:11:25.0207456Z  * [new tag]                 trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac
2025-12-04T08:11:25.0213958Z  * [new tag]                 trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb
2025-12-04T08:11:25.0214576Z  * [new tag]                 trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1
2025-12-04T08:11:25.0215028Z  * [new tag]                 trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0
2025-12-04T08:11:25.0215409Z  * [new tag]                 trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09
2025-12-04T08:11:25.0215869Z  * [new tag]                 trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9
2025-12-04T08:11:25.0216281Z  * [new tag]                 trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a
2025-12-04T08:11:25.0216688Z  * [new tag]                 trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace
2025-12-04T08:11:25.0217123Z  * [new tag]                 trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39
2025-12-04T08:11:25.0217521Z  * [new tag]                 trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50
2025-12-04T08:11:25.0218123Z  * [new tag]                 trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01
2025-12-04T08:11:25.0219315Z  * [new tag]                 trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf
2025-12-04T08:11:25.0220312Z  * [new tag]                 trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8
2025-12-04T08:11:25.0221235Z  * [new tag]                 trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d
2025-12-04T08:11:25.0222450Z  * [new tag]                 trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47
2025-12-04T08:11:25.0223398Z  * [new tag]                 trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1
2025-12-04T08:11:25.0224523Z  * [new tag]                 trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e
2025-12-04T08:11:25.0225617Z  * [new tag]                 trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a
2025-12-04T08:11:25.0226561Z  * [new tag]                 trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b
2025-12-04T08:11:25.0227725Z  * [new tag]                 trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec
2025-12-04T08:11:25.0228840Z  * [new tag]                 trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf
2025-12-04T08:11:25.0229763Z  * [new tag]                 trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd
2025-12-04T08:11:25.0231004Z  * [new tag]                 trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889
2025-12-04T08:11:25.0231969Z  * [new tag]                 trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77
2025-12-04T08:11:25.0233430Z  * [new tag]                 trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c
2025-12-04T08:11:25.0234720Z  * [new tag]                 trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b
2025-12-04T08:11:25.0235419Z  * [new tag]                 trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235
2025-12-04T08:11:25.0236707Z  * [new tag]                 trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e
2025-12-04T08:11:25.0237869Z  * [new tag]                 trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc
2025-12-04T08:11:25.0239003Z  * [new tag]                 trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf
2025-12-04T08:11:25.0240007Z  * [new tag]                 trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e
2025-12-04T08:11:25.0241120Z  * [new tag]                 trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e
2025-12-04T08:11:25.0242628Z  * [new tag]                 trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2
2025-12-04T08:11:25.0243581Z  * [new tag]                 trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4
2025-12-04T08:11:25.0244838Z  * [new tag]                 trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53
2025-12-04T08:11:25.0245785Z  * [new tag]                 trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598
2025-12-04T08:11:25.0246952Z  * [new tag]                 trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40
2025-12-04T08:11:25.0247882Z  * [new tag]                 trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56
2025-12-04T08:11:25.0249002Z  * [new tag]                 trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8
2025-12-04T08:11:25.0249906Z  * [new tag]                 trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467
2025-12-04T08:11:25.0251091Z  * [new tag]                 trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17
2025-12-04T08:11:25.0252060Z  * [new tag]                 trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73
2025-12-04T08:11:25.0252949Z  * [new tag]                 trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7
2025-12-04T08:11:25.0254160Z  * [new tag]                 trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b
2025-12-04T08:11:25.0255281Z  * [new tag]                 trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7
2025-12-04T08:11:25.0256814Z  * [new tag]                 trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307
2025-12-04T08:11:25.0257774Z  * [new tag]                 trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009
2025-12-04T08:11:25.0258720Z  * [new tag]                 trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:11:25.0259476Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-12-04T08:11:25.0260514Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-12-04T08:11:25.0261534Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-12-04T08:11:25.0262505Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-12-04T08:11:25.0263507Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-12-04T08:11:25.0264403Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-12-04T08:11:25.0265349Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-12-04T08:11:25.0266387Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-12-04T08:11:25.0267290Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-12-04T08:11:25.0268220Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-12-04T08:11:25.0269141Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-12-04T08:11:25.0270245Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-12-04T08:11:25.0271299Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-12-04T08:11:25.0272708Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-12-04T08:11:25.0273807Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-12-04T08:11:25.0274761Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-12-04T08:11:25.0275741Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-12-04T08:11:25.0276708Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-12-04T08:11:25.0277707Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-12-04T08:11:25.0278703Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-12-04T08:11:25.0279699Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-12-04T08:11:25.0280624Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-12-04T08:11:25.0281764Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-12-04T08:11:25.0282694Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-12-04T08:11:25.0283917Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-12-04T08:11:25.0284945Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-12-04T08:11:25.0285989Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-12-04T08:11:25.0286694Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-12-04T08:11:25.0287878Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-12-04T08:11:25.0288592Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-12-04T08:11:25.0289460Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-12-04T08:11:25.0290183Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-12-04T08:11:25.0291233Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-12-04T08:11:25.0292361Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-12-04T08:11:25.0293428Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-12-04T08:11:25.0294525Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-12-04T08:11:25.0295550Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-12-04T08:11:25.0296624Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-12-04T08:11:25.0297346Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-12-04T08:11:25.0298201Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-12-04T08:11:25.0299354Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-12-04T08:11:25.0300370Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-12-04T08:11:25.0301387Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-12-04T08:11:25.0302560Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-12-04T08:11:25.0303605Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-12-04T08:11:25.0304648Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-12-04T08:11:25.0305730Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-12-04T08:11:25.0306572Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-12-04T08:11:25.0307392Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-12-04T08:11:25.0308077Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-12-04T08:11:25.0309249Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-12-04T08:11:25.0310355Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-12-04T08:11:25.0311512Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-12-04T08:11:25.0312581Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-12-04T08:11:25.0313296Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-12-04T08:11:25.0314426Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-12-04T08:11:25.0315385Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-12-04T08:11:25.0316398Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-12-04T08:11:25.0317402Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-12-04T08:11:25.0318600Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-12-04T08:11:25.0319349Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-12-04T08:11:25.0320205Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-12-04T08:11:25.0321323Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-12-04T08:11:25.0322057Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-12-04T08:11:25.0323071Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-12-04T08:11:25.0324053Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-12-04T08:11:25.0325032Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-12-04T08:11:25.0326078Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-12-04T08:11:25.0326730Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-12-04T08:11:25.0327765Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-12-04T08:11:25.0328718Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-12-04T08:11:25.0329490Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-12-04T08:11:25.0330630Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-12-04T08:11:25.0331700Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-12-04T08:11:25.0332737Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-12-04T08:11:25.0333967Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-12-04T08:11:25.0334968Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-12-04T08:11:25.0336251Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-12-04T08:11:25.0337284Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-12-04T08:11:25.0338153Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-12-04T08:11:25.0338817Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-12-04T08:11:25.0339902Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-12-04T08:11:25.0341013Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-12-04T08:11:25.0342076Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-12-04T08:11:25.0343057Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-12-04T08:11:25.0344081Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-12-04T08:11:25.0345462Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-12-04T08:11:25.0346319Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-12-04T08:11:25.0347358Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-12-04T08:11:25.0348442Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-12-04T08:11:25.0349501Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-12-04T08:11:25.0350725Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-12-04T08:11:25.0351443Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-12-04T08:11:25.0352555Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-12-04T08:11:25.0353707Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-12-04T08:11:25.0354816Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-12-04T08:11:25.0355680Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-12-04T08:11:25.0356737Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-12-04T08:11:25.0357577Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-12-04T08:11:25.0358660Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-12-04T08:11:25.0359688Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-12-04T08:11:25.0360658Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-12-04T08:11:25.0361390Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-12-04T08:11:25.0362302Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-12-04T08:11:25.0363335Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-12-04T08:11:25.0364202Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-12-04T08:11:25.0364903Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-12-04T08:11:25.0366638Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-12-04T08:11:25.0367367Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-12-04T08:11:25.0368487Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-12-04T08:11:25.0369523Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-12-04T08:11:25.0370655Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-12-04T08:11:25.0371724Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-12-04T08:11:25.0372439Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-12-04T08:11:25.0373552Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-12-04T08:11:25.0374829Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-12-04T08:11:25.0375531Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-12-04T08:11:25.0376661Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-12-04T08:11:25.0377664Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-12-04T08:11:25.0378737Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-12-04T08:11:25.0379821Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-12-04T08:11:25.0381014Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-12-04T08:11:25.0382100Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-12-04T08:11:25.0382836Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-12-04T08:11:25.0384033Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-12-04T08:11:25.0385090Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-12-04T08:11:25.0385827Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-12-04T08:11:25.0386916Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-12-04T08:11:25.0387646Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-12-04T08:11:25.0389249Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-12-04T08:11:25.0390314Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-12-04T08:11:25.0391568Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-12-04T08:11:25.0392506Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-12-04T08:11:25.0393559Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-12-04T08:11:25.0394654Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-12-04T08:11:25.0395382Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-12-04T08:11:25.0396628Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-12-04T08:11:25.0397603Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-12-04T08:11:25.0398676Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-12-04T08:11:25.0399978Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-12-04T08:11:25.0401033Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-12-04T08:11:25.0402695Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-12-04T08:11:25.0403402Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-12-04T08:11:25.0404552Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-12-04T08:11:25.0405624Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-12-04T08:11:25.0406733Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-12-04T08:11:25.0407717Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-12-04T08:11:25.0408867Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-12-04T08:11:25.0409878Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-12-04T08:11:25.0410891Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-12-04T08:11:25.0411910Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-12-04T08:11:25.0412927Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-12-04T08:11:25.0413898Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-12-04T08:11:25.0414954Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-12-04T08:11:25.0415681Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-12-04T08:11:25.0416591Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-12-04T08:11:25.0417670Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-12-04T08:11:25.0418758Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-12-04T08:11:25.0419497Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-12-04T08:11:25.0420386Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-12-04T08:11:25.0421106Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-12-04T08:11:25.0422320Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-12-04T08:11:25.0423062Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-12-04T08:11:25.0423968Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-12-04T08:11:25.0425039Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-12-04T08:11:25.0426133Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-12-04T08:11:25.0427209Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-12-04T08:11:25.0428403Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-12-04T08:11:25.0429105Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-12-04T08:11:25.0430257Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-12-04T08:11:25.0431375Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-12-04T08:11:25.0432539Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-12-04T08:11:25.0433681Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-12-04T08:11:25.0434365Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-12-04T08:11:25.0435428Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-12-04T08:11:25.0436583Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-12-04T08:11:25.0437291Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-12-04T08:11:25.0438191Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-12-04T08:11:25.0439283Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-12-04T08:11:25.0440360Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-12-04T08:11:25.0441463Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-12-04T08:11:25.0442546Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-12-04T08:11:25.0443583Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-12-04T08:11:25.0444634Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-12-04T08:11:25.0445633Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-12-04T08:11:25.0446624Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-12-04T08:11:25.0447756Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-12-04T08:11:25.0448900Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-12-04T08:11:25.0449925Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-12-04T08:11:25.0450981Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-12-04T08:11:25.0452643Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-12-04T08:11:25.0453057Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-12-04T08:11:25.0454093Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-12-04T08:11:25.0455148Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-12-04T08:11:25.0456248Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-12-04T08:11:25.0457307Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-12-04T08:11:25.0458308Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-12-04T08:11:25.0459029Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-12-04T08:11:25.0460182Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-12-04T08:11:25.0461230Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-12-04T08:11:25.0462242Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-12-04T08:11:25.0463298Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-12-04T08:11:25.0464427Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-12-04T08:11:25.0465577Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-12-04T08:11:25.0466684Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-12-04T08:11:25.0468217Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-12-04T08:11:25.0468934Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-12-04T08:11:25.0470009Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-12-04T08:11:25.0470704Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-12-04T08:11:25.0471883Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-12-04T08:11:25.0473064Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-12-04T08:11:25.0474148Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-12-04T08:11:25.0475221Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-12-04T08:11:25.0476551Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-12-04T08:11:25.0477684Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-12-04T08:11:25.0478773Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-12-04T08:11:25.0479903Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-12-04T08:11:25.0481197Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-12-04T08:11:25.0482425Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-12-04T08:11:25.0483535Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-12-04T08:11:25.0484413Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-12-04T08:11:25.0485633Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-12-04T08:11:25.0486803Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-12-04T08:11:25.0487922Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-12-04T08:11:25.0488930Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-12-04T08:11:25.0489967Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-12-04T08:11:25.0491035Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-12-04T08:11:25.0492185Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-12-04T08:11:25.0493341Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-12-04T08:11:25.0494088Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-12-04T08:11:25.0495253Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-12-04T08:11:25.0496439Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-12-04T08:11:25.0497531Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-12-04T08:11:25.0498648Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-12-04T08:11:25.0499716Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-12-04T08:11:25.0500723Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-12-04T08:11:25.0501826Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-12-04T08:11:25.0503069Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-12-04T08:11:25.0504026Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-12-04T08:11:25.0505013Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-12-04T08:11:25.0505928Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-12-04T08:11:25.0507017Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-12-04T08:11:25.0507986Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-12-04T08:11:25.0508904Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-12-04T08:11:25.0509848Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-12-04T08:11:25.0510897Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-12-04T08:11:25.0511871Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-12-04T08:11:25.0512850Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-12-04T08:11:25.0513999Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-12-04T08:11:25.0514981Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-12-04T08:11:25.0515925Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-12-04T08:11:25.0516931Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-12-04T08:11:25.0518069Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-12-04T08:11:25.0519057Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-12-04T08:11:25.0520493Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-12-04T08:11:25.0520923Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-12-04T08:11:25.0521621Z  * [new tag]                 v2.9.1                      -> v2.9.1
2025-12-04T08:11:25.0522598Z  * [new tag]                 v2.9.1-rc1                  -> v2.9.1-rc1
2025-12-04T08:11:25.0523577Z  * [new tag]                 v2.9.1-rc2                  -> v2.9.1-rc2
2025-12-04T08:11:25.0524859Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-12-04T08:11:25.0525772Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-12-04T08:11:25.0526587Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-12-04T08:11:25.0527418Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-12-04T08:11:25.0528384Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-12-04T08:11:25.0529192Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-12-04T08:11:25.0530246Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-12-04T08:11:25.0531054Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-12-04T08:11:25.0532022Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-12-04T08:11:25.0533121Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-12-04T08:11:25.0534197Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-12-04T08:11:25.0535160Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-12-04T08:11:25.0536111Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-12-04T08:11:25.0536960Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-12-04T08:11:25.0537897Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-12-04T08:11:25.0538753Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-12-04T08:11:25.0539719Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-12-04T08:11:25.0540559Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-12-04T08:11:25.0541525Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-12-04T08:11:25.0542362Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-12-04T08:11:25.0543321Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-12-04T08:11:25.0544156Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-12-04T08:11:25.0545033Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-12-04T08:11:25.0545996Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-12-04T08:11:25.0546800Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-12-04T08:11:25.0547763Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-12-04T08:11:25.0548706Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-12-04T08:11:25.0549638Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-12-04T08:11:25.0550512Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-12-04T08:11:25.0552026Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-12-04T08:11:25.0552855Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-12-04T08:11:25.0553820Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-12-04T08:11:25.0554814Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-12-04T08:11:25.0555612Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-12-04T08:11:25.0556629Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-12-04T08:11:25.0557413Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-12-04T08:11:25.0558414Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-12-04T08:11:25.0559256Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-12-04T08:11:25.0560299Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-12-04T08:11:25.0561106Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-12-04T08:11:25.0562102Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-12-04T08:11:25.0562883Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-12-04T08:11:25.0563859Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-12-04T08:11:25.0564827Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-12-04T08:11:25.0565585Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-12-04T08:11:25.0566736Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-12-04T08:11:25.0567577Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-12-04T08:11:25.0568610Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-12-04T08:11:25.0569403Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-12-04T08:11:25.0570422Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-12-04T08:11:25.0571259Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-12-04T08:11:25.0572166Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-12-04T08:11:25.0573263Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-12-04T08:11:25.0574049Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-12-04T08:11:25.0574925Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-12-04T08:11:25.0575945Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-12-04T08:11:25.0576955Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-12-04T08:11:25.0577708Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-12-04T08:11:25.0578764Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-12-04T08:11:25.0579608Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-12-04T08:11:25.0580537Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-12-04T08:11:25.0581623Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-12-04T08:11:25.0582437Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-12-04T08:11:25.0583452Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-12-04T08:11:25.0584269Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-12-04T08:11:25.0585301Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-12-04T08:11:25.0586102Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-12-04T08:11:25.0587101Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-12-04T08:11:25.0588210Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-12-04T08:11:25.0588754Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-12-04T08:11:25.0589857Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-12-04T08:11:25.0590959Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-12-04T08:11:25.0591929Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-12-04T08:11:25.0592742Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-12-04T08:11:25.0593706Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-12-04T08:11:25.0594393Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-12-04T08:11:25.0595418Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-12-04T08:11:25.0596234Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-12-04T08:11:25.0597201Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-12-04T08:11:25.0598031Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-12-04T08:11:25.0599064Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-12-04T08:11:25.0599885Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-12-04T08:11:25.0600918Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-12-04T08:11:25.0601712Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-12-04T08:11:25.0602719Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-12-04T08:11:25.0603542Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-12-04T08:11:25.0604541Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-12-04T08:11:25.0605347Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-12-04T08:11:25.0606436Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-12-04T08:11:25.0607225Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-12-04T08:11:25.0608214Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-12-04T08:11:25.0609416Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-12-04T08:11:25.0610204Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-12-04T08:11:25.0611594Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-12-04T08:11:25.0612417Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-12-04T08:11:25.0613163Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-12-04T08:11:25.0614186Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-12-04T08:11:25.0615011Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-12-04T08:11:25.0616022Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-12-04T08:11:25.0616811Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-12-04T08:11:25.0617836Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-12-04T08:11:25.0618923Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-12-04T08:11:25.0619988Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-12-04T08:11:25.0620835Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-12-04T08:11:25.0621728Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-12-04T08:11:25.0622570Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-12-04T08:11:25.0623627Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-12-04T08:11:25.0624565Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-12-04T08:11:25.0625354Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-12-04T08:11:25.0626362Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-12-04T08:11:25.0627341Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-12-04T08:11:25.0628137Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-12-04T08:11:25.0629123Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-12-04T08:11:25.0630016Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-12-04T08:11:25.0631104Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-12-04T08:11:25.0631938Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-12-04T08:11:25.0632938Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-12-04T08:11:25.0633773Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-12-04T08:11:25.0634763Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-12-04T08:11:25.0635754Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-12-04T08:11:25.0636572Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-12-04T08:11:25.0637447Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-12-04T08:11:25.0638416Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-12-04T08:11:25.0639248Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-12-04T08:11:25.0640418Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-12-04T08:11:25.0641279Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-12-04T08:11:25.0642280Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-12-04T08:11:25.0643191Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-12-04T08:11:25.0644182Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-12-04T08:11:25.0645004Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-12-04T08:11:25.0645959Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-12-04T08:11:25.0646697Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-12-04T08:11:25.0647484Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-12-04T08:11:25.0648475Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-12-04T08:11:25.0649452Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-12-04T08:11:25.0650283Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-12-04T08:11:25.0651296Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-12-04T08:11:25.0652298Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-12-04T08:11:25.0653298Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-12-04T08:11:25.0654181Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-12-04T08:11:25.0655107Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-12-04T08:11:25.0656043Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-12-04T08:11:25.0657327Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-12-04T08:11:25.0658334Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-12-04T08:11:25.0659134Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-12-04T08:11:25.0660127Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-12-04T08:11:25.0661142Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-12-04T08:11:25.0662463Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-12-04T08:11:25.0663354Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-12-04T08:11:25.0664104Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-12-04T08:11:25.0664986Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-12-04T08:11:25.0665995Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-12-04T08:11:25.0666996Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-12-04T08:11:25.0667763Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-12-04T08:11:25.0668754Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-12-04T08:11:25.0669568Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-12-04T08:11:25.0670562Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-12-04T08:11:25.0671972Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-12-04T08:11:25.0672775Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-12-04T08:11:25.0673657Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-12-04T08:11:25.0674646Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-12-04T08:11:25.0675482Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-12-04T08:11:25.0676488Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-12-04T08:11:25.0677294Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-12-04T08:11:25.0678284Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-12-04T08:11:25.0680664Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-12-04T08:11:25.0681871Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-12-04T08:11:25.0682841Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-12-04T08:11:25.0683839Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-12-04T08:11:25.0684853Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-12-04T08:11:25.0685568Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-12-04T08:11:25.0686574Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-12-04T08:11:25.0687415Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-12-04T08:11:25.0688418Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-12-04T08:11:25.0689257Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-12-04T08:11:25.0690323Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-12-04T08:11:25.0691085Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-12-04T08:11:25.0692105Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-12-04T08:11:25.0693099Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-12-04T08:11:25.0693891Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-12-04T08:11:25.0694872Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-12-04T08:11:25.0695696Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-12-04T08:11:25.0696561Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-12-04T08:11:25.0697535Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-12-04T08:11:25.0698340Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-12-04T08:11:25.0699326Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-12-04T08:11:25.0700176Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-12-04T08:11:25.0701164Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-12-04T08:11:25.0702137Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-12-04T08:11:25.0703041Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-12-04T08:11:25.0704026Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-12-04T08:11:25.0704848Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-12-04T08:11:25.0705795Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-12-04T08:11:25.0706655Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-12-04T08:11:25.0707749Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-12-04T08:11:25.0708643Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-12-04T08:11:25.0709642Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-12-04T08:11:25.0710724Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-12-04T08:11:25.0711861Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-12-04T08:11:25.0712734Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-12-04T08:11:25.0713794Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-12-04T08:11:25.0714580Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-12-04T08:11:25.0715591Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-12-04T08:11:25.0716398Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-12-04T08:11:25.0717428Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-12-04T08:11:25.0718272Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-12-04T08:11:25.0719234Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-12-04T08:11:25.0720592Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-12-04T08:11:25.0721624Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-12-04T08:11:25.0722439Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-12-04T08:11:25.0723426Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-12-04T08:11:25.0724304Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-12-04T08:11:25.0725104Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-12-04T08:11:25.0725985Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-12-04T08:11:25.0727025Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-12-04T08:11:25.0727838Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-12-04T08:11:25.0728861Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-12-04T08:11:25.0729666Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-12-04T08:11:25.0730692Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-12-04T08:11:25.0731525Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-12-04T08:11:25.0732684Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-12-04T08:11:25.0733971Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-12-04T08:11:25.0734787Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-12-04T08:11:25.0735821Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-12-04T08:11:25.0736691Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-12-04T08:11:25.0737656Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-12-04T08:11:25.0738511Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-12-04T08:11:25.0739716Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-12-04T08:11:25.0740700Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-12-04T08:11:25.0741523Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-12-04T08:11:25.0742559Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-12-04T08:11:25.0743625Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-12-04T08:11:25.0744445Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-12-04T08:11:25.0745350Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-12-04T08:11:25.0746346Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-12-04T08:11:25.0747289Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-12-04T08:11:25.0748281Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-12-04T08:11:25.0749085Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-12-04T08:11:25.0750105Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-12-04T08:11:25.0751113Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-12-04T08:11:25.0752128Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-12-04T08:11:25.0752888Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-12-04T08:11:25.0753951Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-12-04T08:11:25.0754790Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-12-04T08:11:25.0755802Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-12-04T08:11:25.0756616Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-12-04T08:11:25.0757722Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-12-04T08:11:25.0758769Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-12-04T08:11:25.0759550Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-12-04T08:11:25.0760570Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-12-04T08:11:25.0761379Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-12-04T08:11:25.0762512Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-12-04T08:11:25.0763443Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-12-04T08:11:25.0764406Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-12-04T08:11:25.0765415Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-12-04T08:11:25.0766461Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-12-04T08:11:25.0767429Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-12-04T08:11:25.0768433Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-12-04T08:11:25.0769597Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-12-04T08:11:25.0770544Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-12-04T08:11:25.0771548Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-12-04T08:11:25.0772636Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-12-04T08:11:25.0774041Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-12-04T08:11:25.0774936Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-12-04T08:11:25.0775960Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-12-04T08:11:25.0776801Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-12-04T08:11:25.0777881Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-12-04T08:11:25.0778612Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-12-04T08:11:25.0779718Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-12-04T08:11:25.0781117Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-12-04T08:11:25.0784040Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-12-04T08:11:25.0784254Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-12-04T08:11:25.0784457Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-12-04T08:11:25.0785009Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-12-04T08:11:25.0786013Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-12-04T08:11:25.0786817Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-12-04T08:11:25.0787599Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-12-04T08:11:25.0788620Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-12-04T08:11:25.0789593Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-12-04T08:11:25.0790549Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-12-04T08:11:25.0791551Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-12-04T08:11:25.0792573Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-12-04T08:11:25.0793391Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-12-04T08:11:25.0794521Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-12-04T08:11:25.0795323Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-12-04T08:11:25.0796750Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-12-04T08:11:25.0797735Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-12-04T08:11:25.0798759Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-12-04T08:11:25.0799623Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-12-04T08:11:25.0800483Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-12-04T08:11:25.0801227Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-12-04T08:11:25.0802239Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-12-04T08:11:25.0803113Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-12-04T08:11:25.0804064Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-12-04T08:11:25.0805182Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-12-04T08:11:25.0806056Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-12-04T08:11:25.0807145Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-12-04T08:11:25.0808005Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-12-04T08:11:25.0809059Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-12-04T08:11:25.0809941Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-12-04T08:11:25.0810995Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-12-04T08:11:25.0812025Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-12-04T08:11:25.0813021Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-12-04T08:11:25.0814153Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-12-04T08:11:25.0815019Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-12-04T08:11:25.0816059Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-12-04T08:11:25.0817057Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-12-04T08:11:25.0818090Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-12-04T08:11:25.0819054Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-12-04T08:11:25.0820069Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-12-04T08:11:25.0820867Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-12-04T08:11:25.0821863Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-12-04T08:11:25.0822908Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-12-04T08:11:25.0823872Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-12-04T08:11:25.0824860Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-12-04T08:11:25.0826270Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-12-04T08:11:25.0827258Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-12-04T08:11:25.0828217Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-12-04T08:11:25.0829087Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-12-04T08:11:25.0830295Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-12-04T08:11:25.0831288Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-12-04T08:11:25.0832152Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-12-04T08:11:25.0833174Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-12-04T08:11:25.0834163Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-12-04T08:11:25.0835109Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-12-04T08:11:25.0836034Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-12-04T08:11:25.0837426Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-12-04T08:11:25.0838661Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-12-04T08:11:25.0839796Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-12-04T08:11:25.0840562Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-12-04T08:11:25.0841824Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-12-04T08:11:25.0842693Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-12-04T08:11:25.0843674Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-12-04T08:11:25.0844682Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-12-04T08:11:25.0845702Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-12-04T08:11:25.0846663Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-12-04T08:11:25.0847622Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-12-04T08:11:25.0848573Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-12-04T08:11:25.0849645Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-12-04T08:11:25.0850596Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-12-04T08:11:25.0851558Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-12-04T08:11:25.0852497Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-12-04T08:11:25.0853519Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-12-04T08:11:25.0854536Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-12-04T08:11:25.0855544Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-12-04T08:11:25.0856510Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-12-04T08:11:25.0857488Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-12-04T08:11:25.0858436Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-12-04T08:11:25.0859358Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-12-04T08:11:25.0860790Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-12-04T08:11:25.0861777Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-12-04T08:11:25.0864288Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-12-04T08:11:25.0864516Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-12-04T08:11:25.0866095Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-12-04T08:11:25.0866470Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-12-04T08:11:25.0867381Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-12-04T08:11:25.0868338Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-12-04T08:11:25.0869345Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-12-04T08:11:25.0870553Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-12-04T08:11:25.0871509Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-12-04T08:11:25.0872501Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-12-04T08:11:25.0873502Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-12-04T08:11:25.0874493Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-12-04T08:11:25.0875452Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-12-04T08:11:25.0876438Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-12-04T08:11:25.0877378Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-12-04T08:11:25.0878215Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-12-04T08:11:25.0879539Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-12-04T08:11:25.0880482Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-12-04T08:11:25.0881621Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-12-04T08:11:25.0882604Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-12-04T08:11:25.0883568Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-12-04T08:11:25.0884530Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-12-04T08:11:25.0885497Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-12-04T08:11:25.0886450Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-12-04T08:11:25.0887403Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-12-04T08:11:25.0888411Z  * [new tag]                 viable/strict/1762194412    -> viable/strict/1762194412
2025-12-04T08:11:25.0889386Z  * [new tag]                 viable/strict/1762195876    -> viable/strict/1762195876
2025-12-04T08:11:25.0890410Z  * [new tag]                 viable/strict/1762197788    -> viable/strict/1762197788
2025-12-04T08:11:25.0891404Z  * [new tag]                 viable/strict/1762199389    -> viable/strict/1762199389
2025-12-04T08:11:25.0892556Z  * [new tag]                 viable/strict/1762206585    -> viable/strict/1762206585
2025-12-04T08:11:25.0893622Z  * [new tag]                 viable/strict/1762210184    -> viable/strict/1762210184
2025-12-04T08:11:25.0894426Z  * [new tag]                 viable/strict/1762218736    -> viable/strict/1762218736
2025-12-04T08:11:25.0895505Z  * [new tag]                 viable/strict/1762224529    -> viable/strict/1762224529
2025-12-04T08:11:25.0896539Z  * [new tag]                 viable/strict/1762227253    -> viable/strict/1762227253
2025-12-04T08:11:25.0897321Z  * [new tag]                 viable/strict/1762228515    -> viable/strict/1762228515
2025-12-04T08:11:25.0898462Z  * [new tag]                 viable/strict/1762230349    -> viable/strict/1762230349
2025-12-04T08:11:25.0899424Z  * [new tag]                 viable/strict/1762231859    -> viable/strict/1762231859
2025-12-04T08:11:25.0900388Z  * [new tag]                 viable/strict/1762233925    -> viable/strict/1762233925
2025-12-04T08:11:25.0901504Z  * [new tag]                 viable/strict/1762237630    -> viable/strict/1762237630
2025-12-04T08:11:25.0902467Z  * [new tag]                 viable/strict/1762253522    -> viable/strict/1762253522
2025-12-04T08:11:25.0903574Z  * [new tag]                 viable/strict/1762278588    -> viable/strict/1762278588
2025-12-04T08:11:25.0904413Z  * [new tag]                 viable/strict/1762284203    -> viable/strict/1762284203
2025-12-04T08:11:25.0905430Z  * [new tag]                 viable/strict/1762289446    -> viable/strict/1762289446
2025-12-04T08:11:25.0906451Z  * [new tag]                 viable/strict/1762291515    -> viable/strict/1762291515
2025-12-04T08:11:25.0907536Z  * [new tag]                 viable/strict/1762295100    -> viable/strict/1762295100
2025-12-04T08:11:25.0908338Z  * [new tag]                 viable/strict/1762296590    -> viable/strict/1762296590
2025-12-04T08:11:25.0909153Z  * [new tag]                 viable/strict/1762300179    -> viable/strict/1762300179
2025-12-04T08:11:25.0910065Z  * [new tag]                 viable/strict/1762303207    -> viable/strict/1762303207
2025-12-04T08:11:25.0911156Z  * [new tag]                 viable/strict/1762386584    -> viable/strict/1762386584
2025-12-04T08:11:25.0912121Z  * [new tag]                 viable/strict/1762391537    -> viable/strict/1762391537
2025-12-04T08:11:25.0912925Z  * [new tag]                 viable/strict/1762394119    -> viable/strict/1762394119
2025-12-04T08:11:25.0914251Z  * [new tag]                 viable/strict/1762397437    -> viable/strict/1762397437
2025-12-04T08:11:25.0915228Z  * [new tag]                 viable/strict/1762400256    -> viable/strict/1762400256
2025-12-04T08:11:25.0916176Z  * [new tag]                 viable/strict/1762401469    -> viable/strict/1762401469
2025-12-04T08:11:25.0917164Z  * [new tag]                 viable/strict/1762408195    -> viable/strict/1762408195
2025-12-04T08:11:25.0918208Z  * [new tag]                 viable/strict/1762410411    -> viable/strict/1762410411
2025-12-04T08:11:25.0919164Z  * [new tag]                 viable/strict/1762417613    -> viable/strict/1762417613
2025-12-04T08:11:25.0920159Z  * [new tag]                 viable/strict/1762419198    -> viable/strict/1762419198
2025-12-04T08:11:25.0921136Z  * [new tag]                 viable/strict/1762422656    -> viable/strict/1762422656
2025-12-04T08:11:25.0922482Z  * [new tag]                 viable/strict/1762424746    -> viable/strict/1762424746
2025-12-04T08:11:25.0923521Z  * [new tag]                 viable/strict/1762446386    -> viable/strict/1762446386
2025-12-04T08:11:25.0924538Z  * [new tag]                 viable/strict/1762449912    -> viable/strict/1762449912
2025-12-04T08:11:25.0925913Z  * [new tag]                 viable/strict/1762457031    -> viable/strict/1762457031
2025-12-04T08:11:25.0926895Z  * [new tag]                 viable/strict/1762462441    -> viable/strict/1762462441
2025-12-04T08:11:25.0927916Z  * [new tag]                 viable/strict/1762467909    -> viable/strict/1762467909
2025-12-04T08:11:25.0928937Z  * [new tag]                 viable/strict/1762471493    -> viable/strict/1762471493
2025-12-04T08:11:25.0929974Z  * [new tag]                 viable/strict/1762475990    -> viable/strict/1762475990
2025-12-04T08:11:25.0930994Z  * [new tag]                 viable/strict/1762477933    -> viable/strict/1762477933
2025-12-04T08:11:25.0931973Z  * [new tag]                 viable/strict/1762491053    -> viable/strict/1762491053
2025-12-04T08:11:25.0932983Z  * [new tag]                 viable/strict/1762493118    -> viable/strict/1762493118
2025-12-04T08:11:25.0933955Z  * [new tag]                 viable/strict/1762498442    -> viable/strict/1762498442
2025-12-04T08:11:25.0935026Z  * [new tag]                 viable/strict/1762501778    -> viable/strict/1762501778
2025-12-04T08:11:25.0936001Z  * [new tag]                 viable/strict/1762504001    -> viable/strict/1762504001
2025-12-04T08:11:25.0937096Z  * [new tag]                 viable/strict/1762505583    -> viable/strict/1762505583
2025-12-04T08:11:25.0938334Z  * [new tag]                 viable/strict/1762507523    -> viable/strict/1762507523
2025-12-04T08:11:25.0939360Z  * [new tag]                 viable/strict/1762511140    -> viable/strict/1762511140
2025-12-04T08:11:25.0940572Z  * [new tag]                 viable/strict/1762512632    -> viable/strict/1762512632
2025-12-04T08:11:25.0941406Z  * [new tag]                 viable/strict/1762520467    -> viable/strict/1762520467
2025-12-04T08:11:25.0942469Z  * [new tag]                 viable/strict/1762522016    -> viable/strict/1762522016
2025-12-04T08:11:25.0943417Z  * [new tag]                 viable/strict/1762530591    -> viable/strict/1762530591
2025-12-04T08:11:25.0944391Z  * [new tag]                 viable/strict/1762543405    -> viable/strict/1762543405
2025-12-04T08:11:25.0945201Z  * [new tag]                 viable/strict/1762544998    -> viable/strict/1762544998
2025-12-04T08:11:25.0946208Z  * [new tag]                 viable/strict/1762552182    -> viable/strict/1762552182
2025-12-04T08:11:25.0947167Z  * [new tag]                 viable/strict/1762554297    -> viable/strict/1762554297
2025-12-04T08:11:25.0947952Z  * [new tag]                 viable/strict/1762559381    -> viable/strict/1762559381
2025-12-04T08:11:25.0949027Z  * [new tag]                 viable/strict/1762562222    -> viable/strict/1762562222
2025-12-04T08:11:25.0950101Z  * [new tag]                 viable/strict/1762564319    -> viable/strict/1762564319
2025-12-04T08:11:25.0950930Z  * [new tag]                 viable/strict/1762566904    -> viable/strict/1762566904
2025-12-04T08:11:25.0951999Z  * [new tag]                 viable/strict/1762569781    -> viable/strict/1762569781
2025-12-04T08:11:25.0952965Z  * [new tag]                 viable/strict/1762575940    -> viable/strict/1762575940
2025-12-04T08:11:25.0953963Z  * [new tag]                 viable/strict/1762580974    -> viable/strict/1762580974
2025-12-04T08:11:25.0954926Z  * [new tag]                 viable/strict/1762583185    -> viable/strict/1762583185
2025-12-04T08:11:25.0955894Z  * [new tag]                 viable/strict/1762586647    -> viable/strict/1762586647
2025-12-04T08:11:25.0956931Z  * [new tag]                 viable/strict/1762588183    -> viable/strict/1762588183
2025-12-04T08:11:25.0957916Z  * [new tag]                 viable/strict/1762593886    -> viable/strict/1762593886
2025-12-04T08:11:25.0958922Z  * [new tag]                 viable/strict/1762650743    -> viable/strict/1762650743
2025-12-04T08:11:25.0959943Z  * [new tag]                 viable/strict/1762653328    -> viable/strict/1762653328
2025-12-04T08:11:25.0960905Z  * [new tag]                 viable/strict/1762659342    -> viable/strict/1762659342
2025-12-04T08:11:25.0961933Z  * [new tag]                 viable/strict/1762662360    -> viable/strict/1762662360
2025-12-04T08:11:25.0962883Z  * [new tag]                 viable/strict/1762667377    -> viable/strict/1762667377
2025-12-04T08:11:25.0963837Z  * [new tag]                 viable/strict/1762671090    -> viable/strict/1762671090
2025-12-04T08:11:25.0964791Z  * [new tag]                 viable/strict/1762680284    -> viable/strict/1762680284
2025-12-04T08:11:25.0965792Z  * [new tag]                 viable/strict/1762683900    -> viable/strict/1762683900
2025-12-04T08:11:25.0966828Z  * [new tag]                 viable/strict/1762705541    -> viable/strict/1762705541
2025-12-04T08:11:25.0967795Z  * [new tag]                 viable/strict/1762709004    -> viable/strict/1762709004
2025-12-04T08:11:25.0968844Z  * [new tag]                 viable/strict/1762746004    -> viable/strict/1762746004
2025-12-04T08:11:25.0969934Z  * [new tag]                 viable/strict/1762748799    -> viable/strict/1762748799
2025-12-04T08:11:25.0970902Z  * [new tag]                 viable/strict/1762759504    -> viable/strict/1762759504
2025-12-04T08:11:25.0971984Z  * [new tag]                 viable/strict/1762760973    -> viable/strict/1762760973
2025-12-04T08:11:25.0972961Z  * [new tag]                 viable/strict/1762775374    -> viable/strict/1762775374
2025-12-04T08:11:25.0973926Z  * [new tag]                 viable/strict/1762777661    -> viable/strict/1762777661
2025-12-04T08:11:25.0974895Z  * [new tag]                 viable/strict/1762779774    -> viable/strict/1762779774
2025-12-04T08:11:25.0976092Z  * [new tag]                 viable/strict/1762781259    -> viable/strict/1762781259
2025-12-04T08:11:25.0977082Z  * [new tag]                 viable/strict/1762793628    -> viable/strict/1762793628
2025-12-04T08:11:25.0978079Z  * [new tag]                 viable/strict/1762800711    -> viable/strict/1762800711
2025-12-04T08:11:25.0979062Z  * [new tag]                 viable/strict/1762809894    -> viable/strict/1762809894
2025-12-04T08:11:25.0980030Z  * [new tag]                 viable/strict/1762811384    -> viable/strict/1762811384
2025-12-04T08:11:25.0981390Z  * [new tag]                 viable/strict/1762813841    -> viable/strict/1762813841
2025-12-04T08:11:25.0982386Z  * [new tag]                 viable/strict/1762815047    -> viable/strict/1762815047
2025-12-04T08:11:25.0983513Z  * [new tag]                 viable/strict/1762817094    -> viable/strict/1762817094
2025-12-04T08:11:25.0984532Z  * [new tag]                 viable/strict/1762818582    -> viable/strict/1762818582
2025-12-04T08:11:25.0985553Z  * [new tag]                 viable/strict/1762821623    -> viable/strict/1762821623
2025-12-04T08:11:25.0986347Z  * [new tag]                 viable/strict/1762823531    -> viable/strict/1762823531
2025-12-04T08:11:25.0987421Z  * [new tag]                 viable/strict/1762849583    -> viable/strict/1762849583
2025-12-04T08:11:25.0988440Z  * [new tag]                 viable/strict/1762851200    -> viable/strict/1762851200
2025-12-04T08:11:25.0989439Z  * [new tag]                 viable/strict/1762854603    -> viable/strict/1762854603
2025-12-04T08:11:25.0991043Z  * [new tag]                 viable/strict/1762858276    -> viable/strict/1762858276
2025-12-04T08:11:25.0992060Z  * [new tag]                 viable/strict/1762860891    -> viable/strict/1762860891
2025-12-04T08:11:25.0993607Z  * [new tag]                 viable/strict/1762866174    -> viable/strict/1762866174
2025-12-04T08:11:25.0994587Z  * [new tag]                 viable/strict/1762867653    -> viable/strict/1762867653
2025-12-04T08:11:25.0995561Z  * [new tag]                 viable/strict/1762872669    -> viable/strict/1762872669
2025-12-04T08:11:25.0996361Z  * [new tag]                 viable/strict/1762878380    -> viable/strict/1762878380
2025-12-04T08:11:25.0997399Z  * [new tag]                 viable/strict/1762889003    -> viable/strict/1762889003
2025-12-04T08:11:25.0998433Z  * [new tag]                 viable/strict/1762890589    -> viable/strict/1762890589
2025-12-04T08:11:25.0999446Z  * [new tag]                 viable/strict/1762892743    -> viable/strict/1762892743
2025-12-04T08:11:25.1000564Z  * [new tag]                 viable/strict/1762894271    -> viable/strict/1762894271
2025-12-04T08:11:25.1001367Z  * [new tag]                 viable/strict/1762896287    -> viable/strict/1762896287
2025-12-04T08:11:25.1002428Z  * [new tag]                 viable/strict/1762915871    -> viable/strict/1762915871
2025-12-04T08:11:25.1003415Z  * [new tag]                 viable/strict/1762918569    -> viable/strict/1762918569
2025-12-04T08:11:25.1004236Z  * [new tag]                 viable/strict/1762919776    -> viable/strict/1762919776
2025-12-04T08:11:25.1005289Z  * [new tag]                 viable/strict/1762923072    -> viable/strict/1762923072
2025-12-04T08:11:25.1006310Z  * [new tag]                 viable/strict/1762928826    -> viable/strict/1762928826
2025-12-04T08:11:25.1007421Z  * [new tag]                 viable/strict/1762930451    -> viable/strict/1762930451
2025-12-04T08:11:25.1008383Z  * [new tag]                 viable/strict/1762933780    -> viable/strict/1762933780
2025-12-04T08:11:25.1009442Z  * [new tag]                 viable/strict/1762937638    -> viable/strict/1762937638
2025-12-04T08:11:25.1010586Z  * [new tag]                 viable/strict/1762939545    -> viable/strict/1762939545
2025-12-04T08:11:25.1011536Z  * [new tag]                 viable/strict/1762962692    -> viable/strict/1762962692
2025-12-04T08:11:25.1012559Z  * [new tag]                 viable/strict/1762979143    -> viable/strict/1762979143
2025-12-04T08:11:25.1013603Z  * [new tag]                 viable/strict/1762984188    -> viable/strict/1762984188
2025-12-04T08:11:25.1014375Z  * [new tag]                 viable/strict/1762986306    -> viable/strict/1762986306
2025-12-04T08:11:25.1015412Z  * [new tag]                 viable/strict/1762989903    -> viable/strict/1762989903
2025-12-04T08:11:25.1016398Z  * [new tag]                 viable/strict/1762991377    -> viable/strict/1762991377
2025-12-04T08:11:25.1017358Z  * [new tag]                 viable/strict/1762998921    -> viable/strict/1762998921
2025-12-04T08:11:25.1018523Z  * [new tag]                 viable/strict/1763002287    -> viable/strict/1763002287
2025-12-04T08:11:25.1019534Z  * [new tag]                 viable/strict/1763016840    -> viable/strict/1763016840
2025-12-04T08:11:25.1020507Z  * [new tag]                 viable/strict/1763020180    -> viable/strict/1763020180
2025-12-04T08:11:25.1021589Z  * [new tag]                 viable/strict/1763027421    -> viable/strict/1763027421
2025-12-04T08:11:25.1022583Z  * [new tag]                 viable/strict/1763031120    -> viable/strict/1763031120
2025-12-04T08:11:25.1023540Z  * [new tag]                 viable/strict/1763036861    -> viable/strict/1763036861
2025-12-04T08:11:25.1024539Z  * [new tag]                 viable/strict/1763038993    -> viable/strict/1763038993
2025-12-04T08:11:25.1025613Z  * [new tag]                 viable/strict/1763054703    -> viable/strict/1763054703
2025-12-04T08:11:25.1026448Z  * [new tag]                 viable/strict/1763067061    -> viable/strict/1763067061
2025-12-04T08:11:25.1027437Z  * [new tag]                 viable/strict/1763070847    -> viable/strict/1763070847
2025-12-04T08:11:25.1028435Z  * [new tag]                 viable/strict/1763072706    -> viable/strict/1763072706
2025-12-04T08:11:25.1029464Z  * [new tag]                 viable/strict/1763076302    -> viable/strict/1763076302
2025-12-04T08:11:25.1030505Z  * [new tag]                 viable/strict/1763080816    -> viable/strict/1763080816
2025-12-04T08:11:25.1031502Z  * [new tag]                 viable/strict/1763082732    -> viable/strict/1763082732
2025-12-04T08:11:25.1032519Z  * [new tag]                 viable/strict/1763085329    -> viable/strict/1763085329
2025-12-04T08:11:25.1033588Z  * [new tag]                 viable/strict/1763088623    -> viable/strict/1763088623
2025-12-04T08:11:25.1034678Z  * [new tag]                 viable/strict/1763091402    -> viable/strict/1763091402
2025-12-04T08:11:25.1035654Z  * [new tag]                 viable/strict/1763092602    -> viable/strict/1763092602
2025-12-04T08:11:25.1036663Z  * [new tag]                 viable/strict/1763094355    -> viable/strict/1763094355
2025-12-04T08:11:25.1037699Z  * [new tag]                 viable/strict/1763099390    -> viable/strict/1763099390
2025-12-04T08:11:25.1038692Z  * [new tag]                 viable/strict/1763101608    -> viable/strict/1763101608
2025-12-04T08:11:25.1039705Z  * [new tag]                 viable/strict/1763105102    -> viable/strict/1763105102
2025-12-04T08:11:25.1040770Z  * [new tag]                 viable/strict/1763112347    -> viable/strict/1763112347
2025-12-04T08:11:25.1041779Z  * [new tag]                 viable/strict/1763119471    -> viable/strict/1763119471
2025-12-04T08:11:25.1042604Z  * [new tag]                 viable/strict/1763126835    -> viable/strict/1763126835
2025-12-04T08:11:25.1043421Z  * [new tag]                 viable/strict/1763149779    -> viable/strict/1763149779
2025-12-04T08:11:25.1044438Z  * [new tag]                 viable/strict/1763164178    -> viable/strict/1763164178
2025-12-04T08:11:25.1045413Z  * [new tag]                 viable/strict/1763167104    -> viable/strict/1763167104
2025-12-04T08:11:25.1046352Z  * [new tag]                 viable/strict/1763169132    -> viable/strict/1763169132
2025-12-04T08:11:25.1047335Z  * [new tag]                 viable/strict/1763171708    -> viable/strict/1763171708
2025-12-04T08:11:25.1048289Z  * [new tag]                 viable/strict/1763174759    -> viable/strict/1763174759
2025-12-04T08:11:25.1049397Z  * [new tag]                 viable/strict/1763180744    -> viable/strict/1763180744
2025-12-04T08:11:25.1050361Z  * [new tag]                 viable/strict/1763182227    -> viable/strict/1763182227
2025-12-04T08:11:25.1051320Z  * [new tag]                 viable/strict/1763184309    -> viable/strict/1763184309
2025-12-04T08:11:25.1052793Z  * [new tag]                 viable/strict/1763187991    -> viable/strict/1763187991
2025-12-04T08:11:25.1053786Z  * [new tag]                 viable/strict/1763191445    -> viable/strict/1763191445
2025-12-04T08:11:25.1054898Z  * [new tag]                 viable/strict/1763195152    -> viable/strict/1763195152
2025-12-04T08:11:25.1056146Z  * [new tag]                 viable/strict/1763205769    -> viable/strict/1763205769
2025-12-04T08:11:25.1057152Z  * [new tag]                 viable/strict/1763246990    -> viable/strict/1763246990
2025-12-04T08:11:25.1058356Z  * [new tag]                 viable/strict/1763261578    -> viable/strict/1763261578
2025-12-04T08:11:25.1059285Z  * [new tag]                 viable/strict/1763286573    -> viable/strict/1763286573
2025-12-04T08:11:25.1060092Z  * [new tag]                 viable/strict/1763292167    -> viable/strict/1763292167
2025-12-04T08:11:25.1061104Z  * [new tag]                 viable/strict/1763333386    -> viable/strict/1763333386
2025-12-04T08:11:25.1062144Z  * [new tag]                 viable/strict/1763340082    -> viable/strict/1763340082
2025-12-04T08:11:25.1063814Z  * [new tag]                 viable/strict/1763364324    -> viable/strict/1763364324
2025-12-04T08:11:25.1064798Z  * [new tag]                 viable/strict/1763371569    -> viable/strict/1763371569
2025-12-04T08:11:25.1065877Z  * [new tag]                 viable/strict/1763373067    -> viable/strict/1763373067
2025-12-04T08:11:25.1066848Z  * [new tag]                 viable/strict/1763375157    -> viable/strict/1763375157
2025-12-04T08:11:25.1067880Z  * [new tag]                 viable/strict/1763382462    -> viable/strict/1763382462
2025-12-04T08:11:25.1068874Z  * [new tag]                 viable/strict/1763394661    -> viable/strict/1763394661
2025-12-04T08:11:25.1070123Z  * [new tag]                 viable/strict/1763396797    -> viable/strict/1763396797
2025-12-04T08:11:25.1071198Z  * [new tag]                 viable/strict/1763398542    -> viable/strict/1763398542
2025-12-04T08:11:25.1072187Z  * [new tag]                 viable/strict/1763401807    -> viable/strict/1763401807
2025-12-04T08:11:25.1073016Z  * [new tag]                 viable/strict/1763414698    -> viable/strict/1763414698
2025-12-04T08:11:25.1074050Z  * [new tag]                 viable/strict/1763419807    -> viable/strict/1763419807
2025-12-04T08:11:25.1075122Z  * [new tag]                 viable/strict/1763426369    -> viable/strict/1763426369
2025-12-04T08:11:25.1076130Z  * [new tag]                 viable/strict/1763428331    -> viable/strict/1763428331
2025-12-04T08:11:25.1077174Z  * [new tag]                 viable/strict/1763430922    -> viable/strict/1763430922
2025-12-04T08:11:25.1077997Z  * [new tag]                 viable/strict/1763434184    -> viable/strict/1763434184
2025-12-04T08:11:25.1079083Z  * [new tag]                 viable/strict/1763439973    -> viable/strict/1763439973
2025-12-04T08:11:25.1080081Z  * [new tag]                 viable/strict/1763444995    -> viable/strict/1763444995
2025-12-04T08:11:25.1081304Z  * [new tag]                 viable/strict/1763447206    -> viable/strict/1763447206
2025-12-04T08:11:25.1082394Z  * [new tag]                 viable/strict/1763448826    -> viable/strict/1763448826
2025-12-04T08:11:25.1083403Z  * [new tag]                 viable/strict/1763450717    -> viable/strict/1763450717
2025-12-04T08:11:25.1084388Z  * [new tag]                 viable/strict/1763452183    -> viable/strict/1763452183
2025-12-04T08:11:25.1085428Z  * [new tag]                 viable/strict/1763457945    -> viable/strict/1763457945
2025-12-04T08:11:25.1086481Z  * [new tag]                 viable/strict/1763459439    -> viable/strict/1763459439
2025-12-04T08:11:25.1087452Z  * [new tag]                 viable/strict/1763461556    -> viable/strict/1763461556
2025-12-04T08:11:25.1088231Z  * [new tag]                 viable/strict/1763463103    -> viable/strict/1763463103
2025-12-04T08:11:25.1089332Z  * [new tag]                 viable/strict/1763465100    -> viable/strict/1763465100
2025-12-04T08:11:25.1090108Z  * [new tag]                 viable/strict/1763468866    -> viable/strict/1763468866
2025-12-04T08:11:25.1091203Z  * [new tag]                 viable/strict/1763493823    -> viable/strict/1763493823
2025-12-04T08:11:25.1091841Z  * [new tag]                 viable/strict/1763496249    -> viable/strict/1763496249
2025-12-04T08:11:25.1092881Z  * [new tag]                 viable/strict/1763502620    -> viable/strict/1763502620
2025-12-04T08:11:25.1093920Z  * [new tag]                 viable/strict/1763504715    -> viable/strict/1763504715
2025-12-04T08:11:25.1094955Z  * [new tag]                 viable/strict/1763506208    -> viable/strict/1763506208
2025-12-04T08:11:25.1095977Z  * [new tag]                 viable/strict/1763520590    -> viable/strict/1763520590
2025-12-04T08:11:25.1096964Z  * [new tag]                 viable/strict/1763523357    -> viable/strict/1763523357
2025-12-04T08:11:25.1098074Z  * [new tag]                 viable/strict/1763529922    -> viable/strict/1763529922
2025-12-04T08:11:25.1099170Z  * [new tag]                 viable/strict/1763531408    -> viable/strict/1763531408
2025-12-04T08:11:25.1100195Z  * [new tag]                 viable/strict/1763533622    -> viable/strict/1763533622
2025-12-04T08:11:25.1101175Z  * [new tag]                 viable/strict/1763538576    -> viable/strict/1763538576
2025-12-04T08:11:25.1102231Z  * [new tag]                 viable/strict/1763545823    -> viable/strict/1763545823
2025-12-04T08:11:25.1102993Z  * [new tag]                 viable/strict/1763547951    -> viable/strict/1763547951
2025-12-04T08:11:25.1104103Z  * [new tag]                 viable/strict/1763551477    -> viable/strict/1763551477
2025-12-04T08:11:25.1105166Z  * [new tag]                 viable/strict/1763552982    -> viable/strict/1763552982
2025-12-04T08:11:25.1106112Z  * [new tag]                 viable/strict/1763594698    -> viable/strict/1763594698
2025-12-04T08:11:25.1107155Z  * [new tag]                 viable/strict/1763596178    -> viable/strict/1763596178
2025-12-04T08:11:25.1108139Z  * [new tag]                 viable/strict/1763599155    -> viable/strict/1763599155
2025-12-04T08:11:25.1109159Z  * [new tag]                 viable/strict/1763603717    -> viable/strict/1763603717
2025-12-04T08:11:25.1110262Z  * [new tag]                 viable/strict/1763606923    -> viable/strict/1763606923
2025-12-04T08:11:25.1111304Z  * [new tag]                 viable/strict/1763609715    -> viable/strict/1763609715
2025-12-04T08:11:25.1112315Z  * [new tag]                 viable/strict/1763612757    -> viable/strict/1763612757
2025-12-04T08:11:25.1113295Z  * [new tag]                 viable/strict/1763616325    -> viable/strict/1763616325
2025-12-04T08:11:25.1114320Z  * [new tag]                 viable/strict/1763623509    -> viable/strict/1763623509
2025-12-04T08:11:25.1115419Z  * [new tag]                 viable/strict/1763624984    -> viable/strict/1763624984
2025-12-04T08:11:25.1116438Z  * [new tag]                 viable/strict/1763628796    -> viable/strict/1763628796
2025-12-04T08:11:25.1117420Z  * [new tag]                 viable/strict/1763634343    -> viable/strict/1763634343
2025-12-04T08:11:25.1118439Z  * [new tag]                 viable/strict/1763635867    -> viable/strict/1763635867
2025-12-04T08:11:25.1119505Z  * [new tag]                 viable/strict/1763639382    -> viable/strict/1763639382
2025-12-04T08:11:25.1120477Z  * [new tag]                 viable/strict/1763646626    -> viable/strict/1763646626
2025-12-04T08:11:25.1121963Z  * [new tag]                 viable/strict/1763655997    -> viable/strict/1763655997
2025-12-04T08:11:25.1123065Z  * [new tag]                 viable/strict/1763659444    -> viable/strict/1763659444
2025-12-04T08:11:25.1124154Z  * [new tag]                 viable/strict/1763660992    -> viable/strict/1763660992
2025-12-04T08:11:25.1124937Z  * [new tag]                 viable/strict/1763663201    -> viable/strict/1763663201
2025-12-04T08:11:25.1125986Z  * [new tag]                 viable/strict/1763670362    -> viable/strict/1763670362
2025-12-04T08:11:25.1126812Z  * [new tag]                 viable/strict/1763675378    -> viable/strict/1763675378
2025-12-04T08:11:25.1127849Z  * [new tag]                 viable/strict/1763693343    -> viable/strict/1763693343
2025-12-04T08:11:25.1128715Z  * [new tag]                 viable/strict/1763696088    -> viable/strict/1763696088
2025-12-04T08:11:25.1129906Z  * [new tag]                 viable/strict/1763697343    -> viable/strict/1763697343
2025-12-04T08:11:25.1130979Z  * [new tag]                 viable/strict/1763699165    -> viable/strict/1763699165
2025-12-04T08:11:25.1131981Z  * [new tag]                 viable/strict/1763700660    -> viable/strict/1763700660
2025-12-04T08:11:25.1133012Z  * [new tag]                 viable/strict/1763704209    -> viable/strict/1763704209
2025-12-04T08:11:25.1133907Z  * [new tag]                 viable/strict/1763706411    -> viable/strict/1763706411
2025-12-04T08:11:25.1134943Z  * [new tag]                 viable/strict/1763708082    -> viable/strict/1763708082
2025-12-04T08:11:25.1135749Z  * [new tag]                 viable/strict/1763711381    -> viable/strict/1763711381
2025-12-04T08:11:25.1136719Z  * [new tag]                 viable/strict/1763713593    -> viable/strict/1763713593
2025-12-04T08:11:25.1137747Z  * [new tag]                 viable/strict/1763715201    -> viable/strict/1763715201
2025-12-04T08:11:25.1138730Z  * [new tag]                 viable/strict/1763733017    -> viable/strict/1763733017
2025-12-04T08:11:25.1139753Z  * [new tag]                 viable/strict/1763735108    -> viable/strict/1763735108
2025-12-04T08:11:25.1140750Z  * [new tag]                 viable/strict/1763749579    -> viable/strict/1763749579
2025-12-04T08:11:25.1141789Z  * [new tag]                 viable/strict/1763751113    -> viable/strict/1763751113
2025-12-04T08:11:25.1142616Z  * [new tag]                 viable/strict/1763753035    -> viable/strict/1763753035
2025-12-04T08:11:25.1143652Z  * [new tag]                 viable/strict/1763754578    -> viable/strict/1763754578
2025-12-04T08:11:25.1144670Z  * [new tag]                 viable/strict/1763756748    -> viable/strict/1763756748
2025-12-04T08:11:25.1145603Z  * [new tag]                 viable/strict/1763758205    -> viable/strict/1763758205
2025-12-04T08:11:25.1146411Z  * [new tag]                 viable/strict/1763764050    -> viable/strict/1763764050
2025-12-04T08:11:25.1147421Z  * [new tag]                 viable/strict/1763771887    -> viable/strict/1763771887
2025-12-04T08:11:25.1148579Z  * [new tag]                 viable/strict/1763773920    -> viable/strict/1763773920
2025-12-04T08:11:25.1149569Z  * [new tag]                 viable/strict/1763776501    -> viable/strict/1763776501
2025-12-04T08:11:25.1150616Z  * [new tag]                 viable/strict/1763779437    -> viable/strict/1763779437
2025-12-04T08:11:25.1151840Z  * [new tag]                 viable/strict/1763781038    -> viable/strict/1763781038
2025-12-04T08:11:25.1152604Z  * [new tag]                 viable/strict/1763782245    -> viable/strict/1763782245
2025-12-04T08:11:25.1153657Z  * [new tag]                 viable/strict/1763785568    -> viable/strict/1763785568
2025-12-04T08:11:25.1154593Z  * [new tag]                 viable/strict/1763787006    -> viable/strict/1763787006
2025-12-04T08:11:25.1155652Z  * [new tag]                 viable/strict/1763789103    -> viable/strict/1763789103
2025-12-04T08:11:25.1156673Z  * [new tag]                 viable/strict/1763790578    -> viable/strict/1763790578
2025-12-04T08:11:25.1157609Z  * [new tag]                 viable/strict/1763796275    -> viable/strict/1763796275
2025-12-04T08:11:25.1158951Z  * [new tag]                 viable/strict/1763801465    -> viable/strict/1763801465
2025-12-04T08:11:25.1159739Z  * [new tag]                 viable/strict/1763803522    -> viable/strict/1763803522
2025-12-04T08:11:25.1160736Z  * [new tag]                 viable/strict/1763808581    -> viable/strict/1763808581
2025-12-04T08:11:25.1161683Z  * [new tag]                 viable/strict/1763840977    -> viable/strict/1763840977
2025-12-04T08:11:25.1162738Z  * [new tag]                 viable/strict/1763846659    -> viable/strict/1763846659
2025-12-04T08:11:25.1163743Z  * [new tag]                 viable/strict/1763872065    -> viable/strict/1763872065
2025-12-04T08:11:25.1164771Z  * [new tag]                 viable/strict/1763873648    -> viable/strict/1763873648
2025-12-04T08:11:25.1165763Z  * [new tag]                 viable/strict/1763875506    -> viable/strict/1763875506
2025-12-04T08:11:25.1166524Z  * [new tag]                 viable/strict/1763889904    -> viable/strict/1763889904
2025-12-04T08:11:25.1167572Z  * [new tag]                 viable/strict/1763930999    -> viable/strict/1763930999
2025-12-04T08:11:25.1168602Z  * [new tag]                 viable/strict/1763944964    -> viable/strict/1763944964
2025-12-04T08:11:25.1169401Z  * [new tag]                 viable/strict/1763958474    -> viable/strict/1763958474
2025-12-04T08:11:25.1170417Z  * [new tag]                 viable/strict/1763967263    -> viable/strict/1763967263
2025-12-04T08:11:25.1171403Z  * [new tag]                 viable/strict/1763972803    -> viable/strict/1763972803
2025-12-04T08:11:25.1172350Z  * [new tag]                 viable/strict/1763976376    -> viable/strict/1763976376
2025-12-04T08:11:25.1173351Z  * [new tag]                 viable/strict/1763989404    -> viable/strict/1763989404
2025-12-04T08:11:25.1174169Z  * [new tag]                 viable/strict/1763990887    -> viable/strict/1763990887
2025-12-04T08:11:25.1175195Z  * [new tag]                 viable/strict/1764019919    -> viable/strict/1764019919
2025-12-04T08:11:25.1176254Z  * [new tag]                 viable/strict/1764023134    -> viable/strict/1764023134
2025-12-04T08:11:25.1177080Z  * [new tag]                 viable/strict/1764024593    -> viable/strict/1764024593
2025-12-04T08:11:25.1177958Z  * [new tag]                 viable/strict/1764026706    -> viable/strict/1764026706
2025-12-04T08:11:25.1179301Z  * [new tag]                 viable/strict/1764031139    -> viable/strict/1764031139
2025-12-04T08:11:25.1180436Z  * [new tag]                 viable/strict/1764033131    -> viable/strict/1764033131
2025-12-04T08:11:25.1185994Z  * [new tag]                 viable/strict/1764035725    -> viable/strict/1764035725
2025-12-04T08:11:25.1186945Z  * [new tag]                 viable/strict/1764624265    -> viable/strict/1764624265
2025-12-04T08:11:25.1187732Z  * [new tag]                 viable/strict/1764631514    -> viable/strict/1764631514
2025-12-04T08:11:25.1188560Z  * [new tag]                 viable/strict/1764632987    -> viable/strict/1764632987
2025-12-04T08:11:25.1189846Z  * [new tag]                 viable/strict/1764636063    -> viable/strict/1764636063
2025-12-04T08:11:25.1190812Z  * [new tag]                 viable/strict/1764643975    -> viable/strict/1764643975
2025-12-04T08:11:25.1191579Z  * [new tag]                 viable/strict/1764646859    -> viable/strict/1764646859
2025-12-04T08:11:25.1192387Z  * [new tag]                 viable/strict/1764653120    -> viable/strict/1764653120
2025-12-04T08:11:25.1193303Z  * [new tag]                 viable/strict/1764654632    -> viable/strict/1764654632
2025-12-04T08:11:25.1194043Z  * [new tag]                 viable/strict/1764656821    -> viable/strict/1764656821
2025-12-04T08:11:25.1194846Z  * [new tag]                 viable/strict/1764658557    -> viable/strict/1764658557
2025-12-04T08:11:25.1195642Z  * [new tag]                 viable/strict/1764660333    -> viable/strict/1764660333
2025-12-04T08:11:25.1196450Z  * [new tag]                 viable/strict/1764661812    -> viable/strict/1764661812
2025-12-04T08:11:25.1197506Z  * [new tag]                 viable/strict/1764664023    -> viable/strict/1764664023
2025-12-04T08:11:25.1198184Z  * [new tag]                 viable/strict/1764669150    -> viable/strict/1764669150
2025-12-04T08:11:25.1199024Z  * [new tag]                 viable/strict/1764680709    -> viable/strict/1764680709
2025-12-04T08:11:25.1199840Z  * [new tag]                 viable/strict/1764687619    -> viable/strict/1764687619
2025-12-04T08:11:25.1200782Z  * [new tag]                 viable/strict/1764696355    -> viable/strict/1764696355
2025-12-04T08:11:25.1201511Z  * [new tag]                 viable/strict/1764701767    -> viable/strict/1764701767
2025-12-04T08:11:25.1202300Z  * [new tag]                 viable/strict/1764710768    -> viable/strict/1764710768
2025-12-04T08:11:25.1203127Z  * [new tag]                 viable/strict/1764716202    -> viable/strict/1764716202
2025-12-04T08:11:25.1203934Z  * [new tag]                 viable/strict/1764793566    -> viable/strict/1764793566
2025-12-04T08:11:25.1204774Z  * [new tag]                 viable/strict/1764797093    -> viable/strict/1764797093
2025-12-04T08:11:25.1205570Z  * [new tag]                 viable/strict/1764800729    -> viable/strict/1764800729
2025-12-04T08:11:25.1206709Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-12-04T08:11:25.1207674Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-12-04T08:11:25.1208848Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-12-04T08:11:25.1966279Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object}
2025-12-04T08:11:25.1991552Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:11:25.1995753Z ##[endgroup]
2025-12-04T08:11:25.1996260Z ##[group]Determining the checkout info
2025-12-04T08:11:25.1996980Z ##[endgroup]
2025-12-04T08:11:25.2001439Z [command]/usr/bin/git sparse-checkout disable
2025-12-04T08:11:25.2033014Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-12-04T08:11:25.2066409Z ##[group]Checking out the ref
2025-12-04T08:11:25.2070310Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:11:26.2501273Z Updating files:  81% (16357/20121)
2025-12-04T08:11:26.2707268Z Updating files:  82% (16500/20121)
2025-12-04T08:11:26.2853772Z Updating files:  83% (16701/20121)
2025-12-04T08:11:26.2988047Z Updating files:  84% (16902/20121)
2025-12-04T08:11:26.3143240Z Updating files:  85% (17103/20121)
2025-12-04T08:11:26.3296244Z Updating files:  86% (17305/20121)
2025-12-04T08:11:26.3432467Z Updating files:  87% (17506/20121)
2025-12-04T08:11:26.3540458Z Updating files:  88% (17707/20121)
2025-12-04T08:11:26.3673459Z Updating files:  89% (17908/20121)
2025-12-04T08:11:26.3843118Z Updating files:  90% (18109/20121)
2025-12-04T08:11:26.3955260Z Updating files:  91% (18311/20121)
2025-12-04T08:11:26.4106462Z Updating files:  92% (18512/20121)
2025-12-04T08:11:26.4285651Z Updating files:  93% (18713/20121)
2025-12-04T08:11:26.4487457Z Updating files:  94% (18914/20121)
2025-12-04T08:11:26.4656070Z Updating files:  95% (19115/20121)
2025-12-04T08:11:26.4811332Z Updating files:  96% (19317/20121)
2025-12-04T08:11:26.4972916Z Updating files:  97% (19518/20121)
2025-12-04T08:11:26.5252210Z Updating files:  98% (19719/20121)
2025-12-04T08:11:26.5424269Z Updating files:  99% (19920/20121)
2025-12-04T08:11:26.5424785Z Updating files: 100% (20121/20121)
2025-12-04T08:11:26.5425224Z Updating files: 100% (20121/20121), done.
2025-12-04T08:11:26.5695002Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'.
2025-12-04T08:11:26.5695631Z 
2025-12-04T08:11:26.5696044Z You are in 'detached HEAD' state. You can look around, make experimental
2025-12-04T08:11:26.5697106Z changes and commit them, and you can discard any commits you make in this
2025-12-04T08:11:26.5698074Z state without impacting any branches by switching back to a branch.
2025-12-04T08:11:26.5698594Z 
2025-12-04T08:11:26.5698926Z If you want to create a new branch to retain commits you create, you may
2025-12-04T08:11:26.5699944Z do so (now or later) by using -c with the switch command. Example:
2025-12-04T08:11:26.5700411Z 
2025-12-04T08:11:26.5700597Z   git switch -c <new-branch-name>
2025-12-04T08:11:26.5700899Z 
2025-12-04T08:11:26.5701074Z Or undo this operation with:
2025-12-04T08:11:26.5701344Z 
2025-12-04T08:11:26.5701487Z   git switch -
2025-12-04T08:11:26.5701677Z 
2025-12-04T08:11:26.5702042Z Turn off this advice by setting config variable advice.detachedHead to false
2025-12-04T08:11:26.5702600Z 
2025-12-04T08:11:26.5703019Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T08:11:26.5772247Z ##[endgroup]
2025-12-04T08:11:26.5772692Z ##[group]Setting up auth for fetching submodules
2025-12-04T08:11:26.5779015Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:11:26.5827653Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-12-04T08:11:26.5853914Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-12-04T08:11:26.5876916Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-12-04T08:11:26.5900386Z ##[endgroup]
2025-12-04T08:11:26.5901167Z ##[group]Fetching submodules
2025-12-04T08:11:26.5904724Z [command]/usr/bin/git submodule sync --recursive
2025-12-04T08:11:26.6226422Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-12-04T08:11:26.6546352Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-12-04T08:11:26.6548532Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-12-04T08:11:26.6552742Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-12-04T08:11:26.6556422Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-12-04T08:11:26.6560204Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-12-04T08:11:26.6565050Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-12-04T08:11:26.6568695Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-12-04T08:11:26.6573039Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-12-04T08:11:26.6577550Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-12-04T08:11:26.6582533Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-12-04T08:11:26.6587111Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-12-04T08:11:26.6591774Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-12-04T08:11:26.6596711Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-12-04T08:11:26.6601440Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-12-04T08:11:26.6606245Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-12-04T08:11:26.6612129Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-12-04T08:11:26.6619080Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-12-04T08:11:26.6624082Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-12-04T08:11:26.6629732Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:11:26.6635000Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-12-04T08:11:26.6640656Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-12-04T08:11:26.6646062Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-12-04T08:11:26.6651787Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-12-04T08:11:26.6657534Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-12-04T08:11:26.6663525Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-12-04T08:11:26.6669548Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-12-04T08:11:26.6675721Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-12-04T08:11:26.6682147Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-12-04T08:11:26.6688907Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-12-04T08:11:26.6695172Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-12-04T08:11:26.6701797Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-12-04T08:11:26.6708432Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-12-04T08:11:26.6715589Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-12-04T08:11:26.6723863Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-12-04T08:11:26.6730958Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-12-04T08:11:26.6737845Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-12-04T08:11:26.6745092Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-12-04T08:11:26.6775015Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-12-04T08:11:26.9195450Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-12-04T08:11:26.9196352Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-12-04T08:11:26.9197071Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-12-04T08:11:26.9225847Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-12-04T08:11:39.5377907Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-12-04T08:11:39.5379379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-12-04T08:11:39.5380975Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-12-04T08:11:39.5382411Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-12-04T08:11:39.5384210Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-12-04T08:11:39.5385796Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-12-04T08:11:39.5387401Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-12-04T08:11:39.5389015Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-12-04T08:11:39.5390526Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-12-04T08:11:39.5391934Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-12-04T08:11:39.5393344Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-12-04T08:11:39.5394711Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-12-04T08:11:39.5396088Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-12-04T08:11:39.5397467Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-12-04T08:11:39.5398875Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-12-04T08:11:39.5400296Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-12-04T08:11:39.5401710Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-12-04T08:11:39.5403014Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-12-04T08:11:39.5404397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-12-04T08:11:39.5405770Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-12-04T08:11:39.5407162Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-12-04T08:11:39.5408621Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-12-04T08:11:39.5629624Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-12-04T08:12:10.0898356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-12-04T08:12:10.0900134Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-12-04T08:12:10.0901702Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-12-04T08:12:10.0903223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-12-04T08:12:10.0904682Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-12-04T08:12:10.0906139Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-12-04T08:12:10.0907670Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-12-04T08:12:10.1899724Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-12-04T08:12:11.3471563Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-12-04T08:12:13.1582455Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-12-04T08:12:13.1710532Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-12-04T08:12:13.1805405Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-12-04T08:12:13.2061961Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-12-04T08:12:13.2908176Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6'
2025-12-04T08:12:13.3479501Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-12-04T08:12:14.0885279Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-12-04T08:12:14.2771977Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-12-04T08:12:14.2793119Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:12:14.2820420Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-12-04T08:12:19.3987178Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-12-04T08:12:19.4229274Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-12-04T08:12:19.7765483Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:12:19.8278060Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-12-04T08:12:19.9251784Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc'
2025-12-04T08:12:19.9741354Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-12-04T08:12:20.6240920Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588'
2025-12-04T08:12:20.7794290Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-12-04T08:12:20.7815300Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-12-04T08:12:20.7817975Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:12:20.7820658Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:12:20.7823380Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-12-04T08:12:20.7826252Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-12-04T08:12:20.7829262Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:12:20.7832362Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-12-04T08:12:20.7861389Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-12-04T08:12:22.6252262Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-12-04T08:12:22.6254085Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-12-04T08:12:22.6255881Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-12-04T08:12:22.7253385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-12-04T08:12:26.4123903Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-12-04T08:12:26.5124799Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-12-04T08:12:30.5712213Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-12-04T08:12:30.9257940Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:12:31.0268649Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-12-04T08:12:31.6668717Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-12-04T08:12:31.7128108Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:12:31.7245370Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-12-04T08:12:31.8259666Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-12-04T08:12:31.8968188Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-12-04T08:12:31.8987385Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:12:31.8989699Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:12:31.9016778Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-12-04T08:12:36.9849739Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-12-04T08:12:37.2296417Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-12-04T08:12:37.7933471Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-12-04T08:12:37.9340237Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-12-04T08:12:37.9638951Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f'
2025-12-04T08:12:38.0040039Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-12-04T08:12:38.0301167Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-12-04T08:12:38.0754415Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:12:38.0885553Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-12-04T08:12:38.0901593Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-12-04T08:12:38.0925669Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-12-04T08:12:54.9470436Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-12-04T08:12:54.9671339Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-12-04T08:12:55.0521613Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943'
2025-12-04T08:12:55.0540584Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:12:55.0542933Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:12:55.0545686Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:12:55.0572378Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-12-04T08:12:55.9512199Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-12-04T08:12:56.9817178Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-12-04T08:12:57.0717941Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-12-04T08:12:57.0735194Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:12:57.0737648Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:12:57.0740372Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:12:57.0743250Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:12:57.0746074Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:12:57.0749182Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:12:57.0752596Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:12:57.0755766Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:12:57.0759151Z 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'
2025-12-04T08:12:57.0788107Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-12-04T08:13:00.4005801Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-12-04T08:13:00.4007030Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-12-04T08:13:00.4015157Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-12-04T08:13:00.4016557Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-12-04T08:13:00.4017818Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-12-04T08:13:00.4019028Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-12-04T08:13:00.4020276Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-12-04T08:13:00.5006044Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-12-04T08:13:06.6428272Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-12-04T08:13:06.6615126Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-12-04T08:13:06.6994836Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-12-04T08:13:06.7135653Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-12-04T08:13:06.7151002Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:13:06.7176328Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-12-04T08:13:07.0094977Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-12-04T08:13:07.0282958Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-12-04T08:13:07.0739340Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:13:07.1741719Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-12-04T08:13:07.1912137Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-12-04T08:13:07.2081878Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-12-04T08:13:07.2098722Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:13:07.2101205Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:13:07.2128354Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T08:13:10.0491127Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T08:13:10.3006672Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-12-04T08:13:10.3479146Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T08:13:10.3799025Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-12-04T08:13:10.4243218Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:13:10.4772607Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-12-04T08:13:10.5160187Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-12-04T08:13:10.6169694Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-12-04T08:13:11.0775303Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-12-04T08:13:11.0812751Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-12-04T08:13:11.0840354Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-12-04T08:13:11.9981128Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-12-04T08:13:12.0685993Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-12-04T08:13:12.0704098Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:13:12.0706829Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:13:12.0709151Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:13:12.0712087Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:13:12.0715047Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:13:12.0717934Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:13:12.0720890Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:13:12.0723880Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:13:12.0751158Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-12-04T08:13:12.5848571Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-12-04T08:13:12.5850771Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-12-04T08:13:12.5852938Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-12-04T08:13:12.5854990Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-12-04T08:13:12.6849769Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-12-04T08:13:13.6804871Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-12-04T08:13:24.1245911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-12-04T08:13:24.1893822Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-12-04T08:13:24.2298943Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-12-04T08:13:24.2468647Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-12-04T08:13:24.3500133Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-12-04T08:13:24.3636949Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-12-04T08:13:24.3788368Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-12-04T08:13:24.3944594Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-12-04T08:13:24.3960002Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:13:24.3962562Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:13:24.3988734Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T08:13:27.1669840Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T08:13:27.4159206Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-12-04T08:13:27.4626913Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T08:13:27.9408645Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-12-04T08:13:27.9526466Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-12-04T08:13:28.2237435Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-12-04T08:13:28.2259025Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:13:28.2261449Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-12-04T08:13:28.2289084Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-12-04T08:13:28.7702621Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-12-04T08:13:29.3364429Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-12-04T08:13:29.4086055Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-12-04T08:13:29.4184282Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-12-04T08:13:29.4308873Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-12-04T08:13:29.4739186Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-12-04T08:13:29.5031810Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-12-04T08:13:29.5472112Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-12-04T08:13:29.5746276Z Submodule path 'third_party/tensorpipe': checked out '2b4cd91092d335a697416b2a3cb398283246849d'
2025-12-04T08:13:29.5764681Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:13:29.5766032Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:13:29.5768403Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:13:29.5771196Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:13:29.5798166Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-12-04T08:13:31.2958112Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-12-04T08:13:31.2959119Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-12-04T08:13:31.2960078Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-12-04T08:13:31.3537540Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-12-04T08:13:31.3699831Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-12-04T08:13:31.4440417Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-12-04T08:13:31.4730715Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-12-04T08:13:31.4744433Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:13:31.4769682Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-12-04T08:13:31.6369543Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-12-04T08:13:31.6405232Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-12-04T08:13:31.6698440Z Entering 'android/libs/fbjni'
2025-12-04T08:13:31.6740163Z Entering 'third_party/FP16'
2025-12-04T08:13:31.6780914Z Entering 'third_party/FXdiv'
2025-12-04T08:13:31.6823042Z Entering 'third_party/NNPACK'
2025-12-04T08:13:31.6866109Z Entering 'third_party/NVTX'
2025-12-04T08:13:31.6910830Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:13:31.6951860Z Entering 'third_party/XNNPACK'
2025-12-04T08:13:31.7008717Z Entering 'third_party/aiter'
2025-12-04T08:13:31.7050814Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:13:31.7101864Z Entering 'third_party/benchmark'
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2025-12-04T08:13:32.0180927Z ##[endgroup]
2025-12-04T08:13:32.0181402Z ##[group]Persisting credentials for submodules
2025-12-04T08:13:32.0189253Z [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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2025-12-04T08:13:32.4532031Z Entering 'third_party/pybind11'
2025-12-04T08:13:32.4584829Z Entering 'third_party/python-peachpy'
2025-12-04T08:13:32.4638348Z Entering 'third_party/sleef'
2025-12-04T08:13:32.4693056Z Entering 'third_party/tensorpipe'
2025-12-04T08:13:32.4746507Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:13:32.4800072Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:13:32.4851850Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:13:32.4911835Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:13:32.4962849Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:13:32.5031707Z [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"
2025-12-04T08:13:32.5319039Z Entering 'android/libs/fbjni'
2025-12-04T08:13:32.5370136Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-12-04T08:13:32.5386433Z Entering 'third_party/FP16'
2025-12-04T08:13:32.5436773Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-12-04T08:13:32.5451803Z Entering 'third_party/FXdiv'
2025-12-04T08:13:32.5504096Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-12-04T08:13:32.5519277Z Entering 'third_party/NNPACK'
2025-12-04T08:13:32.5568734Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-12-04T08:13:32.5585219Z Entering 'third_party/NVTX'
2025-12-04T08:13:32.5635167Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-12-04T08:13:32.5651264Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:13:32.5701228Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-12-04T08:13:32.5716915Z Entering 'third_party/XNNPACK'
2025-12-04T08:13:32.5767927Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-12-04T08:13:32.5798862Z Entering 'third_party/aiter'
2025-12-04T08:13:32.5848794Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-12-04T08:13:32.5866102Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:13:32.5916348Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-12-04T08:13:32.5940575Z Entering 'third_party/benchmark'
2025-12-04T08:13:32.5991979Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T08:13:32.6009134Z Entering 'third_party/composable_kernel'
2025-12-04T08:13:32.6058809Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-12-04T08:13:32.6083213Z Entering 'third_party/cpp-httplib'
2025-12-04T08:13:32.6133900Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-12-04T08:13:32.6149419Z Entering 'third_party/cpuinfo'
2025-12-04T08:13:32.6200391Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-12-04T08:13:32.6216435Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:13:32.6267993Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-12-04T08:13:32.6287453Z Entering 'third_party/cutlass'
2025-12-04T08:13:32.6337495Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-12-04T08:13:32.6363360Z Entering 'third_party/fbgemm'
2025-12-04T08:13:32.6414392Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-12-04T08:13:32.6431984Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:13:32.6483211Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-12-04T08:13:32.6498075Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:13:32.6553097Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-12-04T08:13:32.6575842Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:13:32.6626442Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-12-04T08:13:32.6642113Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:13:32.6692788Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-12-04T08:13:32.6716012Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:13:32.6765929Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-12-04T08:13:32.6786380Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:13:32.6832983Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
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2025-12-04T08:13:32.6901368Z 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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2025-12-04T08:13:33.3662720Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:13:33.3702929Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:13:33.3745561Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:13:33.3789275Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:13:33.3832304Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:13:33.3874557Z Entering 'third_party/kleidiai'
2025-12-04T08:13:33.3916341Z Entering 'third_party/mimalloc'
2025-12-04T08:13:33.3956541Z Entering 'third_party/nlohmann'
2025-12-04T08:13:33.3999518Z Entering 'third_party/onnx'
2025-12-04T08:13:33.4059450Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:13:33.4103309Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:13:33.4146108Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:13:33.4186175Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:13:33.4225577Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:13:33.4265227Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:13:33.4307082Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:13:33.4347260Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:13:33.4390361Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:13:33.4429584Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:13:33.4470549Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:13:33.4511983Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:13:33.4575384Z Entering 'third_party/pocketfft'
2025-12-04T08:13:33.4616152Z Entering 'third_party/protobuf'
2025-12-04T08:13:33.4660101Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:13:33.4700268Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:13:33.4742303Z Entering 'third_party/psimd'
2025-12-04T08:13:33.4783227Z Entering 'third_party/pthreadpool'
2025-12-04T08:13:33.4824880Z Entering 'third_party/pybind11'
2025-12-04T08:13:33.4865903Z Entering 'third_party/python-peachpy'
2025-12-04T08:13:33.4907232Z Entering 'third_party/sleef'
2025-12-04T08:13:33.4948343Z Entering 'third_party/tensorpipe'
2025-12-04T08:13:33.4989022Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:13:33.5027733Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:13:33.5067145Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:13:33.5108710Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:13:33.5146621Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:13:33.5202451Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-12-04T08:13:33.5493836Z Entering 'android/libs/fbjni'
2025-12-04T08:13:33.5534826Z Entering 'third_party/FP16'
2025-12-04T08:13:33.5576444Z Entering 'third_party/FXdiv'
2025-12-04T08:13:33.5618270Z Entering 'third_party/NNPACK'
2025-12-04T08:13:33.5660239Z Entering 'third_party/NVTX'
2025-12-04T08:13:33.5703821Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:13:33.5744704Z Entering 'third_party/XNNPACK'
2025-12-04T08:13:33.5801376Z Entering 'third_party/aiter'
2025-12-04T08:13:33.5844220Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:13:33.5893249Z Entering 'third_party/benchmark'
2025-12-04T08:13:33.5935326Z Entering 'third_party/composable_kernel'
2025-12-04T08:13:33.5985367Z Entering 'third_party/cpp-httplib'
2025-12-04T08:13:33.6027007Z Entering 'third_party/cpuinfo'
2025-12-04T08:13:33.6071303Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:13:33.6113510Z Entering 'third_party/cutlass'
2025-12-04T08:13:33.6162976Z Entering 'third_party/fbgemm'
2025-12-04T08:13:33.6206933Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:13:33.6247015Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:13:33.6295405Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:13:33.6336088Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:13:33.6386608Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:13:33.6426530Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:13:33.6465726Z Entering 'third_party/fbgemm/external/json'
2025-12-04T08:13:33.6509151Z Entering 'third_party/flash-attention'
2025-12-04T08:13:33.6552173Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:13:33.6599487Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:13:33.6648639Z Entering 'third_party/flatbuffers'
2025-12-04T08:13:33.6693687Z Entering 'third_party/fmt'
2025-12-04T08:13:33.6736846Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:13:33.6778102Z Entering 'third_party/gloo'
2025-12-04T08:13:33.6820613Z Entering 'third_party/googletest'
2025-12-04T08:13:33.6862548Z Entering 'third_party/ideep'
2025-12-04T08:13:33.6903686Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T08:13:33.6950070Z Entering 'third_party/ittapi'
2025-12-04T08:13:33.6991722Z Entering 'third_party/kineto'
2025-12-04T08:13:33.7033000Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:13:33.7072142Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:13:33.7118742Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:13:33.7159129Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:13:33.7199213Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:13:33.7239319Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:13:33.7282430Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:13:33.7324155Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:13:33.7366694Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:13:33.7408806Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:13:33.7449046Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:13:33.7489440Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:13:33.7532185Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:13:33.7575957Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:13:33.7617451Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:13:33.7658994Z Entering 'third_party/kleidiai'
2025-12-04T08:13:33.7701325Z Entering 'third_party/mimalloc'
2025-12-04T08:13:33.7742311Z Entering 'third_party/nlohmann'
2025-12-04T08:13:33.7784554Z Entering 'third_party/onnx'
2025-12-04T08:13:33.7844772Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:13:33.7890520Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:13:33.7934110Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:13:33.7973386Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:13:33.8013668Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:13:33.8053025Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:13:33.8096122Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:13:33.8135941Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:13:33.8176101Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:13:33.8216109Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:13:33.8257324Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:13:33.8298442Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:13:33.8360862Z Entering 'third_party/pocketfft'
2025-12-04T08:13:33.8402543Z Entering 'third_party/protobuf'
2025-12-04T08:13:33.8446518Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:13:33.8487819Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:13:33.8529084Z Entering 'third_party/psimd'
2025-12-04T08:13:33.8570467Z Entering 'third_party/pthreadpool'
2025-12-04T08:13:33.8614403Z Entering 'third_party/pybind11'
2025-12-04T08:13:33.8655400Z Entering 'third_party/python-peachpy'
2025-12-04T08:13:33.8697271Z Entering 'third_party/sleef'
2025-12-04T08:13:33.8739102Z Entering 'third_party/tensorpipe'
2025-12-04T08:13:33.8780395Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:13:33.8820689Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:13:33.8859487Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:13:33.8902419Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:13:33.8941213Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:13:33.8993355Z ##[endgroup]
2025-12-04T08:13:33.9027524Z [command]/usr/bin/git log -1 --format=%H
2025-12-04T08:13:33.9048944Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:13:33.9149479Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-12-04T08:13:33.9149845Z cd "${GITHUB_WORKSPACE}"
2025-12-04T08:13:33.9150253Z # Clean stale submodule dirs
2025-12-04T08:13:33.9150588Z if [ -z "${NO_SUDO}" ]; then
2025-12-04T08:13:33.9150987Z   sudo git submodule foreach --recursive git clean -ffdx
2025-12-04T08:13:33.9151388Z else
2025-12-04T08:13:33.9151712Z   git submodule foreach --recursive git clean -ffdx
2025-12-04T08:13:33.9152087Z fi
2025-12-04T08:13:33.9161552Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:33.9161944Z env:
2025-12-04T08:13:33.9162170Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:33.9162424Z   NO_SUDO: true
2025-12-04T08:13:33.9162649Z ##[endgroup]
2025-12-04T08:13:33.9494265Z Entering 'android/libs/fbjni'
2025-12-04T08:13:33.9527511Z Entering 'third_party/FP16'
2025-12-04T08:13:33.9557453Z Entering 'third_party/FXdiv'
2025-12-04T08:13:33.9586817Z Entering 'third_party/NNPACK'
2025-12-04T08:13:33.9620755Z Entering 'third_party/NVTX'
2025-12-04T08:13:33.9660149Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:13:33.9694833Z Entering 'third_party/XNNPACK'
2025-12-04T08:13:33.9815637Z Entering 'third_party/aiter'
2025-12-04T08:13:33.9856826Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:13:33.9961289Z Entering 'third_party/benchmark'
2025-12-04T08:13:33.9994032Z Entering 'third_party/composable_kernel'
2025-12-04T08:13:34.0111801Z Entering 'third_party/cpp-httplib'
2025-12-04T08:13:34.0144056Z Entering 'third_party/cpuinfo'
2025-12-04T08:13:34.0179032Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:13:34.0212553Z Entering 'third_party/cutlass'
2025-12-04T08:13:34.0313016Z Entering 'third_party/fbgemm'
2025-12-04T08:13:34.0374245Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:13:34.0404010Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:13:34.0516678Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:13:34.0550415Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:13:34.0647203Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:13:34.0681370Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:13:34.0709199Z Entering 'third_party/fbgemm/external/json'
2025-12-04T08:13:34.0750999Z Entering 'third_party/flash-attention'
2025-12-04T08:13:34.0789065Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:13:34.0886386Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:13:34.0971668Z Entering 'third_party/flatbuffers'
2025-12-04T08:13:34.1038745Z Entering 'third_party/fmt'
2025-12-04T08:13:34.1077761Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:13:34.1109717Z Entering 'third_party/gloo'
2025-12-04T08:13:34.1143770Z Entering 'third_party/googletest'
2025-12-04T08:13:34.1177334Z Entering 'third_party/ideep'
2025-12-04T08:13:34.1206574Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T08:13:34.1290077Z Entering 'third_party/ittapi'
2025-12-04T08:13:34.1326656Z Entering 'third_party/kineto'
2025-12-04T08:13:34.1364055Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:13:34.1400283Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:13:34.1444860Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:13:34.1474258Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:13:34.1505613Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:13:34.1533597Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:13:34.1563986Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:13:34.1595713Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:13:34.1627613Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:13:34.1666663Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:13:34.1700441Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:13:34.1731133Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:13:34.1777643Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:13:34.1813358Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:13:34.1855436Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:13:34.1876896Z Entering 'third_party/kleidiai'
2025-12-04T08:13:34.1914686Z Entering 'third_party/mimalloc'
2025-12-04T08:13:34.1946575Z Entering 'third_party/nlohmann'
2025-12-04T08:13:34.1990133Z Entering 'third_party/onnx'
2025-12-04T08:13:34.2312095Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:13:34.2347823Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:13:34.2402811Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:13:34.2433635Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:13:34.2464930Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:13:34.2493565Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:13:34.2533029Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:13:34.2562745Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:13:34.2594141Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:13:34.2624459Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:13:34.2670476Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:13:34.2704906Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:13:34.2958734Z Entering 'third_party/pocketfft'
2025-12-04T08:13:34.2987759Z Entering 'third_party/protobuf'
2025-12-04T08:13:34.3061801Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:13:34.3095606Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:13:34.3131169Z Entering 'third_party/psimd'
2025-12-04T08:13:34.3160525Z Entering 'third_party/pthreadpool'
2025-12-04T08:13:34.3190627Z Entering 'third_party/pybind11'
2025-12-04T08:13:34.3224310Z Entering 'third_party/python-peachpy'
2025-12-04T08:13:34.3255388Z Entering 'third_party/sleef'
2025-12-04T08:13:34.3288914Z Entering 'third_party/tensorpipe'
2025-12-04T08:13:34.3321879Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:13:34.3352563Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:13:34.3384305Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:13:34.3417745Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:13:34.3447057Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:13:34.3599485Z Prepare all required actions
2025-12-04T08:13:34.3600039Z Getting action download info
2025-12-04T08:13:34.5941456Z ##[group]Run ./.github/actions/setup-linux
2025-12-04T08:13:34.5941784Z env:
2025-12-04T08:13:34.5942012Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:34.5942279Z ##[endgroup]
2025-12-04T08:13:34.5987701Z ##[group]Run set -euo pipefail
2025-12-04T08:13:34.5988291Z set -euo pipefail
2025-12-04T08:13:34.5988641Z function get_ec2_metadata() {
2025-12-04T08:13:34.5989169Z   # Pulled from instance metadata endpoint for EC2
2025-12-04T08:13:34.5989910Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-12-04T08:13:34.5990686Z   category=$1
2025-12-04T08:13:34.5991161Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-12-04T08:13:34.5991711Z   runner_name_str=i-0c1d8a0372d6a4d35
2025-12-04T08:13:34.5992293Z   if [[ -f /.inarc ]]; then
2025-12-04T08:13:34.5992698Z     echo "ARC Runner, no info on ec2 metadata"
2025-12-04T08:13:34.5993203Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-12-04T08:13:34.5993808Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-12-04T08:13:34.5994341Z   else
2025-12-04T08:13:34.5995297Z     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}"
2025-12-04T08:13:34.5996393Z   fi
2025-12-04T08:13:34.5996715Z }
2025-12-04T08:13:34.5997060Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-12-04T08:13:34.5997596Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-12-04T08:13:34.5998214Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-12-04T08:13:34.5998717Z echo "system info $(uname -a)"
2025-12-04T08:13:34.6006134Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:34.6006929Z env:
2025-12-04T08:13:34.6007470Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:34.6008132Z ##[endgroup]
2025-12-04T08:13:34.6159096Z ami-id: ami-08982f1c5bf93d976
2025-12-04T08:13:34.6255748Z instance-id: i-0c1d8a0372d6a4d35
2025-12-04T08:13:34.6349693Z instance-type: c5.2xlarge
2025-12-04T08:13:34.6360208Z system info Linux ip-10-0-11-123.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-12-04T08:13:34.6384880Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T08:13:34.6385360Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T08:13:34.6391583Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:34.6391969Z env:
2025-12-04T08:13:34.6392178Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:34.6392445Z ##[endgroup]
2025-12-04T08:13:34.6441980Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:13:34.6442927Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:13:34.6448892Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:34.6449295Z env:
2025-12-04T08:13:34.6449510Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:34.6449779Z ##[endgroup]
2025-12-04T08:13:34.6500469Z ##[group]Run if systemctl is-active --quiet docker; then
2025-12-04T08:13:34.6500917Z if systemctl is-active --quiet docker; then
2025-12-04T08:13:34.6501316Z     echo "Docker daemon is running...";
2025-12-04T08:13:34.6501654Z else
2025-12-04T08:13:34.6502005Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-12-04T08:13:34.6502442Z fi
2025-12-04T08:13:34.6507855Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:34.6508252Z env:
2025-12-04T08:13:34.6508463Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:34.6508728Z ##[endgroup]
2025-12-04T08:13:34.6584053Z Docker daemon is running...
2025-12-04T08:13:34.6628722Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T08:13:34.6629023Z with:
2025-12-04T08:13:34.6629233Z   shell: bash
2025-12-04T08:13:34.6629604Z   timeout_minutes: 5
2025-12-04T08:13:34.6629857Z   max_attempts: 3
2025-12-04T08:13:34.6630087Z   retry_wait_seconds: 30
2025-12-04T08:13:34.6632565Z   command: AWS_ACCOUNT_ID=$(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

2025-12-04T08:13:34.6634964Z   polling_interval_seconds: 1
2025-12-04T08:13:34.6635260Z   warning_on_retry: true
2025-12-04T08:13:34.6635535Z   continue_on_error: false
2025-12-04T08:13:34.6635784Z env:
2025-12-04T08:13:34.6636004Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:34.6636284Z   AWS_RETRY_MODE: standard
2025-12-04T08:13:34.6636541Z   AWS_MAX_ATTEMPTS: 5
2025-12-04T08:13:34.6636802Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:13:34.6637079Z ##[endgroup]
2025-12-04T08:13:35.8481919Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:13:35.8482554Z Configure a credential helper to remove this warning. See
2025-12-04T08:13:35.8483555Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:13:35.8483958Z 
2025-12-04T08:13:35.8484073Z Login Succeeded
2025-12-04T08:13:36.8052124Z Command completed after 1 attempt(s).
2025-12-04T08:13:36.8108434Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:13:36.8108975Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:13:36.8109447Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:13:36.8118786Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:36.8119169Z env:
2025-12-04T08:13:36.8119397Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:36.8119669Z ##[endgroup]
2025-12-04T08:13:36.8198830Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T08:13:36.8199402Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T08:13:36.8199849Z # shellcheck disable=SC2046
2025-12-04T08:13:36.8200194Z docker stop $(docker ps -q) || true
2025-12-04T08:13:36.8200558Z # Prune all of the docker images
2025-12-04T08:13:36.8200903Z docker system prune -af
2025-12-04T08:13:36.8206455Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:36.8206844Z env:
2025-12-04T08:13:36.8207054Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:36.8207324Z ##[endgroup]
2025-12-04T08:13:36.8695264Z "docker stop" requires at least 1 argument.
2025-12-04T08:13:36.8695817Z See 'docker stop --help'.
2025-12-04T08:13:36.8696020Z 
2025-12-04T08:13:36.8696185Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-12-04T08:13:36.8696478Z 
2025-12-04T08:13:36.8696591Z Stop one or more running containers
2025-12-04T08:13:36.8870953Z Total reclaimed space: 0B
2025-12-04T08:13:36.9071232Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-12-04T08:13:36.9071745Z with:
2025-12-04T08:13:36.9072505Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:36.9073365Z   use-custom-docker-registry: true
2025-12-04T08:13:36.9073685Z   docker-build-dir: .ci/docker
2025-12-04T08:13:36.9073991Z   docker-build-script: ./build.sh
2025-12-04T08:13:36.9074287Z   working-directory: .
2025-12-04T08:13:36.9074644Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:36.9075051Z   force-push: false
2025-12-04T08:13:36.9075286Z env:
2025-12-04T08:13:36.9075639Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:36.9075908Z ##[endgroup]
2025-12-04T08:13:36.9099183Z ##[group]Run set -ex
2025-12-04T08:13:36.9099477Z set -ex
2025-12-04T08:13:36.9099707Z 
2025-12-04T08:13:36.9100155Z # If the docker build directory or the build script doesn't exist, the action will
2025-12-04T08:13:36.9100846Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-12-04T08:13:36.9101443Z # job could then download the pre-built image as usual
2025-12-04T08:13:36.9102163Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-12-04T08:13:36.9102824Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-12-04T08:13:36.9103172Z else
2025-12-04T08:13:36.9103442Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:13:36.9103905Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:13:36.9104322Z 
2025-12-04T08:13:36.9104900Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-12-04T08:13:36.9105559Z   exit 0
2025-12-04T08:13:36.9105777Z fi
2025-12-04T08:13:36.9105993Z 
2025-12-04T08:13:36.9106339Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-12-04T08:13:36.9106958Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-12-04T08:13:36.9107503Z   # use it as it is, but first let's extract the tag
2025-12-04T08:13:36.9107998Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-12-04T08:13:36.9108519Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:13:36.9109026Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:13:36.9109437Z else
2025-12-04T08:13:36.9109704Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-12-04T08:13:36.9110100Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-12-04T08:13:36.9110578Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-12-04T08:13:36.9110927Z   fi
2025-12-04T08:13:36.9111397Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-12-04T08:13:36.9112030Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:13:36.9112684Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:13:36.9113411Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:13:36.9113857Z fi
2025-12-04T08:13:36.9119746Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:36.9120132Z env:
2025-12-04T08:13:36.9120368Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:36.9120635Z   REPO_NAME: pytorch
2025-12-04T08:13:36.9121565Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:36.9122422Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T08:13:36.9122721Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-12-04T08:13:36.9123102Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:36.9123518Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-12-04T08:13:36.9123821Z   CUSTOM_TAG_PREFIX: 
2025-12-04T08:13:36.9124059Z ##[endgroup]
2025-12-04T08:13:36.9147375Z + [[ -d .ci/docker ]]
2025-12-04T08:13:36.9147705Z + [[ -f .ci/docker/./build.sh ]]
2025-12-04T08:13:36.9147986Z + [[ true == \t\r\u\e ]]
2025-12-04T08:13:36.9148275Z + echo skip=false
2025-12-04T08:13:36.9149376Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-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* ]]
2025-12-04T08:13:36.9154488Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:36.9155299Z ++ awk -F '[:,]' '{print $2}'
2025-12-04T08:13:36.9175449Z + DOCKER_TAG=pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:36.9176264Z + echo docker-tag=pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:36.9178112Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:36.9204302Z ##[group]Run set +e
2025-12-04T08:13:36.9204603Z set +e
2025-12-04T08:13:36.9204825Z set -x
2025-12-04T08:13:36.9205049Z 
2025-12-04T08:13:36.9205267Z login() {
2025-12-04T08:13:36.9205755Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T08:13:36.9206288Z }
2025-12-04T08:13:36.9206499Z 
2025-12-04T08:13:36.9206706Z retry () {
2025-12-04T08:13:36.9206986Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T08:13:36.9207311Z }
2025-12-04T08:13:36.9207509Z 
2025-12-04T08:13:36.9207747Z retry login "${DOCKER_REGISTRY}"
2025-12-04T08:13:36.9208063Z 
2025-12-04T08:13:36.9208284Z START_TIME=$(date +%s)
2025-12-04T08:13:36.9208571Z # Wait up to 120 minutes
2025-12-04T08:13:36.9208944Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-12-04T08:13:36.9209447Z   # Check if image already exists, if it does then skip building it
2025-12-04T08:13:36.9209940Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-12-04T08:13:36.9210316Z     exit 0
2025-12-04T08:13:36.9210558Z   fi
2025-12-04T08:13:36.9210762Z 
2025-12-04T08:13:36.9211153Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-12-04T08:13:36.9211842Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-12-04T08:13:36.9212526Z   # latter, it will wait for the Docker images to become available before continuing
2025-12-04T08:13:36.9213046Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-12-04T08:13:36.9213456Z     # It's a Docker build job, let's build the image
2025-12-04T08:13:36.9213816Z     break
2025-12-04T08:13:36.9214054Z   else
2025-12-04T08:13:36.9214389Z     # It's a regular build job, wait for the image to become available
2025-12-04T08:13:36.9214815Z     sleep 300
2025-12-04T08:13:36.9215068Z   fi
2025-12-04T08:13:36.9215274Z done
2025-12-04T08:13:36.9215495Z 
2025-12-04T08:13:36.9215864Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-12-04T08:13:36.9216441Z # be empty.  The default action would be to continue rebuild the image
2025-12-04T08:13:36.9217101Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-12-04T08:13:36.9217575Z   # if we're on the base branch then use the parent commit
2025-12-04T08:13:36.9217980Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-12-04T08:13:36.9218306Z else
2025-12-04T08:13:36.9218643Z   # otherwise we're on a PR, so use the most recent base commit
2025-12-04T08:13:36.9219137Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-12-04T08:13:36.9219502Z fi
2025-12-04T08:13:36.9219723Z 
2025-12-04T08:13:36.9219959Z if [[ -z "${MERGE_BASE}" ]]; then
2025-12-04T08:13:36.9220315Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:13:36.9221628Z 
2025-12-04T08:13:36.9222119Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-12-04T08:13:36.9222697Z   exit 0
2025-12-04T08:13:36.9222915Z fi
2025-12-04T08:13:36.9223137Z 
2025-12-04T08:13:36.9223446Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-12-04T08:13:36.9224139Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-12-04T08:13:36.9224744Z   exit 1
2025-12-04T08:13:36.9224973Z fi
2025-12-04T08:13:36.9225177Z 
2025-12-04T08:13:36.9225551Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-12-04T08:13:36.9226228Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-12-04T08:13:36.9226836Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-12-04T08:13:36.9227529Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-12-04T08:13:36.9228326Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-12-04T08:13:36.9228795Z fi
2025-12-04T08:13:36.9229004Z 
2025-12-04T08:13:36.9229255Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:13:36.9235074Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:36.9235465Z env:
2025-12-04T08:13:36.9235675Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:36.9235964Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T08:13:36.9236323Z   BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:13:36.9237201Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:36.9238237Z   DOCKER_TAG: pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:36.9238877Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:36.9239276Z   DOCKER_PUSH: 
2025-12-04T08:13:36.9239497Z ##[endgroup]
2025-12-04T08:13:36.9262312Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:36.9262756Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:36.9264744Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:13:36.9266383Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:37.4237744Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:13:37.4238442Z Configure a credential helper to remove this warning. See
2025-12-04T08:13:37.4239223Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:13:37.4239717Z 
2025-12-04T08:13:37.4239845Z Login Succeeded
2025-12-04T08:13:37.4255023Z ++ date +%s
2025-12-04T08:13:37.4265264Z + START_TIME=1764836017
2025-12-04T08:13:37.4268636Z ++ date +%s
2025-12-04T08:13:37.4277191Z + [[ 1764828817 -lt 1764836017 ]]
2025-12-04T08:13:37.4278314Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:37.6337988Z {
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2025-12-04T08:13:37.6405072Z 		},
2025-12-04T08:13:37.6405266Z 		{
2025-12-04T08:13:37.6405532Z + exit 0
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2025-12-04T08:13:37.6510417Z 			"size": 108,
2025-12-04T08:13:37.6510846Z 			"digest": "sha256:6fff2372e67ace6de2b21466935ee78fac9e9dd0cee42b76358e95bebabd0f28"
2025-12-04T08:13:37.6511343Z 		},
2025-12-04T08:13:37.6511539Z 		{
2025-12-04T08:13:37.6511860Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:13:37.6512287Z 			"size": 54145663,
2025-12-04T08:13:37.6512733Z 			"digest": "sha256:c0c4cfd870fe00cba36ec33eb43b009ac6e0992482ec8df5b4db20c340f7b685"
2025-12-04T08:13:37.6513215Z 		},
2025-12-04T08:13:37.6513409Z 		{
2025-12-04T08:13:37.6513740Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:13:37.6514148Z 			"size": 32,
2025-12-04T08:13:37.6514563Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-12-04T08:13:37.6515051Z 		}
2025-12-04T08:13:37.6515229Z 	]
2025-12-04T08:13:37.6515416Z }
2025-12-04T08:13:37.6547236Z ##[group]Run set -eux
2025-12-04T08:13:37.6547526Z set -eux
2025-12-04T08:13:37.6547944Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-12-04T08:13:37.6549156Z 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
2025-12-04T08:13:37.6556511Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:37.6556907Z env:
2025-12-04T08:13:37.6557117Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:37.6557387Z ##[endgroup]
2025-12-04T08:13:37.6585403Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-12-04T08:13:37.6587138Z + jq --raw-output .SecretString
2025-12-04T08:13:37.6588550Z + jq -r .docker_hub_readonly_token
2025-12-04T08:13:37.6589203Z + docker login --username pytorchbot --password-stdin
2025-12-04T08:13:38.2192318Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:13:38.2192954Z Configure a credential helper to remove this warning. See
2025-12-04T08:13:38.2193938Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:13:38.2194415Z 
2025-12-04T08:13:38.2194541Z Login Succeeded
2025-12-04T08:13:38.2289180Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T08:13:38.2289573Z tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T08:13:38.2289985Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-12-04T08:13:38.2295976Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:38.2296366Z env:
2025-12-04T08:13:38.2296591Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:38.2297391Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:38.2298204Z ##[endgroup]
2025-12-04T08:13:38.2324916Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:38.2374719Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-12-04T08:13:38.2375202Z with:
2025-12-04T08:13:38.2375955Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:38.2376885Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:38.2377288Z env:
2025-12-04T08:13:38.2377512Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:38.2377770Z ##[endgroup]
2025-12-04T08:13:38.2396451Z ##[group]Run set -x
2025-12-04T08:13:38.2396728Z set -x
2025-12-04T08:13:38.2396949Z set +e
2025-12-04T08:13:38.2397176Z 
2025-12-04T08:13:38.2397389Z login() {
2025-12-04T08:13:38.2397862Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T08:13:38.2398402Z }
2025-12-04T08:13:38.2398671Z 
2025-12-04T08:13:38.2398919Z retry () {
2025-12-04T08:13:38.2399184Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T08:13:38.2399518Z }
2025-12-04T08:13:38.2399730Z 
2025-12-04T08:13:38.2399968Z retry login "${DOCKER_REGISTRY}"
2025-12-04T08:13:38.2400272Z 
2025-12-04T08:13:38.2400768Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-12-04T08:13:38.2401452Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-12-04T08:13:38.2401822Z 
2025-12-04T08:13:38.2402032Z set -e
2025-12-04T08:13:38.2402380Z # ignore output since only exit code is used for conditional
2025-12-04T08:13:38.2402884Z # only pull docker image if it's not available locally
2025-12-04T08:13:38.2403424Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-12-04T08:13:38.2403949Z   retry docker pull "${DOCKER_IMAGE}"
2025-12-04T08:13:38.2404275Z fi
2025-12-04T08:13:38.2409579Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:13:38.2409975Z env:
2025-12-04T08:13:38.2410194Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:13:38.2410963Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:38.2411871Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:38.2412270Z ##[endgroup]
2025-12-04T08:13:38.2435215Z + set +e
2025-12-04T08:13:38.2435573Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:38.2436022Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:38.2438651Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:13:38.2439944Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:13:38.7438098Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:13:38.7438754Z Configure a credential helper to remove this warning. See
2025-12-04T08:13:38.7439825Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:13:38.7440303Z 
2025-12-04T08:13:38.7440413Z Login Succeeded
2025-12-04T08:13:38.7456897Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:38.7457890Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-12-04T08:13:38.9426214Z + IMAGE_SIZE=4472.951248168945
2025-12-04T08:13:38.9426824Z Compressed size of image in MB: 4472.951248168945
2025-12-04T08:13:38.9427512Z + echo 'Compressed size of image in MB: 4472.951248168945'
2025-12-04T08:13:38.9428166Z + set -e
2025-12-04T08:13:38.9429327Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:38.9559748Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:38.9561147Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:13:39.1310389Z pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image
2025-12-04T08:13:39.1316581Z 63e5bc7682b8: Pulling fs layer
2025-12-04T08:13:39.1317328Z 5a99dbbe8953: Pulling fs layer
2025-12-04T08:13:39.1317990Z 90c4def1b127: Pulling fs layer
2025-12-04T08:13:39.1318645Z a2c983655925: Pulling fs layer
2025-12-04T08:13:39.1319247Z bd3db159a6ab: Pulling fs layer
2025-12-04T08:13:39.1319778Z 7a10eaeace60: Pulling fs layer
2025-12-04T08:13:39.1320317Z 1247d3ca9112: Pulling fs layer
2025-12-04T08:13:39.1320818Z 20dc7ae2d07a: Pulling fs layer
2025-12-04T08:13:39.1321353Z d96455071753: Pulling fs layer
2025-12-04T08:13:39.1321855Z 5ff6957a629c: Pulling fs layer
2025-12-04T08:13:39.1322396Z 7428d586b9d2: Pulling fs layer
2025-12-04T08:13:39.1322889Z 62f866d38c3a: Pulling fs layer
2025-12-04T08:13:39.1323390Z 5b976bbaf127: Pulling fs layer
2025-12-04T08:13:39.1323895Z 1247d3ca9112: Waiting
2025-12-04T08:13:39.1324367Z 67fdd8a2cae7: Pulling fs layer
2025-12-04T08:13:39.1324858Z a2c983655925: Waiting
2025-12-04T08:13:39.1325300Z bd3db159a6ab: Waiting
2025-12-04T08:13:39.1325745Z 7a10eaeace60: Waiting
2025-12-04T08:13:39.1326157Z 7428d586b9d2: Waiting
2025-12-04T08:13:39.1326482Z 4f4fb700ef54: Pulling fs layer
2025-12-04T08:13:39.1326774Z 4aa62fab1ece: Pulling fs layer
2025-12-04T08:13:39.1327050Z f1e2075e5eb2: Pulling fs layer
2025-12-04T08:13:39.1327331Z f1a623399314: Pulling fs layer
2025-12-04T08:13:39.1327597Z 62f866d38c3a: Waiting
2025-12-04T08:13:39.1327825Z 5b976bbaf127: Waiting
2025-12-04T08:13:39.1328067Z 67fdd8a2cae7: Waiting
2025-12-04T08:13:39.1328322Z 838727984164: Pulling fs layer
2025-12-04T08:13:39.1328599Z 1d774143d46c: Pulling fs layer
2025-12-04T08:13:39.1328879Z 2c9a7d58a196: Pulling fs layer
2025-12-04T08:13:39.1329160Z a1a0e4546dd0: Pulling fs layer
2025-12-04T08:13:39.1329442Z 4148c341f564: Pulling fs layer
2025-12-04T08:13:39.1329706Z 20dc7ae2d07a: Waiting
2025-12-04T08:13:39.1330354Z b00a1cd19dae: Pulling fs layer
2025-12-04T08:13:39.1330642Z 2306d6a7c853: Pulling fs layer
2025-12-04T08:13:39.1330898Z d96455071753: Waiting
2025-12-04T08:13:39.1331147Z 531e62fd7b48: Pulling fs layer
2025-12-04T08:13:39.1331428Z 5ff6957a629c: Waiting
2025-12-04T08:13:39.1331668Z 342fc23bd590: Pulling fs layer
2025-12-04T08:13:39.1332012Z 4aa62fab1ece: Waiting
2025-12-04T08:13:39.1332255Z 838727984164: Waiting
2025-12-04T08:13:39.1332528Z d2de17964c91: Pulling fs layer
2025-12-04T08:13:39.1332943Z 1d774143d46c: Waiting
2025-12-04T08:13:39.1333185Z 2c9a7d58a196: Waiting
2025-12-04T08:13:39.1333449Z ad40056b7301: Pulling fs layer
2025-12-04T08:13:39.1333783Z 56fadbe5a22c: Pulling fs layer
2025-12-04T08:13:39.1334060Z f1e2075e5eb2: Waiting
2025-12-04T08:13:39.1334497Z a1a0e4546dd0: Waiting
2025-12-04T08:13:39.1334742Z 4148c341f564: Waiting
2025-12-04T08:13:39.1334996Z 67a68c3643f9: Pulling fs layer
2025-12-04T08:13:39.1335291Z 2f60a5515fca: Pulling fs layer
2025-12-04T08:13:39.1335579Z 1b3a2f08f95e: Pulling fs layer
2025-12-04T08:13:39.1335851Z f1a623399314: Waiting
2025-12-04T08:13:39.1336104Z d65f68344841: Pulling fs layer
2025-12-04T08:13:39.1336427Z b00a1cd19dae: Waiting
2025-12-04T08:13:39.1336658Z 67a68c3643f9: Waiting
2025-12-04T08:13:39.1336901Z 2306d6a7c853: Waiting
2025-12-04T08:13:39.1337143Z 2f60a5515fca: Waiting
2025-12-04T08:13:39.1337376Z 56fadbe5a22c: Waiting
2025-12-04T08:13:39.1337637Z bdc64880d54b: Pulling fs layer
2025-12-04T08:13:39.1337919Z 4f4fb700ef54: Waiting
2025-12-04T08:13:39.1338152Z 531e62fd7b48: Waiting
2025-12-04T08:13:39.1338396Z 342fc23bd590: Waiting
2025-12-04T08:13:39.1338641Z ad40056b7301: Waiting
2025-12-04T08:13:39.1338993Z 1b3a2f08f95e: Waiting
2025-12-04T08:13:39.1339236Z d65f68344841: Waiting
2025-12-04T08:13:39.1339640Z bdc64880d54b: Waiting
2025-12-04T08:13:39.1339883Z 0ac9b4cbd8d6: Pulling fs layer
2025-12-04T08:13:39.1340163Z d2de17964c91: Waiting
2025-12-04T08:13:39.1340419Z ff4a13fdd487: Pulling fs layer
2025-12-04T08:13:39.1340693Z f6d4514e7906: Pulling fs layer
2025-12-04T08:13:39.1340983Z 7feb58d88ec8: Pulling fs layer
2025-12-04T08:13:39.1341266Z ae946e83ad80: Pulling fs layer
2025-12-04T08:13:39.1341540Z ff4a13fdd487: Waiting
2025-12-04T08:13:39.1341777Z 0ac9b4cbd8d6: Waiting
2025-12-04T08:13:39.1342201Z 7ced24139d75: Pulling fs layer
2025-12-04T08:13:39.1342476Z f6d4514e7906: Waiting
2025-12-04T08:13:39.1342716Z b26641cb8af0: Pulling fs layer
2025-12-04T08:13:39.1342993Z ae946e83ad80: Waiting
2025-12-04T08:13:39.1343234Z 7feb58d88ec8: Waiting
2025-12-04T08:13:39.1343476Z f5ffb9853afd: Pulling fs layer
2025-12-04T08:13:39.1343765Z 85f7f5ab98a2: Pulling fs layer
2025-12-04T08:13:39.1344040Z 7ced24139d75: Waiting
2025-12-04T08:13:39.1344274Z f5ffb9853afd: Waiting
2025-12-04T08:13:39.1344516Z b26641cb8af0: Waiting
2025-12-04T08:13:39.1344763Z 85f7f5ab98a2: Waiting
2025-12-04T08:13:39.1345002Z 61299215b0fb: Pulling fs layer
2025-12-04T08:13:39.1345288Z 16b98c683cdf: Pulling fs layer
2025-12-04T08:13:39.1345568Z 61299215b0fb: Waiting
2025-12-04T08:13:39.1345808Z 35c23ac6db6d: Pulling fs layer
2025-12-04T08:13:39.1346095Z b90b01d6da43: Pulling fs layer
2025-12-04T08:13:39.1346367Z 16b98c683cdf: Waiting
2025-12-04T08:13:39.1346597Z 35c23ac6db6d: Waiting
2025-12-04T08:13:39.1346851Z 5aca81540cba: Pulling fs layer
2025-12-04T08:13:39.1347136Z c8da94486492: Pulling fs layer
2025-12-04T08:13:39.1347423Z b7e6ff1c204a: Pulling fs layer
2025-12-04T08:13:39.1347683Z c8da94486492: Waiting
2025-12-04T08:13:39.1347922Z 5aca81540cba: Waiting
2025-12-04T08:13:39.1348178Z 2aa7833ad57a: Pulling fs layer
2025-12-04T08:13:39.1348455Z c7fb1cba105a: Pulling fs layer
2025-12-04T08:13:39.1348732Z b90b01d6da43: Waiting
2025-12-04T08:13:39.1348992Z 1e2bc289f2f0: Pulling fs layer
2025-12-04T08:13:39.1349257Z 2aa7833ad57a: Waiting
2025-12-04T08:13:39.1349515Z 81b4829c81a3: Pulling fs layer
2025-12-04T08:13:39.1349793Z c7fb1cba105a: Waiting
2025-12-04T08:13:39.1350026Z b7e6ff1c204a: Waiting
2025-12-04T08:13:39.1350457Z 81b4829c81a3: Waiting
2025-12-04T08:13:39.1350708Z c370919b7953: Pulling fs layer
2025-12-04T08:13:39.1350985Z a2b6cf5acc8f: Pulling fs layer
2025-12-04T08:13:39.1351277Z aae7fb386890: Pulling fs layer
2025-12-04T08:13:39.1351558Z a2b6cf5acc8f: Waiting
2025-12-04T08:13:39.1351799Z 405bd83d0433: Pulling fs layer
2025-12-04T08:13:39.1352079Z 8e0628908158: Pulling fs layer
2025-12-04T08:13:39.1352349Z c370919b7953: Waiting
2025-12-04T08:13:39.1352601Z 7e536259fa1f: Pulling fs layer
2025-12-04T08:13:39.1352974Z 405bd83d0433: Waiting
2025-12-04T08:13:39.1353213Z 8e0628908158: Waiting
2025-12-04T08:13:39.1353463Z a50b5c320162: Pulling fs layer
2025-12-04T08:13:39.1353732Z 0b09c1642c91: Pulling fs layer
2025-12-04T08:13:39.1354008Z a50b5c320162: Waiting
2025-12-04T08:13:39.1354259Z aae7fb386890: Waiting
2025-12-04T08:13:39.1354487Z 7e536259fa1f: Waiting
2025-12-04T08:13:39.1354876Z 503ffad700cd: Pulling fs layer
2025-12-04T08:13:39.1355154Z 0b09c1642c91: Waiting
2025-12-04T08:13:39.1355559Z dde1ddfc4205: Pulling fs layer
2025-12-04T08:13:39.1355840Z 503ffad700cd: Waiting
2025-12-04T08:13:39.1356097Z 6fff2372e67a: Pulling fs layer
2025-12-04T08:13:39.1356361Z dde1ddfc4205: Waiting
2025-12-04T08:13:39.1356619Z c0c4cfd870fe: Pulling fs layer
2025-12-04T08:13:39.1356896Z c0c4cfd870fe: Waiting
2025-12-04T08:13:39.1357127Z 6fff2372e67a: Waiting
2025-12-04T08:13:39.2007491Z 5a99dbbe8953: Verifying Checksum
2025-12-04T08:13:39.2008019Z 5a99dbbe8953: Download complete
2025-12-04T08:13:39.3585420Z a2c983655925: Verifying Checksum
2025-12-04T08:13:39.3585891Z a2c983655925: Download complete
2025-12-04T08:13:39.4845145Z 63e5bc7682b8: Download complete
2025-12-04T08:13:39.5382603Z 7a10eaeace60: Verifying Checksum
2025-12-04T08:13:39.5383217Z 7a10eaeace60: Download complete
2025-12-04T08:13:39.6337817Z 1247d3ca9112: Verifying Checksum
2025-12-04T08:13:39.6338311Z 1247d3ca9112: Download complete
2025-12-04T08:13:39.7296743Z 20dc7ae2d07a: Download complete
2025-12-04T08:13:39.7984735Z d96455071753: Download complete
2025-12-04T08:13:39.8709124Z 5ff6957a629c: Verifying Checksum
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2025-12-04T08:13:39.9410391Z 7428d586b9d2: Verifying Checksum
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2025-12-04T08:15:41.5065560Z Digest: sha256:44d91ac3fb28148b815d1cceb9cd39141de00f73eeb8e8813204519b10fe3c21
2025-12-04T08:15:41.5108611Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:15:41.5157994Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:15:41.5210287Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:15:41.5211300Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:15:41.5218426Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:15:41.5218816Z env:
2025-12-04T08:15:41.5219043Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:41.5219303Z ##[endgroup]
2025-12-04T08:15:41.5548455Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-12-04T08:15:41.5548905Z with:
2025-12-04T08:15:41.5549117Z   driver-version: 580.82.07
2025-12-04T08:15:41.5549390Z env:
2025-12-04T08:15:41.5549607Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:41.5549949Z ##[endgroup]
2025-12-04T08:15:41.5609061Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:15:41.5610012Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:15:41.5616119Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:15:41.5616530Z env:
2025-12-04T08:15:41.5616755Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:41.5617010Z ##[endgroup]
2025-12-04T08:15:41.5697308Z ##[group]Run set -euo pipefail
2025-12-04T08:15:41.5697650Z set -euo pipefail
2025-12-04T08:15:41.5698062Z 
2025-12-04T08:15:41.5698383Z has_gpu=false
2025-12-04T08:15:41.5698781Z devices=""
2025-12-04T08:15:41.5699148Z 
2025-12-04T08:15:41.5699428Z if command -v nvidia-smi >/dev/null 2>&1; then
2025-12-04T08:15:41.5699899Z   if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T08:15:41.5700305Z     has_gpu=true
2025-12-04T08:15:41.5700613Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T08:15:41.5700934Z   fi
2025-12-04T08:15:41.5701156Z fi
2025-12-04T08:15:41.5701370Z 
2025-12-04T08:15:41.5701591Z if [ "$has_gpu" = false ]; then
2025-12-04T08:15:41.5701996Z   if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T08:15:41.5702401Z     has_gpu=true
2025-12-04T08:15:41.5702689Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T08:15:41.5703016Z   fi
2025-12-04T08:15:41.5703234Z fi
2025-12-04T08:15:41.5703438Z 
2025-12-04T08:15:41.5703754Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then
2025-12-04T08:15:41.5704280Z   if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T08:15:41.5704711Z     has_gpu=true
2025-12-04T08:15:41.5705000Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T08:15:41.5705324Z   fi
2025-12-04T08:15:41.5705542Z fi
2025-12-04T08:15:41.5705742Z 
2025-12-04T08:15:41.5706052Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT"
2025-12-04T08:15:41.5706605Z printf 'DETECTED_DEVICES<<EOF\n%s\nEOF\n' "$devices" >> "$GITHUB_OUTPUT"
2025-12-04T08:15:41.5712330Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:15:41.5712740Z env:
2025-12-04T08:15:41.5712966Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:41.5713222Z ##[endgroup]
2025-12-04T08:15:41.6262169Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T08:15:41.6262608Z if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T08:15:41.6263004Z   echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}"
2025-12-04T08:15:41.6263558Z   echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"
2025-12-04T08:15:41.6264042Z else
2025-12-04T08:15:41.6264325Z   echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}"
2025-12-04T08:15:41.6264691Z fi
2025-12-04T08:15:41.6270825Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:15:41.6271272Z env:
2025-12-04T08:15:41.6271504Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:41.6271786Z   HAS_NVIDIA: false
2025-12-04T08:15:41.6272016Z ##[endgroup]
2025-12-04T08:15:41.6379228Z Prepare all required actions
2025-12-04T08:15:41.6479807Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-12-04T08:15:41.6480381Z with:
2025-12-04T08:15:41.6481042Z   github-token: ***
2025-12-04T08:15:41.6481390Z env:
2025-12-04T08:15:41.6481639Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:41.6481913Z   HAS_NVIDIA_GPU: false
2025-12-04T08:15:41.6482163Z ##[endgroup]
2025-12-04T08:15:41.6556086Z ##[group]Run set -eux
2025-12-04T08:15:41.6556345Z set -eux
2025-12-04T08:15:41.6556803Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T08:15:41.6562643Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:15:41.6563104Z env:
2025-12-04T08:15:41.6563328Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:41.6563594Z   HAS_NVIDIA_GPU: false
2025-12-04T08:15:41.6564019Z   GITHUB_TOKEN: ***
2025-12-04T08:15:41.6564260Z ##[endgroup]
2025-12-04T08:15:41.6589430Z + python3 .github/scripts/get_workflow_job_id.py 19921726337 i-0c1d8a0372d6a4d35
2025-12-04T08:15:44.0148931Z Setting output job-id=57112645056
2025-12-04T08:15:44.0150075Z Setting output job-name=linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T08:15:44.0276968Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T08:15:44.0277752Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T08:15:44.0278735Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-12-04T08:15:44.0279634Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:15:44.0286011Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:15:44.0286411Z env:
2025-12-04T08:15:44.0286625Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:44.0286900Z   HAS_NVIDIA_GPU: false
2025-12-04T08:15:44.0287155Z   JOB_ID: 57112645056
2025-12-04T08:15:44.0287585Z   JOB_NAME: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T08:15:44.0288072Z   WORKFLOW_NAME: pull
2025-12-04T08:15:44.0288375Z   WORKFLOW_RUN_ID: 19921726337
2025-12-04T08:15:44.0288654Z   MONITOR_LOG_INTERVAL: 5
2025-12-04T08:15:44.0288935Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-12-04T08:15:44.0289237Z ##[endgroup]
2025-12-04T08:15:44.4425802Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T08:15:44.8096346Z Collecting psutil==5.9.8
2025-12-04T08:15:44.8278176Z   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)
2025-12-04T08:15:44.9009237Z Collecting dataclasses_json==0.6.7
2025-12-04T08:15:44.9044393Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-12-04T08:15:44.9315976Z Collecting nvidia-ml-py==11.525.84
2025-12-04T08:15:44.9351627Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-12-04T08:15:44.9667156Z Collecting typing-inspect<1,>=0.4.0
2025-12-04T08:15:44.9702821Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-12-04T08:15:45.0754375Z Collecting marshmallow<4.0.0,>=3.18.0
2025-12-04T08:15:45.0790168Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-12-04T08:15:45.1336125Z Collecting packaging>=17.0
2025-12-04T08:15:45.1372228Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-12-04T08:15:45.1609674Z Collecting mypy-extensions>=0.3.0
2025-12-04T08:15:45.1648132Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-12-04T08:15:45.2120044Z Collecting typing-extensions>=3.7.4
2025-12-04T08:15:45.2162626Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-12-04T08:15:45.3040638Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-12-04T08:15:45.5787893Z 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
2025-12-04T08:15:45.7612942Z Prepare all required actions
2025-12-04T08:15:45.7613337Z Getting action download info
2025-12-04T08:15:45.9265362Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T08:15:46.1782306Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-12-04T08:15:46.3987084Z ##[group]Run ./.github/actions/download-build-artifacts
2025-12-04T08:15:46.3987453Z with:
2025-12-04T08:15:46.3987694Z   name: linux-jammy-py3.14-clang12
2025-12-04T08:15:46.3988009Z   s3-bucket: gha-artifacts
2025-12-04T08:15:46.3988260Z env:
2025-12-04T08:15:46.3988474Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:46.3988746Z   HAS_NVIDIA_GPU: false
2025-12-04T08:15:46.3988983Z ##[endgroup]
2025-12-04T08:15:46.4029584Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T08:15:46.4030048Z with:
2025-12-04T08:15:46.4030283Z   name: linux-jammy-py3.14-clang12
2025-12-04T08:15:46.4030631Z   s3-bucket: gha-artifacts
2025-12-04T08:15:46.4030910Z   region: us-east-1
2025-12-04T08:15:46.4031131Z env:
2025-12-04T08:15:46.4031345Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:46.4031622Z   HAS_NVIDIA_GPU: false
2025-12-04T08:15:46.4031862Z ##[endgroup]
2025-12-04T08:15:46.8680697Z (node:43198) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T08:15:46.8681222Z 
2025-12-04T08:15:46.8681430Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T08:15:46.8681993Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T08:15:46.8682578Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T08:15:47.0669027Z Found 1 objects with prefix pytorch/pytorch/19921726337/linux-jammy-py3.14-clang12/
2025-12-04T08:15:47.0669778Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T08:15:52.0570627Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T08:15:52.0576067Z Artifact download has finished successfully
2025-12-04T08:15:52.1020526Z ##[group]Run unzip -o artifacts.zip
2025-12-04T08:15:52.1020881Z unzip -o artifacts.zip
2025-12-04T08:15:52.1026762Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:15:52.1027159Z env:
2025-12-04T08:15:52.1027371Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:52.1027649Z   HAS_NVIDIA_GPU: false
2025-12-04T08:15:52.1027906Z ##[endgroup]
2025-12-04T08:15:52.1284771Z Archive:  artifacts.zip
2025-12-04T08:15:52.1285474Z    creating: dist/
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2025-12-04T08:15:53.2869731Z   inflating: dist/.ninja_log         
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2025-12-04T08:15:59.1152058Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-12-04T08:15:59.1200601Z   inflating: build/bin/CppSignature_test  
2025-12-04T08:15:59.1252820Z   inflating: build/bin/backend_fallback_test  
2025-12-04T08:15:59.1300569Z   inflating: build/bin/op_allowlist_test  
2025-12-04T08:15:59.1584779Z   inflating: build/bin/op_registration_test  
2025-12-04T08:15:59.1646597Z   inflating: build/bin/inline_container_test  
2025-12-04T08:15:59.1943727Z   inflating: build/bin/test_lazy     
2025-12-04T08:15:59.1994335Z   inflating: build/bin/HashStoreTest  
2025-12-04T08:15:59.1997437Z   inflating: build/bin/example_allreduce  
2025-12-04T08:15:59.2061969Z   inflating: build/bin/ProcessGroupGlooTest  
2025-12-04T08:15:59.3079358Z   inflating: build/bin/test_jit      
2025-12-04T08:15:59.3131809Z   inflating: build/bin/test_dist_autograd  
2025-12-04T08:15:59.3196588Z   inflating: build/bin/test_cpp_rpc  
2025-12-04T08:15:59.4575587Z   inflating: build/bin/test_api      
2025-12-04T08:15:59.4577641Z   inflating: build/bin/parallel_benchmark  
2025-12-04T08:15:59.4581765Z   inflating: build/bin/torch_shm_manager  
2025-12-04T08:15:59.4582121Z    creating: .additional_ci_files/
2025-12-04T08:15:59.4643954Z   inflating: .additional_ci_files/test-times.json  
2025-12-04T08:15:59.4870088Z   inflating: .additional_ci_files/test-class-times.json  
2025-12-04T08:15:59.4899531Z ##[group]Run rm artifacts.zip
2025-12-04T08:15:59.4899862Z rm artifacts.zip
2025-12-04T08:15:59.4906006Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:15:59.4906398Z env:
2025-12-04T08:15:59.4906609Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:59.4906887Z   HAS_NVIDIA_GPU: false
2025-12-04T08:15:59.4907142Z ##[endgroup]
2025-12-04T08:15:59.8239241Z ##[group]Run df -H
2025-12-04T08:15:59.8239520Z df -H
2025-12-04T08:15:59.8245636Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:15:59.8246033Z env:
2025-12-04T08:15:59.8246261Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:15:59.8246529Z   HAS_NVIDIA_GPU: false
2025-12-04T08:15:59.8246789Z ##[endgroup]
2025-12-04T08:15:59.8647992Z Filesystem        Size  Used Avail Use% Mounted on
2025-12-04T08:15:59.8648477Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-12-04T08:15:59.8649008Z tmpfs             8.2G     0  8.2G   0% /dev/shm
2025-12-04T08:15:59.8649583Z tmpfs             3.3G  488k  3.3G   1% /run
2025-12-04T08:15:59.8650153Z /dev/nvme0n1p1    161G   28G  134G  18% /
2025-12-04T08:15:59.8650693Z tmpfs             8.2G   13k  8.2G   1% /tmp
2025-12-04T08:15:59.8651263Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-12-04T08:15:59.8742965Z Prepare all required actions
2025-12-04T08:15:59.8743514Z Getting action download info
2025-12-04T08:16:00.0473951Z ##[group]Run ./.github/actions/download-td-artifacts
2025-12-04T08:16:00.0474323Z with:
2025-12-04T08:16:00.0474531Z env:
2025-12-04T08:16:00.0474742Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:00.0475018Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:00.0475287Z ##[endgroup]
2025-12-04T08:16:00.0610851Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T08:16:00.0611211Z with:
2025-12-04T08:16:00.0611417Z   name: td_results
2025-12-04T08:16:00.0611671Z   s3-bucket: gha-artifacts
2025-12-04T08:16:00.0611948Z   region: us-east-1
2025-12-04T08:16:00.0612169Z env:
2025-12-04T08:16:00.0612383Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:00.0612810Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:00.0613062Z ##[endgroup]
2025-12-04T08:16:00.7770481Z (node:43222) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T08:16:00.7771096Z 
2025-12-04T08:16:00.7771294Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T08:16:00.7771871Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T08:16:00.7772433Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T08:16:00.8807165Z Found 1 objects with prefix pytorch/pytorch/19921726337/td_results/
2025-12-04T08:16:00.8807839Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T08:16:00.9459713Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T08:16:00.9465880Z Artifact download has finished successfully
2025-12-04T08:16:00.9733540Z ##[group]Run mkdir -p .additional_ci_files
2025-12-04T08:16:00.9733937Z mkdir -p .additional_ci_files
2025-12-04T08:16:00.9734387Z mv td_results.json .additional_ci_files/td_results.json || true
2025-12-04T08:16:00.9743610Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:16:00.9743998Z env:
2025-12-04T08:16:00.9744221Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:00.9744497Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:00.9744742Z ##[endgroup]
2025-12-04T08:16:01.2361605Z ##[group]Run .github/scripts/parse_ref.py
2025-12-04T08:16:01.2362298Z .github/scripts/parse_ref.py
2025-12-04T08:16:01.2368450Z shell: /usr/bin/bash -e {0}
2025-12-04T08:16:01.2368743Z env:
2025-12-04T08:16:01.2368976Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:01.2369254Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:01.2369500Z ##[endgroup]
2025-12-04T08:16:01.2762865Z Setting output branch=main
2025-12-04T08:16:01.2957851Z Prepare all required actions
2025-12-04T08:16:01.2958285Z Getting action download info
2025-12-04T08:16:01.4507182Z ##[group]Run ./.github/actions/filter-test-configs
2025-12-04T08:16:01.4507544Z with:
2025-12-04T08:16:01.4508014Z   github-token: ***
2025-12-04T08:16:01.4511224Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}
2025-12-04T08:16:01.4514574Z   job-name: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T08:16:01.4515054Z env:
2025-12-04T08:16:01.4515260Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:01.4515543Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:01.4515804Z ##[endgroup]
2025-12-04T08:16:01.4601334Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T08:16:01.4601646Z with:
2025-12-04T08:16:01.4601862Z   shell: bash
2025-12-04T08:16:01.4602097Z   timeout_minutes: 10
2025-12-04T08:16:01.4602340Z   max_attempts: 5
2025-12-04T08:16:01.4602605Z   retry_wait_seconds: 30
2025-12-04T08:16:01.4603451Z   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

2025-12-04T08:16:01.4604311Z   polling_interval_seconds: 1
2025-12-04T08:16:01.4604770Z   warning_on_retry: true
2025-12-04T08:16:01.4605047Z   continue_on_error: false
2025-12-04T08:16:01.4605299Z env:
2025-12-04T08:16:01.4605518Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:01.4605793Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:01.4606232Z   GITHUB_TOKEN: ***
2025-12-04T08:16:01.4606457Z ##[endgroup]
2025-12-04T08:16:01.6458635Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-12-04T08:16:01.8824236Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T08:16:02.0287587Z Collecting requests==2.27.1
2025-12-04T08:16:02.0452645Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-12-04T08:16:02.2628804Z Collecting pyyaml==6.0.2
2025-12-04T08:16:02.2685177Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-12-04T08:16:02.3237042Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-12-04T08:16:02.3246702Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-12-04T08:16:02.7239721Z Collecting charset-normalizer~=2.0.0
2025-12-04T08:16:02.7278607Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-12-04T08:16:02.8204327Z Collecting certifi>=2017.4.17
2025-12-04T08:16:02.8240306Z   Downloading certifi-2025.11.12-py3-none-any.whl (159 kB)
2025-12-04T08:16:02.9325625Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-12-04T08:16:03.1688501Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-12-04T08:16:03.5386598Z Command completed after 1 attempt(s).
2025-12-04T08:16:03.5538919Z ##[group]Run set -x
2025-12-04T08:16:03.5539175Z set -x
2025-12-04T08:16:03.5539406Z 
2025-12-04T08:16:03.5539983Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T08:16:03.5540493Z # in runner workspace
2025-12-04T08:16:03.5540895Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-12-04T08:16:03.5546928Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:16:03.5547319Z env:
2025-12-04T08:16:03.5547530Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:03.5547806Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:03.5548066Z ##[endgroup]
2025-12-04T08:16:03.5572379Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-12-04T08:16:03.5832635Z Setting output branch=main
2025-12-04T08:16:03.5962915Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T08:16:03.5963414Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T08:16:03.5963751Z echo "Job name: ${JOB_NAME}"
2025-12-04T08:16:03.5964051Z 
2025-12-04T08:16:03.5964458Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T08:16:03.5964968Z # in runner workspace
2025-12-04T08:16:03.5965399Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-12-04T08:16:03.5965899Z   --workflow "${GITHUB_WORKFLOW}" \
2025-12-04T08:16:03.5966245Z   --job-name "${JOB_NAME}" \
2025-12-04T08:16:03.5969459Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}" \
2025-12-04T08:16:03.5972859Z   --selected-test-configs "" \
2025-12-04T08:16:03.5973209Z   --pr-number "${PR_NUMBER}" \
2025-12-04T08:16:03.5973536Z   --tag "${TAG}" \
2025-12-04T08:16:03.5973826Z   --event-name "${EVENT_NAME}" \
2025-12-04T08:16:03.5974162Z   --schedule "${SCHEDULE}" \
2025-12-04T08:16:03.5974487Z   --branch "${HEAD_BRANCH}"
2025-12-04T08:16:03.5980403Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:16:03.5980802Z env:
2025-12-04T08:16:03.5981041Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:03.5981308Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:03.5981844Z   GITHUB_TOKEN: ***
2025-12-04T08:16:03.5982470Z   JOB_NAME: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T08:16:03.5983176Z   PR_NUMBER: 
2025-12-04T08:16:03.5983393Z   TAG: 
2025-12-04T08:16:03.5983611Z   EVENT_NAME: push
2025-12-04T08:16:03.5983848Z   SCHEDULE: 
2025-12-04T08:16:03.5984058Z   HEAD_BRANCH: main
2025-12-04T08:16:03.5984295Z ##[endgroup]
2025-12-04T08:16:03.6008972Z Workflow: pull
2025-12-04T08:16:03.6009734Z Job name: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T08:16:03.8759593Z Setting output keep-going=True
2025-12-04T08:16:03.8759998Z Setting output ci-verbose-test-logs=False
2025-12-04T08:16:03.8760382Z Setting output ci-test-showlocals=False
2025-12-04T08:16:03.8760733Z Setting output ci-no-test-timeout=False
2025-12-04T08:16:03.8761053Z Setting output ci-no-td=False
2025-12-04T08:16:03.8761617Z Setting output ci-td-distributed=False
2025-12-04T08:16:03.8761952Z Setting output is-unstable=False
2025-12-04T08:16:03.8762290Z Setting output reenabled-issues=
2025-12-04T08:16:03.8765609Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}
2025-12-04T08:16:03.8768925Z Setting output is-test-matrix-empty=False
2025-12-04T08:16:03.8943089Z ##[group]Run echo "Filtered matrix:"
2025-12-04T08:16:03.8943443Z echo "Filtered matrix:"
2025-12-04T08:16:03.8947032Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}"
2025-12-04T08:16:03.8950424Z 
2025-12-04T08:16:03.8950729Z echo
2025-12-04T08:16:03.8951195Z echo "Is the current job unstable? False"
2025-12-04T08:16:03.8951663Z 
2025-12-04T08:16:03.8951869Z echo
2025-12-04T08:16:03.8952115Z echo "Is keep-going label set? True"
2025-12-04T08:16:03.8952437Z 
2025-12-04T08:16:03.8952642Z echo
2025-12-04T08:16:03.8952868Z echo "Reenabled issues? "
2025-12-04T08:16:03.8958814Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:16:03.8959201Z env:
2025-12-04T08:16:03.8959427Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:03.8959701Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:03.8959958Z ##[endgroup]
2025-12-04T08:16:03.8984089Z Filtered matrix:
2025-12-04T08:16:03.8987723Z {include: [{config: default, shard: 1, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 2, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 3, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 4, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 5, num_shards: 5, runner: linux.4xlarge}, {config: crossref, shard: 1, num_shards: 2, runner: linux.2xlarge}, {config: crossref, shard: 2, num_shards: 2, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: linux.2xlarge}, {config: einops, shard: 1, num_shards: 1, runner: linux.2xlarge}, {config: openreg, shard: 1, num_shards: 1, runner: linux.2xlarge}]}
2025-12-04T08:16:03.8990932Z 
2025-12-04T08:16:03.8991060Z Is the current job unstable? False
2025-12-04T08:16:03.8991282Z 
2025-12-04T08:16:03.8991389Z Is keep-going label set? True
2025-12-04T08:16:03.8991586Z 
2025-12-04T08:16:03.8991695Z Reenabled issues? 
2025-12-04T08:16:03.9043042Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T08:16:03.9043594Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T08:16:03.9049214Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:16:03.9049600Z env:
2025-12-04T08:16:03.9049827Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:03.9050109Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:03.9050355Z   JOB_TIMEOUT: 240
2025-12-04T08:16:03.9050592Z ##[endgroup]
2025-12-04T08:16:03.9105296Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:16:03.9105840Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:16:03.9106316Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:16:03.9111803Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:16:03.9112194Z env:
2025-12-04T08:16:03.9112422Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:03.9112709Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:03.9112958Z ##[endgroup]
2025-12-04T08:16:03.9219566Z ##[group]Run set -x
2025-12-04T08:16:03.9219901Z set -x
2025-12-04T08:16:03.9220134Z 
2025-12-04T08:16:03.9220391Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-12-04T08:16:03.9220785Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-12-04T08:16:03.9221197Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-12-04T08:16:03.9221575Z   TEST_COMMAND=.ci/onnx/test.sh
2025-12-04T08:16:03.9221877Z else
2025-12-04T08:16:03.9222136Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T08:16:03.9222456Z fi
2025-12-04T08:16:03.9222657Z 
2025-12-04T08:16:03.9222928Z # Leaving 1GB for the runner and other things
2025-12-04T08:16:03.9223531Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-12-04T08:16:03.9224580Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-12-04T08:16:03.9225321Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-12-04T08:16:03.9225874Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-12-04T08:16:03.9226314Z 
2025-12-04T08:16:03.9226573Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T08:16:03.9226938Z   SHM_OPTS=
2025-12-04T08:16:03.9227194Z   JENKINS_USER=
2025-12-04T08:16:03.9227538Z   # ensure that docker container cleanly exits in 12 hours
2025-12-04T08:16:03.9228029Z   # if for some reason cleanup action doesn't stop container
2025-12-04T08:16:03.9228444Z   # when job is cancelled
2025-12-04T08:16:03.9228761Z   DOCKER_SHELL_CMD="sleep 12h"
2025-12-04T08:16:03.9229093Z   USED_IMAGE="${DOCKER_IMAGE_S390X}"
2025-12-04T08:16:03.9229415Z else
2025-12-04T08:16:03.9229671Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-12-04T08:16:03.9230120Z   JENKINS_USER="--user jenkins"
2025-12-04T08:16:03.9230448Z   DOCKER_SHELL_CMD=
2025-12-04T08:16:03.9230741Z   USED_IMAGE="${DOCKER_IMAGE}"
2025-12-04T08:16:03.9231033Z fi
2025-12-04T08:16:03.9231246Z 
2025-12-04T08:16:03.9231592Z # detached container should get cleaned up by teardown_ec2_linux
2025-12-04T08:16:03.9232147Z # TODO: Stop building test binaries as part of the build phase
2025-12-04T08:16:03.9232765Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-12-04T08:16:03.9233319Z # shellcheck disable=SC2086,SC2090
2025-12-04T08:16:03.9233670Z container_name=$(docker run \
2025-12-04T08:16:03.9233975Z   ${GPU_FLAG:-} \
2025-12-04T08:16:03.9234283Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-12-04T08:16:03.9234641Z   -e BUILD_ENVIRONMENT \
2025-12-04T08:16:03.9234949Z   -e PR_NUMBER \
2025-12-04T08:16:03.9235226Z   -e GITHUB_ACTIONS \
2025-12-04T08:16:03.9235531Z   -e GITHUB_REPOSITORY \
2025-12-04T08:16:03.9235847Z   -e GITHUB_WORKFLOW \
2025-12-04T08:16:03.9236131Z   -e GITHUB_JOB \
2025-12-04T08:16:03.9236407Z   -e GITHUB_RUN_ID \
2025-12-04T08:16:03.9236699Z   -e GITHUB_RUN_NUMBER \
2025-12-04T08:16:03.9236999Z   -e GITHUB_RUN_ATTEMPT \
2025-12-04T08:16:03.9237303Z   -e JOB_ID \
2025-12-04T08:16:03.9237563Z   -e JOB_NAME \
2025-12-04T08:16:03.9237826Z   -e BASE_SHA \
2025-12-04T08:16:03.9238074Z   -e BRANCH \
2025-12-04T08:16:03.9238326Z   -e SHA1 \
2025-12-04T08:16:03.9238583Z   -e AWS_DEFAULT_REGION \
2025-12-04T08:16:03.9238873Z   -e IN_WHEEL_TEST \
2025-12-04T08:16:03.9239156Z   -e SHARD_NUMBER \
2025-12-04T08:16:03.9239443Z   -e TEST_CONFIG \
2025-12-04T08:16:03.9239713Z   -e NUM_TEST_SHARDS \
2025-12-04T08:16:03.9240115Z   -e REENABLED_ISSUES \
2025-12-04T08:16:03.9240437Z   -e CONTINUE_THROUGH_ERROR \
2025-12-04T08:16:03.9240753Z   -e VERBOSE_TEST_LOGS \
2025-12-04T08:16:03.9241063Z   -e TEST_SHOWLOCALS \
2025-12-04T08:16:03.9241364Z   -e NO_TEST_TIMEOUT \
2025-12-04T08:16:03.9241657Z   -e NO_TD \
2025-12-04T08:16:03.9241908Z   -e TD_DISTRIBUTED \
2025-12-04T08:16:03.9242200Z   -e PR_LABELS \
2025-12-04T08:16:03.9242507Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-12-04T08:16:03.9242842Z   -e SCCACHE_BUCKET \
2025-12-04T08:16:03.9243134Z   -e SCCACHE_REGION \
2025-12-04T08:16:03.9243423Z   -e XLA_CUDA \
2025-12-04T08:16:03.9243705Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-12-04T08:16:03.9244076Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-12-04T08:16:03.9244525Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-12-04T08:16:03.9244913Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-12-04T08:16:03.9245253Z   -e HUGGING_FACE_HUB_TOKEN \
2025-12-04T08:16:03.9245598Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-12-04T08:16:03.9245955Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-12-04T08:16:03.9246277Z   -e DASHBOARD_TAG \
2025-12-04T08:16:03.9246576Z   -e ARTIFACTS_FILE_SUFFIX \
2025-12-04T08:16:03.9246946Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-12-04T08:16:03.9247361Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-12-04T08:16:03.9247785Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-12-04T08:16:03.9248189Z   --security-opt seccomp=unconfined \
2025-12-04T08:16:03.9248544Z   --cap-add=SYS_PTRACE \
2025-12-04T08:16:03.9248834Z   --ipc=host \
2025-12-04T08:16:03.9249099Z   ${SHM_OPTS} \
2025-12-04T08:16:03.9249356Z   --tty \
2025-12-04T08:16:03.9249584Z   --detach \
2025-12-04T08:16:03.9249857Z   --name="${container_name}" \
2025-12-04T08:16:03.9250177Z   ${JENKINS_USER} \
2025-12-04T08:16:03.9250523Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-12-04T08:16:03.9250937Z   -w /var/lib/jenkins/workspace \
2025-12-04T08:16:03.9251267Z   "${USED_IMAGE}" \
2025-12-04T08:16:03.9251556Z   ${DOCKER_SHELL_CMD}
2025-12-04T08:16:03.9251819Z )
2025-12-04T08:16:03.9252168Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-12-04T08:16:03.9252592Z 
2025-12-04T08:16:03.9252874Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T08:16:03.9253480Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-12-04T08:16:03.9254013Z fi
2025-12-04T08:16:03.9254234Z 
2025-12-04T08:16:03.9254751Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-12-04T08:16:03.9260290Z shell: /usr/bin/bash -e {0}
2025-12-04T08:16:03.9260572Z env:
2025-12-04T08:16:03.9260798Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:16:03.9261066Z   HAS_NVIDIA_GPU: false
2025-12-04T08:16:03.9261381Z   BUILD_ENVIRONMENT: linux-jammy-py3.14-clang12
2025-12-04T08:16:03.9261735Z   PR_NUMBER: 
2025-12-04T08:16:03.9261989Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-12-04T08:16:03.9262298Z   GITHUB_WORKFLOW: pull
2025-12-04T08:16:03.9262560Z   GITHUB_JOB: test
2025-12-04T08:16:03.9262803Z   GITHUB_RUN_ID: 19921726337
2025-12-04T08:16:03.9263072Z   GITHUB_RUN_NUMBER: 384157
2025-12-04T08:16:03.9263345Z   GITHUB_RUN_ATTEMPT: 1
2025-12-04T08:16:03.9263594Z   JOB_ID: 57112645056
2025-12-04T08:16:03.9263993Z   JOB_NAME: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T08:16:03.9264487Z   BRANCH: main
2025-12-04T08:16:03.9264760Z   SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:16:03.9265234Z   BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:16:03.9265599Z   TEST_CONFIG: dynamo_wrapped
2025-12-04T08:16:03.9265878Z   SHARD_NUMBER: 1
2025-12-04T08:16:03.9266122Z   NUM_TEST_SHARDS: 3
2025-12-04T08:16:03.9266349Z   EXTRA_FLAGS: 
2025-12-04T08:16:03.9266585Z   OP_BENCHMARK_TESTS: 
2025-12-04T08:16:03.9266842Z   REENABLED_ISSUES: 
2025-12-04T08:16:03.9267088Z   CONTINUE_THROUGH_ERROR: True
2025-12-04T08:16:03.9267378Z   VERBOSE_TEST_LOGS: False
2025-12-04T08:16:03.9267651Z   TEST_SHOWLOCALS: False
2025-12-04T08:16:03.9267909Z   NO_TEST_TIMEOUT: False
2025-12-04T08:16:03.9268162Z   NO_TD: False
2025-12-04T08:16:03.9268404Z   TD_DISTRIBUTED: False
2025-12-04T08:16:03.9268710Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-12-04T08:16:03.9269085Z   SCCACHE_REGION: us-east-1
2025-12-04T08:16:03.9269358Z   SHM_SIZE: 1g
2025-12-04T08:16:03.9270268Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:16:03.9271600Z   DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:16:03.9272432Z   XLA_CUDA: 
2025-12-04T08:16:03.9272799Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-12-04T08:16:03.9273270Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-12-04T08:16:03.9273589Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-12-04T08:16:03.9273903Z   DASHBOARD_TAG: 
2025-12-04T08:16:03.9274354Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-12-04T08:16:03.9274779Z   HUGGING_FACE_HUB_TOKEN: ***
2025-12-04T08:16:03.9275196Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-12-04T08:16:03.9275642Z   ARTIFACTS_FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57112645056
2025-12-04T08:16:03.9276100Z ##[endgroup]
2025-12-04T08:16:03.9298553Z + [[ dynamo_wrapped == \m\u\l\t\i\g\p\u ]]
2025-12-04T08:16:03.9298938Z + [[ linux-jammy-py3.14-clang12 == *onnx* ]]
2025-12-04T08:16:03.9299281Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T08:16:03.9301872Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-12-04T08:16:03.9377201Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.244 '
2025-12-04T08:16:03.9377556Z + TOTAL_MEMORY_WITH_SWAP=17
2025-12-04T08:16:03.9377868Z + [[ linux-jammy-py3.14-clang12 == *\s\3\9\0\x* ]]
2025-12-04T08:16:03.9378221Z + SHM_OPTS=--shm-size=1g
2025-12-04T08:16:03.9378498Z + JENKINS_USER='--user jenkins'
2025-12-04T08:16:03.9378772Z + DOCKER_SHELL_CMD=
2025-12-04T08:16:03.9379515Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:16:03.9386037Z +++ nproc --ignore=2
2025-12-04T08:16:03.9410922Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_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=14g --memory-swap=17g --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-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:16:08.9432658Z + container_name=95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T08:16:08.9433520Z + echo DOCKER_CONTAINER_ID=95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T08:16:08.9434325Z + [[ linux-jammy-py3.14-clang12 == *\s\3\9\0\x* ]]
2025-12-04T08:16:08.9438317Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl
2025-12-04T08:16:08.9441518Z + docker exec -t 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-12-04T08:16:09.4605322Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f)
2025-12-04T08:16:09.9546977Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0)
2025-12-04T08:16:09.9549994Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2)
2025-12-04T08:16:09.9554998Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (78.1.1)
2025-12-04T08:16:09.9558419Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3)
2025-12-04T08:16:09.9562294Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8)
2025-12-04T08:16:09.9565090Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6)
2025-12-04T08:16:09.9568570Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0)
2025-12-04T08:16:09.9581808Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0)
2025-12-04T08:16:09.9682285Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.3.4)
2025-12-04T08:16:09.9713662Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0)
2025-12-04T08:16:09.9757738Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3)
2025-12-04T08:16:10.1652700Z Installing collected packages: torch
2025-12-04T08:16:22.4219047Z Successfully installed torch-2.10.0a0+gitffd9b0f
2025-12-04T08:16:22.5088855Z + export TERM=vt100
2025-12-04T08:16:22.5090227Z + TERM=vt100
2025-12-04T08:16:22.5091424Z ++ dirname .ci/pytorch/test.sh
2025-12-04T08:16:22.5108054Z + source .ci/pytorch/common.sh
2025-12-04T08:16:22.5114296Z +++ dirname .ci/pytorch/common.sh
2025-12-04T08:16:22.5120817Z ++ source .ci/pytorch/common_utils.sh
2025-12-04T08:16:22.5125841Z +++ declare -f -t trap_add
2025-12-04T08:16:22.5131262Z ++ set -ex -o pipefail
2025-12-04T08:16:22.5131808Z ++ [[ linux-jammy-py3.14-clang12 == *rocm* ]]
2025-12-04T08:16:22.5132223Z ++ BUILD_TEST_LIBTORCH=0
2025-12-04T08:16:22.5140356Z ++ dirname .ci/pytorch/test.sh
2025-12-04T08:16:22.5147092Z + source .ci/pytorch/common-build.sh
2025-12-04T08:16:22.5152720Z ++ [[ linux-jammy-py3.14-clang12 != *win-* ]]
2025-12-04T08:16:22.5158441Z ++++ dirname .ci/pytorch/common-build.sh
2025-12-04T08:16:22.5165386Z +++ cd .ci/pytorch
2025-12-04T08:16:22.5165856Z +++ pwd -P
2025-12-04T08:16:22.5168041Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-12-04T08:16:22.5168573Z ++ [[ linux-jammy-py3.14-clang12 == *-pch* ]]
2025-12-04T08:16:22.5168888Z ++ which sccache
2025-12-04T08:16:22.5187425Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-12-04T08:16:22.5188105Z ++ sccache --stop-server
2025-12-04T08:16:22.5239265Z ++ true
2025-12-04T08:16:22.5239757Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-12-04T08:16:22.5257960Z ++ trap_add sccache_epilogue EXIT
2025-12-04T08:16:22.5258579Z ++ trap_add_cmd=sccache_epilogue
2025-12-04T08:16:22.5258873Z ++ shift
2025-12-04T08:16:22.5259100Z ++ for trap_add_name in "$@"
2025-12-04T08:16:22.5263878Z ++++ trap -p EXIT
2025-12-04T08:16:22.5266717Z +++ eval 'extract_trap_cmd '
2025-12-04T08:16:22.5267081Z ++++ extract_trap_cmd
2025-12-04T08:16:22.5267344Z ++++ printf '%s\n' ''
2025-12-04T08:16:22.5271292Z +++ printf '%s\n' sccache_epilogue
2025-12-04T08:16:22.5273162Z ++ trap -- '
2025-12-04T08:16:22.5273582Z sccache_epilogue' EXIT
2025-12-04T08:16:22.5274076Z ++ [[ -n 1 ]]
2025-12-04T08:16:22.5274774Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-12-04T08:16:22.5275703Z Skipping sccache server initialization, setting environment variables
2025-12-04T08:16:22.5276158Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-12-04T08:16:22.5276462Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-12-04T08:16:22.5276824Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T08:16:22.5277271Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T08:16:22.5282583Z ++ export RUST_LOG=sccache::server=error
2025-12-04T08:16:22.5282965Z ++ RUST_LOG=sccache::server=error
2025-12-04T08:16:22.5283261Z ++ sccache --zero-stats
2025-12-04T08:16:22.6533197Z Statistics zeroed.
2025-12-04T08:16:22.6534693Z ++ which ccache
2025-12-04T08:16:22.6549871Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]]
2025-12-04T08:16:22.6550646Z + [[ linux-jammy-py3.14-clang12 != *s390x* ]]
2025-12-04T08:16:22.6550995Z + [[ -d /var/lib/jenkins/workspace ]]
2025-12-04T08:16:22.6553277Z ++ stat -c %u /var/lib/jenkins/workspace
2025-12-04T08:16:22.6611369Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-12-04T08:16:22.6611749Z + trap_add cleanup_workspace EXIT
2025-12-04T08:16:22.6612068Z + trap_add_cmd=cleanup_workspace
2025-12-04T08:16:22.6612353Z + shift
2025-12-04T08:16:22.6612703Z + for trap_add_name in "$@"
2025-12-04T08:16:22.6618580Z +++ trap -p EXIT
2025-12-04T08:16:22.6621149Z ++ eval 'extract_trap_cmd trap -- '\''
2025-12-04T08:16:22.6621513Z sccache_epilogue'\'' EXIT'
2025-12-04T08:16:22.6621803Z +++ extract_trap_cmd trap -- '
2025-12-04T08:16:22.6622080Z sccache_epilogue' EXIT
2025-12-04T08:16:22.6622333Z +++ printf '%s\n' '
2025-12-04T08:16:22.6622572Z sccache_epilogue'
2025-12-04T08:16:22.6623772Z ++ printf '%s\n' cleanup_workspace
2025-12-04T08:16:22.6624165Z + trap -- '
2025-12-04T08:16:22.6624415Z sccache_epilogue
2025-12-04T08:16:22.6624648Z cleanup_workspace' EXIT
2025-12-04T08:16:22.6624963Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-12-04T08:16:23.3807134Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-12-04T08:16:23.3928695Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]]
2025-12-04T08:16:23.3929097Z + echo 'Environment variables:'
2025-12-04T08:16:23.3929393Z Environment variables:
2025-12-04T08:16:23.3929644Z + env
2025-12-04T08:16:23.3944575Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:16:23.3945335Z CONTINUE_THROUGH_ERROR=True
2025-12-04T08:16:23.3945949Z BUILD_ENVIRONMENT=linux-jammy-py3.14-clang12
2025-12-04T08:16:23.3946978Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T08:16:23.3947285Z HOSTNAME=95e7a813e39d
2025-12-04T08:16:23.3948127Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_8341e4cf-f693-4ed8-8257-dea17aa8b4b4
2025-12-04T08:16:23.3948979Z GITHUB_ACTION=__run_3
2025-12-04T08:16:23.3949275Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T08:16:23.3949630Z GITHUB_RUN_NUMBER=384157
2025-12-04T08:16:23.3949967Z TEST_CONFIG=dynamo_wrapped
2025-12-04T08:16:23.3950470Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T08:16:23.3950813Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T08:16:23.3951246Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T08:16:23.3951715Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T08:16:23.3952136Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-12-04T08:16:23.3952745Z GITHUB_REF_TYPE=branch
2025-12-04T08:16:23.3953107Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:16:23.3953455Z XLA_CUDA=
2025-12-04T08:16:23.3953687Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T08:16:23.3954101Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T08:16:23.3954562Z ***
2025-12-04T08:16:23.3954816Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T08:16:23.3955136Z GITHUB_ACTIONS=true
2025-12-04T08:16:23.3955431Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T08:16:23.3956040Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:16:23.3956489Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:16:23.3957019Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main
2025-12-04T08:16:23.3957568Z UCC_HOME=/usr
2025-12-04T08:16:23.3957798Z VERBOSE_TEST_LOGS=False
2025-12-04T08:16:23.3958113Z GITHUB_REF=refs/heads/main
2025-12-04T08:16:23.3958386Z SHARD_NUMBER=1
2025-12-04T08:16:23.3958641Z GITHUB_REF_PROTECTED=true
2025-12-04T08:16:23.3958953Z HOME=/var/lib/jenkins
2025-12-04T08:16:23.3959227Z GITHUB_API_URL=https://api.github.com
2025-12-04T08:16:23.3959622Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-12-04T08:16:23.3959925Z UCX_COMMIT=
2025-12-04T08:16:23.3960137Z USE_SYSTEM_NCCL=1
2025-12-04T08:16:23.3960422Z NUM_TEST_SHARDS=3
2025-12-04T08:16:23.3960655Z UCX_HOME=/usr
2025-12-04T08:16:23.3961290Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_8341e4cf-f693-4ed8-8257-dea17aa8b4b4
2025-12-04T08:16:23.3962186Z JOB_NAME=linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T08:16:23.3963060Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_8341e4cf-f693-4ed8-8257-dea17aa8b4b4
2025-12-04T08:16:23.3963973Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T08:16:23.3964532Z GITHUB_EVENT_NAME=push
2025-12-04T08:16:23.3964842Z DASHBOARD_TAG=
2025-12-04T08:16:23.3965078Z GITHUB_RUN_ID=19921726337
2025-12-04T08:16:23.3965336Z INSTALLED_OPENBLAS=
2025-12-04T08:16:23.3966031Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_8341e4cf-f693-4ed8-8257-dea17aa8b4b4
2025-12-04T08:16:23.3966812Z GITHUB_ACTOR=pytorchmergebot
2025-12-04T08:16:23.3967081Z PR_NUMBER=
2025-12-04T08:16:23.3967297Z DESIRED_CUDA=
2025-12-04T08:16:23.3967527Z GITHUB_RUN_ATTEMPT=1
2025-12-04T08:16:23.3967778Z ANACONDA_PYTHON_VERSION=3.14
2025-12-04T08:16:23.3968190Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T08:16:23.3968561Z TERM=vt100
2025-12-04T08:16:23.3968776Z INSTALLED_VISION=yes
2025-12-04T08:16:23.3969030Z BRANCH=main
2025-12-04T08:16:23.3969263Z SCCACHE_REGION=us-east-1
2025-12-04T08:16:23.3969531Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T08:16:23.3969824Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T08:16:23.3970152Z CUDA_PATH=/usr/local/cuda
2025-12-04T08:16:23.3970689Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T08:16:23.3971291Z GITHUB_SERVER_URL=https://github.com
2025-12-04T08:16:23.3971600Z UCC_COMMIT=
2025-12-04T08:16:23.3971816Z REENABLED_ISSUES=
2025-12-04T08:16:23.3972035Z DOCS=
2025-12-04T08:16:23.3972234Z SHLVL=1
2025-12-04T08:16:23.3972434Z MAX_JOBS=6
2025-12-04T08:16:23.3972647Z GITHUB_ACTOR_ID=97764156
2025-12-04T08:16:23.3973006Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:16:23.3973408Z GITHUB_REF_NAME=main
2025-12-04T08:16:23.3973816Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T08:16:23.3974288Z GITHUB_JOB=test
2025-12-04T08:16:23.3974523Z NO_TEST_TIMEOUT=False
2025-12-04T08:16:23.3974878Z TD_DISTRIBUTED=False
2025-12-04T08:16:23.3988026Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T08:16:23.3988618Z GITHUB_RETENTION_DAYS=90
2025-12-04T08:16:23.3989024Z OPENSSL_DIR=/opt/openssl
2025-12-04T08:16:23.3989313Z GITHUB_ACTION_REPOSITORY=
2025-12-04T08:16:23.3990228Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T08:16:23.3991074Z GITHUB_BASE_REF=
2025-12-04T08:16:23.3991304Z INSTALLED_ACL=
2025-12-04T08:16:23.3991693Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-linux.2xlarge_57112645056
2025-12-04T08:16:23.3992143Z CI=true
2025-12-04T08:16:23.3992362Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T08:16:23.3992700Z RUST_LOG=sccache::server=error
2025-12-04T08:16:23.3992984Z JOB_ID=57112645056
2025-12-04T08:16:23.3993389Z GITHUB_HEAD_REF=
2025-12-04T08:16:23.3993633Z GITHUB_ACTION_REF=
2025-12-04T08:16:23.3993936Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T08:16:23.3994377Z TEST_SHOWLOCALS=False
2025-12-04T08:16:23.3994645Z GITHUB_WORKFLOW=pull
2025-12-04T08:16:23.3994921Z DEBIAN_FRONTEND=noninteractive
2025-12-04T08:16:23.3995565Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_8341e4cf-f693-4ed8-8257-dea17aa8b4b4
2025-12-04T08:16:23.3996234Z NO_TD=False
2025-12-04T08:16:23.3996479Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T08:16:23.3996799Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T08:16:23.3997111Z _=/usr/bin/env
2025-12-04T08:16:23.3997457Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-12-04T08:16:23.4151896Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch
2025-12-04T08:16:23.4153017Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin
2025-12-04T08:16:23.4154078Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib
2025-12-04T08:16:23.4155113Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/test
2025-12-04T08:16:23.4155584Z + BUILD_DIR=build
2025-12-04T08:16:23.4155831Z + BUILD_RENAMED_DIR=build_renamed
2025-12-04T08:16:23.4156138Z + BUILD_BIN_DIR=build/bin
2025-12-04T08:16:23.4156413Z + SHARD_NUMBER=1
2025-12-04T08:16:23.4156638Z + NUM_TEST_SHARDS=3
2025-12-04T08:16:23.4156907Z + export TORCH_SERIALIZATION_DEBUG=1
2025-12-04T08:16:23.4157233Z + TORCH_SERIALIZATION_DEBUG=1
2025-12-04T08:16:23.4157512Z + export VALGRIND=ON
2025-12-04T08:16:23.4157765Z + VALGRIND=ON
2025-12-04T08:16:23.4158032Z + [[ linux-jammy-py3.14-clang12 == *clang9* ]]
2025-12-04T08:16:23.4158388Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]]
2025-12-04T08:16:23.4158807Z + detect_cuda_arch
2025-12-04T08:16:23.4159119Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]]
2025-12-04T08:16:23.4159478Z + [[ linux-jammy-py3.14-clang12 == *s390x* ]]
2025-12-04T08:16:23.4159800Z + [[ 0 == \1 ]]
2025-12-04T08:16:23.4160026Z + [[ True == \1 ]]
2025-12-04T08:16:23.4160298Z + [[ linux-jammy-py3.14-clang12 != *bazel* ]]
2025-12-04T08:16:23.4160654Z ++ realpath build/custom_test_artifacts
2025-12-04T08:16:23.4177426Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-12-04T08:16:23.4178227Z + [[ -n '' ]]
2025-12-04T08:16:23.4178684Z + echo 'Environment variables'
2025-12-04T08:16:23.4179023Z Environment variables
2025-12-04T08:16:23.4179272Z + env
2025-12-04T08:16:23.4194191Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:16:23.4194992Z CONTINUE_THROUGH_ERROR=True
2025-12-04T08:16:23.4195446Z BUILD_ENVIRONMENT=linux-jammy-py3.14-clang12
2025-12-04T08:16:23.4196306Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T08:16:23.4196810Z HOSTNAME=95e7a813e39d
2025-12-04T08:16:23.4197668Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_8341e4cf-f693-4ed8-8257-dea17aa8b4b4
2025-12-04T08:16:23.4198360Z GITHUB_ACTION=__run_3
2025-12-04T08:16:23.4198640Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T08:16:23.4198960Z GITHUB_RUN_NUMBER=384157
2025-12-04T08:16:23.4199407Z TEST_CONFIG=dynamo_wrapped
2025-12-04T08:16:23.4199702Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T08:16:23.4200040Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T08:16:23.4200366Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T08:16:23.4200970Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T08:16:23.4201436Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-12-04T08:16:23.4201761Z GITHUB_REF_TYPE=branch
2025-12-04T08:16:23.4202058Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:16:23.4202410Z XLA_CUDA=
2025-12-04T08:16:23.4202642Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T08:16:23.4203202Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T08:16:23.4203506Z ***
2025-12-04T08:16:23.4203731Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T08:16:23.4204018Z GITHUB_ACTIONS=true
2025-12-04T08:16:23.4204417Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T08:16:23.4205042Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:16:23.4205448Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:16:23.4205984Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main
2025-12-04T08:16:23.4206454Z UCC_HOME=/usr
2025-12-04T08:16:23.4206695Z TORCH_SERIALIZATION_DEBUG=1
2025-12-04T08:16:23.4206980Z VERBOSE_TEST_LOGS=False
2025-12-04T08:16:23.4207229Z GITHUB_REF=refs/heads/main
2025-12-04T08:16:23.4207495Z SHARD_NUMBER=1
2025-12-04T08:16:23.4207760Z GITHUB_REF_PROTECTED=true
2025-12-04T08:16:23.4208188Z HOME=/var/lib/jenkins
2025-12-04T08:16:23.4208477Z GITHUB_API_URL=https://api.github.com
2025-12-04T08:16:23.4208821Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-12-04T08:16:23.4209106Z UCX_COMMIT=
2025-12-04T08:16:23.4209324Z USE_SYSTEM_NCCL=1
2025-12-04T08:16:23.4209566Z NUM_TEST_SHARDS=3
2025-12-04T08:16:23.4209785Z UCX_HOME=/usr
2025-12-04T08:16:23.4210376Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_8341e4cf-f693-4ed8-8257-dea17aa8b4b4
2025-12-04T08:16:23.4211380Z JOB_NAME=linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T08:16:23.4212244Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_8341e4cf-f693-4ed8-8257-dea17aa8b4b4
2025-12-04T08:16:23.4213077Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T08:16:23.4213601Z GITHUB_EVENT_NAME=push
2025-12-04T08:16:23.4213860Z DASHBOARD_TAG=
2025-12-04T08:16:23.4214091Z GITHUB_RUN_ID=19921726337
2025-12-04T08:16:23.4214466Z INSTALLED_OPENBLAS=
2025-12-04T08:16:23.4215186Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_8341e4cf-f693-4ed8-8257-dea17aa8b4b4
2025-12-04T08:16:23.4215897Z GITHUB_ACTOR=pytorchmergebot
2025-12-04T08:16:23.4216177Z PR_NUMBER=
2025-12-04T08:16:23.4216395Z DESIRED_CUDA=
2025-12-04T08:16:23.4216629Z GITHUB_RUN_ATTEMPT=1
2025-12-04T08:16:23.4216869Z VALGRIND=ON
2025-12-04T08:16:23.4217104Z ANACONDA_PYTHON_VERSION=3.14
2025-12-04T08:16:23.4217464Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T08:16:23.4217811Z TERM=vt100
2025-12-04T08:16:23.4218135Z INSTALLED_VISION=yes
2025-12-04T08:16:23.4218555Z BRANCH=main
2025-12-04T08:16:23.4218789Z SCCACHE_REGION=us-east-1
2025-12-04T08:16:23.4219074Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T08:16:23.4219365Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T08:16:23.4219623Z CUDA_PATH=/usr/local/cuda
2025-12-04T08:16:23.4220164Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T08:16:23.4220771Z GITHUB_SERVER_URL=https://github.com
2025-12-04T08:16:23.4221069Z UCC_COMMIT=
2025-12-04T08:16:23.4221291Z REENABLED_ISSUES=
2025-12-04T08:16:23.4221521Z DOCS=
2025-12-04T08:16:23.4221757Z SHLVL=1
2025-12-04T08:16:23.4222105Z MAX_JOBS=6
2025-12-04T08:16:23.4222331Z GITHUB_ACTOR_ID=97764156
2025-12-04T08:16:23.4222681Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:16:23.4223099Z GITHUB_REF_NAME=main
2025-12-04T08:16:23.4223599Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T08:16:23.4224053Z GITHUB_JOB=test
2025-12-04T08:16:23.4224281Z NO_TEST_TIMEOUT=False
2025-12-04T08:16:23.4224544Z TD_DISTRIBUTED=False
2025-12-04T08:16:23.4224817Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T08:16:23.4225116Z GITHUB_RETENTION_DAYS=90
2025-12-04T08:16:23.4225565Z OPENSSL_DIR=/opt/openssl
2025-12-04T08:16:23.4225858Z GITHUB_ACTION_REPOSITORY=
2025-12-04T08:16:23.4226652Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T08:16:23.4227490Z GITHUB_BASE_REF=
2025-12-04T08:16:23.4227730Z INSTALLED_ACL=
2025-12-04T08:16:23.4228094Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-linux.2xlarge_57112645056
2025-12-04T08:16:23.4228556Z CI=true
2025-12-04T08:16:23.4228803Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T08:16:23.4229396Z RUST_LOG=sccache::server=error
2025-12-04T08:16:23.4229670Z JOB_ID=57112645056
2025-12-04T08:16:23.4230030Z GITHUB_HEAD_REF=
2025-12-04T08:16:23.4230278Z GITHUB_ACTION_REF=
2025-12-04T08:16:23.4230563Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T08:16:23.4230925Z TEST_SHOWLOCALS=False
2025-12-04T08:16:23.4231185Z GITHUB_WORKFLOW=pull
2025-12-04T08:16:23.4231440Z DEBIAN_FRONTEND=noninteractive
2025-12-04T08:16:23.4232091Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_8341e4cf-f693-4ed8-8257-dea17aa8b4b4
2025-12-04T08:16:23.4232974Z NO_TD=False
2025-12-04T08:16:23.4233201Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T08:16:23.4233516Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T08:16:23.4233836Z _=/usr/bin/env
2025-12-04T08:16:23.4234071Z + echo 'Testing pytorch'
2025-12-04T08:16:23.4234326Z Testing pytorch
2025-12-04T08:16:23.4234574Z + export LANG=C.UTF-8
2025-12-04T08:16:23.4234825Z + LANG=C.UTF-8
2025-12-04T08:16:23.4238286Z + PR_NUMBER=
2025-12-04T08:16:23.4238794Z + [[ dynamo_wrapped == \d\e\f\a\u\l\t ]]
2025-12-04T08:16:23.4239340Z + [[ dynamo_wrapped == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-12-04T08:16:23.4239835Z + [[ dynamo_wrapped == \s\l\o\w ]]
2025-12-04T08:16:23.4241116Z + [[ linux-jammy-py3.14-clang12 == *slow-gradcheck* ]]
2025-12-04T08:16:23.4241798Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]]
2025-12-04T08:16:23.4242160Z + [[ linux-jammy-py3.14-clang12 == *rocm* ]]
2025-12-04T08:16:23.4242500Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]]
2025-12-04T08:16:23.4242846Z + [[ dynamo_wrapped == *crossref* ]]
2025-12-04T08:16:23.4243184Z + [[ linux-jammy-py3.14-clang12 == *rocm* ]]
2025-12-04T08:16:23.4243522Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]]
2025-12-04T08:16:23.4243917Z + [[ linux-jammy-py3.14-clang12 != *-bazel-* ]]
2025-12-04T08:16:23.4244348Z + pip_install ninja==1.10.2
2025-12-04T08:16:23.4244716Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-12-04T08:16:23.4245212Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-12-04T08:16:23.8679231Z Collecting ninja==1.10.2
2025-12-04T08:16:23.8929553Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-12-04T08:16:23.9041397Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-12-04T08:16:24.0714499Z Installing collected packages: ninja
2025-12-04T08:16:24.0714912Z   Attempting uninstall: ninja
2025-12-04T08:16:24.0743849Z     Found existing installation: ninja 1.11.1.4
2025-12-04T08:16:24.0764210Z     Uninstalling ninja-1.11.1.4:
2025-12-04T08:16:24.0826294Z       Successfully uninstalled ninja-1.11.1.4
2025-12-04T08:16:24.1050656Z Successfully installed ninja-1.10.2
2025-12-04T08:16:24.1753807Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T08:16:24.1756014Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T08:16:24.1757333Z + [[ linux-jammy-py3.14-clang12 == *aarch64* ]]
2025-12-04T08:16:24.1757779Z + [[ linux-jammy-py3.14-clang12 == *asan* ]]
2025-12-04T08:16:24.1758210Z + [[ linux-jammy-py3.14-clang12 == *-debug* ]]
2025-12-04T08:16:24.1758569Z + [[ linux-jammy-py3.14-clang12 != *-bazel-* ]]
2025-12-04T08:16:24.1759162Z + echo 'We are not in debug mode: linux-jammy-py3.14-clang12. Expect the assertion to pass'
2025-12-04T08:16:24.1759887Z We are not in debug mode: linux-jammy-py3.14-clang12. Expect the assertion to pass
2025-12-04T08:16:24.1760388Z + cd test
2025-12-04T08:16:24.1760749Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-12-04T08:16:25.5680729Z + [[ dynamo_wrapped == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-12-04T08:16:25.5681240Z + [[ dynamo_wrapped == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-12-04T08:16:25.5682024Z + [[ dynamo_wrapped == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-12-04T08:16:25.5685919Z + DYNAMO_BENCHMARK_FLAGS=()
2025-12-04T08:16:25.5687083Z + [[ dynamo_wrapped == *pr_time_benchmarks* ]]
2025-12-04T08:16:25.5687597Z + [[ dynamo_wrapped == *dynamo_eager* ]]
2025-12-04T08:16:25.5688023Z + [[ dynamo_wrapped == *aot_eager* ]]
2025-12-04T08:16:25.5688338Z + [[ dynamo_wrapped == *aot_inductor* ]]
2025-12-04T08:16:25.5688746Z + [[ dynamo_wrapped == *max_autotune_inductor* ]]
2025-12-04T08:16:25.5689109Z + [[ dynamo_wrapped == *inductor* ]]
2025-12-04T08:16:25.5689439Z + [[ dynamo_wrapped == *dynamic* ]]
2025-12-04T08:16:25.5689781Z + [[ dynamo_wrapped == *cpu* ]]
2025-12-04T08:16:25.5690086Z + [[ dynamo_wrapped == *xpu* ]]
2025-12-04T08:16:25.5690451Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-12-04T08:16:25.5720901Z + [[ linux-jammy-py3.14-clang12 == *libtorch* ]]
2025-12-04T08:16:25.5721304Z + [[ linux-jammy-py3.14-clang12 == *-bazel-* ]]
2025-12-04T08:16:25.5724122Z + cd test
2025-12-04T08:16:25.5725126Z + python -c 'import torch; print(torch.__config__.show())'
2025-12-04T08:16:26.6552378Z PyTorch built with:
2025-12-04T08:16:26.6552712Z   - GCC 4.2
2025-12-04T08:16:26.6552939Z   - C++ Version: 201703
2025-12-04T08:16:26.6553197Z   - clang 12.0.1
2025-12-04T08:16:26.6553752Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T08:16:26.6554503Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T08:16:26.6554946Z   - OpenMP 201811
2025-12-04T08:16:26.6555219Z   - LAPACK is enabled (usually provided by MKL)
2025-12-04T08:16:26.6555564Z   - NNPACK is enabled
2025-12-04T08:16:26.6555834Z   - CPU capability usage: AVX512
2025-12-04T08:16:26.6561328Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -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, 
2025-12-04T08:16:26.6566954Z 
2025-12-04T08:16:26.9495460Z + cd test
2025-12-04T08:16:26.9496234Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-12-04T08:16:28.0156039Z ATen/Parallel:
2025-12-04T08:16:28.0156545Z 	at::get_num_threads() : 4
2025-12-04T08:16:28.0156867Z 	at::get_num_interop_threads() : 4
2025-12-04T08:16:28.0157180Z OpenMP 201811
2025-12-04T08:16:28.0157423Z 	omp_get_max_threads() : 4
2025-12-04T08:16:28.0158005Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T08:16:28.0158634Z 	mkl_get_max_threads() : 4
2025-12-04T08:16:28.0159038Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T08:16:28.0159495Z std::thread::hardware_concurrency() : 8
2025-12-04T08:16:28.0159830Z Environment variables:
2025-12-04T08:16:28.0160103Z 	OMP_NUM_THREADS : [not set]
2025-12-04T08:16:28.0160380Z 	MKL_NUM_THREADS : [not set]
2025-12-04T08:16:28.0160945Z ATen parallel backend: OpenMP
2025-12-04T08:16:28.0161135Z 
2025-12-04T08:16:28.2871552Z + [[ dynamo_wrapped == *numpy_2* ]]
2025-12-04T08:16:28.2872359Z + [[ linux-jammy-py3.14-clang12 == *aarch64* ]]
2025-12-04T08:16:28.2872735Z + [[ dynamo_wrapped == *backward* ]]
2025-12-04T08:16:28.2873102Z + [[ dynamo_wrapped == *libtorch_agnostic_targetting* ]]
2025-12-04T08:16:28.2873489Z + [[ dynamo_wrapped == *xla* ]]
2025-12-04T08:16:28.2873796Z + [[ dynamo_wrapped == *vllm* ]]
2025-12-04T08:16:28.2874097Z + [[ dynamo_wrapped == *executorch* ]]
2025-12-04T08:16:28.2874437Z + [[ dynamo_wrapped == \j\i\t\_\l\e\g\a\c\y ]]
2025-12-04T08:16:28.2874802Z + [[ dynamo_wrapped == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-12-04T08:16:28.2875190Z + [[ linux-jammy-py3.14-clang12 == *libtorch* ]]
2025-12-04T08:16:28.2875538Z + [[ dynamo_wrapped == distributed ]]
2025-12-04T08:16:28.2875933Z + [[ dynamo_wrapped == *operator_benchmark* ]]
2025-12-04T08:16:28.2876317Z + [[ dynamo_wrapped == *operator_microbenchmark* ]]
2025-12-04T08:16:28.2876961Z + [[ dynamo_wrapped == *attention_microbenchmark* ]]
2025-12-04T08:16:28.2877589Z + [[ dynamo_wrapped == *inductor_distributed* ]]
2025-12-04T08:16:28.2877955Z + [[ dynamo_wrapped == *inductor-halide* ]]
2025-12-04T08:16:28.2878295Z + [[ dynamo_wrapped == *inductor-pallas* ]]
2025-12-04T08:16:28.2878658Z + [[ dynamo_wrapped == *inductor-triton-cpu* ]]
2025-12-04T08:16:28.2879057Z + [[ dynamo_wrapped == *inductor-micro-benchmark* ]]
2025-12-04T08:16:28.2879474Z + [[ dynamo_wrapped == *aoti_cross_compile_for_windows* ]]
2025-12-04T08:16:28.2879870Z + [[ dynamo_wrapped == *huggingface* ]]
2025-12-04T08:16:28.2880445Z + [[ dynamo_wrapped == *timm* ]]
2025-12-04T08:16:28.2880764Z + [[ dynamo_wrapped == cachebench ]]
2025-12-04T08:16:28.2881089Z + [[ dynamo_wrapped == verify_cachebench ]]
2025-12-04T08:16:28.2881434Z + [[ dynamo_wrapped == *torchbench* ]]
2025-12-04T08:16:28.2881787Z + [[ dynamo_wrapped == *inductor_cpp_wrapper* ]]
2025-12-04T08:16:28.2882139Z + [[ dynamo_wrapped == *inductor_core* ]]
2025-12-04T08:16:28.2882482Z + [[ dynamo_wrapped == *inductor* ]]
2025-12-04T08:16:28.2882796Z + [[ dynamo_wrapped == *einops* ]]
2025-12-04T08:16:28.2883102Z + [[ dynamo_wrapped == *dynamo_core* ]]
2025-12-04T08:16:28.2883439Z + [[ dynamo_wrapped == *dynamo_wrapped* ]]
2025-12-04T08:16:28.2883761Z + install_torchvision
2025-12-04T08:16:28.2884001Z + local orig_preload
2025-12-04T08:16:28.2884254Z + local commit
2025-12-04T08:16:28.2884500Z ++ get_pinned_commit vision
2025-12-04T08:16:28.2884805Z ++ cat .github/ci_commit_pins/vision.txt
2025-12-04T08:16:28.2907378Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:16:28.2907938Z + orig_preload=
2025-12-04T08:16:28.2908263Z + '[' -n '' ']'
2025-12-04T08:16:28.2908607Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]]
2025-12-04T08:16:28.2909358Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision
2025-12-04T08:16:28.2910354Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:16:28.2910973Z + local wheel_dir=dist/vision
2025-12-04T08:16:28.2911480Z + local found_whl=0
2025-12-04T08:16:28.2911749Z + for file in "${wheel_dir}"/*.whl
2025-12-04T08:16:28.2912057Z + [[ -f dist/vision/*.whl ]]
2025-12-04T08:16:28.2912314Z + '[' 0 == 0 ']'
2025-12-04T08:16:28.2913014Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:16:28.5857279Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:16:28.5862614Z   Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-3u7b99l8
2025-12-04T08:16:28.6033839Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-3u7b99l8
2025-12-04T08:16:30.3205545Z   Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e'
2025-12-04T08:16:30.3225058Z   Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:16:30.4261372Z   Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T08:16:32.0723042Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T08:16:32.0747013Z [?25hBuilding wheels for collected packages: torchvision
2025-12-04T08:18:06.9470755Z   Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
2025-12-04T08:18:06.9509207Z [?25h  Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl size=1162568 sha256=419ab4781ebb2c1dea2beaf3cdc481ec0a57907ddd823d52e30b3f2b42b7d028
2025-12-04T08:18:06.9511913Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/81/ea/ac/4eea705c7dceb07802aebda79ffca24339b243347a10b2d5c2
2025-12-04T08:18:06.9546142Z Successfully built torchvision
2025-12-04T08:18:07.0466333Z + for file in "${wheel_dir}"/*.whl
2025-12-04T08:18:07.0466980Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl
2025-12-04T08:18:07.0467746Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl')
2025-12-04T08:18:07.0468272Z + local args
2025-12-04T08:18:07.0468681Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl == *\ * ]]
2025-12-04T08:18:07.0469230Z + for path in "${args[@]}"
2025-12-04T08:18:07.0469766Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl'
2025-12-04T08:18:07.0470611Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl
2025-12-04T08:18:07.0471491Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl
2025-12-04T08:18:07.3781700Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl
2025-12-04T08:18:07.3876612Z Installing collected packages: torchvision
2025-12-04T08:18:07.9072521Z Successfully installed torchvision-0.25.0a0+617079d
2025-12-04T08:18:07.9613703Z + '[' -n '' ']'
2025-12-04T08:18:07.9614098Z + test_dynamo_wrapped_shard 1
2025-12-04T08:18:07.9614539Z + [[ -z 3 ]]
2025-12-04T08:18:07.9614961Z + python tools/dynamo/verify_dynamo.py
2025-12-04T08:18:09.0499502Z Python version: 3.14.1
2025-12-04T08:18:09.0500107Z `torch` version: 2.10.0a0+gitffd9b0f
2025-12-04T08:18:09.0500599Z CUDA version: None
2025-12-04T08:18:09.0500968Z ROCM version: None
2025-12-04T08:18:09.0501202Z 
2025-12-04T08:18:10.7090236Z CUDA not available -- skipping CUDA check on eager backend
2025-12-04T08:18:10.7090574Z 
2025-12-04T08:18:11.3510385Z CUDA not available -- skipping CUDA check on aot_eager backend
2025-12-04T08:18:11.3510740Z 
2025-12-04T08:18:22.6812160Z CUDA not available -- skipping CUDA check on inductor backend
2025-12-04T08:18:22.6812551Z 
2025-12-04T08:18:22.6812691Z All required checks passed
2025-12-04T08:18:23.4674731Z + python test/run_test.py --dynamo --exclude-inductor-tests --exclude-jit-executor --exclude-distributed-tests --exclude-torch-export-tests --exclude-aot-dispatch-tests --exclude-quantization-tests --shard 1 3 --verbose --upload-artifacts-while-running
2025-12-04T08:18:27.4739250Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T08:18:27.5328945Z Ignoring disabled issues:  ['']
2025-12-04T08:18:27.5429209Z Found test times from artifacts
2025-12-04T08:18:27.5818838Z Found test times from artifacts
2025-12-04T08:18:27.5832158Z Running all tests
2025-12-04T08:18:27.5974675Z Running parallel tests on 3 processes
2025-12-04T08:18:27.5979897Z Name: tests to run (est. time: 95.69min)
2025-12-04T08:18:27.5980452Z   Serial tests (33):
2025-12-04T08:18:27.5981190Z     dynamo/test_fake_distributed 1/1
2025-12-04T08:18:27.5981505Z     test_torch 1/2
2025-12-04T08:18:27.5981809Z     test_utils 1/1
2025-12-04T08:18:27.5982064Z     test_python_dispatch 1/1
2025-12-04T08:18:27.5982366Z     test_tensor_creation_ops 1/1
2025-12-04T08:18:27.5982722Z     test_nn 2/3
2025-12-04T08:18:27.5982964Z     test_multiprocessing_spawn 1/1
2025-12-04T08:18:27.5983333Z     test_overrides 1/1
2025-12-04T08:18:27.5983596Z     test_reductions 2/2
2025-12-04T08:18:27.5983835Z     doctests 1/1
2025-12-04T08:18:27.5984158Z     test_privateuseone_python_backend 1/1
2025-12-04T08:18:27.5984492Z     test_cpp_api_parity 1/1
2025-12-04T08:18:27.5984780Z     test_autograd_fallback 1/1
2025-12-04T08:18:27.5985111Z     test_autocast 1/1
2025-12-04T08:18:27.5985363Z     test_jit_disabled 1/1
2025-12-04T08:18:27.5985696Z     test_cpp_extensions_mtia_backend 1/1
2025-12-04T08:18:27.5986045Z     test_cpp_extensions_stream_and_event 1/1
2025-12-04T08:18:27.5986426Z     test_dispatch 1/1
2025-12-04T08:18:27.5986687Z     nn/test_convolution 1/2
2025-12-04T08:18:27.5986965Z     nn/test_convolution 2/2
2025-12-04T08:18:27.5987307Z     test_cpp_extensions_jit 1/1
2025-12-04T08:18:27.5987591Z     test_cuda_trace 1/1
2025-12-04T08:18:27.5987844Z     test_native_mha 1/1
2025-12-04T08:18:27.5988170Z     test_cuda_nvml_based_avail 1/1
2025-12-04T08:18:27.5988477Z     test_mobile_optimizer 1/1
2025-12-04T08:18:27.5988818Z     test_cuda_primary_ctx 1/1
2025-12-04T08:18:27.5989130Z     distributions/test_distributions 1/3
2025-12-04T08:18:27.5989520Z     distributions/test_distributions 2/3
2025-12-04T08:18:27.5989875Z     distributions/test_distributions 3/3
2025-12-04T08:18:27.5990207Z     test_autoload_disable 1/1
2025-12-04T08:18:27.5990630Z     test_autoload_enable 1/1
2025-12-04T08:18:27.5991007Z     test_cpp_extensions_aot_ninja 1/1
2025-12-04T08:18:27.5991508Z     test_cpp_extensions_aot_no_ninja 1/1
2025-12-04T08:18:27.5991834Z   Parallel tests (62):
2025-12-04T08:18:27.5992271Z     dynamo/test_dynamic_shapes 1/1
2025-12-04T08:18:27.5992864Z     dynamo/test_functions 1/1
2025-12-04T08:18:27.5993171Z     dynamo/test_sets 1/1
2025-12-04T08:18:27.5993433Z     test_jit_fuser_te 1/1
2025-12-04T08:18:27.5993738Z     dynamo/test_activation_checkpointing 1/1
2025-12-04T08:18:27.5994085Z     dynamo/test_higher_order_ops 1/1
2025-12-04T08:18:27.5994467Z     dynamo/test_deque_reconstruct 1/1
2025-12-04T08:18:27.5994840Z     dynamo/test_model_output 1/1
2025-12-04T08:18:27.5995340Z     dynamo/test_modules 1/1
2025-12-04T08:18:27.5995875Z     dynamo/test_recompiles 1/1
2025-12-04T08:18:27.5996155Z     dynamo/test_utils 1/1
2025-12-04T08:18:27.5996444Z     dynamo/test_skip_guard_eval_unsafe 1/1
2025-12-04T08:18:27.5996808Z     dynamo/test_view 1/1
2025-12-04T08:18:27.5997085Z     dynamo/test_subgraphs 1/1
2025-12-04T08:18:27.5997365Z     dynamo/test_pgo 1/1
2025-12-04T08:18:27.5997682Z     dynamo/test_nops 1/1
2025-12-04T08:18:27.5997950Z     dynamo/test_graph_region_tracker 1/1
2025-12-04T08:18:27.5998308Z     dynamo/test_install_free_tensors 1/1
2025-12-04T08:18:27.5998683Z     dynamo/test_profiler 1/1
2025-12-04T08:18:27.5998966Z     dynamo/test_nested_graph_breaks 1/1
2025-12-04T08:18:27.5999535Z     dynamo/test_deviceguard 1/1
2025-12-04T08:18:27.5999841Z     dynamo/test_modes 1/1
2025-12-04T08:18:27.6000169Z     dynamo/test_base_hop 1/1
2025-12-04T08:18:27.6000456Z     dynamo/test_python_dispatcher 1/1
2025-12-04T08:18:27.6000827Z     dynamo/test_callback 1/1
2025-12-04T08:18:27.6001117Z     dynamo/test_flat_apply 1/1
2025-12-04T08:18:27.6001434Z     dynamo/test_graph_deduplication 1/1
2025-12-04T08:18:27.6001803Z     dynamo/test_bytecode_utils 1/1
2025-12-04T08:18:27.6002109Z     dynamo/test_torchrec 1/1
2025-12-04T08:18:27.6002445Z     dynamo/test_trace_rules 1/1
2025-12-04T08:18:27.6002736Z     dynamo/test_subclasses 1/1
2025-12-04T08:18:27.6003082Z     dynamo/test_comptime 1/1
2025-12-04T08:18:27.6003349Z     xpu/test_fusion 1/1
2025-12-04T08:18:27.6003604Z     xpu/test_gemm 1/1
2025-12-04T08:18:27.6003917Z     functorch/test_ac 1/1
2025-12-04T08:18:27.6004260Z     test_cuda_sanitizer 1/1
2025-12-04T08:18:27.6004748Z     cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1
2025-12-04T08:18:27.6005218Z     optim/test_optim 1/1
2025-12-04T08:18:27.6005540Z     functorch/test_vmap 3/5
2025-12-04T08:18:27.6005833Z     test_xnnpack_integration 1/1
2025-12-04T08:18:27.6006240Z     torch_np/numpy_tests/core/test_numerictypes 1/1
2025-12-04T08:18:27.6006609Z     test_function_schema 1/1
2025-12-04T08:18:27.6006913Z     test_accelerator 1/1
2025-12-04T08:18:27.6007198Z     nn/test_init 1/1
2025-12-04T08:18:27.6007494Z     torch_np/numpy_tests/core/test_scalar_methods 1/1
2025-12-04T08:18:27.6007928Z     torch_np/numpy_tests/fft/test_helper 1/1
2025-12-04T08:18:27.6008271Z     torch_np/test_function_base 1/1
2025-12-04T08:18:27.6008644Z     test_type_promotion 1/1
2025-12-04T08:18:27.6008923Z     torch_np/test_scalars_0D_arrays 1/1
2025-12-04T08:18:27.6009313Z     profiler/test_profiler_tree 1/1
2025-12-04T08:18:27.6009669Z     torch_np/numpy_tests/lib/test_arraysetops 1/1
2025-12-04T08:18:27.6010047Z     test_dlpack 1/1
2025-12-04T08:18:27.6010321Z     profiler/test_torch_tidy 1/1
2025-12-04T08:18:27.6010624Z     lazy/test_reuse_ir 1/1
2025-12-04T08:18:27.6010973Z     test_functional_autograd_benchmark 1/1
2025-12-04T08:18:27.6011319Z     torch_np/test_reductions 1/1
2025-12-04T08:18:27.6011717Z     torch_np/numpy_tests/core/test_scalar_ctors 1/1
2025-12-04T08:18:27.6012107Z     torch_np/numpy_tests/lib/test_arraypad 1/1
2025-12-04T08:18:27.6012489Z     test_prims 1/1
2025-12-04T08:18:27.6012745Z     profiler/test_python_tracer 1/1
2025-12-04T08:18:27.6013292Z     cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1
2025-12-04T08:18:27.6013784Z     test_torchfuzz_repros 1/1
2025-12-04T08:18:27.6014150Z Name: excluded (est. time: 0.0min)
2025-12-04T08:18:27.6014455Z   Serial tests (0):
2025-12-04T08:18:27.6014741Z   Parallel tests (0):
2025-12-04T08:18:27.6015198Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:18:27.599004][654.250984577]
2025-12-04T08:18:27.6015778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:18:27.6016957Z Executing ['/opt/conda/envs/py_3.14/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 08:18:27.599347]
2025-12-04T08:18:30.3608043Z 
2025-12-04T08:18:30.3609421Z 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_1f4c679dbd107438_.log
2025-12-04T08:18:30.3610177Z 
2025-12-04T08:18:30.3610501Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:18:30.360605][657.012582955], took 0.05min
2025-12-04T08:18:30.6197992Z Uploading artifacts took 0.26 seconds
2025-12-04T08:18:30.6199312Z Running test_torch 1/2 ... [2025-12-04 08:18:30.619732][657.271708524]
2025-12-04T08:18:30.6199992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:18:30.6205025Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:18:30.620152]
2025-12-04T08:23:09.5510863Z 
2025-12-04T08:23:09.5514081Z test_torch 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.2_1a32c133a8108a34_.log
2025-12-04T08:23:09.5663121Z Running 471 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, test/test_torch.py::TestTorch::test_tensor_resurrected_weak_ref, test/test_torch.py::TestTorch::test_tensor_slot_dealloc, test/test_torch.py::TestTorch::test_tensor_weakref_dealloc, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_terminate_handler_on_crash, test/test_torch.py::TestTorch::test_to, test/test_torch.py::TestTorch::test_torch_from_file, test/test_torch.py::TestTorch::test_transpose_neg_dim, test/test_torch.py::TestTorch::test_type, test/test_torch.py::TestTorch::test_typed_storage_deprecation_warning, test/test_torch.py::TestTorch::test_typed_storage_internal_no_warning, test/test_torch.py::TestTorch::test_unflatten, test/test_torch.py::TestTorch::test_unsqueeze_neg_dim, test/test_torch.py::TestTorch::test_upsample_nearest1d_meta, test/test_torch.py::TestTorch::test_upsample_nearest2d_meta, test/test_torch.py::TestTorch::test_var_neg_dim, test/test_torch.py::TestTorch::test_warn_types, test/test_torch.py::TestVitalSignsCudaCPU::test_cuda_vitals_gpu_only_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test__local_scalar_dense_with_empty_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_assertRaisesRegex_ignore_msg_non_native_device_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float32, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_device_guard_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_discontiguous_out_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dtypetensor_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_deprecated_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_pass_itself_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_separate_unscale_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_penalty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_sparse_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_update_scale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_hook_remove_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_int64_upsample3d_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_set_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_signed_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_logcumsumexp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_lognormal_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_inplace_noncontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_large_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_cpu_and_cuda_ops_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_empty_like_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_factory_like_functions_preserve_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_operators_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_w_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_gpu_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_rng_state_advance_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_trilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_EmbeddingBag_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad1d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad1d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_bincount_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_grid_sample_2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_linear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_trilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_median_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_put_accumulate_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_put_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_norm_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pickle_gradscaler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pin_memory_from_constructor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_repeat_interleave_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scalar_check_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_zero_size_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_serialization_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_shift_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_skip_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_False_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu
2025-12-04T08:23:09.5808414Z 
2025-12-04T08:23:09.5808665Z Finished test_torch 1/2 ... [2025-12-04 08:23:09.551808][936.203784023], took 4.65min
2025-12-04T08:23:09.5809588Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-be9ebccba61d5802.xml
2025-12-04T08:23:09.6493595Z Running test_utils 1/1 ... [2025-12-04 08:23:09.649071][936.3010503]
2025-12-04T08:23:09.6494189Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:23:09.6496728Z Executing ['/opt/conda/envs/py_3.14/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 08:23:09.649406]
2025-12-04T08:28:11.6837299Z 
2025-12-04T08:28:11.6838109Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_beb933899de362ab_.log
2025-12-04T08:28:11.9015589Z 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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_bool, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int16, 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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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_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, 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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, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, 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
2025-12-04T08:28:12.1134785Z 
2025-12-04T08:28:12.1135068Z Finished test_utils 1/1 ... [2025-12-04 08:28:11.690256][1238.342232019], took 5.03min
2025-12-04T08:28:12.1136043Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-277d1c03c7b039d9.xml
2025-12-04T08:28:12.1136950Z Running test_python_dispatch 1/1 ... [2025-12-04 08:28:11.892580][1238.544557293]
2025-12-04T08:28:12.1137429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:28:12.1138492Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:28:11.892978]
2025-12-04T08:28:56.5188122Z 
2025-12-04T08:28:56.5189141Z PRINTING LOG FILE of test_python_dispatch 1/1 (test/test-reports/test_python_dispatch_1.1_a3a0a204ff328c86_.log)
2025-12-04T08:28:56.5191361Z Test results will be stored in test-reports/python-pytest/test_python_dispatch/test_python_dispatch-b008aead995d0837.xml
2025-12-04T08:28:56.5192984Z ============================= test session starts ==============================
2025-12-04T08:28:56.5194348Z platform linux -- Python 3.14.1, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.14/bin/python
2025-12-04T08:28:56.5195425Z cachedir: .pytest_cache
2025-12-04T08:28:56.5196056Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T08:28:56.5196751Z rootdir: /var/lib/jenkins/workspace
2025-12-04T08:28:56.5197055Z configfile: pytest.ini
2025-12-04T08:28:56.5197696Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0
2025-12-04T08:28:56.5198404Z collecting ... collected 119 items
2025-12-04T08:28:56.5198775Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T08:28:56.5244524Z Running 119 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_dispatcher_error_filenames, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_once_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_uint64, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32
2025-12-04T08:28:56.5290505Z 
2025-12-04T08:28:56.5290895Z test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed PASSED [0.5675s] [  0%]
2025-12-04T08:28:56.5292159Z test_python_dispatch.py::TestPythonRegistration::test_alias_analysis ('RERUN', {'yellow': True}) [0.3136s] [  1%]
2025-12-04T08:28:56.5292998Z test_python_dispatch.py::TestPythonRegistration::test_alias_analysis PASSED [0.3072s] [  1%]
2025-12-04T08:28:56.5293786Z test_python_dispatch.py::TestPythonRegistration::test_create_new_library PASSED [0.2348s] [  2%]
2025-12-04T08:28:56.5294674Z test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing PASSED [0.1213s] [  3%]
2025-12-04T08:28:56.5295684Z test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing PASSED [0.1461s] [  4%]
2025-12-04T08:28:56.5296617Z test_python_dispatch.py::TestPythonRegistration::test_dispatcher_error_filenames PASSED [0.0754s] [  5%]
2025-12-04T08:28:56.5297461Z test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq PASSED [0.3189s] [  5%]
2025-12-04T08:28:56.5298286Z test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle PASSED [0.2682s] [  6%]
2025-12-04T08:28:56.5299143Z test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind PASSED [0.0650s] [  7%]
2025-12-04T08:28:56.5300021Z test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable PASSED [0.1266s] [  8%]
2025-12-04T08:28:56.5300914Z test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg PASSED [0.2335s] [  9%]
2025-12-04T08:28:56.5302258Z test_python_dispatch.py::TestPythonRegistration::test_fallback SKIPPED [0.1927s] (<OpOverload(op='profiler._record_function_enter_new', overload='default')> is not <OpOverload(op='aten.empty', overload='memory_format')>
2025-12-04T08:28:56.5303637Z 
2025-12-04T08:28:56.5303858Z To execute this test, run the following from the base repo dir:
2025-12-04T08:28:56.5304689Z     PYTORCH_TEST_WITH_DYNAMO=1 python test/test_python_dispatch.py TestPythonRegistration.test_fallback
2025-12-04T08:28:56.5305170Z 
2025-12-04T08:28:56.5305437Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 10%]
2025-12-04T08:28:56.5306186Z test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough PASSED [0.3130s] [ 10%]
2025-12-04T08:28:56.5307161Z test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset SKIPPED [0.2559s] (not enough values to unpack (expected 2, got 1)
2025-12-04T08:28:56.5307778Z 
2025-12-04T08:28:56.5307985Z To execute this test, run the following from the base repo dir:
2025-12-04T08:28:56.5308663Z     PYTORCH_TEST_WITH_DYNAMO=1 python test/test_python_dispatch.py TestPythonRegistration.test_fallback_keyset
2025-12-04T08:28:56.5309177Z 
2025-12-04T08:28:56.5309440Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 11%]
2025-12-04T08:28:56.5310762Z test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls SKIPPED [0.0343s] (Causing flakiness, see https://github.com/pytorch/pytorch/issues/145108) [ 12%]
2025-12-04T08:28:56.5311995Z test_python_dispatch.py::TestPythonRegistration::test_finalizer SKIPPED [0.3886s] (Scalars are not equal!
2025-12-04T08:28:56.5312489Z 
2025-12-04T08:28:56.5312587Z Expected 1 but got 8.
2025-12-04T08:28:56.5312855Z Absolute difference: 7
2025-12-04T08:28:56.5313126Z Relative difference: 7.0
2025-12-04T08:28:56.5313295Z 
2025-12-04T08:28:56.5313499Z To execute this test, run the following from the base repo dir:
2025-12-04T08:28:56.5314155Z     PYTORCH_TEST_WITH_DYNAMO=1 python test/test_python_dispatch.py TestPythonRegistration.test_finalizer
2025-12-04T08:28:56.5314646Z 
2025-12-04T08:28:56.5314910Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 13%]
2025-12-04T08:28:56.5315730Z test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries PASSED [0.2352s] [ 14%]
2025-12-04T08:28:56.5316634Z test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum PASSED [0.1461s] [ 15%]
2025-12-04T08:28:56.5317471Z test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator PASSED [0.0558s] [ 15%]
2025-12-04T08:28:56.5318325Z test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough PASSED [0.1299s] [ 16%]
2025-12-04T08:28:56.5320671Z test_python_dispatch.py::TestPythonRegistration::test_returning_symint PASSED [0.6137s] [ 17%]
2025-12-04T08:28:56.5321439Z test_python_dispatch.py::TestPythonDispatch::test_all_same_mode PASSED [0.0397s] [ 18%]
2025-12-04T08:28:56.5322167Z test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr PASSED [0.5275s] [ 19%]
2025-12-04T08:28:56.5323281Z test_python_dispatch.py::TestPythonDispatch::test_basic W1204 08:28:22.152000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] torch._dynamo hit config.recompile_limit (8)
2025-12-04T08:28:56.5324679Z W1204 08:28:22.152000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8]    function: 'makeRecord' (/opt/conda/envs/py_3.14/lib/python3.14/logging/__init__.py:1626)
2025-12-04T08:28:56.5326302Z W1204 08:28:22.152000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8]    last reason: 5/7: msg == 'torch._ops.aten.bitwise_and.Tensor'              # rv = _logRecordFactory(name, level, fn, lno, msg, args, exc_info, func,  # logging/__init__.py:1632 in makeRecord
2025-12-04T08:28:56.5327794Z W1204 08:28:22.152000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-12-04T08:28:56.5329138Z W1204 08:28:22.152000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/compile/programming_model.recompilation.html
2025-12-04T08:28:56.5330067Z PASSED [1.5784s] [ 20%]
2025-12-04T08:28:56.5330692Z test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode PASSED [0.1112s] [ 21%]
2025-12-04T08:28:56.5331640Z test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor PASSED [0.1068s] [ 21%]
2025-12-04T08:28:56.5332813Z test_python_dispatch.py::TestPythonDispatch::test_custom_autograd W1204 08:28:23.950000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [4/8] torch._dynamo hit config.recompile_limit (8)
2025-12-04T08:28:56.5334332Z W1204 08:28:23.950000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [4/8]    function: 'torch_dynamo_resume_in_info_at_1519' (/opt/conda/envs/py_3.14/lib/python3.14/logging/__init__.py:1519)
2025-12-04T08:28:56.5335917Z W1204 08:28:23.950000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [4/8]    last reason: 4/7: msg == 'torch._ops.aten.eq.Tensor'                       # self._log(INFO, msg, args, **kwargs)  # logging/__init__.py:1520 in torch_dynamo_resume_in_info_at_1519
2025-12-04T08:28:56.5337393Z W1204 08:28:23.950000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [4/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-12-04T08:28:56.5338738Z W1204 08:28:23.950000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [4/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/compile/programming_model.recompilation.html
2025-12-04T08:28:56.5339682Z PASSED [1.5619s] [ 22%]
2025-12-04T08:28:56.5340319Z test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators PASSED [0.2056s] [ 23%]
2025-12-04T08:28:56.5341385Z test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators PASSED [0.1543s] [ 24%]
2025-12-04T08:28:56.5342353Z test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes PASSED [0.3822s] [ 25%]
2025-12-04T08:28:56.5343236Z test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path PASSED [0.2568s] [ 26%]
2025-12-04T08:28:56.5344088Z test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass PASSED [0.2200s] [ 26%]
2025-12-04T08:28:56.5344930Z test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass PASSED [1.3677s] [ 27%]
2025-12-04T08:28:56.5345901Z test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type PASSED [0.3124s] [ 28%]
2025-12-04T08:28:56.5346919Z test_python_dispatch.py::TestPythonDispatch::test_detach_appears_once_when_called_once PASSED [0.4859s] [ 29%]
2025-12-04T08:28:56.5347727Z test_python_dispatch.py::TestPythonDispatch::test_device_slowpath PASSED [0.2945s] [ 30%]
2025-12-04T08:28:56.5348456Z test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath PASSED [0.3608s] [ 31%]
2025-12-04T08:28:56.5349197Z test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call PASSED [0.2655s] [ 31%]
2025-12-04T08:28:56.5350075Z test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg PASSED [0.4821s] [ 32%]
2025-12-04T08:28:56.5350912Z test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd PASSED [0.4820s] [ 33%]
2025-12-04T08:28:56.5351707Z test_python_dispatch.py::TestPythonDispatch::test_dispatch_uint64 PASSED [0.1152s] [ 34%]
2025-12-04T08:28:56.5352507Z test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode PASSED [0.1532s] [ 35%]
2025-12-04T08:28:56.5353319Z test_python_dispatch.py::TestPythonDispatch::test_exception_handling PASSED [0.1447s] [ 36%]
2025-12-04T08:28:56.5354041Z test_python_dispatch.py::TestPythonDispatch::test_fancy_strides PASSED [0.9409s] [ 36%]
2025-12-04T08:28:56.5354723Z test_python_dispatch.py::TestPythonDispatch::test_format PASSED [0.4616s] [ 37%]
2025-12-04T08:28:56.5355396Z test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode PASSED [0.0447s] [ 38%]
2025-12-04T08:28:56.5356092Z test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack PASSED [0.0451s] [ 39%]
2025-12-04T08:28:56.5356907Z test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass PASSED [0.4123s] [ 40%]
2025-12-04T08:28:56.5357767Z test_python_dispatch.py::TestPythonDispatch::test_invalid_ret PASSED [0.3510s] [ 41%]
2025-12-04T08:28:56.5358517Z test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path PASSED [0.5214s] [ 42%]
2025-12-04T08:28:56.5359247Z test_python_dispatch.py::TestPythonDispatch::test_kwarg_only PASSED [0.7832s] [ 42%]
2025-12-04T08:28:56.5360027Z test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default PASSED [0.8138s] [ 43%]
2025-12-04T08:28:56.5360840Z test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path PASSED [0.5448s] [ 44%]
2025-12-04T08:28:56.5361620Z test_python_dispatch.py::TestPythonDispatch::test_like PASSED [0.1284s]  [ 45%]
2025-12-04T08:28:56.5362639Z test_python_dispatch.py::TestPythonDispatch::test_list_ret SKIPPED [0.1785s] (This test passed, maybe we can remove `test/dynamo_skips/TestPythonDispatch.test_list_ret`) [ 46%]
2025-12-04T08:28:56.5363795Z test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass PASSED [0.2087s] [ 47%]
2025-12-04T08:28:56.5364592Z test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes PASSED [0.2532s] [ 47%]
2025-12-04T08:28:56.5365420Z test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc PASSED [0.0745s] [ 48%]
2025-12-04T08:28:56.5366317Z test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata PASSED [0.6961s] [ 49%]
2025-12-04T08:28:56.5367318Z test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug SKIPPED [0.1239s] (TypeError: 'NoneType' object is not iterable
2025-12-04T08:28:56.5367899Z 
2025-12-04T08:28:56.5368007Z from user code:
2025-12-04T08:28:56.5368624Z    File "/var/lib/jenkins/workspace/test/test_python_dispatch.py", line 2184, in torch_dynamo_resume_in_test_maybe_tuple_bug_at_2184
2025-12-04T08:28:56.5369313Z     a[[T(), T()]]
2025-12-04T08:28:56.5369465Z 
2025-12-04T08:28:56.5370110Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"
2025-12-04T08:28:56.5370851Z 
2025-12-04T08:28:56.5370855Z 
2025-12-04T08:28:56.5371049Z To execute this test, run the following from the base repo dir:
2025-12-04T08:28:56.5371727Z     PYTORCH_TEST_WITH_DYNAMO=1 python test/test_python_dispatch.py TestPythonDispatch.test_maybe_tuple_bug
2025-12-04T08:28:56.5372226Z 
2025-12-04T08:28:56.5372491Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 50%]
2025-12-04T08:28:56.5373183Z test_python_dispatch.py::TestPythonDispatch::test_mode_detection PASSED [0.0406s] [ 51%]
2025-12-04T08:28:56.5373935Z test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass PASSED [0.1417s] [ 52%]
2025-12-04T08:28:56.5374728Z test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass PASSED [0.2787s] [ 52%]
2025-12-04T08:28:56.5375552Z test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode PASSED [0.1026s] [ 53%]
2025-12-04T08:28:56.5376358Z test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode PASSED [0.0979s] [ 54%]
2025-12-04T08:28:56.5377055Z test_python_dispatch.py::TestPythonDispatch::test_new_ones PASSED [0.3727s] [ 55%]
2025-12-04T08:28:56.5378173Z test_python_dispatch.py::TestPythonDispatch::test_none_wrapping W1204 08:28:38.756000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [!0/6/8] torch._dynamo hit config.recompile_limit (8)
2025-12-04T08:28:56.5379648Z W1204 08:28:38.756000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [!0/6/8]    function: '__torch_dispatch__' (/var/lib/jenkins/workspace/test/test_python_dispatch.py:1781)
2025-12-04T08:28:56.5382163Z W1204 08:28:38.756000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [!0/6/8]    last reason: !0/6/7: ___check_type_id(args[1], 94010073868160)  # <class '__main__.TestPythonDispatch.test_none_wrapping.<locals>.SubclassWithNone'>  # wrap, func(*tree_map(unwrap, args), **tree_map(unwrap, kwargs))  # ar/lib/jenkins/workspace/test/test_python_dispatch.py:1790 in __torch_dispatch__
2025-12-04T08:28:56.5384158Z W1204 08:28:38.756000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [!0/6/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-12-04T08:28:56.5385521Z W1204 08:28:38.756000 1193 site-packages/torch/_dynamo/convert_frame.py:1668] [!0/6/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/compile/programming_model.recompilation.html
2025-12-04T08:28:56.5386461Z PASSED [1.4400s] [ 56%]
2025-12-04T08:28:56.5386961Z test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode PASSED [0.2870s] [ 57%]
2025-12-04T08:28:56.5387738Z test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list PASSED [0.5873s] [ 57%]
2025-12-04T08:28:56.5388434Z test_python_dispatch.py::TestPythonDispatch::test_out PASSED [0.6342s]   [ 58%]
2025-12-04T08:28:56.5389205Z test_python_dispatch.py::TestPythonDispatch::test_produce_real_type PASSED [0.9194s] [ 59%]
2025-12-04T08:28:56.5389996Z test_python_dispatch.py::TestPythonDispatch::test_record_stream PASSED [0.1398s] [ 60%]
2025-12-04T08:28:56.5390857Z test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride PASSED [0.1317s] [ 61%]
2025-12-04T08:28:56.5400285Z test_python_dispatch.py::TestPythonDispatch::test_return_stream PASSED [0.1593s] [ 62%]
2025-12-04T08:28:56.5401219Z test_python_dispatch.py::TestPythonDispatch::test_set_data SKIPPED [0.2246s] (Scalars are not equal!
2025-12-04T08:28:56.5401704Z 
2025-12-04T08:28:56.5401806Z Expected 1 but got 2.
2025-12-04T08:28:56.5402079Z Absolute difference: 1
2025-12-04T08:28:56.5402342Z Relative difference: 1.0
2025-12-04T08:28:56.5402529Z 
2025-12-04T08:28:56.5402721Z To execute this test, run the following from the base repo dir:
2025-12-04T08:28:56.5403373Z     PYTORCH_TEST_WITH_DYNAMO=1 python test/test_python_dispatch.py TestPythonDispatch.test_set_data
2025-12-04T08:28:56.5403845Z 
2025-12-04T08:28:56.5404135Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 63%]
2025-12-04T08:28:56.5404856Z test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach PASSED [0.1030s] [ 63%]
2025-12-04T08:28:56.5405625Z test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path PASSED [0.5350s] [ 64%]
2025-12-04T08:28:56.5406393Z test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass PASSED [0.1204s] [ 65%]
2025-12-04T08:28:56.5407112Z test_python_dispatch.py::TestPythonDispatch::test_storage PASSED [0.1559s] [ 66%]
2025-12-04T08:28:56.5407882Z test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object PASSED [0.3994s] [ 67%]
2025-12-04T08:28:56.5408703Z test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path PASSED [0.5236s] [ 68%]
2025-12-04T08:28:56.5409435Z test_python_dispatch.py::TestPythonDispatch::test_subclass_creation PASSED [0.5883s] [ 68%]
2025-12-04T08:28:56.5410159Z test_python_dispatch.py::TestPythonDispatch::test_subclass_priority PASSED [0.9653s] [ 69%]
2025-12-04T08:28:56.5410934Z test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path PASSED [0.5730s] [ 70%]
2025-12-04T08:28:56.5411789Z test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode PASSED [0.3430s] [ 71%]
2025-12-04T08:28:56.5412643Z test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic PASSED [0.0937s] [ 72%]
2025-12-04T08:28:56.5413495Z test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch PASSED [0.0919s] [ 73%]
2025-12-04T08:28:56.5414415Z test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority PASSED [0.8927s] [ 73%]
2025-12-04T08:28:56.5415314Z test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors PASSED [0.1005s] [ 74%]
2025-12-04T08:28:56.5416095Z test_python_dispatch.py::TestPythonDispatch::test_version PASSED [0.8435s] [ 75%]
2025-12-04T08:28:56.5417453Z test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch PASSED [0.1062s] [ 76%]
2025-12-04T08:28:56.5418334Z test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately PASSED [0.2011s] [ 77%]
2025-12-04T08:28:56.5419113Z test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes PASSED [0.2230s] [ 78%]
2025-12-04T08:28:56.5419920Z test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys SKIPPED [0.3528s] (
2025-12-04T08:28:56.5420414Z 
2025-12-04T08:28:56.5420500Z from user code:
2025-12-04T08:28:56.5421194Z    File "/var/lib/jenkins/workspace/test/test_python_dispatch.py", line 1228, in torch_dynamo_resume_in_test_wrapper_subclass_extra_dispatch_keys_at_1227
2025-12-04T08:28:56.5422226Z     self.assertTrue(torch._C._dispatch_keys(x).has(DispatchKey.NestedTensor))
2025-12-04T08:28:56.5422586Z 
2025-12-04T08:28:56.5423214Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"
2025-12-04T08:28:56.5424020Z 
2025-12-04T08:28:56.5424024Z 
2025-12-04T08:28:56.5424219Z To execute this test, run the following from the base repo dir:
2025-12-04T08:28:56.5424969Z     PYTORCH_TEST_WITH_DYNAMO=1 python test/test_python_dispatch.py TestPythonDispatch.test_wrapper_subclass_extra_dispatch_keys
2025-12-04T08:28:56.5425547Z 
2025-12-04T08:28:56.5425809Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 78%]
2025-12-04T08:28:56.5426642Z test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype PASSED [3.1657s] [ 79%]
2025-12-04T08:28:56.5427632Z test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode PASSED [0.1695s] [ 80%]
2025-12-04T08:28:56.5428530Z test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes PASSED [0.7055s] [ 81%]
2025-12-04T08:28:56.5429266Z test_python_dispatch.py::TestPythonDispatcher::test_basic PASSED [0.1469s] [ 82%]
2025-12-04T08:28:56.5429987Z test_python_dispatch.py::TestPythonDispatcher::test_lstsq PASSED [0.2701s] [ 83%]
2025-12-04T08:28:56.5431033Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32 SKIPPED [0.0453s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 84%]
2025-12-04T08:28:56.5433374Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu /opt/conda/envs/py_3.14/lib/python3.14/site-packages/_pytest/unraisableexception.py:78: PytestUnraisableExceptionWarning: Exception ignored while calling deallocator <function StorageWeakRef.__del__ at 0x7f911c7f8720>: None
2025-12-04T08:28:56.5434893Z 
2025-12-04T08:28:56.5434998Z Traceback (most recent call last):
2025-12-04T08:28:56.5435640Z   File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/multiprocessing/reductions.py", line 50, in __del__
2025-12-04T08:28:56.5436295Z     self._free_weak_ref(self.cdata)
2025-12-04T08:28:56.5436579Z     ^^^^^^^^^^^^^^^^^^^
2025-12-04T08:28:56.5437151Z AttributeError: 'torch.multiprocessing.reductions.StorageWeakRef' object has no attribute '_free_weak_ref'
2025-12-04T08:28:56.5437688Z 
2025-12-04T08:28:56.5437905Z   warnings.warn(pytest.PytestUnraisableExceptionWarning(msg))
2025-12-04T08:28:56.5438306Z PASSED [0.2468s] [ 84%]
2025-12-04T08:28:56.5439225Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32 SKIPPED [0.0436s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 85%]
2025-12-04T08:28:56.5440868Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32 SKIPPED [0.0445s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 86%]
2025-12-04T08:28:56.5442502Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32 SKIPPED [0.0427s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 87%]
2025-12-04T08:28:56.5444248Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32 SKIPPED [0.0425s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 88%]
2025-12-04T08:28:56.5445913Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32 SKIPPED [0.0429s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 89%]
2025-12-04T08:28:56.5447563Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32 SKIPPED [0.0450s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 89%]
2025-12-04T08:28:56.5449338Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32 SKIPPED [0.0451s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 90%]
2025-12-04T08:28:56.5451067Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32 SKIPPED [0.0449s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 91%]
2025-12-04T08:28:56.5452811Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32 SKIPPED [0.0453s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 92%]
2025-12-04T08:28:56.5454526Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32 SKIPPED [0.0449s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 93%]
2025-12-04T08:28:56.5456189Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32 SKIPPED [0.0445s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 94%]
2025-12-04T08:28:56.5457916Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu PASSED [0.2336s] [ 94%]
2025-12-04T08:28:56.5459748Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32 SKIPPED [0.0446s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 95%]
2025-12-04T08:28:56.5461292Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32 SKIPPED [0.0442s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 96%]
2025-12-04T08:28:56.5462578Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu PASSED [0.2868s] [ 97%]
2025-12-04T08:28:56.5463822Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32 SKIPPED [0.0459s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 98%]
2025-12-04T08:28:56.5465334Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32 SKIPPED [0.0457s] (Policy: we don't run OpInfo tests w/ Dynamo) [ 99%]
2025-12-04T08:28:56.5466844Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32 SKIPPED [0.0436s] (Policy: we don't run OpInfo tests w/ Dynamo) [100%]
2025-12-04T08:28:56.5467929Z 
2025-12-04T08:28:56.5468064Z ==================================== RERUNS ====================================
2025-12-04T08:28:56.5468711Z __________________ TestPythonRegistration.test_alias_analysis __________________
2025-12-04T08:28:56.5469208Z Traceback (most recent call last):
2025-12-04T08:28:56.5469776Z   File "/var/lib/jenkins/workspace/test/test_python_dispatch.py", line 584, in test_alias_analysis
2025-12-04T08:28:56.5470476Z     test_helper("CONSERVATIVE")
2025-12-04T08:28:56.5470754Z     ~~~~~~~~~~~^^^^^^^^^^^^^^^^
2025-12-04T08:28:56.5471246Z   File "/var/lib/jenkins/workspace/test/test_python_dispatch.py", line 565, in test_helper
2025-12-04T08:28:56.5471837Z     my_lib1 = Library(self.test_ns, "DEF")  # noqa: TOR901
2025-12-04T08:28:56.5472451Z   File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py", line 101, in __init__
2025-12-04T08:28:56.5473161Z     self.m: Optional[Any] = torch._C._dispatch_library(
2025-12-04T08:28:56.5473537Z                             ~~~~~~~~~~~~~~~~~~~~~~~~~~^
2025-12-04T08:28:56.5473889Z         kind, ns, dispatch_key, filename, lineno
2025-12-04T08:28:56.5474215Z         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-12-04T08:28:56.5474558Z     )
2025-12-04T08:28:56.5474758Z     ^
2025-12-04T08:28:56.5477477Z RuntimeError: Only a single TORCH_LIBRARY can be used to register the namespace _test_python_registration; please put all of your definitions in a single TORCH_LIBRARY block.  If you were trying to specify implementations, consider using TORCH_LIBRARY_IMPL (which can be duplicated).  If you really intended to define operators for a single namespace in a distributed way, you can use TORCH_LIBRARY_FRAGMENT to explicitly indicate this.  Previous registration of TORCH_LIBRARY was registered at /var/lib/jenkins/workspace/test/test_python_dispatch.py:565; latest registration was registered at /var/lib/jenkins/workspace/test/test_python_dispatch.py:565
2025-12-04T08:28:56.5480892Z 
2025-12-04T08:28:56.5481104Z To execute this test, run the following from the base repo dir:
2025-12-04T08:28:56.5481801Z     PYTORCH_TEST_WITH_DYNAMO=1 python test/test_python_dispatch.py TestPythonRegistration.test_alias_analysis
2025-12-04T08:28:56.5482377Z 
2025-12-04T08:28:56.5482619Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T08:28:56.5483575Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-b008aead995d0837.xml -
2025-12-04T08:28:56.5484491Z =================== 94 passed, 25 skipped, 1 rerun in 40.32s ===================
2025-12-04T08:28:56.5484814Z 
2025-12-04T08:28:56.5485250Z FINISHED PRINTING LOG FILE of test_python_dispatch 1/1 (test/test-reports/test_python_dispatch_1.1_a3a0a204ff328c86_.log)
2025-12-04T08:28:56.5485797Z 
2025-12-04T08:28:56.5486072Z Finished test_python_dispatch 1/1 ... [2025-12-04 08:28:56.519054][1283.171028604], took 0.74min
2025-12-04T08:28:56.5487147Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-b008aead995d0837.xml
2025-12-04T08:28:56.6580626Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 08:28:56.657651][1283.309627771]
2025-12-04T08:28:56.6581242Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:28:56.6582918Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:28:56.658008]
2025-12-04T08:36:58.2533431Z 
2025-12-04T08:36:58.2534364Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_8d04f59f0604989d_.log
2025-12-04T08:36:58.2782740Z Running 651 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_channels_last_large_inputs_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_large_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_misaligned_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_multi_batch_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_size1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_trailing_dim_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_concat_empty_list_error_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_bounds_checking_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_distribution_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_large_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_rand_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_randint_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_randn_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32
2025-12-04T08:36:58.3023437Z 
2025-12-04T08:36:58.3023780Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 08:36:58.254378][1764.906354737], took 8.03min
2025-12-04T08:36:58.3024895Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-8bcdcacc3e9ce4e1.xml
2025-12-04T08:36:58.3536264Z Running test_nn 2/3 ... [2025-12-04 08:36:58.353312][1765.005290191]
2025-12-04T08:36:58.3536721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:36:58.3538906Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_nn.py', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:36:58.353660]
2025-12-04T08:44:56.6895638Z 
2025-12-04T08:44:56.6896510Z test_nn 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_2.3_9784e98f1d8f7787_.log
2025-12-04T08:44:56.7306286Z Running 746 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_large_max_pool2d_ch_last, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_fails_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cudnn_rnn_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_mse_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_smem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_bfloat16
2025-12-04T08:44:56.7703264Z 
2025-12-04T08:44:56.7703514Z Finished test_nn 2/3 ... [2025-12-04 08:44:56.690961][2243.342937724], took 7.97min
2025-12-04T08:44:56.7704392Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-30807ebf6bf8c2a0.xml
2025-12-04T08:44:57.0864827Z Uploading artifacts took 0.29 seconds
2025-12-04T08:44:57.0865860Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 08:44:57.086411][2243.738390465]
2025-12-04T08:44:57.0866477Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:44:57.0870184Z Executing ['/opt/conda/envs/py_3.14/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 08:44:57.086782]
2025-12-04T08:46:51.1526659Z 
2025-12-04T08:46:51.1527827Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_c9fcf288042032fc_.log
2025-12-04T08:46:51.1540612Z 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
2025-12-04T08:46:51.1551873Z 
2025-12-04T08:46:51.1552227Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 08:46:51.152492][2357.804468627], took 1.90min
2025-12-04T08:46:51.1553358Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-52d148e2e9a1c6e6.xml
2025-12-04T08:46:51.2276506Z Running test_overrides 1/1 ... [2025-12-04 08:46:51.227336][2357.879314838]
2025-12-04T08:46:51.2276978Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:46:51.2279430Z Executing ['/opt/conda/envs/py_3.14/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 08:46:51.227682]
2025-12-04T08:49:25.1950594Z 
2025-12-04T08:49:25.1951703Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_63a097dfc5fd050a_.log
2025-12-04T08:49:25.2449302Z 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__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_layout___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mH___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mT___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_name___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_names___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_nbytes___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_ndim___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_output_nr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_real___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_requires_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_retains_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_shape___get__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dense_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_det, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diff, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim_order, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_double, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_element_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1_, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gather, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_has_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, 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_, 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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
2025-12-04T08:49:25.2935337Z 
2025-12-04T08:49:25.2935620Z Finished test_overrides 1/1 ... [2025-12-04 08:49:25.196437][2511.848412957], took 2.57min
2025-12-04T08:49:25.2936611Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-4e436d2e20643e1d.xml
2025-12-04T08:49:25.2998289Z Running test_reductions 2/2 ... [2025-12-04 08:49:25.299588][2511.951567772]
2025-12-04T08:49:25.2998764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:49:25.3001186Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_reductions.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 08:49:25.299895]
2025-12-04T08:55:46.0625071Z 
2025-12-04T08:55:46.0626277Z test_reductions 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_2.2_1b05346936892b31_.log
2025-12-04T08:55:46.1496512Z Running 2274 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_float16, 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_uint8, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_bucketization_cpu, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_cumprod_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_std_cpu, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_complex64, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int8, 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test/test_reductions.py::TestReductionsCPU::test_std_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_reduce_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability2_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability_cpu, test/test_reductions.py::TestReductionsCPU::test_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_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
2025-12-04T08:55:46.2345931Z 
2025-12-04T08:55:46.2346242Z Finished test_reductions 2/2 ... [2025-12-04 08:55:46.065113][2892.717089546], took 6.35min
2025-12-04T08:55:46.2347263Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-c29cb62fa90ba141.xml
2025-12-04T08:55:46.2514411Z Running doctests 1/1 ... [2025-12-04 08:55:46.251087][2892.903064386]
2025-12-04T08:55:46.6381211Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=368.
2025-12-04T08:55:46.6382114Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:46.6382729Z Registers the function implementation as the fallback for the given key.
2025-12-04T08:55:46.6383113Z 
2025-12-04T08:55:46.6383346Z         This function only works for a library with global namespace ("_").
2025-12-04T08:55:46.6383904Z 
2025-12-04T08:55:46.6383993Z         Args:
2025-12-04T08:55:46.6384413Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T08:55:46.6384964Z                 to register a fallthrough.
2025-12-04T08:55:46.6385501Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T08:55:46.6386114Z                           the dispatch key that the library was created with.
2025-12-04T08:55:46.6386772Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T08:55:46.6387585Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T08:55:46.6388043Z 
2025-12-04T08:55:46.6388214Z         Example::
2025-12-04T08:55:46.6388370Z 
2025-12-04T08:55:46.6388480Z             >>> my_lib = Library("_", "IMPL")
2025-12-04T08:55:46.6388847Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T08:55:46.6389215Z             >>>     # Handle all autocast ops generically
2025-12-04T08:55:46.6389554Z             >>>     # ...
2025-12-04T08:55:46.6389862Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T08:55:46.6390264Z         
2025-12-04T08:55:46.6391049Z 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))
2025-12-04T08:55:46.6391807Z 
2025-12-04T08:55:46.6391937Z my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T08:55:46.6392260Z ^
2025-12-04T08:55:46.6500418Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=958.
2025-12-04T08:55:46.6501566Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:46.6502349Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T08:55:46.6502996Z 
2025-12-04T08:55:46.6503187Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T08:55:46.6503481Z 
2025-12-04T08:55:46.6503736Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T08:55:46.6504314Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T08:55:46.6504895Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T08:55:46.6505397Z     what the properties of the output Tensors are.
2025-12-04T08:55:46.6505649Z 
2025-12-04T08:55:46.6505878Z     The FakeTensor implementation has the same signature as the operator.
2025-12-04T08:55:46.6506441Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T08:55:46.6506988Z     implementation, assume that all Tensor inputs to the operator are
2025-12-04T08:55:46.6507537Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T08:55:46.6508054Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T08:55:46.6508613Z     The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T08:55:46.6509312Z     (and may not directly access the storage or data of any input or
2025-12-04T08:55:46.6509713Z     intermediate Tensors).
2025-12-04T08:55:46.6509901Z 
2025-12-04T08:55:46.6510118Z     This API may be used as a decorator (see examples).
2025-12-04T08:55:46.6510397Z 
2025-12-04T08:55:46.6510535Z     For a detailed guide on custom ops, please see
2025-12-04T08:55:46.6511038Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T08:55:46.6511382Z 
2025-12-04T08:55:46.6511465Z     Args:
2025-12-04T08:55:46.6511810Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T08:55:46.6512268Z         func: Fake tensor implementation.
2025-12-04T08:55:46.6512681Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T08:55:46.6513285Z         allow_override: Flag controlling if we want to override an
2025-12-04T08:55:46.6513767Z                         existing registered fake impl. This is by default off,
2025-12-04T08:55:46.6514241Z                         and will error you're trying to register a fake impl to
2025-12-04T08:55:46.6514701Z                         an operator that already has a fake impl. This also only
2025-12-04T08:55:46.6515156Z                         applies if the custom operator was not created via
2025-12-04T08:55:46.6515630Z                         torch.library.custom_op, as overriding and existing fake
2025-12-04T08:55:46.6516043Z                         impl is already allowed.
2025-12-04T08:55:46.6516278Z 
2025-12-04T08:55:46.6516389Z     Examples:
2025-12-04T08:55:46.6516617Z         >>> import torch
2025-12-04T08:55:46.6516885Z         >>> import numpy as np
2025-12-04T08:55:46.6517217Z         >>> from torch import Tensor
2025-12-04T08:55:46.6517509Z         >>>
2025-12-04T08:55:46.6517825Z         >>> # Example 1: an operator without data-dependent output shape
2025-12-04T08:55:46.6518356Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T08:55:46.6518904Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T08:55:46.6519426Z         >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T08:55:46.6519812Z         >>>
2025-12-04T08:55:46.6520091Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T08:55:46.6520478Z         >>> def _(x, weight, bias):
2025-12-04T08:55:46.6520786Z         >>>     assert x.dim() == 2
2025-12-04T08:55:46.6521087Z         >>>     assert weight.dim() == 2
2025-12-04T08:55:46.6521410Z         >>>     assert bias.dim() == 1
2025-12-04T08:55:46.6521743Z         >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T08:55:46.6522111Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T08:55:46.6522460Z         >>>     assert x.device == weight.device
2025-12-04T08:55:46.6522786Z         >>>
2025-12-04T08:55:46.6523023Z         >>>     return (x @ weight.t()) + bias
2025-12-04T08:55:46.6523321Z         >>>
2025-12-04T08:55:46.6523616Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T08:55:46.6524008Z         >>>     x = torch.randn(2, 3)
2025-12-04T08:55:46.6524305Z         >>>     w = torch.randn(3, 3)
2025-12-04T08:55:46.6524611Z         >>>     b = torch.randn(3)
2025-12-04T08:55:46.6524947Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T08:55:46.6525272Z         >>>
2025-12-04T08:55:46.6525499Z         >>> assert y.shape == (2, 3)
2025-12-04T08:55:46.6525789Z         >>>
2025-12-04T08:55:46.6526074Z         >>> # Example 2: an operator with data-dependent output shape
2025-12-04T08:55:46.6526585Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T08:55:46.6527055Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T08:55:46.6527416Z         >>>     x_np = x.numpy(force=True)
2025-12-04T08:55:46.6527754Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T08:55:46.6528202Z         >>>     return torch.tensor(res, device=x.device)
2025-12-04T08:55:46.6528536Z         >>>
2025-12-04T08:55:46.6528822Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T08:55:46.6529199Z         >>> def _(x):
2025-12-04T08:55:46.6529504Z         >>> # Number of nonzero-elements is data-dependent.
2025-12-04T08:55:46.6529918Z         >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T08:55:46.6530336Z         >>> # we use the ctx object to construct a new symint that
2025-12-04T08:55:46.6530738Z         >>> # represents the data-dependent size.
2025-12-04T08:55:46.6531092Z         >>>     ctx = torch.library.get_ctx()
2025-12-04T08:55:46.6531422Z         >>>     nnz = ctx.new_dynamic_size()
2025-12-04T08:55:46.6531749Z         >>>     shape = [nnz, x.dim()]
2025-12-04T08:55:46.6532164Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T08:55:46.6532515Z         >>>     return result
2025-12-04T08:55:46.6532782Z         >>>
2025-12-04T08:55:46.6533082Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T08:55:46.6533461Z         >>>
2025-12-04T08:55:46.6533681Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T08:55:46.6534148Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T08:55:46.6534624Z         >>> trace.print_readable()
2025-12-04T08:55:46.6534898Z         >>>
2025-12-04T08:55:46.6535243Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T08:55:46.6535581Z 
2025-12-04T08:55:46.6535673Z     
2025-12-04T08:55:46.6536306Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T08:55:46.6537003Z 
2025-12-04T08:55:46.6537089Z _._ = None
2025-12-04T08:55:46.6537300Z ^
2025-12-04T08:55:46.6615674Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=1530.
2025-12-04T08:55:46.6616911Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:46.6617490Z Returns the computed kernel for a given operator and dispatch key.
2025-12-04T08:55:46.6617828Z 
2025-12-04T08:55:46.6618051Z     This function retrieves the kernel that would be executed for a given
2025-12-04T08:55:46.6618629Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T08:55:46.6619164Z     can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T08:55:46.6619689Z     case for this function is to retrieve the original kernel for a given
2025-12-04T08:55:46.6620238Z     dispatch key and then register another kernel to the same dispatch key
2025-12-04T08:55:46.6620737Z     that calls into the original kernel for certain cases.
2025-12-04T08:55:46.6621026Z 
2025-12-04T08:55:46.6621113Z     Args:
2025-12-04T08:55:46.6621436Z         op: Operator name (along with the overload) or OpOverload object
2025-12-04T08:55:46.6621991Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T08:55:46.6622598Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T08:55:46.6623168Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T08:55:46.6623486Z 
2025-12-04T08:55:46.6623571Z     Returns:
2025-12-04T08:55:46.6623941Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T08:55:46.6624386Z             call the kernel.
2025-12-04T08:55:46.6624572Z 
2025-12-04T08:55:46.6624654Z     Raises:
2025-12-04T08:55:46.6624919Z         RuntimeError: If the operator does not exist.
2025-12-04T08:55:46.6625171Z 
2025-12-04T08:55:46.6625255Z     Example:
2025-12-04T08:55:46.6625501Z         >>> # Get the CPU kernel for torch.add
2025-12-04T08:55:46.6625931Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T08:55:46.6626476Z         >>>
2025-12-04T08:55:46.6626711Z         >>> # You can also use DispatchKey enum
2025-12-04T08:55:46.6627207Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T08:55:46.6627670Z         >>>
2025-12-04T08:55:46.6627895Z         >>> # Or use an OpOverload directly
2025-12-04T08:55:46.6628348Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T08:55:46.6628776Z         >>>
2025-12-04T08:55:46.6629104Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T08:55:46.6629559Z         >>> # Get the original kernel for torch.sin
2025-12-04T08:55:46.6630083Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T08:55:46.6630509Z         >>>
2025-12-04T08:55:46.6630935Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T08:55:46.6631425Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T08:55:46.6631777Z         >>>     if (x < 0).any():
2025-12-04T08:55:46.6632132Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T08:55:46.6632522Z         >>>     else:
2025-12-04T08:55:46.6632790Z         >>>         return torch.zeros_like(x)
2025-12-04T08:55:46.6633102Z         >>>
2025-12-04T08:55:46.6633350Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T08:55:46.6633858Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T08:55:46.6634427Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T08:55:46.6634910Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T08:55:46.6635354Z         >>>
2025-12-04T08:55:46.6635593Z         >>> # Test the conditional behavior
2025-12-04T08:55:46.6635933Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T08:55:46.6636287Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T08:55:46.6636623Z         >>> torch.sin(x_positive)
2025-12-04T08:55:46.6636913Z         tensor([0., 0.])
2025-12-04T08:55:46.6637170Z         >>> torch.sin(x_mixed)
2025-12-04T08:55:46.6637446Z         tensor([-0.8415, 0.9093])
2025-12-04T08:55:46.6637732Z     
2025-12-04T08:55:46.6638332Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T08:55:46.6638931Z 
2025-12-04T08:55:46.6639124Z which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T08:55:46.6639499Z       ^
2025-12-04T08:55:46.8256461Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=70.
2025-12-04T08:55:46.8257374Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:46.8258012Z Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T08:55:46.8258615Z     required drivers are available and at least one device is visible.
2025-12-04T08:55:46.8259107Z     See :ref:`accelerator<accelerators>` for details.
2025-12-04T08:55:46.8259364Z 
2025-12-04T08:55:46.8259452Z     Returns:
2025-12-04T08:55:46.8259865Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T08:55:46.8260260Z 
2025-12-04T08:55:46.8260534Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T08:55:46.8261154Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T08:55:46.8261796Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T08:55:46.8262327Z         :ref:`multiprocessing-poison-fork-note`.
2025-12-04T08:55:46.8262578Z 
2025-12-04T08:55:46.8262684Z     Example::
2025-12-04T08:55:46.8262812Z 
2025-12-04T08:55:46.8263088Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:55:46.8263748Z     
2025-12-04T08:55:46.8264428Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T08:55:46.8265099Z 
2025-12-04T08:55:46.8265374Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:55:46.8265845Z                                         ^
2025-12-04T08:55:46.8283073Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=239.
2025-12-04T08:55:46.8283999Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:46.8284574Z Wait for all kernels in all streams on the given device to complete.
2025-12-04T08:55:46.8284900Z 
2025-12-04T08:55:46.8284985Z     Args:
2025-12-04T08:55:46.8285569Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T08:55:46.8286242Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T08:55:46.8286776Z             use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T08:55:46.8287105Z 
2025-12-04T08:55:46.8287427Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T08:55:46.8287864Z 
2025-12-04T08:55:46.8287954Z     Example::
2025-12-04T08:55:46.8288082Z 
2025-12-04T08:55:46.8288231Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T08:55:46.8288739Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:55:46.8289274Z         >>> start_event = torch.Event(enable_timing=True)
2025-12-04T08:55:46.8289717Z         >>> end_event = torch.Event(enable_timing=True)
2025-12-04T08:55:46.8290075Z         >>> start_event.record()
2025-12-04T08:55:46.8290500Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T08:55:46.8290970Z         >>> sum = torch.sum(tensor)
2025-12-04T08:55:46.8291278Z         >>> end_event.record()
2025-12-04T08:55:46.8291577Z         >>> torch.accelerator.synchronize()
2025-12-04T08:55:46.8291978Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T08:55:46.8292349Z     
2025-12-04T08:55:46.8293036Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T08:55:46.8293704Z 
2025-12-04T08:55:46.8293959Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:55:46.8294437Z                                         ^
2025-12-04T08:55:46.8521938Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py line=448.
2025-12-04T08:55:46.8522835Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:46.8523317Z Retrieves the CUDA runtime API module.
2025-12-04T08:55:46.8523551Z 
2025-12-04T08:55:46.8523556Z 
2025-12-04T08:55:46.8523807Z     This function initializes the CUDA runtime environment if it is not already
2025-12-04T08:55:46.8524410Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T08:55:46.8524986Z     runtime API module provides access to various CUDA runtime functions.
2025-12-04T08:55:46.8525324Z 
2025-12-04T08:55:46.8525408Z     Args:
2025-12-04T08:55:46.8525616Z         ``None``
2025-12-04T08:55:46.8525750Z 
2025-12-04T08:55:46.8525845Z     Returns:
2025-12-04T08:55:46.8526103Z         module: The CUDA runtime API module (_cudart).
2025-12-04T08:55:46.8526366Z 
2025-12-04T08:55:46.8526453Z     Raises:
2025-12-04T08:55:46.8526807Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T08:55:46.8527525Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T08:55:46.8528116Z 
2025-12-04T08:55:46.8528248Z     Example of CUDA operations with profiling:
2025-12-04T08:55:46.8528589Z         >>> import torch
2025-12-04T08:55:46.8528891Z         >>> from torch.cuda import cudart, check_error
2025-12-04T08:55:46.8529220Z         >>> import os
2025-12-04T08:55:46.8529462Z         >>>
2025-12-04T08:55:46.8529701Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T08:55:46.8529999Z         >>>
2025-12-04T08:55:46.8530257Z         >>> def perform_cuda_operations_with_streams():
2025-12-04T08:55:46.8530622Z         >>>     stream = torch.cuda.Stream()
2025-12-04T08:55:46.8530968Z         >>>     with torch.cuda.stream(stream):
2025-12-04T08:55:46.8531315Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T08:55:46.8531685Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T08:55:46.8532143Z         >>>         z = torch.mul(x, y)
2025-12-04T08:55:46.8532430Z         >>>     return z
2025-12-04T08:55:46.8532673Z         >>>
2025-12-04T08:55:46.8532911Z         >>> torch.cuda.synchronize()
2025-12-04T08:55:46.8533240Z         >>> print("====== Start nsys profiling ======")
2025-12-04T08:55:46.8533623Z         >>> check_error(cudart().cudaProfilerStart())
2025-12-04T08:55:46.8534013Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T08:55:46.8534421Z         >>>     result = perform_cuda_operations_with_streams()
2025-12-04T08:55:46.8534802Z         >>>     print("CUDA operations completed.")
2025-12-04T08:55:46.8535207Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T08:55:46.8535621Z         >>> print("====== End nsys profiling ======")
2025-12-04T08:55:46.8535857Z 
2025-12-04T08:55:46.8536056Z     To run this example and save the profiling information, execute:
2025-12-04T08:55:46.8536793Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T08:55:46.8537286Z 
2025-12-04T08:55:46.8537533Z     This command profiles the CUDA operations in the provided script and saves
2025-12-04T08:55:46.8538102Z     the profiling information to a file named `trace_name.prof`.
2025-12-04T08:55:46.8538656Z     The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T08:55:46.8539157Z     after the `cudaProfilerStart` call in the script.
2025-12-04T08:55:46.8548425Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T08:55:46.8549054Z     CSV file and print a summary, respectively.
2025-12-04T08:55:46.8549564Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T08:55:46.8550182Z     overwrite of the output file if it already exists.
2025-12-04T08:55:46.8550528Z     
2025-12-04T08:55:46.8551338Z 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))
2025-12-04T08:55:46.8552120Z 
2025-12-04T08:55:46.8552487Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T08:55:46.8553048Z ^
2025-12-04T08:55:47.6962557Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=39.
2025-12-04T08:55:47.6963657Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:47.6964337Z 
2025-12-04T08:55:47.6964799Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T08:55:47.6965338Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T08:55:47.6965856Z pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T08:55:47.6966324Z vectorizing those operations.
2025-12-04T08:55:47.6966517Z 
2025-12-04T08:55:47.6966740Z vmap is useful for handling batch dimensions: one can write a function
2025-12-04T08:55:47.6967270Z ``func`` that runs on examples and then lift it to a function that can
2025-12-04T08:55:47.6968021Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T08:55:47.6968524Z compute batched gradients when composed with autograd.
2025-12-04T08:55:47.6968800Z 
2025-12-04T08:55:47.6968920Z .. note::
2025-12-04T08:55:47.6969219Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T08:55:47.6969651Z     convenience. Use whichever one you'd like.
2025-12-04T08:55:47.6969887Z 
2025-12-04T08:55:47.6969982Z Args:
2025-12-04T08:55:47.6970304Z     func (function): A Python function that takes one or more arguments.
2025-12-04T08:55:47.6970749Z         Must return one or more Tensors.
2025-12-04T08:55:47.6971168Z     in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T08:55:47.6971653Z         inputs should be mapped over. ``in_dims`` should have a
2025-12-04T08:55:47.6972250Z         structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T08:55:47.6972747Z         input is None, then that indicates there is no map dimension.
2025-12-04T08:55:47.6973146Z         Default: 0.
2025-12-04T08:55:47.6973475Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T08:55:47.6973983Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T08:55:47.6974450Z         it should have one element per output. Default: 0.
2025-12-04T08:55:47.6974891Z     randomness (str): Specifies whether the randomness in this
2025-12-04T08:55:47.6975403Z         vmap should be the same or different across batches. If 'different',
2025-12-04T08:55:47.6975936Z         the randomness for each batch will be different. If 'same', the
2025-12-04T08:55:47.6976471Z         randomness will be the same across batches. If 'error', any calls to
2025-12-04T08:55:47.6977066Z         random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T08:55:47.6977603Z         only applies to random PyTorch operations and does not apply to
2025-12-04T08:55:47.6978070Z         Python's random module or numpy randomness.
2025-12-04T08:55:47.6978542Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T08:55:47.6979116Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T08:55:47.6979715Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T08:55:47.6980541Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T08:55:47.6980931Z 
2025-12-04T08:55:47.6981017Z Returns:
2025-12-04T08:55:47.6981331Z     Returns a new "batched" function. It takes the same inputs as
2025-12-04T08:55:47.6981817Z     ``func``, except each input has an extra dimension at the index
2025-12-04T08:55:47.6982294Z     specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T08:55:47.6982791Z     ``func``, except each output has an extra dimension at the index
2025-12-04T08:55:47.6983199Z     specified by ``out_dims``.
2025-12-04T08:55:47.6983386Z 
2025-12-04T08:55:47.6983483Z .. warning:
2025-12-04T08:55:47.6983796Z     :func:`vmap` works best with functional-style code. Please do not
2025-12-04T08:55:47.6984297Z     perform any side-effects in ``func``, with the exception of
2025-12-04T08:55:47.6984830Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T08:55:47.6985402Z     Python data structures and assigning values to variables not captured
2025-12-04T08:55:47.6985836Z     in ``func``.
2025-12-04T08:55:47.6985983Z 
2025-12-04T08:55:47.6986216Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T08:55:47.6986786Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T08:55:47.6987330Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T08:55:47.6987672Z 
2025-12-04T08:55:47.6987798Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T08:55:47.6988354Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T08:55:47.6989095Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T08:55:47.6989514Z     >>> batched_dot(x, y)
2025-12-04T08:55:47.6989790Z 
2025-12-04T08:55:47.6990254Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T08:55:47.6990976Z model authoring experience.
2025-12-04T08:55:47.6991156Z 
2025-12-04T08:55:47.6991265Z     >>> batch_size, feature_size = 3, 5
2025-12-04T08:55:47.6991651Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T08:55:47.6992025Z     >>>
2025-12-04T08:55:47.6992235Z     >>> def model(feature_vec):
2025-12-04T08:55:47.6992559Z     >>> # Very simple linear model with activation
2025-12-04T08:55:47.6992929Z     >>>     return feature_vec.dot(weights).relu()
2025-12-04T08:55:47.6993250Z     >>>
2025-12-04T08:55:47.6993519Z     >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T08:55:47.6994040Z     >>> result = torch.vmap(model)(examples)
2025-12-04T08:55:47.6994268Z 
2025-12-04T08:55:47.6994532Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T08:55:47.6995124Z or impossible to batch. One example is higher-order gradient computation.
2025-12-04T08:55:47.6995705Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T08:55:47.6996285Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T08:55:47.6996869Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T08:55:47.6997480Z we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T08:55:47.6997943Z call to ``autograd.grad``.
2025-12-04T08:55:47.6998116Z 
2025-12-04T08:55:47.6998216Z     >>> # Setup
2025-12-04T08:55:47.6998474Z     >>> N = 5
2025-12-04T08:55:47.6998701Z     >>> f = lambda x: x**2
2025-12-04T08:55:47.6998997Z     >>> x = torch.randn(N, requires_grad=True)
2025-12-04T08:55:47.6999310Z     >>> y = f(x)
2025-12-04T08:55:47.6999547Z     >>> I_N = torch.eye(N)
2025-12-04T08:55:47.6999810Z     >>>
2025-12-04T08:55:47.7000018Z     >>> # Sequential approach
2025-12-04T08:55:47.7000419Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T08:55:47.7000862Z     >>>                  for v in I_N.unbind()]
2025-12-04T08:55:47.7001196Z     >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T08:55:47.7001510Z     >>>
2025-12-04T08:55:47.7001742Z     >>> # vectorized gradient computation
2025-12-04T08:55:47.7002060Z     >>> def get_vjp(v):
2025-12-04T08:55:47.7002332Z     >>>     return torch.autograd.grad(y, x, v)
2025-12-04T08:55:47.7002687Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T08:55:47.7002908Z 
2025-12-04T08:55:47.7003180Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T08:55:47.7003565Z 
2025-12-04T08:55:47.7003666Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T08:55:47.7003980Z     >>> batched_dot = torch.vmap(
2025-12-04T08:55:47.7004283Z     ...     torch.vmap(torch.dot)
2025-12-04T08:55:47.7004584Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T08:55:47.7004947Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T08:55:47.7005321Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T08:55:47.7005554Z 
2025-12-04T08:55:47.7005804Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T08:55:47.7006300Z the dimension that each inputs are batched along as
2025-12-04T08:55:47.7006570Z 
2025-12-04T08:55:47.7006671Z     >>> torch.dot  # [N], [N] -> []
2025-12-04T08:55:47.7007089Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T08:55:47.7007551Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T08:55:47.7007869Z     >>> batched_dot(
2025-12-04T08:55:47.7008104Z     ...     x, y
2025-12-04T08:55:47.7008437Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T08:55:47.7008739Z 
2025-12-04T08:55:47.7008996Z If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T08:55:47.7009621Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T08:55:47.7009932Z 
2025-12-04T08:55:47.7010044Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T08:55:47.7010466Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T08:55:47.7010944Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T08:55:47.7011272Z     >>> batched_dot(
2025-12-04T08:55:47.7011509Z     ...     x, y
2025-12-04T08:55:47.7011825Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T08:55:47.7012150Z 
2025-12-04T08:55:47.7012382Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T08:55:47.7012851Z matching the shape of the input:
2025-12-04T08:55:47.7013046Z 
2025-12-04T08:55:47.7013245Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T08:55:47.7013619Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T08:55:47.7013951Z     >>> input = {"x": x, "y": y}
2025-12-04T08:55:47.7014314Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T08:55:47.7014696Z     >>> batched_dot(input)
2025-12-04T08:55:47.7014878Z 
2025-12-04T08:55:47.7015150Z By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T08:55:47.7015673Z along any dimension by using ``out_dims``
2025-12-04T08:55:47.7015899Z 
2025-12-04T08:55:47.7015994Z     >>> f = lambda x: x**2
2025-12-04T08:55:47.7016264Z     >>> x = torch.randn(2, 5)
2025-12-04T08:55:47.7016574Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T08:55:47.7016912Z     >>> batched_pow(x)  # [5, 2]
2025-12-04T08:55:47.7017157Z 
2025-12-04T08:55:47.7017446Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T08:55:47.7017956Z accept kwargs
2025-12-04T08:55:47.7018089Z 
2025-12-04T08:55:47.7018205Z     >>> x = torch.randn([2, 5])
2025-12-04T08:55:47.7018482Z     >>> def fn(x, scale=4.):
2025-12-04T08:55:47.7018757Z     >>>   return x * scale
2025-12-04T08:55:47.7019010Z     >>>
2025-12-04T08:55:47.7019222Z     >>> batched_pow = torch.vmap(fn)
2025-12-04T08:55:47.7019574Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T08:55:47.7020048Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T08:55:47.7020387Z 
2025-12-04T08:55:47.7020493Z .. note::
2025-12-04T08:55:47.7020821Z     vmap does not provide general autobatching or handle variable-length
2025-12-04T08:55:47.7021261Z     sequences out of the box.
2025-12-04T08:55:47.7021442Z 
2025-12-04T08:55:47.7021974Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T08:55:47.7022608Z 
2025-12-04T08:55:47.7022694Z _._ = None
2025-12-04T08:55:47.7022899Z ^
2025-12-04T08:55:47.7023534Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=306.
2025-12-04T08:55:47.7024378Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:47.7024984Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T08:55:47.7025523Z     input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T08:55:47.7025949Z     compute higher-order gradients.
2025-12-04T08:55:47.7026158Z 
2025-12-04T08:55:47.7026253Z     Args:
2025-12-04T08:55:47.7026571Z         func (Callable): A Python function that takes one or more arguments.
2025-12-04T08:55:47.7027162Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T08:55:47.7027815Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T08:55:47.7028306Z             ``(output, aux)``.
2025-12-04T08:55:47.7028756Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T08:55:47.7029395Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T08:55:47.7029932Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T08:55:47.7030506Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T08:55:47.7030793Z 
2025-12-04T08:55:47.7030876Z     Returns:
2025-12-04T08:55:47.7031292Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T08:55:47.7031938Z         the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T08:55:47.7032557Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T08:55:47.7033206Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T08:55:47.7033795Z         respect to each ``argnums`` value is returned.
2025-12-04T08:55:47.7034050Z 
2025-12-04T08:55:47.7034162Z     Example of using ``grad``:
2025-12-04T08:55:47.7034347Z 
2025-12-04T08:55:47.7034444Z         >>> # xdoctest: +SKIP
2025-12-04T08:55:47.7034746Z         >>> from torch.func import grad
2025-12-04T08:55:47.7035063Z         >>> x = torch.randn([])
2025-12-04T08:55:47.7035359Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T08:55:47.7035720Z         >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T08:55:47.7036042Z         >>>
2025-12-04T08:55:47.7036258Z         >>> # Second-order gradients
2025-12-04T08:55:47.7036610Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T08:55:47.7037022Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T08:55:47.7037296Z 
2025-12-04T08:55:47.7037553Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T08:55:47.7037920Z 
2025-12-04T08:55:47.7038022Z         >>> # xdoctest: +SKIP
2025-12-04T08:55:47.7038328Z         >>> from torch.func import grad, vmap
2025-12-04T08:55:47.7038671Z         >>> batch_size, feature_size = 3, 5
2025-12-04T08:55:47.7038963Z         >>>
2025-12-04T08:55:47.7039209Z         >>> def model(weights, feature_vec):
2025-12-04T08:55:47.7039569Z         >>> # Very simple linear model with activation
2025-12-04T08:55:47.7039918Z         >>>     assert feature_vec.dim() == 1
2025-12-04T08:55:47.7040270Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T08:55:47.7040594Z         >>>
2025-12-04T08:55:47.7040837Z         >>> def compute_loss(weights, example, target):
2025-12-04T08:55:47.7041194Z         >>>     y = model(weights, example)
2025-12-04T08:55:47.7041545Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T08:55:47.7041880Z         >>>
2025-12-04T08:55:47.7042163Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T08:55:47.7042609Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T08:55:47.7042992Z         >>> targets = torch.randn(batch_size)
2025-12-04T08:55:47.7043329Z         >>> inputs = (weights, examples, targets)
2025-12-04T08:55:47.7043795Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T08:55:47.7044239Z         ...     *inputs
2025-12-04T08:55:47.7044467Z         ... )
2025-12-04T08:55:47.7044601Z 
2025-12-04T08:55:47.7044776Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T08:55:47.7045077Z 
2025-12-04T08:55:47.7045173Z         >>> # xdoctest: +SKIP
2025-12-04T08:55:47.7045470Z         >>> from torch.func import grad
2025-12-04T08:55:47.7045785Z         >>> def my_loss_func(y, y_pred):
2025-12-04T08:55:47.7046131Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T08:55:47.7046498Z         >>>    loss = loss_per_sample.mean()
2025-12-04T08:55:47.7046835Z         >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T08:55:47.7047161Z         >>>
2025-12-04T08:55:47.7047433Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T08:55:47.7047838Z         >>> y_true = torch.rand(4)
2025-12-04T08:55:47.7048155Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T08:55:47.7048506Z         >>> out = fn(y_true, y_preds)
2025-12-04T08:55:47.7048956Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T08:55:47.7049313Z 
2025-12-04T08:55:47.7049404Z     .. note::
2025-12-04T08:55:47.7049702Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T08:55:47.7049984Z 
2025-12-04T08:55:47.7050140Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T08:55:47.7050396Z 
2025-12-04T08:55:47.7050505Z             >>> # xdoctest: +SKIP
2025-12-04T08:55:47.7050780Z             >>> def f(x):
2025-12-04T08:55:47.7051053Z             >>>     with torch.no_grad():
2025-12-04T08:55:47.7051361Z             >>>         c = x ** 2
2025-12-04T08:55:47.7051701Z             >>>     return x - c
2025-12-04T08:55:47.7051896Z 
2025-12-04T08:55:47.7052094Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T08:55:47.7052405Z 
2025-12-04T08:55:47.7052598Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T08:55:47.7052896Z 
2025-12-04T08:55:47.7053005Z             >>> # xdoctest: +SKIP
2025-12-04T08:55:47.7053292Z             >>> with torch.no_grad():
2025-12-04T08:55:47.7053592Z             >>>     grad(f)(x)
2025-12-04T08:55:47.7053763Z 
2025-12-04T08:55:47.7053995Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T08:55:47.7054546Z         outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T08:55:47.7055110Z         should not depend on the result of a context manager outside of ``f``.
2025-12-04T08:55:47.7055491Z 
2025-12-04T08:55:47.7055572Z     
2025-12-04T08:55:47.7056214Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T08:55:47.7056851Z 
2025-12-04T08:55:47.7056935Z _._ = None
2025-12-04T08:55:47.7057148Z ^
2025-12-04T08:55:49.4075519Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py line=402.
2025-12-04T08:55:49.4076519Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:49.4077067Z Register a FakeTensor implementation for this custom op.
2025-12-04T08:55:49.4077356Z 
2025-12-04T08:55:49.4077612Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T08:55:49.4077981Z 
2025-12-04T08:55:49.4078198Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T08:55:49.4078812Z         specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T08:55:49.4079324Z         Given some input Tensors with certain properties
2025-12-04T08:55:49.4079847Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T08:55:49.4080481Z         the output Tensors are.
2025-12-04T08:55:49.4080669Z 
2025-12-04T08:55:49.4080874Z         Please see :func:`torch.library.register_fake` for more details.
2025-12-04T08:55:49.4081205Z 
2025-12-04T08:55:49.4081290Z         Args:
2025-12-04T08:55:49.4081595Z             fn (Callable): The function to register as the FakeTensor
2025-12-04T08:55:49.4081973Z                 implementation.
2025-12-04T08:55:49.4082168Z 
2025-12-04T08:55:49.4082256Z         Examples:
2025-12-04T08:55:49.4082496Z             >>> import torch
2025-12-04T08:55:49.4082764Z             >>> import numpy as np
2025-12-04T08:55:49.4083072Z             >>> from torch import Tensor
2025-12-04T08:55:49.4083376Z             >>>
2025-12-04T08:55:49.4083700Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T08:55:49.4084210Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T08:55:49.4084908Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T08:55:49.4085343Z             >>>     return (x @ weight.t()) + bias
2025-12-04T08:55:49.4085651Z             >>>
2025-12-04T08:55:49.4085899Z             >>> @linear.register_fake
2025-12-04T08:55:49.4086218Z             >>> def _(x, weight, bias):
2025-12-04T08:55:49.4086518Z             >>>     assert x.dim() == 2
2025-12-04T08:55:49.4086838Z             >>>     assert weight.dim() == 2
2025-12-04T08:55:49.4087165Z             >>>     assert bias.dim() == 1
2025-12-04T08:55:49.4087509Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T08:55:49.4087870Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T08:55:49.4088243Z             >>>     assert x.device == weight.device
2025-12-04T08:55:49.4088728Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T08:55:49.4089067Z             >>>
2025-12-04T08:55:49.4089311Z             >>> x = torch.randn(2, 2)
2025-12-04T08:55:49.4089630Z             >>> weight = torch.randn(2, 2)
2025-12-04T08:55:49.4089938Z             >>> bias = torch.randn(2)
2025-12-04T08:55:49.4090279Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:55:49.4090722Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T08:55:49.4091169Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:55:49.4091653Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T08:55:49.4092102Z             >>>
2025-12-04T08:55:49.4092412Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T08:55:49.4092898Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T08:55:49.4093386Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T08:55:49.4093729Z             >>>     x_np = x.cpu().numpy()
2025-12-04T08:55:49.4094076Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T08:55:49.4094451Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T08:55:49.4094789Z             >>>
2025-12-04T08:55:49.4095031Z             >>> @nonzero.register_fake
2025-12-04T08:55:49.4095324Z             >>> def _(x):
2025-12-04T08:55:49.4095638Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T08:55:49.4096077Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T08:55:49.4096507Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T08:55:49.4096932Z             >>> # represents the data-dependent size.
2025-12-04T08:55:49.4097298Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T08:55:49.4097639Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T08:55:49.4097977Z             >>>     shape = [nnz, x.dim()]
2025-12-04T08:55:49.4098349Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T08:55:49.4098705Z             >>>     return result
2025-12-04T08:55:49.4098990Z             >>>
2025-12-04T08:55:49.4099245Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T08:55:49.4099617Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:55:49.4100010Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T08:55:49.4100647Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:55:49.4101033Z             >>> assert torch.allclose(out, x.nonzero())
2025-12-04T08:55:49.4101274Z 
2025-12-04T08:55:49.4101359Z         
2025-12-04T08:55:49.4102018Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T08:55:49.4102682Z 
2025-12-04T08:55:49.4102767Z _._ = None
2025-12-04T08:55:49.4102981Z ^
2025-12-04T08:55:49.4727704Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_profile.py line=94.
2025-12-04T08:55:49.4728960Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T08:55:49.4729345Z 
2025-12-04T08:55:49.4729587Z Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T08:55:49.4730172Z kernel registration will override any existing fake kernel registrations.
2025-12-04T08:55:49.4730549Z 
2025-12-04T08:55:49.4730760Z The input is a dictionary mapping operator names to a set of operator
2025-12-04T08:55:49.4731323Z profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T08:55:49.4731867Z are a record of the input and output tensor metadata. Based on this
2025-12-04T08:55:49.4732428Z information we will match a given input to the recorded profile, and return
2025-12-04T08:55:49.4733023Z an output with the same metadata as in the recorded profile. If a profile
2025-12-04T08:55:49.4733615Z doesn't exist then an exception will be thrown.
2025-12-04T08:55:49.4733868Z 
2025-12-04T08:55:49.4734100Z The fake kernel generation is considered unsafe because it relies on the
2025-12-04T08:55:49.4734681Z rigid, pre-defined operator profiles that do not account for potential
2025-12-04T08:55:49.4735277Z variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T08:55:49.4735891Z fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T08:55:49.4736511Z possible that data-dependent operations may produce outputs of different
2025-12-04T08:55:49.4737093Z ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T08:55:49.4737652Z are inflexible and unable to accommodate these nuances, making them
2025-12-04T08:55:49.4738069Z potentially unsafe.
2025-12-04T08:55:49.4738286Z 
2025-12-04T08:55:49.4738369Z Args:
2025-12-04T08:55:49.4738708Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T08:55:49.4739238Z         name to a set of operator profiles from which we will generate fake
2025-12-04T08:55:49.4739656Z         kernels.
2025-12-04T08:55:49.4739812Z 
2025-12-04T08:55:49.4739900Z Examples:
2025-12-04T08:55:49.4740019Z 
2025-12-04T08:55:49.4740198Z     >>> # Example: Registering an op-profile from draft-export
2025-12-04T08:55:49.4740563Z     >>> import torch
2025-12-04T08:55:49.4740878Z     >>> from torch.export._draft_export import draft_export
2025-12-04T08:55:49.4741241Z     >>>
2025-12-04T08:55:49.4741543Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T08:55:49.4741967Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T08:55:49.4742299Z     >>>     return x + y
2025-12-04T08:55:49.4742533Z     >>>
2025-12-04T08:55:49.4742756Z     >>> class M(torch.nn.Module):
2025-12-04T08:55:49.4743063Z     >>>     def forward(self, a, b):
2025-12-04T08:55:49.4743416Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T08:55:49.4743766Z     >>>         return res
2025-12-04T08:55:49.4744021Z     >>>
2025-12-04T08:55:49.4744307Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T08:55:49.4744664Z     >>>
2025-12-04T08:55:49.4745076Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T08:55:49.4745613Z     >>>     decomp = ep.run_decompositions()
2025-12-04T08:55:49.4745836Z 
2025-12-04T08:55:49.4745841Z 
2025-12-04T08:55:49.4746317Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T08:55:49.4746919Z 
2025-12-04T08:55:49.8194334Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-12-04T08:55:49.8195585Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:49.8195954Z 
2025-12-04T08:55:49.8196245Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T08:55:49.8197075Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T08:55:49.8197673Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T08:55:49.8198136Z input by the user.
2025-12-04T08:55:49.8198510Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T08:55:49.8198996Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T08:55:49.8199269Z 
2025-12-04T08:55:49.8199374Z Note::
2025-12-04T08:55:49.8199816Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T08:55:49.8200254Z 
2025-12-04T08:55:49.8200335Z Args:
2025-12-04T08:55:49.8200549Z     model (nn.Module):
2025-12-04T08:55:49.8200942Z         The model whose layers will be sparsified. The layers that needs to be
2025-12-04T08:55:49.8201642Z         sparsified should be added separately using the register_layer() function
2025-12-04T08:55:49.8202112Z     aggregate_fn (Optional, Callable):
2025-12-04T08:55:49.8202587Z         default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T08:55:49.8203134Z         specifies how inputs should be aggregated over time.
2025-12-04T08:55:49.8203689Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T08:55:49.8204185Z         Example
2025-12-04T08:55:49.8204496Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T08:55:49.8204893Z             reduce_fn (Optional, Callable):
2025-12-04T08:55:49.8205363Z                 default reduce_fn that is used if not specified while registering the layer.
2025-12-04T08:55:49.8205986Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T08:55:49.8206536Z                 calling agg_fn() on all inputs.
2025-12-04T08:55:49.8206848Z                 Example
2025-12-04T08:55:49.8207207Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T08:55:49.8207644Z             mask_fn (Optional, Callable):
2025-12-04T08:55:49.8208165Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T08:55:49.8208850Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T08:55:49.8209328Z                 register_layer().
2025-12-04T08:55:49.8209875Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T08:55:49.8210426Z                 arguments.
2025-12-04T08:55:49.8210708Z             features (Optional, list):
2025-12-04T08:55:49.8211054Z                 default selected features to sparsify.
2025-12-04T08:55:49.8211552Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T08:55:49.8212046Z                 For example,
2025-12-04T08:55:49.8212480Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T08:55:49.8212978Z             feature_dim (Optional, int):
2025-12-04T08:55:49.8213466Z                 default dimension of input features. Again, features along this dim will be chosen
2025-12-04T08:55:49.8213970Z                 for sparsification.
2025-12-04T08:55:49.8214283Z             sparse_config (Dict):
2025-12-04T08:55:49.8214691Z                 Default configuration for the mask_fn. This config will be passed
2025-12-04T08:55:49.8215132Z                 with the mask_fn()
2025-12-04T08:55:49.8215326Z 
2025-12-04T08:55:49.8215425Z Example:
2025-12-04T08:55:49.8215634Z     >>> # xdoctest: +SKIP
2025-12-04T08:55:49.8215905Z     >>> model = SomeModel()
2025-12-04T08:55:49.8216332Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T08:55:49.8216805Z     >>> # Initialize aggregate_fn
2025-12-04T08:55:49.8217089Z     >>> def agg_fn(x, y):
2025-12-04T08:55:49.8217348Z     >>>     return x + y
2025-12-04T08:55:49.8217648Z     >>>
2025-12-04T08:55:49.8217853Z     >>> # Initialize reduce_fn
2025-12-04T08:55:49.8218135Z     >>> def reduce_fn(x):
2025-12-04T08:55:49.8218411Z     >>>     return torch.mean(x, dim=0)
2025-12-04T08:55:49.8218699Z     >>>
2025-12-04T08:55:49.8218917Z     >>> # Initialize mask_fn
2025-12-04T08:55:49.8219195Z     >>> def mask_fn(data):
2025-12-04T08:55:49.8219494Z     >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T08:55:49.8219837Z     >>>
2025-12-04T08:55:49.8220036Z     >>>
2025-12-04T08:55:49.8220254Z     >>> act_sparsifier.register_layer(
2025-12-04T08:55:49.8220573Z     ...     model.some_layer,
2025-12-04T08:55:49.8220862Z     ...     aggregate_fn=agg_fn,
2025-12-04T08:55:49.8221145Z     ...     reduce_fn=reduce_fn,
2025-12-04T08:55:49.8221431Z     ...     mask_fn=mask_fn,
2025-12-04T08:55:49.8221692Z     ... )
2025-12-04T08:55:49.8221966Z     >>>
2025-12-04T08:55:49.8222174Z     >>> # start training process
2025-12-04T08:55:49.8222459Z     >>> for _ in [...]:
2025-12-04T08:55:49.8222707Z     >>> # epoch starts
2025-12-04T08:55:49.8223021Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T08:55:49.8223403Z     >>> # epoch ends
2025-12-04T08:55:49.8223668Z     >>>     act_sparsifier.step()
2025-12-04T08:55:49.8223959Z     >>> # end training process
2025-12-04T08:55:49.8224253Z     >>> sparsifier.squash_mask()
2025-12-04T08:55:49.8224445Z 
2025-12-04T08:55:49.8224960Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T08:55:49.8225572Z 
2025-12-04T08:55:49.8225670Z _._ = None
2025-12-04T08:55:49.8225879Z ^
2025-12-04T08:55:50.3284935Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py line=547.
2025-12-04T08:55:50.3286161Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:50.3286540Z 
2025-12-04T08:55:50.3286829Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T08:55:50.3287504Z The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T08:55:50.3287977Z ``mesh_dim_names``
2025-12-04T08:55:50.3288134Z 
2025-12-04T08:55:50.3288236Z Args:
2025-12-04T08:55:50.3288590Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T08:55:50.3289138Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T08:55:50.3289512Z Returns:
2025-12-04T08:55:50.3289741Z     A :class:`DeviceMesh` object
2025-12-04T08:55:50.3289932Z 
2025-12-04T08:55:50.3290227Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T08:55:50.3290725Z In the first example:
2025-12-04T08:55:50.3291138Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T08:55:50.3291753Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T08:55:50.3292347Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T08:55:50.3292904Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T08:55:50.3293471Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T08:55:50.3294036Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T08:55:50.3294371Z 
2025-12-04T08:55:50.3294469Z In the second example:
2025-12-04T08:55:50.3294900Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T08:55:50.3295550Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T08:55:50.3296207Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T08:55:50.3296921Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T08:55:50.3297312Z 
2025-12-04T08:55:50.3297416Z Example::
2025-12-04T08:55:50.3297548Z 
2025-12-04T08:55:50.3297650Z     >>> # xdoctest: +SKIP("no rank")
2025-12-04T08:55:50.3298033Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T08:55:50.3298388Z     >>>
2025-12-04T08:55:50.3298709Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T08:55:50.3299170Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T08:55:50.3299659Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T08:55:50.3300139Z     >>> tp_mesh = mesh_2d["tp"]
2025-12-04T08:55:50.3300431Z     >>> dp_mesh = mesh_2d["dp"]
2025-12-04T08:55:50.3300687Z     >>>
2025-12-04T08:55:50.3301000Z     >>> # Initialize a 3D mesh.
2025-12-04T08:55:50.3301469Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T08:55:50.3302175Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T08:55:50.3302705Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T08:55:50.3303038Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T08:55:50.3303253Z 
2025-12-04T08:55:50.3303946Z 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))
2025-12-04T08:55:50.3304733Z 
2025-12-04T08:55:50.3304988Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T08:55:50.3305500Z                                                                                  ^
2025-12-04T08:55:50.6197683Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-12-04T08:55:50.6198680Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:50.6199055Z 
2025-12-04T08:55:50.6199367Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T08:55:50.6199774Z 
2025-12-04T08:55:50.6200067Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T08:55:50.6200502Z 
2025-12-04T08:55:50.6200779Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T08:55:50.6201302Z will be visible to the whole process.
2025-12-04T08:55:50.6201519Z 
2025-12-04T08:55:50.6201809Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T08:55:50.6202214Z 
2025-12-04T08:55:50.6202337Z 1) set_up_planner - called on all ranks.
2025-12-04T08:55:50.6202700Z     Signals the start of a checkpoint save.
2025-12-04T08:55:50.6202945Z 
2025-12-04T08:55:50.6203069Z 2) create_local_plan - called on all ranks.
2025-12-04T08:55:50.6203596Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T08:55:50.6204006Z 
2025-12-04T08:55:50.6204187Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T08:55:50.6204690Z     Takes the SavePlan from all ranks and make any global decision.
2025-12-04T08:55:50.6205002Z 
2025-12-04T08:55:50.6205128Z 4) finish_plan - called on all ranks.
2025-12-04T08:55:50.6205549Z     This gives each rank a chance to adjust to global planning decisions.
2025-12-04T08:55:50.6205901Z 
2025-12-04T08:55:50.6206055Z 5) resolve_data - called multiple times on each rank
2025-12-04T08:55:50.6206528Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T08:55:50.6206851Z 
2025-12-04T08:55:50.6207170Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T08:55:50.6207778Z most changes can be expressed by changes in a single method.
2025-12-04T08:55:50.6208259Z 
2025-12-04T08:55:50.6208380Z There are 3 usual patterns of extension:
2025-12-04T08:55:50.6208620Z 
2025-12-04T08:55:50.6208873Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T08:55:50.6209478Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T08:55:50.6209814Z 
2025-12-04T08:55:50.6209927Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:50.6210281Z >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T08:55:50.6210625Z >>>     def set_up_planner(
2025-12-04T08:55:50.6210879Z >>>         self,
2025-12-04T08:55:50.6211123Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T08:55:50.6211464Z >>>         storage_meta: Optional[StorageMeta],
2025-12-04T08:55:50.6211808Z >>>         is_coordinator: bool,
2025-12-04T08:55:50.6212083Z >>>     ) -> None:
2025-12-04T08:55:50.6212332Z >>> # prefix all keys with `foo_``
2025-12-04T08:55:50.6212960Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T08:55:50.6213370Z 
2025-12-04T08:55:50.6213702Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T08:55:50.6214163Z 
2025-12-04T08:55:50.6214276Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:50.6214646Z >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T08:55:50.6215073Z >>>     def create_local_plan(self):
2025-12-04T08:55:50.6215441Z >>>         plan = super().create_local_plan()
2025-12-04T08:55:50.6215838Z >>>         for p in plan:
2025-12-04T08:55:50.6216138Z >>>             if p.tensor_data is not None:
2025-12-04T08:55:50.6216551Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T08:55:50.6217073Z >>>         return plan
2025-12-04T08:55:50.6217317Z >>>
2025-12-04T08:55:50.6217547Z >>>     def resolve_data(self, write_item):
2025-12-04T08:55:50.6217891Z >>>         item = super().resolve_data(write_item)
2025-12-04T08:55:50.6218405Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T08:55:50.6218799Z 
2025-12-04T08:55:50.6219150Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T08:55:50.6219612Z 
2025-12-04T08:55:50.6219722Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:50.6220059Z >>> from itertools import zip_longest
2025-12-04T08:55:50.6220387Z >>> from dataclasses import replace
2025-12-04T08:55:50.6220773Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T08:55:50.6221318Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T08:55:50.6221847Z >>> # This sample doesn't handle ShardedTensors
2025-12-04T08:55:50.6222222Z >>>     def create_global_plan(self, all_plans):
2025-12-04T08:55:50.6222597Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T08:55:50.6222969Z >>>         items_per_rank = [
2025-12-04T08:55:50.6223290Z >>>             [item for item in items if item is not None]
2025-12-04T08:55:50.6223694Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T08:55:50.6224054Z >>>         ]
2025-12-04T08:55:50.6224281Z >>>         all_plans = [
2025-12-04T08:55:50.6224562Z >>>             replace(plan, items=items)
2025-12-04T08:55:50.6224960Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T08:55:50.6225357Z >>>         ]
2025-12-04T08:55:50.6225628Z >>>         return super().create_global_plan(all_plans)
2025-12-04T08:55:50.6225877Z 
2025-12-04T08:55:50.6226139Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T08:55:50.6226792Z accomplished by having each rank contribute their data items in the local plan and
2025-12-04T08:55:50.6227303Z the global planner aggregate them:
2025-12-04T08:55:50.6227509Z 
2025-12-04T08:55:50.6227635Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:50.6227997Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T08:55:50.6228473Z >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T08:55:50.6228832Z >>>         plan = super().create_local_plan()
2025-12-04T08:55:50.6229214Z >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T08:55:50.6229574Z >>>
2025-12-04T08:55:50.6230067Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T08:55:50.6230678Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T08:55:50.6231155Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T08:55:50.6231603Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T08:55:50.6231999Z >>>         return global_plan, metadata
2025-12-04T08:55:50.6232216Z 
2025-12-04T08:55:50.6232821Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T08:55:50.6233479Z 
2025-12-04T08:55:50.6233564Z _._ = None
2025-12-04T08:55:50.6233773Z ^
2025-12-04T08:55:50.6234519Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-12-04T08:55:50.6235479Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:50.6235840Z 
2025-12-04T08:55:50.6236124Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T08:55:50.6236539Z 
2025-12-04T08:55:50.6236824Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T08:55:50.6237235Z 
2025-12-04T08:55:50.6237526Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T08:55:50.6238090Z will be visible to the whole process.
2025-12-04T08:55:50.6238301Z 
2025-12-04T08:55:50.6238581Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T08:55:50.6238996Z 
2025-12-04T08:55:50.6239112Z 1) set_up_planner - called on all ranks.
2025-12-04T08:55:50.6239470Z     Signals the start of loading a checkpoint.
2025-12-04T08:55:50.6239705Z 
2025-12-04T08:55:50.6239824Z 2) create_local_plan - called on all ranks.
2025-12-04T08:55:50.6240343Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T08:55:50.6240759Z 
2025-12-04T08:55:50.6240938Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T08:55:50.6241430Z     Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T08:55:50.6241739Z 
2025-12-04T08:55:50.6241882Z 4) load_bytes - called multiple times on each rank
2025-12-04T08:55:50.6242309Z     This is called once per non-tensor value in state_dict.
2025-12-04T08:55:50.6242585Z 
2025-12-04T08:55:50.6242822Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T08:55:50.6243349Z     They are called in pair for each Tensor value in state_dict.
2025-12-04T08:55:50.6243644Z 
2025-12-04T08:55:50.6243948Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T08:55:50.6244563Z most changes can be expressed by changes in a single method.
2025-12-04T08:55:50.6244857Z 
2025-12-04T08:55:50.6244997Z There are two usual patterns of extension:
2025-12-04T08:55:50.6245230Z 
2025-12-04T08:55:50.6245498Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T08:55:50.6246123Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T08:55:50.6246738Z to keep a reference to the original state_dict as load happens in place so
2025-12-04T08:55:50.6247211Z we need to be able to perform it in place
2025-12-04T08:55:50.6247439Z 
2025-12-04T08:55:50.6247552Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:50.6247918Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T08:55:50.6248270Z >>>     def set_up_planner(
2025-12-04T08:55:50.6248565Z >>>         self,
2025-12-04T08:55:50.6248819Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T08:55:50.6249144Z >>>         metadata: Metadata,
2025-12-04T08:55:50.6249438Z >>>         is_coordinator: bool,
2025-12-04T08:55:50.6249712Z >>>     ) -> None:
2025-12-04T08:55:50.6249973Z >>>         self.original_state_dict = state_dict
2025-12-04T08:55:50.6250386Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T08:55:50.6250752Z >>>
2025-12-04T08:55:50.6250982Z >>>         if self.flatten_sharded_tensors:
2025-12-04T08:55:50.6251359Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T08:55:50.6251697Z >>>
2025-12-04T08:55:50.6251916Z >>>         if self.flatten_state_dict:
2025-12-04T08:55:50.6252317Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T08:55:50.6252691Z >>>
2025-12-04T08:55:50.6252972Z >>>         self.state_dict = state_dict
2025-12-04T08:55:50.6253297Z >>>         self.metadata = metadata
2025-12-04T08:55:50.6253625Z >>>         self.is_coordinator = is_coordinator
2025-12-04T08:55:50.6253926Z >>>
2025-12-04T08:55:50.6254158Z >>>     def load_bytes(self, read_item, value):
2025-12-04T08:55:50.6254496Z >>> # Remove the "foo_" prefix
2025-12-04T08:55:50.6254993Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T08:55:50.6255442Z 
2025-12-04T08:55:50.6255446Z 
2025-12-04T08:55:50.6255704Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T08:55:50.6256082Z 
2025-12-04T08:55:50.6256205Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:50.6256583Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T08:55:50.6256961Z >>>     def resolve_tensor(self, read_item):
2025-12-04T08:55:50.6257355Z >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T08:55:50.6257754Z >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T08:55:50.6258086Z >>>
2025-12-04T08:55:50.6258332Z >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T08:55:50.6258730Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T08:55:50.6258996Z 
2025-12-04T08:55:50.6259528Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T08:55:50.6260186Z 
2025-12-04T08:55:50.6260269Z _._ = None
2025-12-04T08:55:50.6260473Z ^
2025-12-04T08:55:50.8477728Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py line=295.
2025-12-04T08:55:50.8479590Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:50.8480522Z 
2025-12-04T08:55:50.8480957Z ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T08:55:50.8481933Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T08:55:50.8482875Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T08:55:50.8483906Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T08:55:50.8484938Z is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T08:55:50.8485662Z follows:
2025-12-04T08:55:50.8485880Z 
2025-12-04T08:55:50.8486089Z     >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T08:55:50.8486911Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T08:55:50.8487765Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T08:55:50.8488614Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T08:55:50.8489621Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T08:55:50.8490426Z     >>>     state = fsdp.state_dict()
2025-12-04T08:55:50.8491171Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T08:55:50.8492237Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T08:55:50.8493608Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T08:55:50.8494438Z     >>> if dist.get_rank() == 0:
2025-12-04T08:55:50.8495090Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T08:55:50.8495903Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T08:55:50.8496559Z     >>>     model.load_state_dict(state_dict)
2025-12-04T08:55:50.8497403Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T08:55:50.8498523Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T08:55:50.8499362Z     >>> fsdp = FSDP(
2025-12-04T08:55:50.8499763Z     ...     model,
2025-12-04T08:55:50.8500224Z     ...     device_id=torch.cuda.current_device(),
2025-12-04T08:55:50.8501054Z     ...     auto_wrap_policy=...,
2025-12-04T08:55:50.8501591Z     ...     sync_module_states=True,
2025-12-04T08:55:50.8502105Z     ... )
2025-12-04T08:55:50.8502722Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T08:55:50.8503332Z 
2025-12-04T08:55:50.8503489Z Attributes:
2025-12-04T08:55:50.8504076Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T08:55:50.8504961Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T08:55:50.8505805Z         ranks save the full state dict. (Default: ``False``)
2025-12-04T08:55:50.8506311Z 
2025-12-04T08:55:50.8507242Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T08:55:50.8508398Z 
2025-12-04T08:55:50.8508695Z _._ = None
2025-12-04T08:55:50.8509063Z ^
2025-12-04T08:55:52.2539268Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrize.py line=437.
2025-12-04T08:55:52.2541175Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:52.2542181Z Register a parametrization to a tensor in a module.
2025-12-04T08:55:52.2542655Z 
2025-12-04T08:55:52.2543145Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T08:55:52.2544420Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T08:55:52.2545672Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T08:55:52.2546947Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T08:55:52.2547727Z 
2025-12-04T08:55:52.2548278Z     The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T08:55:52.2549552Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T08:55:52.2550318Z 
2025-12-04T08:55:52.2550818Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T08:55:52.2551726Z     ``module.parametrizations.weight``.
2025-12-04T08:55:52.2552143Z 
2025-12-04T08:55:52.2552386Z     The original tensor will be accessible under
2025-12-04T08:55:52.2553114Z     ``module.parametrizations.weight.original``.
2025-12-04T08:55:52.2553595Z 
2025-12-04T08:55:52.2554095Z     Parametrizations may be concatenated by registering several parametrizations
2025-12-04T08:55:52.2555000Z     on the same attribute.
2025-12-04T08:55:52.2555336Z 
2025-12-04T08:55:52.2555794Z     The training mode of a registered parametrization is updated on registration
2025-12-04T08:55:52.2556677Z     to match the training mode of the host module
2025-12-04T08:55:52.2557137Z 
2025-12-04T08:55:52.2557709Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T08:55:52.2558752Z     using the context manager :func:`cached`.
2025-12-04T08:55:52.2559200Z 
2025-12-04T08:55:52.2559651Z     A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T08:55:52.2560555Z 
2025-12-04T08:55:52.2560780Z     .. code-block:: python
2025-12-04T08:55:52.2561096Z 
2025-12-04T08:55:52.2561500Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T08:55:52.2562149Z 
2025-12-04T08:55:52.2562647Z     This method is called on the unparametrized tensor when the first parametrization
2025-12-04T08:55:52.2563769Z     is registered to compute the initial value of the original tensor.
2025-12-04T08:55:52.2564966Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T08:55:52.2565741Z 
2025-12-04T08:55:52.2566335Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T08:55:52.2567724Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T08:55:52.2568737Z 
2025-12-04T08:55:52.2569176Z     It is possible for the first parametrization to depend on several inputs.
2025-12-04T08:55:52.2570300Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T08:55:52.2571423Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T08:55:52.2572113Z 
2025-12-04T08:55:52.2572746Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T08:55:52.2573837Z     with names ``original0``, ``original1``,...
2025-12-04T08:55:52.2574269Z 
2025-12-04T08:55:52.2574440Z     .. note::
2025-12-04T08:55:52.2574673Z 
2025-12-04T08:55:52.2575168Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T08:55:52.2576154Z         once to perform a number of consistency checks.
2025-12-04T08:55:52.2577258Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T08:55:52.2578207Z         and nothing will be called otherwise.
2025-12-04T08:55:52.2578628Z 
2025-12-04T08:55:52.2578789Z     .. note::
2025-12-04T08:55:52.2579029Z 
2025-12-04T08:55:52.2579396Z         In most situations, ``right_inverse`` will be a function such that
2025-12-04T08:55:52.2580452Z         ``forward(right_inverse(X)) == X`` (see
2025-12-04T08:55:52.2581361Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T08:55:52.2582616Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T08:55:52.2583507Z         to relax this.
2025-12-04T08:55:52.2583787Z 
2025-12-04T08:55:52.2583964Z     .. warning::
2025-12-04T08:55:52.2584211Z 
2025-12-04T08:55:52.2584736Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T08:55:52.2585996Z         will register a number of new parameters. If such parametrization is registered
2025-12-04T08:55:52.2587247Z         after the optimizer is created, these new parameters will need to be added manually
2025-12-04T08:55:52.2588357Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T08:55:52.2588965Z 
2025-12-04T08:55:52.2589118Z     Args:
2025-12-04T08:55:52.2589726Z         module (nn.Module): module on which to register the parametrization
2025-12-04T08:55:52.2590830Z         tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T08:55:52.2591637Z             the parametrization
2025-12-04T08:55:52.2592348Z         parametrization (nn.Module): the parametrization to register
2025-12-04T08:55:52.2593086Z     Keyword args:
2025-12-04T08:55:52.2593701Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T08:55:52.2594654Z             may change the dtype and shape of the tensor. Default: `False`
2025-12-04T08:55:52.2595707Z             Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T08:55:52.2596647Z             Enable this flag at your own risk.
2025-12-04T08:55:52.2597058Z 
2025-12-04T08:55:52.2597354Z     Raises:
2025-12-04T08:55:52.2598104Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T08:55:52.2598868Z 
2025-12-04T08:55:52.2599042Z     Examples:
2025-12-04T08:55:52.2599526Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T08:55:52.2600182Z         >>> import torch
2025-12-04T08:55:52.2600664Z         >>> import torch.nn as nn
2025-12-04T08:55:52.2601254Z         >>> import torch.nn.utils.parametrize as P
2025-12-04T08:55:52.2601867Z         >>>
2025-12-04T08:55:52.2602279Z         >>> class Symmetric(nn.Module):
2025-12-04T08:55:52.2602861Z         >>>     def forward(self, X):
2025-12-04T08:55:52.2603531Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T08:55:52.2604240Z         >>>
2025-12-04T08:55:52.2604630Z         >>>     def right_inverse(self, A):
2025-12-04T08:55:52.2605359Z         >>>         return A.triu()
2025-12-04T08:55:52.2605869Z         >>>
2025-12-04T08:55:52.2606254Z         >>> m = nn.Linear(5, 5)
2025-12-04T08:55:52.2606866Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T08:55:52.2607834Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T08:55:52.2608655Z         True
2025-12-04T08:55:52.2609015Z         >>> A = torch.rand(5, 5)
2025-12-04T08:55:52.2609508Z         >>> A = A + A.T  # A is now symmetric
2025-12-04T08:55:52.2610267Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T08:55:52.2611087Z         >>> print(torch.allclose(m.weight, A))
2025-12-04T08:55:52.2611654Z         True
2025-12-04T08:55:52.2611895Z 
2025-12-04T08:55:52.2612083Z         >>> class RankOne(nn.Module):
2025-12-04T08:55:52.2612831Z         >>>     def forward(self, x, y):
2025-12-04T08:55:52.2613470Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T08:55:52.2614190Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T08:55:52.2614801Z         >>>
2025-12-04T08:55:52.2615208Z         >>>     def right_inverse(self, Z):
2025-12-04T08:55:52.2615837Z         >>> # Project Z onto the rank 1 matrices
2025-12-04T08:55:52.2616538Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T08:55:52.2617262Z         >>> # Return rescaled singular vectors
2025-12-04T08:55:52.2617894Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T08:55:52.2618591Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T08:55:52.2619250Z         >>>
2025-12-04T08:55:52.2619720Z         >>> linear_rank_one = P.register_parametrization(
2025-12-04T08:55:52.2634543Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T08:55:52.2635189Z         ... )
2025-12-04T08:55:52.2635800Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T08:55:52.2636585Z         1
2025-12-04T08:55:52.2636813Z 
2025-12-04T08:55:52.2636954Z     
2025-12-04T08:55:52.2638186Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T08:55:52.2639428Z 
2025-12-04T08:55:52.2639584Z _._ = None
2025-12-04T08:55:52.2639957Z ^
2025-12-04T08:55:52.3511697Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py line=1586.
2025-12-04T08:55:52.3513524Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:52.3514639Z Reduce learning rate when a metric has stopped improving.
2025-12-04T08:55:52.3515186Z 
2025-12-04T08:55:52.3515562Z     Models often benefit from reducing the learning rate by a factor
2025-12-04T08:55:52.3516550Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T08:55:52.3517486Z     quantity and if no improvement is seen for a 'patience' number
2025-12-04T08:55:52.3518312Z     of epochs, the learning rate is reduced.
2025-12-04T08:55:52.3518970Z 
2025-12-04T08:55:52.3519127Z     Args:
2025-12-04T08:55:52.3519600Z         optimizer (Optimizer): Wrapped optimizer.
2025-12-04T08:55:52.3520341Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T08:55:52.3521139Z             be reduced when the quantity monitored has stopped
2025-12-04T08:55:52.3521953Z             decreasing; in `max` mode it will be reduced when the
2025-12-04T08:55:52.3522874Z             quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T08:55:52.3523775Z         factor (float): Factor by which the learning rate will be
2025-12-04T08:55:52.3524580Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T08:55:52.3525461Z         patience (int): The number of allowed epochs with no improvement after
2025-12-04T08:55:52.3526343Z             which the learning rate will be reduced.
2025-12-04T08:55:52.3527401Z             For example, consider the case of having no patience (`patience = 0`).
2025-12-04T08:55:52.3528796Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T08:55:52.3530037Z             In the second epoch, if the performance is worse than the baseline,
2025-12-04T08:55:52.3530871Z             we have what is considered an intolerable epoch.
2025-12-04T08:55:52.3531880Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T08:55:52.3532950Z             the learning rate is reduced at the end of this epoch.
2025-12-04T08:55:52.3534094Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T08:55:52.3535495Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T08:55:52.3536695Z             the learning rate is not adjusted.
2025-12-04T08:55:52.3537298Z             Default: 10.
2025-12-04T08:55:52.3537945Z         threshold (float): Threshold for measuring the new optimum,
2025-12-04T08:55:52.3538811Z             to only focus on significant changes. Default: 1e-4.
2025-12-04T08:55:52.3539644Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T08:55:52.3540474Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T08:55:52.3541262Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T08:55:52.3541990Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T08:55:52.3542814Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T08:55:52.3543685Z         cooldown (int): Number of epochs to wait before resuming
2025-12-04T08:55:52.3544565Z             normal operation after lr has been reduced. Default: 0.
2025-12-04T08:55:52.3545435Z         min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T08:55:52.3546254Z             lower bound on the learning rate of all param groups
2025-12-04T08:55:52.3547025Z             or each group respectively. Default: 0.
2025-12-04T08:55:52.3547813Z         eps (float): Minimal decay applied to lr. If the difference
2025-12-04T08:55:52.3548714Z             between new and old lr is smaller than eps, the update is
2025-12-04T08:55:52.3549463Z             ignored. Default: 1e-8.
2025-12-04T08:55:52.3549861Z 
2025-12-04T08:55:52.3550110Z     Example:
2025-12-04T08:55:52.3550523Z         >>> # xdoctest: +SKIP
2025-12-04T08:55:52.3551227Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T08:55:52.3552121Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T08:55:52.3552822Z         >>> for epoch in range(10):
2025-12-04T08:55:52.3553362Z         >>>     train(...)
2025-12-04T08:55:52.3553875Z         >>>     val_loss = validate(...)
2025-12-04T08:55:52.3554556Z         >>> # Note that step should be called after validate()
2025-12-04T08:55:52.3555243Z         >>>     scheduler.step(val_loss)
2025-12-04T08:55:52.3555648Z 
2025-12-04T08:55:52.3556145Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T08:55:52.3556870Z     
2025-12-04T08:55:52.3557862Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T08:55:52.3558887Z 
2025-12-04T08:55:52.3559086Z     scheduler.step(val_loss)
2025-12-04T08:55:52.3559541Z    ^
2025-12-04T08:55:54.3399813Z running 894 test(s)
2025-12-04T08:55:54.3429889Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file
2025-12-04T08:55:54.3431196Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::typename:0
2025-12-04T08:55:54.3432362Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file
2025-12-04T08:55:54.3433921Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_tensor:0
2025-12-04T08:55:54.3435036Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file
2025-12-04T08:55:54.3442604Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_storage:0
2025-12-04T08:55:54.3443764Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file
2025-12-04T08:55:54.3445575Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_device:0
2025-12-04T08:55:54.3446900Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file
2025-12-04T08:55:54.3448529Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-12-04T08:55:54.3449730Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file
2025-12-04T08:55:54.3451989Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_dtype:0
2025-12-04T08:55:54.3453630Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file
2025-12-04T08:55:54.3455154Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-12-04T08:55:54.3456362Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file
2025-12-04T08:55:54.3457507Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::compile:0
2025-12-04T08:55:54.3459407Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file
2025-12-04T08:55:54.3461596Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-12-04T08:55:54.3463187Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file
2025-12-04T08:55:54.3464535Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::Generator:0
2025-12-04T08:55:54.3465844Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file
2025-12-04T08:55:54.3467240Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::_LinAlgError:0
2025-12-04T08:55:54.3468579Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-12-04T08:55:54.3469718Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::custom_op:0
2025-12-04T08:55:54.3470910Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-12-04T08:55:54.3471989Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl:0
2025-12-04T08:55:54.3473105Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-12-04T08:55:54.3736725Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-12-04T08:55:54.3738215Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-12-04T08:55:54.3739539Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-12-04T08:55:54.3740771Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file
2025-12-04T08:55:54.3749659Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-12-04T08:55:54.3751030Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file
2025-12-04T08:55:54.3771289Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-12-04T08:55:54.3772566Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file
2025-12-04T08:55:54.3879655Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-12-04T08:55:54.3883807Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file
2025-12-04T08:55:54.3889563Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-12-04T08:55:54.3890705Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file
2025-12-04T08:55:54.3898842Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.rename:0
2025-12-04T08:55:54.3900022Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file
2025-12-04T08:55:54.3910428Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-12-04T08:55:54.3912707Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file
2025-12-04T08:55:54.3931780Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.dim_order:0
2025-12-04T08:55:54.3934110Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-12-04T08:55:54.3949706Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-12-04T08:55:54.3952128Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-12-04T08:55:54.3957422Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_tensors:0
2025-12-04T08:55:54.3959723Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-12-04T08:55:54.3962061Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_shapes:0
2025-12-04T08:55:54.3964261Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-12-04T08:55:54.3975342Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::split:0
2025-12-04T08:55:54.3977643Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-12-04T08:55:54.3997173Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::einsum:0
2025-12-04T08:55:54.3999333Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file
2025-12-04T08:55:54.4028869Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::meshgrid:0
2025-12-04T08:55:54.4031130Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file
2025-12-04T08:55:54.4076876Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_impl:0
2025-12-04T08:55:54.4079249Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-12-04T08:55:54.4091284Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-12-04T08:55:54.4093587Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-12-04T08:55:54.4105186Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::tensordot:0
2025-12-04T08:55:54.4107431Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-12-04T08:55:54.4113449Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cartesian_prod:0
2025-12-04T08:55:54.4115707Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-12-04T08:55:54.4124198Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::block_diag:0
2025-12-04T08:55:54.4126357Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-12-04T08:55:54.4140422Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cdist:0
2025-12-04T08:55:54.4142508Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-12-04T08:55:54.4159627Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_1d:0
2025-12-04T08:55:54.4161690Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-12-04T08:55:54.4179372Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_2d:0
2025-12-04T08:55:54.4181585Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-12-04T08:55:54.4203680Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_3d:0
2025-12-04T08:55:54.4205717Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-12-04T08:55:54.4241278Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::norm:0
2025-12-04T08:55:54.4243340Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file
2025-12-04T08:55:54.4270639Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::unravel_index:0
2025-12-04T08:55:54.4272933Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file
2025-12-04T08:55:54.4275057Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::chain_matmul:0
2025-12-04T08:55:54.4277093Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file
2025-12-04T08:55:54.4279137Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_lu_impl:0
2025-12-04T08:55:54.4281177Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::list:0, line 477 <- wrt source file
2025-12-04T08:55:54.4283052Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::list:0
2025-12-04T08:55:54.4284916Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::help:0, line 537 <- wrt source file
2025-12-04T08:55:54.4286759Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::help:0
2025-12-04T08:55:54.4288557Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load:0, line 628 <- wrt source file
2025-12-04T08:55:54.4290398Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load:0
2025-12-04T08:55:54.4292238Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file
2025-12-04T08:55:54.4294175Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::_load_local:0
2025-12-04T08:55:54.4296173Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file
2025-12-04T08:55:54.4298282Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::download_url_to_file:0
2025-12-04T08:55:54.4300373Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file
2025-12-04T08:55:54.4302538Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load_state_dict_from_url:0
2025-12-04T08:55:54.4304651Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file
2025-12-04T08:55:54.4306742Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.define:0
2025-12-04T08:55:54.4308940Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file
2025-12-04T08:55:54.4311424Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-12-04T08:55:54.4313615Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file
2025-12-04T08:55:54.4315758Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.impl:0
2025-12-04T08:55:54.4317699Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::define:0, line 521 <- wrt source file
2025-12-04T08:55:54.4323153Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::define:0
2025-12-04T08:55:54.4325062Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::impl:0, line 627 <- wrt source file
2025-12-04T08:55:54.4341572Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::impl:0
2025-12-04T08:55:54.4343725Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file
2025-12-04T08:55:54.4345850Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_kernel:0
2025-12-04T08:55:54.4347981Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file
2025-12-04T08:55:54.4350197Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autocast:0
2025-12-04T08:55:54.4352333Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file
2025-12-04T08:55:54.4502984Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autograd:0
2025-12-04T08:55:54.4505358Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file
2025-12-04T08:55:54.4576947Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_torch_dispatch:0
2025-12-04T08:55:54.4579270Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file
2025-12-04T08:55:54.4726950Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_vmap:0
2025-12-04T08:55:54.4729116Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file
2025-12-04T08:55:54.4731252Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::opcheck:0
2025-12-04T08:55:54.4733500Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file
2025-12-04T08:55:54.4735964Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_ignored_functions:0
2025-12-04T08:55:54.4738333Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file
2025-12-04T08:55:54.4766791Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_testing_overrides:0
2025-12-04T08:55:54.4769050Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file
2025-12-04T08:55:54.4771313Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::wrap_torch_function:0
2025-12-04T08:55:54.4773538Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file
2025-12-04T08:55:54.4775865Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::handle_torch_function:0
2025-12-04T08:55:54.4778179Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file
2025-12-04T08:55:54.4803169Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-12-04T08:55:54.4805593Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file
2025-12-04T08:55:54.4812067Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_like:0
2025-12-04T08:55:54.4814301Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-12-04T08:55:54.4817346Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/quasirandom.py::SobolEngine:0
2025-12-04T08:55:54.4819671Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file
2025-12-04T08:55:54.4822072Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::add_safe_globals:0
2025-12-04T08:55:54.4824415Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file
2025-12-04T08:55:54.4826753Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::safe_globals:0
2025-12-04T08:55:54.4829003Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file
2025-12-04T08:55:54.4831426Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::skip_data:0
2025-12-04T08:55:54.4833733Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file
2025-12-04T08:55:54.4836149Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::register_package:0
2025-12-04T08:55:54.4838391Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file
2025-12-04T08:55:54.4840571Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::save:0
2025-12-04T08:55:54.4842716Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file
2025-12-04T08:55:54.4844899Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::load:0
2025-12-04T08:55:54.4847108Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-12-04T08:55:54.4849428Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/torch_version.py::TorchVersion:0
2025-12-04T08:55:54.4851743Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file
2025-12-04T08:55:54.4854226Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-12-04T08:55:54.4856609Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file
2025-12-04T08:55:54.4858970Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_options:0
2025-12-04T08:55:54.4861573Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file
2025-12-04T08:55:54.4864448Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-12-04T08:55:54.4867147Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file
2025-12-04T08:55:54.4869771Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-12-04T08:55:54.4872403Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file
2025-12-04T08:55:54.4875053Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::get_device_capability:0
2025-12-04T08:55:54.4877638Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file
2025-12-04T08:55:54.4880116Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::device_index:0
2025-12-04T08:55:54.4882685Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file
2025-12-04T08:55:54.4885106Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-12-04T08:55:54.4887527Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file
2025-12-04T08:55:54.7467300Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-12-04T08:55:54.7468629Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file
2025-12-04T08:55:54.7469864Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-12-04T08:55:54.7471420Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file
2025-12-04T08:55:54.7473103Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-12-04T08:55:54.7474354Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file
2025-12-04T08:55:54.7476310Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-12-04T08:55:54.7477586Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file
2025-12-04T08:55:54.7480048Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-12-04T08:55:54.7482306Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file
2025-12-04T08:55:54.7484233Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-12-04T08:55:54.7486228Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file
2025-12-04T08:55:54.7487872Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-12-04T08:55:54.7489420Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file
2025-12-04T08:55:54.7491289Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-12-04T08:55:54.7492830Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file
2025-12-04T08:55:54.7494336Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::save:0
2025-12-04T08:55:54.7495521Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file
2025-12-04T08:55:54.7496807Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::load:0
2025-12-04T08:55:54.7498244Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file
2025-12-04T08:55:54.7499652Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::register_dataclass:0
2025-12-04T08:55:54.7501011Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file
2025-12-04T08:55:54.7502387Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.then:0
2025-12-04T08:55:54.7503727Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file
2025-12-04T08:55:54.7505222Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-12-04T08:55:54.7506756Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file
2025-12-04T08:55:54.7508238Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_result:0
2025-12-04T08:55:54.7509512Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file
2025-12-04T08:55:54.7510891Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-12-04T08:55:54.7512125Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file
2025-12-04T08:55:54.7513596Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::collect_all:0
2025-12-04T08:55:54.7515818Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-12-04T08:55:54.7518003Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/__init__.py::annotate:0
2025-12-04T08:55:54.7520396Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-12-04T08:55:54.7523028Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-12-04T08:55:54.7525418Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file
2025-12-04T08:55:54.7527711Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/mps/__init__.py::compile_shader:0
2025-12-04T08:55:54.7529998Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file
2025-12-04T08:55:54.7532380Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-12-04T08:55:54.7534750Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-12-04T08:55:54.7537109Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-12-04T08:55:54.7539331Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-12-04T08:55:54.7612529Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::narrow:0
2025-12-04T08:55:54.7615051Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file
2025-12-04T08:55:54.7621391Z W1204 08:55:54.761000 964 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.
2025-12-04T08:55:54.7639133Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-12-04T08:55:54.7641572Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-12-04T08:55:54.7658104Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::masked_select:0
2025-12-04T08:55:54.7660484Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file
2025-12-04T08:55:54.7682063Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::sum:0
2025-12-04T08:55:54.7684489Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file
2025-12-04T08:55:54.7714981Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-12-04T08:55:54.7717514Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file
2025-12-04T08:55:54.7769979Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-12-04T08:55:54.7772481Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file
2025-12-04T08:55:54.7775061Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-12-04T08:55:54.7777740Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file
2025-12-04T08:55:54.7780726Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-12-04T08:55:54.7783858Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file
2025-12-04T08:55:54.7787238Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0
2025-12-04T08:55:54.7790345Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file
2025-12-04T08:55:54.7793235Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-12-04T08:55:54.7796173Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file
2025-12-04T08:55:54.7799276Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-12-04T08:55:54.7802085Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file
2025-12-04T08:55:54.7804851Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0
2025-12-04T08:55:54.7807385Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file
2025-12-04T08:55:54.8083944Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-12-04T08:55:54.8086787Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file
2025-12-04T08:55:54.8089613Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-12-04T08:55:54.8092182Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file
2025-12-04T08:55:54.8134783Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-12-04T08:55:54.8137220Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file
2025-12-04T08:55:54.8203306Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-12-04T08:55:54.8205746Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file
2025-12-04T08:55:54.8881153Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-12-04T08:55:54.8883614Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file
2025-12-04T08:55:54.8948962Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-12-04T08:55:54.8951501Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file
2025-12-04T08:55:54.8969195Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-12-04T08:55:54.8971753Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file
2025-12-04T08:55:54.8974441Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-12-04T08:55:54.8976980Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file
2025-12-04T08:55:54.9153320Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-12-04T08:55:54.9156132Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file
2025-12-04T08:55:54.9159024Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-12-04T08:55:54.9161534Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-12-04T08:55:54.9163940Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-12-04T08:55:54.9166806Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file
2025-12-04T08:55:54.9169863Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-12-04T08:55:54.9172852Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file
2025-12-04T08:55:54.9175892Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-12-04T08:55:54.9178744Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file
2025-12-04T08:55:54.9181723Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-12-04T08:55:54.9184668Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file
2025-12-04T08:55:54.9187635Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-12-04T08:55:54.9190263Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file
2025-12-04T08:55:54.9192555Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-12-04T08:55:54.9195014Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file
2025-12-04T08:55:54.9197711Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-12-04T08:55:54.9200136Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file
2025-12-04T08:55:54.9202381Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/map.py::map:0
2025-12-04T08:55:54.9205121Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file
2025-12-04T08:55:54.9208282Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0
2025-12-04T08:55:54.9210922Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file
2025-12-04T08:55:54.9213241Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-12-04T08:55:54.9215625Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file
2025-12-04T08:55:54.9218245Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-12-04T08:55:54.9220935Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file
2025-12-04T08:55:54.9223851Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0
2025-12-04T08:55:54.9226632Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file
2025-12-04T08:55:54.9229474Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-12-04T08:55:54.9232242Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file
2025-12-04T08:55:54.9234960Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0
2025-12-04T08:55:54.9237580Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file
2025-12-04T08:55:54.9240216Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0
2025-12-04T08:55:54.9242981Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file
2025-12-04T08:55:54.9245886Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0
2025-12-04T08:55:54.9248766Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file
2025-12-04T08:55:54.9251711Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0
2025-12-04T08:55:54.9254689Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file
2025-12-04T08:55:54.9257774Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0
2025-12-04T08:55:54.9260763Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file
2025-12-04T08:55:54.9263720Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0
2025-12-04T08:55:54.9266705Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file
2025-12-04T08:55:54.9269812Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0
2025-12-04T08:55:54.9272954Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file
2025-12-04T08:55:54.9276108Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0
2025-12-04T08:55:54.9278823Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file
2025-12-04T08:55:54.9507644Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-12-04T08:55:54.9510366Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file
2025-12-04T08:55:54.9591571Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-12-04T08:55:54.9594389Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file
2025-12-04T08:55:54.9596993Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-12-04T08:55:54.9599553Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file
2025-12-04T08:55:54.9752213Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-12-04T08:55:54.9753611Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file
2025-12-04T08:55:54.9912201Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-12-04T08:55:54.9914294Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file
2025-12-04T08:55:54.9915914Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-12-04T08:55:54.9917420Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file
2025-12-04T08:55:54.9918947Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-12-04T08:55:54.9920461Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file
2025-12-04T08:55:54.9984596Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-12-04T08:55:54.9985930Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file
2025-12-04T08:55:54.9991819Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-12-04T08:55:54.9993210Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file
2025-12-04T08:55:54.9994807Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/triton.py::triton_op:0
2025-12-04T08:55:54.9996274Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file
2025-12-04T08:55:54.9997497Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/triton.py::wrap_triton:0
2025-12-04T08:55:54.9998658Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file
2025-12-04T08:55:54.9999965Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_logging/_internal.py::set_logs:0
2025-12-04T08:55:55.0001182Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file
2025-12-04T08:55:55.0046238Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-12-04T08:55:55.0047586Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file
2025-12-04T08:55:55.0048933Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-12-04T08:55:55.0050374Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file
2025-12-04T08:55:55.0089256Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0
2025-12-04T08:55:55.0090571Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file
2025-12-04T08:55:55.0092923Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0
2025-12-04T08:55:55.0094222Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file
2025-12-04T08:55:55.0149269Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0
2025-12-04T08:55:55.0150680Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file
2025-12-04T08:55:55.0203613Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0
2025-12-04T08:55:55.0204941Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file
2025-12-04T08:55:55.0252258Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-12-04T08:55:55.0253711Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file
2025-12-04T08:55:55.0255071Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-12-04T08:55:55.0256366Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file
2025-12-04T08:55:55.0290457Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-12-04T08:55:55.0291832Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file
2025-12-04T08:55:55.0294788Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-12-04T08:55:55.0296167Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file
2025-12-04T08:55:55.0299391Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-12-04T08:55:55.0301203Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file
2025-12-04T08:55:55.0302459Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-12-04T08:55:55.0303696Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file
2025-12-04T08:55:55.0306415Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-12-04T08:55:55.0307762Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file
2025-12-04T08:55:55.0310385Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0
2025-12-04T08:55:55.0312627Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-12-04T08:55:55.0314034Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-12-04T08:55:55.0315757Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file
2025-12-04T08:55:55.0317504Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0
2025-12-04T08:55:55.0318919Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-12-04T08:55:55.0320132Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-12-04T08:55:55.0321488Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file
2025-12-04T08:55:55.0322973Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-12-04T08:55:55.0324532Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file
2025-12-04T08:55:55.0326268Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-12-04T08:55:55.0327856Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file
2025-12-04T08:55:55.0329429Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-12-04T08:55:55.0331084Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file
2025-12-04T08:55:55.0332722Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-12-04T08:55:55.0334291Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file
2025-12-04T08:55:55.0335872Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-12-04T08:55:55.0337298Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file
2025-12-04T08:55:55.0340689Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-12-04T08:55:55.0342141Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file
2025-12-04T08:55:55.0374699Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-12-04T08:55:55.0377594Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file
2025-12-04T08:55:55.0379611Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-12-04T08:55:55.0381055Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file
2025-12-04T08:55:55.0382358Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-12-04T08:55:55.0383626Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file
2025-12-04T08:55:55.0385000Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-12-04T08:55:55.0386710Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file
2025-12-04T08:55:55.0388194Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-12-04T08:55:55.0389556Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file
2025-12-04T08:55:55.0392807Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-12-04T08:55:55.0394947Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file
2025-12-04T08:55:55.0397048Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-12-04T08:55:55.0399174Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file
2025-12-04T08:55:55.0401911Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-12-04T08:55:55.0403808Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file
2025-12-04T08:55:55.0405225Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-12-04T08:55:55.0407080Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file
2025-12-04T08:55:55.0409704Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-12-04T08:55:55.0412034Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file
2025-12-04T08:55:55.0414111Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-12-04T08:55:55.0415690Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file
2025-12-04T08:55:55.0417215Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-12-04T08:55:55.0418682Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file
2025-12-04T08:55:55.0420128Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-12-04T08:55:55.0421597Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file
2025-12-04T08:55:55.0423054Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-12-04T08:55:55.0424420Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file
2025-12-04T08:55:55.0425805Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-12-04T08:55:55.0427189Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file
2025-12-04T08:55:55.0428646Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-12-04T08:55:55.0430145Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file
2025-12-04T08:55:55.0431595Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-12-04T08:55:55.0433002Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file
2025-12-04T08:55:55.0434433Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-12-04T08:55:55.0435802Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file
2025-12-04T08:55:55.0437194Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-12-04T08:55:55.0438510Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file
2025-12-04T08:55:55.0439833Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2025-12-04T08:55:55.0441108Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file
2025-12-04T08:55:55.0442416Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-12-04T08:55:55.0443698Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file
2025-12-04T08:55:55.0445014Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-12-04T08:55:55.0446356Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file
2025-12-04T08:55:55.0447820Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-12-04T08:55:55.0449229Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file
2025-12-04T08:55:55.0450666Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-12-04T08:55:55.0452079Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file
2025-12-04T08:55:55.0453554Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-12-04T08:55:55.0454980Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file
2025-12-04T08:55:55.0459467Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-12-04T08:55:55.0460941Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file
2025-12-04T08:55:55.0472328Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-12-04T08:55:55.0473956Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file
2025-12-04T08:55:55.0478128Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-12-04T08:55:55.0479696Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file
2025-12-04T08:55:55.0482464Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-12-04T08:55:55.0484137Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file
2025-12-04T08:55:55.0485779Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-12-04T08:55:55.0487083Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file
2025-12-04T08:55:55.0488376Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2025-12-04T08:55:55.0489964Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file
2025-12-04T08:55:55.0621794Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0
2025-12-04T08:55:55.0623949Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file
2025-12-04T08:55:55.0627104Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-12-04T08:55:55.0628889Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file
2025-12-04T08:55:55.0630899Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-12-04T08:55:55.0632807Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file
2025-12-04T08:55:55.0634716Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-12-04T08:55:55.0636583Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file
2025-12-04T08:55:55.0638404Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2025-12-04T08:55:55.0640049Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file
2025-12-04T08:55:55.0641517Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-12-04T08:55:55.0643471Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file
2025-12-04T08:55:55.0645152Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-12-04T08:55:55.0646836Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file
2025-12-04T08:55:55.0651772Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-12-04T08:55:55.0654692Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file
2025-12-04T08:55:55.0657641Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-12-04T08:55:55.0660562Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file
2025-12-04T08:55:55.0664144Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-12-04T08:55:55.0666880Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file
2025-12-04T08:55:55.0669414Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-12-04T08:55:55.0672095Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file
2025-12-04T08:55:55.0674818Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-12-04T08:55:55.0677415Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file
2025-12-04T08:55:55.0679959Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-12-04T08:55:55.0682842Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file
2025-12-04T08:55:55.0685461Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-12-04T08:55:55.0688082Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file
2025-12-04T08:55:55.0690781Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-12-04T08:55:55.0693380Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file
2025-12-04T08:55:55.0696129Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-12-04T08:55:55.0698819Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file
2025-12-04T08:55:55.0701693Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-12-04T08:55:55.0704645Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file
2025-12-04T08:55:55.0707752Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-12-04T08:55:55.0710725Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file
2025-12-04T08:55:55.0713434Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-12-04T08:55:55.0716118Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file
2025-12-04T08:55:55.0718893Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-12-04T08:55:55.0721587Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file
2025-12-04T08:55:55.0724285Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-12-04T08:55:55.0726895Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file
2025-12-04T08:55:55.0729499Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-12-04T08:55:55.0732063Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file
2025-12-04T08:55:55.0734684Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-12-04T08:55:55.0737310Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file
2025-12-04T08:55:55.0739997Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-12-04T08:55:55.0742613Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file
2025-12-04T08:55:55.0745307Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-12-04T08:55:55.0747894Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file
2025-12-04T08:55:55.0750552Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-12-04T08:55:55.0753092Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file
2025-12-04T08:55:55.0755779Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-12-04T08:55:55.0758565Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file
2025-12-04T08:55:55.0761603Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0
2025-12-04T08:55:55.0764593Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file
2025-12-04T08:55:55.0767689Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0
2025-12-04T08:55:55.0770676Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file
2025-12-04T08:55:55.0773706Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-12-04T08:55:55.0777161Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file
2025-12-04T08:55:55.0781278Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0
2025-12-04T08:55:55.0785243Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file
2025-12-04T08:55:55.0789317Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0
2025-12-04T08:55:55.0793325Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file
2025-12-04T08:55:55.0797337Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0
2025-12-04T08:55:55.0801319Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file
2025-12-04T08:55:55.0805459Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0
2025-12-04T08:55:55.0809053Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file
2025-12-04T08:55:55.0812149Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-12-04T08:55:55.0815182Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file
2025-12-04T08:55:55.0818251Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-12-04T08:55:55.0821323Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file
2025-12-04T08:55:55.0824326Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0
2025-12-04T08:55:55.0827365Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file
2025-12-04T08:55:55.0830622Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-12-04T08:55:55.0833407Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file
2025-12-04T08:55:55.0836014Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-12-04T08:55:55.0838414Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file
2025-12-04T08:55:55.0840754Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-12-04T08:55:55.0843099Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file
2025-12-04T08:55:55.0845517Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-12-04T08:55:55.0847864Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file
2025-12-04T08:55:55.0850221Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-12-04T08:55:55.0852771Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 72 <- wrt source file
2025-12-04T08:55:55.0855556Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-12-04T08:55:55.0858277Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 116 <- wrt source file
2025-12-04T08:55:55.0861027Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-12-04T08:55:55.0863679Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 169 <- wrt source file
2025-12-04T08:55:55.0866314Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-12-04T08:55:55.0869057Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file
2025-12-04T08:55:55.0872104Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-12-04T08:55:55.0874942Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file
2025-12-04T08:55:55.0877813Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-12-04T08:55:55.0880495Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file
2025-12-04T08:55:55.0882989Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::Function:0
2025-12-04T08:55:55.0885259Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file
2025-12-04T08:55:55.0887552Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vjp:0
2025-12-04T08:55:55.0889799Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file
2025-12-04T08:55:55.0892096Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jvp:0
2025-12-04T08:55:55.0894404Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file
2025-12-04T08:55:55.0896852Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jacobian:0
2025-12-04T08:55:55.0899178Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file
2025-12-04T08:55:55.0901567Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hessian:0
2025-12-04T08:55:55.0903876Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file
2025-12-04T08:55:55.0906182Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vhp:0
2025-12-04T08:55:55.0908417Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file
2025-12-04T08:55:55.0910763Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hvp:0
2025-12-04T08:55:55.0912983Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file
2025-12-04T08:55:55.0915275Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-12-04T08:55:55.0917568Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file
2025-12-04T08:55:55.0919950Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-12-04T08:55:55.0922337Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file
2025-12-04T08:55:55.0924818Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-12-04T08:55:55.0927259Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file
2025-12-04T08:55:55.0929761Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-12-04T08:55:55.0932074Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file
2025-12-04T08:55:55.0934347Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.name:0
2025-12-04T08:55:55.0936668Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file
2025-12-04T08:55:55.0939139Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-12-04T08:55:55.0941678Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file
2025-12-04T08:55:55.0944218Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-12-04T08:55:55.0946659Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file
2025-12-04T08:55:55.0949134Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-12-04T08:55:55.0951584Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file
2025-12-04T08:55:55.0953889Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-12-04T08:55:55.0956378Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file
2025-12-04T08:55:55.0959016Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-12-04T08:55:55.0961577Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file
2025-12-04T08:55:55.0964165Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-12-04T08:55:55.0966783Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file
2025-12-04T08:55:55.0969499Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-12-04T08:55:55.0971990Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-12-04T08:55:55.0974311Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::profile:0
2025-12-04T08:55:55.0976659Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file
2025-12-04T08:55:55.0979130Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::record_function:0
2025-12-04T08:55:55.0981609Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file
2025-12-04T08:55:55.0983923Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-12-04T08:55:55.0986232Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file
2025-12-04T08:55:55.0988673Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-12-04T08:55:55.0991052Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file
2025-12-04T08:55:55.0993511Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler_util.py::EventList:0
2025-12-04T08:55:55.0995828Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file
2025-12-04T08:55:55.0998137Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-12-04T08:55:55.1000531Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file
2025-12-04T08:55:55.1002899Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-12-04T08:55:55.1005076Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file
2025-12-04T08:55:55.1007169Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::GdsFile:0
2025-12-04T08:55:55.1009352Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file
2025-12-04T08:55:55.1011713Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-12-04T08:55:55.1014082Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file
2025-12-04T08:55:55.1016443Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-12-04T08:55:55.1018740Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file
2025-12-04T08:55:55.1021085Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-12-04T08:55:55.1023546Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file
2025-12-04T08:55:55.1026175Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-12-04T08:55:55.1028540Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-12-04T08:55:55.1030832Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/profiler.py::profile:0
2025-12-04T08:55:55.1033330Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file
2025-12-04T08:55:55.1036125Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0
2025-12-04T08:55:55.1038869Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file
2025-12-04T08:55:55.1041634Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0
2025-12-04T08:55:55.1044399Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file
2025-12-04T08:55:55.1047278Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0
2025-12-04T08:55:55.1049921Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file
2025-12-04T08:55:55.1052417Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0
2025-12-04T08:55:55.1055053Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file
2025-12-04T08:55:55.1057885Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0
2025-12-04T08:55:55.1060638Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file
2025-12-04T08:55:55.1063265Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0
2025-12-04T08:55:55.1065961Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file
2025-12-04T08:55:55.1068792Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0
2025-12-04T08:55:55.1071558Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2754 <- wrt source file
2025-12-04T08:55:55.1074346Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0
2025-12-04T08:55:55.1077028Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0, line 2801 <- wrt source file
2025-12-04T08:55:55.1079801Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0
2025-12-04T08:55:55.1082592Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0, line 2938 <- wrt source file
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2025-12-04T08:55:55.1190907Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/autograd/__init__.py::context:0, line 47 <- wrt source file
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2025-12-04T08:55:55.1196221Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 53 <- wrt source file
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2025-12-04T08:55:55.1202065Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_composable/contract.py::contract:0, line 67 <- wrt source file
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2025-12-04T08:55:55.1207417Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file
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2025-12-04T08:55:55.1212885Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0, line 265 <- wrt source file
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2025-12-04T08:55:55.1218848Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file
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2025-12-04T08:55:55.1261729Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::put:0, line 275 <- wrt source file
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2025-12-04T08:55:55.1267288Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::get:0, line 328 <- wrt source file
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2025-12-04T08:55:55.1272911Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::get_nbi:0, line 378 <- wrt source file
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2025-12-04T08:55:55.1278751Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::putmem_signal_block:0, line 453 <- wrt source file
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2025-12-04T08:55:55.1284996Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::wait_until:0, line 531 <- wrt source file
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2025-12-04T08:55:55.1302802Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::fence:0, line 704 <- wrt source file
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2025-12-04T08:55:55.1314239Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::my_pe:0, line 794 <- wrt source file
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2025-12-04T08:55:55.1325565Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::barrier_all:0, line 888 <- wrt source file
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2025-12-04T08:55:55.1337138Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::alltoall:0, line 973 <- wrt source file
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2025-12-04T08:55:55.1360724Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 55 <- wrt source file
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2025-12-04T08:55:55.1366089Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-12-04T08:55:55.1368583Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-12-04T08:55:55.1371432Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 137 <- wrt source file
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2025-12-04T08:55:55.1384186Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 51 <- wrt source file
2025-12-04T08:55:55.1387457Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0
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2025-12-04T08:55:55.1397190Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 131 <- wrt source file
2025-12-04T08:55:55.1400458Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0
2025-12-04T08:55:55.1403700Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 149 <- wrt source file
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2025-12-04T08:55:55.1410291Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 188 <- wrt source file
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2025-12-04T08:55:55.1416917Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py::post_localSGD_hook:0, line 91 <- wrt source file
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2025-12-04T08:55:55.1452364Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file
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2025-12-04T08:55:55.1459847Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 146 <- wrt source file
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2025-12-04T08:55:55.1467048Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0, line 56 <- wrt source file
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2025-12-04T08:55:55.1474048Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0, line 53 <- wrt source file
2025-12-04T08:55:55.1477919Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0
2025-12-04T08:55:55.1481498Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0, line 49 <- wrt source file
2025-12-04T08:55:55.1484761Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0
2025-12-04T08:55:55.1487878Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file
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2025-12-04T08:55:55.1494092Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file
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2025-12-04T08:55:55.1500336Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file
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2025-12-04T08:55:55.1506134Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1531 <- wrt source file
2025-12-04T08:55:55.1509154Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0
2025-12-04T08:55:55.1512247Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1590 <- wrt source file
2025-12-04T08:55:55.1515492Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0
2025-12-04T08:55:55.1518373Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0, line 131 <- wrt source file
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2025-12-04T08:55:55.1523863Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0, line 160 <- wrt source file
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2025-12-04T08:55:55.1529350Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0, line 275 <- wrt source file
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2025-12-04T08:55:55.1535208Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0, line 50 <- wrt source file
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2025-12-04T08:55:55.1541404Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0, line 78 <- wrt source file
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2025-12-04T08:55:55.1547821Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0, line 139 <- wrt source file
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2025-12-04T08:55:55.1554369Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0, line 104 <- wrt source file
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2025-12-04T08:55:55.1560882Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0, line 142 <- wrt source file
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2025-12-04T08:55:55.1567579Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0, line 213 <- wrt source file
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2025-12-04T08:55:55.1574144Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0, line 260 <- wrt source file
2025-12-04T08:55:55.1577531Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0
2025-12-04T08:55:55.1580997Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0, line 211 <- wrt source file
2025-12-04T08:55:55.1584239Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0
2025-12-04T08:55:55.1587362Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0, line 110 <- wrt source file
2025-12-04T08:55:55.1590584Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0
2025-12-04T08:55:55.1593725Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0, line 232 <- wrt source file
2025-12-04T08:55:55.1596977Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0
2025-12-04T08:55:55.1599977Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 140 <- wrt source file
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2025-12-04T08:55:55.1605574Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0, line 202 <- wrt source file
2025-12-04T08:55:55.1608131Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0
2025-12-04T08:55:55.1610634Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file
2025-12-04T08:55:55.1613160Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py::StateDictType:0
2025-12-04T08:55:55.1616054Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 125 <- wrt source file
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2025-12-04T08:55:55.1622770Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0, line 651 <- wrt source file
2025-12-04T08:55:55.1626439Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0
2025-12-04T08:55:55.1630079Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.state_dict_type:0, line 805 <- wrt source file
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2025-12-04T08:55:55.1637406Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1513 <- wrt source file
2025-12-04T08:55:55.1641248Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0
2025-12-04T08:55:55.1645120Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1633 <- wrt source file
2025-12-04T08:55:55.1648996Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0
2025-12-04T08:55:55.1652752Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/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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2025-12-04T08:55:55.1660114Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict:0, line 1850 <- wrt source file
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2025-12-04T08:55:55.1667408Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict_to_load:0, line 1937 <- wrt source file
2025-12-04T08:55:55.1671229Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict_to_load:0
2025-12-04T08:55:55.1674504Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 57 <- wrt source file
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2025-12-04T08:55:55.1680317Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 227 <- wrt source file
2025-12-04T08:55:55.1682869Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0
2025-12-04T08:55:55.1685428Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file
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2025-12-04T08:55:55.1690879Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0, line 196 <- wrt source file
2025-12-04T08:55:55.1693869Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0
2025-12-04T08:55:55.1696974Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.init_from_module_rref:0, line 527 <- wrt source file
2025-12-04T08:55:55.1700203Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.init_from_module_rref:0
2025-12-04T08:55:55.1703155Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0, line 658 <- wrt source file
2025-12-04T08:55:55.1705907Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0
2025-12-04T08:55:55.1708994Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 43 <- wrt source file
2025-12-04T08:55:55.1712348Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0
2025-12-04T08:55:55.1715609Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 114 <- wrt source file
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2025-12-04T08:55:55.1721941Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file
2025-12-04T08:55:55.1724863Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0
2025-12-04T08:55:55.1727612Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0, line 161 <- wrt source file
2025-12-04T08:55:55.1730486Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0
2025-12-04T08:55:55.1733400Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0, line 19 <- wrt source file
2025-12-04T08:55:55.1736556Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0
2025-12-04T08:55:55.1739473Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file
2025-12-04T08:55:55.1742312Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0
2025-12-04T08:55:55.1745322Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0, line 341 <- wrt source file
2025-12-04T08:55:55.1748545Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0
2025-12-04T08:55:55.1751449Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 345 <- wrt source file
2025-12-04T08:55:55.1754007Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0
2025-12-04T08:55:55.1756680Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 36 <- wrt source file
2025-12-04T08:55:55.1759629Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0
2025-12-04T08:55:55.1762566Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 85 <- wrt source file
2025-12-04T08:55:55.1765718Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-12-04T08:55:55.1768793Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 104 <- wrt source file
2025-12-04T08:55:55.1772004Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-12-04T08:55:55.1774669Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file
2025-12-04T08:55:55.1777040Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/api.py::_wait_all:0
2025-12-04T08:55:55.1779374Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 343 <- wrt source file
2025-12-04T08:55:55.1781951Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/api.py::shutdown:0
2025-12-04T08:55:55.1784257Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/api.py::remote:0, line 605 <- wrt source file
2025-12-04T08:55:55.1786668Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/api.py::remote:0
2025-12-04T08:55:55.1788965Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 786 <- wrt source file
2025-12-04T08:55:55.1791416Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2025-12-04T08:55:55.1793752Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 878 <- wrt source file
2025-12-04T08:55:55.1796140Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-12-04T08:55:55.1798640Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/functions.py::async_execution:0, line 34 <- wrt source file
2025-12-04T08:55:55.1801321Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2025-12-04T08:55:55.1804259Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0, line 126 <- wrt source file
2025-12-04T08:55:55.1807511Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0
2025-12-04T08:55:55.1810777Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0, line 62 <- wrt source file
2025-12-04T08:55:55.1814195Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0
2025-12-04T08:55:55.1817108Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 887 <- wrt source file
2025-12-04T08:55:55.1819669Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0
2025-12-04T08:55:55.1822424Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0, line 32 <- wrt source file
2025-12-04T08:55:55.1825248Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0
2025-12-04T08:55:55.1828345Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._convert_shard_order_to_StridedShard:0, line 165 <- wrt source file
2025-12-04T08:55:55.1831848Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._convert_shard_order_to_StridedShard:0
2025-12-04T08:55:55.1835367Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._maybe_convert_StridedShard_to_shard_order:0, line 241 <- wrt source file
2025-12-04T08:55:55.1838906Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._maybe_convert_StridedShard_to_shard_order:0
2025-12-04T08:55:55.1842196Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec.format_shard_order_str:0, line 461 <- wrt source file
2025-12-04T08:55:55.1845365Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec.format_shard_order_str:0
2025-12-04T08:55:55.1848504Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 310 <- wrt source file
2025-12-04T08:55:55.1851716Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0
2025-12-04T08:55:55.1854671Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 234 <- wrt source file
2025-12-04T08:55:55.1857561Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0
2025-12-04T08:55:55.1860412Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0, line 103 <- wrt source file
2025-12-04T08:55:55.1863307Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0
2025-12-04T08:55:55.1866376Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0, line 46 <- wrt source file
2025-12-04T08:55:55.1869658Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0
2025-12-04T08:55:55.1873206Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_LoadBalancer._generate_indices:0, line 30 <- wrt source file
2025-12-04T08:55:55.1877015Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_LoadBalancer._generate_indices:0
2025-12-04T08:55:55.1881001Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_HeadTailLoadBalancer._generate_indices:0, line 102 <- wrt source file
2025-12-04T08:55:55.1885068Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_HeadTailLoadBalancer._generate_indices:0
2025-12-04T08:55:55.1889218Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PerDocumentHeadTailLoadBalancer._generate_indices:0, line 213 <- wrt source file
2025-12-04T08:55:55.1893487Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PerDocumentHeadTailLoadBalancer._generate_indices:0
2025-12-04T08:55:55.1897490Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer.ptrr_scheduling:0, line 339 <- wrt source file
2025-12-04T08:55:55.1901507Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer.ptrr_scheduling:0
2025-12-04T08:55:55.1905388Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer._generate_indices:0, line 397 <- wrt source file
2025-12-04T08:55:55.1909366Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer._generate_indices:0
2025-12-04T08:55:55.1912770Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 55 <- wrt source file
2025-12-04T08:55:55.1915700Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2025-12-04T08:55:55.1918653Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file
2025-12-04T08:55:55.1921637Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0
2025-12-04T08:55:55.1924494Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 56 <- wrt source file
2025-12-04T08:55:55.1927313Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-12-04T08:55:55.1930239Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 64 <- wrt source file
2025-12-04T08:55:55.1933155Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-12-04T08:55:55.1936023Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file
2025-12-04T08:55:55.1938952Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-12-04T08:55:55.1941817Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file
2025-12-04T08:55:55.1944763Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-12-04T08:55:55.1947671Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file
2025-12-04T08:55:55.1950728Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0
2025-12-04T08:55:55.1953714Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 614 <- wrt source file
2025-12-04T08:55:55.1956739Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0
2025-12-04T08:55:55.1959772Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file
2025-12-04T08:55:55.1962901Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0
2025-12-04T08:55:55.1965721Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-12-04T08:55:55.1968217Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-12-04T08:55:55.1970549Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-12-04T08:55:55.1972817Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/beta.py::Beta:0
2025-12-04T08:55:55.1975152Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-12-04T08:55:55.1977589Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/binomial.py::Binomial:0
2025-12-04T08:55:55.1980129Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-12-04T08:55:55.1982899Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/categorical.py::Categorical:0
2025-12-04T08:55:55.1985341Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-12-04T08:55:55.1987695Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-12-04T08:55:55.1989972Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-12-04T08:55:55.1992256Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/chi2.py::Chi2:0
2025-12-04T08:55:55.1994691Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file
2025-12-04T08:55:55.1997308Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-12-04T08:55:55.1999979Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file
2025-12-04T08:55:55.2002756Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-12-04T08:55:55.2005596Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-12-04T08:55:55.2008607Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-12-04T08:55:55.2011292Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file
2025-12-04T08:55:55.2013868Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-12-04T08:55:55.2016376Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-12-04T08:55:55.2018983Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/exponential.py::Exponential:0
2025-12-04T08:55:55.2021614Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-12-04T08:55:55.2024375Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-12-04T08:55:55.2026955Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-12-04T08:55:55.2029279Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gamma.py::Gamma:0
2025-12-04T08:55:55.2031911Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-12-04T08:55:55.2034809Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-12-04T08:55:55.2037443Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-12-04T08:55:55.2039937Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/geometric.py::Geometric:0
2025-12-04T08:55:55.2042392Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-12-04T08:55:55.2044744Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-12-04T08:55:55.2047142Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-12-04T08:55:55.2049693Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-12-04T08:55:55.2052188Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-12-04T08:55:55.2054721Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-12-04T08:55:55.2057274Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-12-04T08:55:55.2059868Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/independent.py::Independent:0
2025-12-04T08:55:55.2062435Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-12-04T08:55:55.2065072Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-12-04T08:55:55.2067673Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-12-04T08:55:55.2070341Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-12-04T08:55:55.2072805Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-12-04T08:55:55.2075268Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/laplace.py::Laplace:0
2025-12-04T08:55:55.2077721Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-12-04T08:55:55.2080423Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-12-04T08:55:55.2081779Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-12-04T08:55:55.2083087Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-12-04T08:55:55.2084508Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-12-04T08:55:55.2085945Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-12-04T08:55:55.2087481Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file
2025-12-04T08:55:55.2089168Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2025-12-04T08:55:55.2090717Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file
2025-12-04T08:55:55.2092267Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2025-12-04T08:55:55.2093673Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-12-04T08:55:55.2095004Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-12-04T08:55:55.2096419Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-12-04T08:55:55.2097936Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-12-04T08:55:55.2099275Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-12-04T08:55:55.2100498Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/normal.py::Normal:0
2025-12-04T08:55:55.2101837Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file
2025-12-04T08:55:55.2103330Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-12-04T08:55:55.2104667Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-12-04T08:55:55.2105884Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/pareto.py::Pareto:0
2025-12-04T08:55:55.2107099Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-12-04T08:55:55.2108352Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/poisson.py::Poisson:0
2025-12-04T08:55:55.2109775Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file
2025-12-04T08:55:55.2111328Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2025-12-04T08:55:55.2112829Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file
2025-12-04T08:55:55.2114424Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2025-12-04T08:55:55.2115888Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-12-04T08:55:55.2117168Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/studentT.py::StudentT:0
2025-12-04T08:55:55.2118458Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file
2025-12-04T08:55:55.2119807Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-12-04T08:55:55.2121151Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file
2025-12-04T08:55:55.2122535Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-12-04T08:55:55.2124045Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file
2025-12-04T08:55:55.2125623Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-12-04T08:55:55.2127007Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-12-04T08:55:55.2128258Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/uniform.py::Uniform:0
2025-12-04T08:55:55.2129492Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-12-04T08:55:55.2130745Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-12-04T08:55:55.2131995Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file
2025-12-04T08:55:55.2133274Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-12-04T08:55:55.2134508Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-12-04T08:55:55.2135745Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/weibull.py::Weibull:0
2025-12-04T08:55:55.2136958Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-12-04T08:55:55.2138205Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/wishart.py::Wishart:0
2025-12-04T08:55:55.2139469Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0, line 158 <- wrt source file
2025-12-04T08:55:55.2140824Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0
2025-12-04T08:55:55.2142069Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file
2025-12-04T08:55:55.2143267Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-12-04T08:55:55.2144516Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 737 <- wrt source file
2025-12-04T08:55:55.2145864Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-12-04T08:55:55.2147246Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 753 <- wrt source file
2025-12-04T08:55:55.2148607Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-12-04T08:55:55.2149933Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 837 <- wrt source file
2025-12-04T08:55:55.2151357Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-12-04T08:55:55.2152557Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/graph.py::_snake_case:0, line 104 <- wrt source file
2025-12-04T08:55:55.2153695Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/graph.py::_snake_case:0
2025-12-04T08:55:55.2154940Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 2043 <- wrt source file
2025-12-04T08:55:55.2156227Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-12-04T08:55:55.2157469Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 2137 <- wrt source file
2025-12-04T08:55:55.2158711Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-12-04T08:55:55.2159922Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/interpreter.py::Interpreter:0, line 75 <- wrt source file
2025-12-04T08:55:55.2161132Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-12-04T08:55:55.2162321Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/interpreter.py::Transformer:0, line 519 <- wrt source file
2025-12-04T08:55:55.2163537Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/interpreter.py::Transformer:0
2025-12-04T08:55:55.2164776Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0, line 126 <- wrt source file
2025-12-04T08:55:55.2166093Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-12-04T08:55:55.2167314Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
2025-12-04T08:55:55.2168486Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/tensor_type.py::TensorType:0
2025-12-04T08:55:55.2169667Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/tensor_type.py::is_consistent:0, line 65 <- wrt source file
2025-12-04T08:55:55.2170875Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-12-04T08:55:55.2172106Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 93 <- wrt source file
2025-12-04T08:55:55.2173316Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-12-04T08:55:55.2174487Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/traceback.py::annotate:0, line 300 <- wrt source file
2025-12-04T08:55:55.2175634Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/traceback.py::annotate:0
2025-12-04T08:55:55.2176778Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/traceback.py::annotate_fn:0, line 344 <- wrt source file
2025-12-04T08:55:55.2178001Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/traceback.py::annotate_fn:0
2025-12-04T08:55:55.2179338Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 97 <- wrt source file
2025-12-04T08:55:55.2181038Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-12-04T08:55:55.2182446Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file
2025-12-04T08:55:55.2183803Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-12-04T08:55:55.2185273Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file
2025-12-04T08:55:55.2186749Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-12-04T08:55:55.2188160Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 19 <- wrt source file
2025-12-04T08:55:55.2189577Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-12-04T08:55:55.2191026Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 45 <- wrt source file
2025-12-04T08:55:55.2192459Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-12-04T08:55:55.2193877Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/more.py::unify_object:0, line 102 <- wrt source file
2025-12-04T08:55:55.2195313Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-12-04T08:55:55.2196753Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0, line 37 <- wrt source file
2025-12-04T08:55:55.2198262Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-12-04T08:55:55.2199766Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0, line 64 <- wrt source file
2025-12-04T08:55:55.2201333Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-12-04T08:55:55.2202849Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 90 <- wrt source file
2025-12-04T08:55:55.2204422Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-12-04T08:55:55.2205917Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 106 <- wrt source file
2025-12-04T08:55:55.2207449Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-12-04T08:55:55.2208951Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 122 <- wrt source file
2025-12-04T08:55:55.2210555Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-12-04T08:55:55.2212080Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 138 <- wrt source file
2025-12-04T08:55:55.2213647Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-12-04T08:55:55.2215174Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0, line 158 <- wrt source file
2025-12-04T08:55:55.2216738Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-12-04T08:55:55.2218307Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0, line 178 <- wrt source file
2025-12-04T08:55:55.2219882Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-12-04T08:55:55.2221401Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0, line 204 <- wrt source file
2025-12-04T08:55:55.2222922Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-12-04T08:55:55.2224401Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0, line 221 <- wrt source file
2025-12-04T08:55:55.2225921Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-12-04T08:55:55.2227431Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0, line 247 <- wrt source file
2025-12-04T08:55:55.2228975Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0
2025-12-04T08:55:55.2230574Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0, line 275 <- wrt source file
2025-12-04T08:55:55.2232143Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0
2025-12-04T08:55:55.2233661Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0, line 329 <- wrt source file
2025-12-04T08:55:55.2235204Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0
2025-12-04T08:55:55.2236711Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0, line 376 <- wrt source file
2025-12-04T08:55:55.2238294Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0
2025-12-04T08:55:55.2239780Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 417 <- wrt source file
2025-12-04T08:55:55.2241301Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-12-04T08:55:55.2242769Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file
2025-12-04T08:55:55.2244304Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-12-04T08:55:55.2245720Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file
2025-12-04T08:55:55.2247143Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-12-04T08:55:55.2248541Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file
2025-12-04T08:55:55.2249980Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-12-04T08:55:55.2251395Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file
2025-12-04T08:55:55.2252781Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-12-04T08:55:55.2254181Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file
2025-12-04T08:55:55.2255669Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-12-04T08:55:55.2257170Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 28 <- wrt source file
2025-12-04T08:55:55.2258798Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-12-04T08:55:55.2260452Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file
2025-12-04T08:55:55.2262176Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-12-04T08:55:55.2263919Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0, line 138 <- wrt source file
2025-12-04T08:55:55.2265763Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-12-04T08:55:55.2267536Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 191 <- wrt source file
2025-12-04T08:55:55.2269318Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-12-04T08:55:55.2271210Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 305 <- wrt source file
2025-12-04T08:55:55.2273045Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-12-04T08:55:55.2274812Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 436 <- wrt source file
2025-12-04T08:55:55.2276571Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-12-04T08:55:55.2278341Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file
2025-12-04T08:55:55.2280027Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-12-04T08:55:55.2281800Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file
2025-12-04T08:55:55.2283440Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-12-04T08:55:55.2285059Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
2025-12-04T08:55:55.2286797Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-12-04T08:55:55.2288414Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file
2025-12-04T08:55:55.2290019Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-12-04T08:55:55.2291613Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-12-04T08:55:55.2293233Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-12-04T08:55:55.2294871Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
2025-12-04T08:55:55.2296549Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-12-04T08:55:55.2298181Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 83 <- wrt source file
2025-12-04T08:55:55.2299848Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-12-04T08:55:55.2301363Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file
2025-12-04T08:55:55.2302835Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-12-04T08:55:55.2304149Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file
2025-12-04T08:55:55.2305453Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-12-04T08:55:55.2306696Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/split_module.py::split_module:0, line 94 <- wrt source file
2025-12-04T08:55:55.2307999Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-12-04T08:55:55.2309523Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file
2025-12-04T08:55:55.2311455Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0
2025-12-04T08:55:55.2313009Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file
2025-12-04T08:55:55.2314404Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-12-04T08:55:55.2315765Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file
2025-12-04T08:55:55.2317139Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-12-04T08:55:55.2318583Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file
2025-12-04T08:55:55.2320041Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-12-04T08:55:55.2321411Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file
2025-12-04T08:55:55.2322736Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-12-04T08:55:55.2323973Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file
2025-12-04T08:55:55.2325119Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/masked/_ops.py::logaddexp:0
2025-12-04T08:55:55.2326367Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file
2025-12-04T08:55:55.2327736Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-12-04T08:55:55.2329104Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file
2025-12-04T08:55:55.2330527Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-12-04T08:55:55.2331934Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file
2025-12-04T08:55:55.2983897Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-12-04T08:55:55.3009616Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file
2025-12-04T08:55:55.3021488Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-12-04T08:55:55.3024048Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file
2025-12-04T08:55:55.3033308Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding:0
2025-12-04T08:55:55.3035473Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file
2025-12-04T08:55:55.3047686Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding_bag:0
2025-12-04T08:55:55.3050314Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file
2025-12-04T08:55:55.3068044Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::ctc_loss:0
2025-12-04T08:55:55.3070259Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file
2025-12-04T08:55:55.3077854Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::nll_loss:0
2025-12-04T08:55:55.3080746Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file
2025-12-04T08:55:55.3091748Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::cross_entropy:0
2025-12-04T08:55:55.3094619Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file
2025-12-04T08:55:55.3101561Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-12-04T08:55:55.3104452Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file
2025-12-04T08:55:55.3111258Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-12-04T08:55:55.3113979Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file
2025-12-04T08:55:55.3125024Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::pad:0
2025-12-04T08:55:55.3127162Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-12-04T08:55:55.3136407Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_input:0
2025-12-04T08:55:55.3138846Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-12-04T08:55:55.3144626Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-12-04T08:55:55.3147147Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-12-04T08:55:55.3156483Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_input:0
2025-12-04T08:55:55.3158905Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-12-04T08:55:55.3164939Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-12-04T08:55:55.3167438Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-12-04T08:55:55.3211507Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_input:0
2025-12-04T08:55:55.3214304Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-12-04T08:55:55.3279114Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-12-04T08:55:55.3281660Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file
2025-12-04T08:55:55.3284207Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::calculate_gain:0
2025-12-04T08:55:55.3286312Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file
2025-12-04T08:55:55.3288482Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::uniform_:0
2025-12-04T08:55:55.3290446Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file
2025-12-04T08:55:55.3293307Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::normal_:0
2025-12-04T08:55:55.3295332Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file
2025-12-04T08:55:55.3300187Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::trunc_normal_:0
2025-12-04T08:55:55.3302630Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file
2025-12-04T08:55:55.3305109Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::constant_:0
2025-12-04T08:55:55.3307091Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file
2025-12-04T08:55:55.3309728Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::ones_:0
2025-12-04T08:55:55.3311794Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file
2025-12-04T08:55:55.3314404Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::zeros_:0
2025-12-04T08:55:55.3316345Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file
2025-12-04T08:55:55.3319852Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::eye_:0
2025-12-04T08:55:55.3321921Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file
2025-12-04T08:55:55.3325092Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::dirac_:0
2025-12-04T08:55:55.3327178Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file
2025-12-04T08:55:55.3329538Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-12-04T08:55:55.3331592Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file
2025-12-04T08:55:55.3333750Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_normal_:0
2025-12-04T08:55:55.3335883Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file
2025-12-04T08:55:55.3338226Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-12-04T08:55:55.3340362Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file
2025-12-04T08:55:55.3342543Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-12-04T08:55:55.3344642Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file
2025-12-04T08:55:55.3346754Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::orthogonal_:0
2025-12-04T08:55:55.3348968Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file
2025-12-04T08:55:55.3351075Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::sparse_:0
2025-12-04T08:55:55.3353199Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file
2025-12-04T08:55:55.3355570Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-12-04T08:55:55.3358115Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file
2025-12-04T08:55:55.3360859Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0
2025-12-04T08:55:55.3363691Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file
2025-12-04T08:55:55.3366435Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0
2025-12-04T08:55:55.3368914Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file
2025-12-04T08:55:55.3371196Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-12-04T08:55:55.3373487Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file
2025-12-04T08:55:55.3375864Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/varlen.py::varlen_attn:0
2025-12-04T08:55:55.3378153Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-12-04T08:55:55.3380737Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-12-04T08:55:55.3383052Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-12-04T08:55:55.3385331Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-12-04T08:55:55.3387573Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-12-04T08:55:55.3389854Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-12-04T08:55:55.3392235Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-12-04T08:55:55.3394701Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-12-04T08:55:55.3396973Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-12-04T08:55:55.3399255Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-12-04T08:55:55.3401511Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-12-04T08:55:55.3403898Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-12-04T08:55:55.3406353Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-12-04T08:55:55.3408788Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-12-04T08:55:55.3411086Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-12-04T08:55:55.3413339Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-12-04T08:55:55.3415555Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-12-04T08:55:55.3417822Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-12-04T08:55:55.3420120Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-12-04T08:55:55.3422373Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Mish:0
2025-12-04T08:55:55.3424657Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-12-04T08:55:55.3427017Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-12-04T08:55:55.3429281Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-12-04T08:55:55.3431586Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ELU:0
2025-12-04T08:55:55.3433803Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-12-04T08:55:55.3436071Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::CELU:0
2025-12-04T08:55:55.3438283Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-12-04T08:55:55.3440546Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SELU:0
2025-12-04T08:55:55.3442774Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-12-04T08:55:55.3445045Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GLU:0
2025-12-04T08:55:55.3447308Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-12-04T08:55:55.3449587Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GELU:0
2025-12-04T08:55:55.3451999Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-12-04T08:55:55.3454402Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-12-04T08:55:55.3456776Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-12-04T08:55:55.3459146Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-12-04T08:55:55.3461859Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-12-04T08:55:55.3464757Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-12-04T08:55:55.3467418Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-12-04T08:55:55.3469793Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-12-04T08:55:55.3472202Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-12-04T08:55:55.3474599Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-12-04T08:55:55.3477058Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file
2025-12-04T08:55:55.3479722Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-12-04T08:55:55.3483402Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file
2025-12-04T08:55:55.3485636Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-12-04T08:55:55.3487858Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file
2025-12-04T08:55:55.3490141Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-12-04T08:55:55.3492410Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file
2025-12-04T08:55:55.3494872Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-12-04T08:55:55.3497491Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file
2025-12-04T08:55:55.3500104Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-12-04T08:55:55.3502683Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file
2025-12-04T08:55:55.3505310Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-12-04T08:55:55.3507901Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file
2025-12-04T08:55:55.3510655Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-12-04T08:55:55.3513278Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file
2025-12-04T08:55:55.3516105Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-12-04T08:55:55.3518766Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file
2025-12-04T08:55:55.3523893Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-12-04T08:55:55.3526181Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file
2025-12-04T08:55:55.3744552Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-12-04T08:55:55.3747147Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file
2025-12-04T08:55:55.6146320Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-12-04T08:55:55.6311385Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file
2025-12-04T08:55:55.6314870Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2025-12-04T08:55:55.6317289Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file
2025-12-04T08:55:55.6320110Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2025-12-04T08:55:55.6322278Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-12-04T08:55:55.6339750Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-12-04T08:55:55.6342287Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-12-04T08:55:55.6344617Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential:0
2025-12-04T08:55:55.6346844Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file
2025-12-04T08:55:55.6353764Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-12-04T08:55:55.6356473Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file
2025-12-04T08:55:55.6362288Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-12-04T08:55:55.6364891Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file
2025-12-04T08:55:55.6371905Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-12-04T08:55:55.6374394Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file
2025-12-04T08:55:55.6376877Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-12-04T08:55:55.6379452Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file
2025-12-04T08:55:55.6382105Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-12-04T08:55:55.6384572Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file
2025-12-04T08:55:55.6387095Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-12-04T08:55:55.6389577Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file
2025-12-04T08:55:55.6392335Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-12-04T08:55:55.6394841Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-12-04T08:55:55.6397397Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-12-04T08:55:55.6399906Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-12-04T08:55:55.6402453Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-12-04T08:55:55.6404826Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-12-04T08:55:55.6407209Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-12-04T08:55:55.6409521Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-12-04T08:55:55.6411916Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-12-04T08:55:55.6414229Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-12-04T08:55:55.6430902Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-12-04T08:55:55.6433543Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-12-04T08:55:55.6501506Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-12-04T08:55:55.6504158Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-12-04T08:55:55.6509289Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-12-04T08:55:55.6512156Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-12-04T08:55:55.6582643Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-12-04T08:55:55.6585259Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file
2025-12-04T08:55:55.6592772Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-12-04T08:55:55.6594980Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file
2025-12-04T08:55:55.6613296Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2025-12-04T08:55:55.6615447Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-12-04T08:55:55.6622291Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Fold:0
2025-12-04T08:55:55.6624791Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-12-04T08:55:55.6659603Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-12-04T08:55:55.6662240Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file
2025-12-04T08:55:55.6674009Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-12-04T08:55:55.6676719Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file
2025-12-04T08:55:55.6849647Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-12-04T08:55:55.6852386Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file
2025-12-04T08:55:55.9247239Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-12-04T08:55:55.9409881Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-12-04T08:55:55.9415293Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-12-04T08:55:55.9417343Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-12-04T08:55:55.9424970Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Identity:0
2025-12-04T08:55:55.9427461Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-12-04T08:55:55.9436614Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Linear:0
2025-12-04T08:55:55.9439104Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-12-04T08:55:55.9459892Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-12-04T08:55:55.9462269Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file
2025-12-04T08:55:55.9469933Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-12-04T08:55:55.9472217Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file
2025-12-04T08:55:55.9499302Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-12-04T08:55:55.9502040Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file
2025-12-04T08:55:55.9507474Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-12-04T08:55:55.9509888Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file
2025-12-04T08:55:55.9533271Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-12-04T08:55:55.9535625Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file
2025-12-04T08:55:55.9543613Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-12-04T08:55:55.9546079Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file
2025-12-04T08:55:55.9550957Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-12-04T08:55:55.9553178Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file
2025-12-04T08:55:55.9558680Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-12-04T08:55:55.9561043Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file
2025-12-04T08:55:55.9572018Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-12-04T08:55:55.9574592Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file
2025-12-04T08:55:55.9579082Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-12-04T08:55:55.9581729Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file
2025-12-04T08:55:55.9589307Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-12-04T08:55:55.9591860Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file
2025-12-04T08:55:55.9600172Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-12-04T08:55:55.9602638Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file
2025-12-04T08:55:55.9605201Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-12-04T08:55:55.9607685Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file
2025-12-04T08:55:55.9614441Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-12-04T08:55:55.9616962Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file
2025-12-04T08:55:55.9622594Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-12-04T08:55:55.9625045Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file
2025-12-04T08:55:55.9632226Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-12-04T08:55:55.9634772Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file
2025-12-04T08:55:55.9644685Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-12-04T08:55:55.9647346Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file
2025-12-04T08:55:55.9667905Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2025-12-04T08:55:55.9671201Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file
2025-12-04T08:55:55.9702629Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-12-04T08:55:55.9704951Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file
2025-12-04T08:55:55.9707438Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-12-04T08:55:55.9709787Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file
2025-12-04T08:55:55.9719224Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-12-04T08:55:55.9721705Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file
2025-12-04T08:55:55.9727985Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.to:0
2025-12-04T08:55:55.9730258Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file
2025-12-04T08:55:55.9732649Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-12-04T08:55:55.9735008Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file
2025-12-04T08:55:55.9737415Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-12-04T08:55:55.9739860Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file
2025-12-04T08:55:55.9742350Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-12-04T08:55:55.9744726Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file
2025-12-04T08:55:55.9747041Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-12-04T08:55:55.9749368Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file
2025-12-04T08:55:55.9751855Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-12-04T08:55:55.9754362Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file
2025-12-04T08:55:55.9756809Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-12-04T08:55:55.9759258Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file
2025-12-04T08:55:55.9761575Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-12-04T08:55:55.9763848Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file
2025-12-04T08:55:55.9766386Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-12-04T08:55:55.9769758Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-12-04T08:55:55.9784317Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-12-04T08:55:55.9787443Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-12-04T08:55:55.9795598Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-12-04T08:55:55.9798319Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-12-04T08:55:55.9804923Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-12-04T08:55:55.9807778Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file
2025-12-04T08:55:55.9811555Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-12-04T08:55:55.9813865Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-12-04T08:55:55.9818792Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-12-04T08:55:55.9821119Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file
2025-12-04T08:55:55.9841235Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-12-04T08:55:55.9843556Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file
2025-12-04T08:55:56.6013962Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-12-04T08:55:56.6331448Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file
2025-12-04T08:55:56.6343950Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-12-04T08:55:56.6346262Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file
2025-12-04T08:55:56.6351188Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-12-04T08:55:56.6353519Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file
2025-12-04T08:55:56.6376654Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-12-04T08:55:56.6379253Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file
2025-12-04T08:55:56.6384732Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-12-04T08:55:56.6387079Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file
2025-12-04T08:55:56.6391547Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-12-04T08:55:56.6394094Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file
2025-12-04T08:55:56.6396497Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-12-04T08:55:56.6398837Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file
2025-12-04T08:55:56.6403213Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-12-04T08:55:56.6405564Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file
2025-12-04T08:55:56.6410575Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-12-04T08:55:56.6413053Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file
2025-12-04T08:55:57.1475717Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-12-04T08:55:57.1787169Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file
2025-12-04T08:55:57.1798515Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-12-04T08:55:57.1800889Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file
2025-12-04T08:55:57.1806399Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-12-04T08:55:57.1808662Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file
2025-12-04T08:55:57.1829900Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-12-04T08:55:57.1832559Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-12-04T08:55:57.1837337Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-12-04T08:55:57.1839927Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-12-04T08:55:57.1844224Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-12-04T08:55:57.1846709Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-12-04T08:55:57.1851193Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-12-04T08:55:57.1853800Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-12-04T08:55:57.1910123Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-12-04T08:55:57.1912498Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-12-04T08:55:57.4114301Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-12-04T08:55:57.4172117Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-12-04T08:55:57.4187104Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-12-04T08:55:57.4189485Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file
2025-12-04T08:55:57.4210840Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2025-12-04T08:55:57.4213250Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-12-04T08:55:57.5002703Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-12-04T08:55:57.5005101Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-12-04T08:55:57.5023248Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-12-04T08:55:57.5025612Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-12-04T08:55:57.5063442Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-12-04T08:55:57.5065683Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-12-04T08:55:57.6644311Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-12-04T08:55:57.6702515Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-12-04T08:55:57.6752697Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-12-04T08:55:57.6755096Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-12-04T08:55:57.7419611Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-12-04T08:55:57.7421807Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file
2025-12-04T08:55:57.7430936Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-12-04T08:55:57.7433612Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file
2025-12-04T08:55:57.7484958Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-12-04T08:55:57.7488212Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file
2025-12-04T08:55:57.9591660Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-12-04T08:55:57.9649527Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file
2025-12-04T08:55:57.9656380Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-12-04T08:55:57.9658948Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file
2025-12-04T08:55:57.9668223Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-12-04T08:55:57.9670853Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file
2025-12-04T08:55:57.9762039Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-12-04T08:55:57.9764626Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file
2025-12-04T08:55:57.9767538Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-12-04T08:55:57.9770086Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file
2025-12-04T08:55:57.9777627Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-12-04T08:55:57.9780321Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file
2025-12-04T08:55:57.9798069Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-12-04T08:55:57.9800407Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file
2025-12-04T08:55:57.9812051Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-12-04T08:55:57.9814728Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file
2025-12-04T08:55:58.0163716Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-12-04T08:55:58.0166461Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file
2025-12-04T08:55:58.0182819Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-12-04T08:55:58.0185853Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file
2025-12-04T08:55:58.0197288Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-12-04T08:55:58.0199534Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file
2025-12-04T08:55:58.0209140Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-12-04T08:55:58.0211379Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file
2025-12-04T08:55:58.0224228Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-12-04T08:55:58.0226489Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-12-04T08:55:58.0241260Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-12-04T08:55:58.0243782Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file
2025-12-04T08:55:58.0248106Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-12-04T08:55:58.0250872Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file
2025-12-04T08:55:58.0265042Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2025-12-04T08:55:58.0267627Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file
2025-12-04T08:55:58.0273142Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-12-04T08:55:58.0275738Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file
2025-12-04T08:55:58.8475443Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-12-04T08:55:58.8614565Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file
2025-12-04T08:55:58.8617227Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-12-04T08:55:58.8619760Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file
2025-12-04T08:55:58.9750260Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-12-04T08:55:58.9755984Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file
2025-12-04T08:55:59.2228497Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-12-04T08:55:59.2238795Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file
2025-12-04T08:55:59.2529718Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-12-04T08:55:59.2532775Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file
2025-12-04T08:55:59.3083131Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-12-04T08:55:59.3085926Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-12-04T08:55:59.3111928Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-12-04T08:55:59.3114489Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-12-04T08:55:59.3125600Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-12-04T08:55:59.3128293Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-12-04T08:55:59.3135428Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-12-04T08:55:59.3138139Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file
2025-12-04T08:55:59.3141104Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-12-04T08:55:59.3143861Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file
2025-12-04T08:55:59.3146715Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-12-04T08:55:59.3149597Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file
2025-12-04T08:55:59.3152678Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-12-04T08:55:59.3155766Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file
2025-12-04T08:55:59.3158769Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2025-12-04T08:55:59.3161837Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file
2025-12-04T08:55:59.3165090Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-12-04T08:55:59.3168894Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file
2025-12-04T08:55:59.3171991Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-12-04T08:55:59.3175082Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file
2025-12-04T08:55:59.3178315Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-12-04T08:55:59.3181573Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file
2025-12-04T08:55:59.3184670Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2025-12-04T08:55:59.3187448Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file
2025-12-04T08:55:59.3190097Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0
2025-12-04T08:55:59.3192567Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file
2025-12-04T08:55:59.3194675Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/init.py::skip_init:0
2025-12-04T08:55:59.3197094Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file
2025-12-04T08:55:59.3199858Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2025-12-04T08:55:59.3202702Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file
2025-12-04T08:55:59.3205487Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0
2025-12-04T08:55:59.3208045Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file
2025-12-04T08:55:59.3210474Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-12-04T08:55:59.3212862Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file
2025-12-04T08:55:59.3215302Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-12-04T08:55:59.3217773Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file
2025-12-04T08:55:59.3220276Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-12-04T08:55:59.3222507Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file
2025-12-04T08:55:59.3224619Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::identity:0
2025-12-04T08:55:59.3226816Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file
2025-12-04T08:55:59.3229546Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-12-04T08:55:59.3231838Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file
2025-12-04T08:55:59.3234094Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-12-04T08:55:59.3236336Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file
2025-12-04T08:55:59.3238966Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-12-04T08:55:59.3241210Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file
2025-12-04T08:55:59.3243413Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::ln_structured:0
2025-12-04T08:55:59.3245673Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file
2025-12-04T08:55:59.3248095Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2025-12-04T08:55:59.3250358Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file
2025-12-04T08:55:59.3252610Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2025-12-04T08:55:59.3254762Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file
2025-12-04T08:55:59.3256852Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::remove:0
2025-12-04T08:55:59.3259010Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file
2025-12-04T08:55:59.3261161Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-12-04T08:55:59.3263357Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file
2025-12-04T08:55:59.3265598Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-12-04T08:55:59.3267763Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file
2025-12-04T08:55:59.3269963Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-12-04T08:55:59.3272206Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file
2025-12-04T08:55:59.3274396Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-12-04T08:55:59.3276520Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file
2025-12-04T08:55:59.3282775Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-12-04T08:55:59.3284935Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file
2025-12-04T08:55:59.3300101Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-12-04T08:55:59.3302390Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file
2025-12-04T08:55:59.3307951Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-12-04T08:55:59.3310450Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file
2025-12-04T08:55:59.3315928Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-12-04T08:55:59.3318333Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file
2025-12-04T08:55:59.3320753Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-12-04T08:55:59.3323059Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file
2025-12-04T08:55:59.3328138Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-12-04T08:55:59.3330601Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file
2025-12-04T08:55:59.3334317Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-12-04T08:55:59.3336809Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file
2025-12-04T08:55:59.3339409Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-12-04T08:55:59.3342441Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/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
2025-12-04T08:55:59.3345694Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0
2025-12-04T08:55:59.3348359Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file
2025-12-04T08:55:59.3350666Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-12-04T08:55:59.3352955Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file
2025-12-04T08:55:59.3355362Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-12-04T08:55:59.3357638Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file
2025-12-04T08:55:59.3359818Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-12-04T08:55:59.3362036Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file
2025-12-04T08:55:59.3364334Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-12-04T08:55:59.3366545Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file
2025-12-04T08:55:59.3368767Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-12-04T08:55:59.3370953Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file
2025-12-04T08:55:59.3373192Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-12-04T08:55:59.3375419Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file
2025-12-04T08:55:59.3377781Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-12-04T08:55:59.3380032Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file
2025-12-04T08:55:59.3382497Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-12-04T08:55:59.3384784Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file
2025-12-04T08:55:59.3387150Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-12-04T08:55:59.3389468Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file
2025-12-04T08:55:59.3391945Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-12-04T08:55:59.3394299Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file
2025-12-04T08:55:59.3396687Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-12-04T08:55:59.3399030Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file
2025-12-04T08:55:59.3401248Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-12-04T08:55:59.3403647Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file
2025-12-04T08:55:59.3406269Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-12-04T08:55:59.3408899Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file
2025-12-04T08:55:59.3411627Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-12-04T08:55:59.3414404Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file
2025-12-04T08:55:59.3417124Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-12-04T08:55:59.3419560Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file
2025-12-04T08:55:59.3421788Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-12-04T08:55:59.3424103Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file
2025-12-04T08:55:59.3426596Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-12-04T08:55:59.3428913Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file
2025-12-04T08:55:59.3431187Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2025-12-04T08:55:59.3433383Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file
2025-12-04T08:55:59.3435617Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2025-12-04T08:55:59.3437758Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file
2025-12-04T08:55:59.3439881Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-12-04T08:55:59.3441955Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file
2025-12-04T08:55:59.3444070Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::SWALR:0
2025-12-04T08:55:59.3446182Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-12-04T08:55:59.3448401Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-12-04T08:55:59.3450889Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 317 <- wrt source file
2025-12-04T08:55:59.3453712Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-12-04T08:55:59.3456239Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file
2025-12-04T08:55:59.3458431Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::profile:0
2025-12-04T08:55:59.3460762Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 342 <- wrt source file
2025-12-04T08:55:59.3463370Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-12-04T08:55:59.3465791Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file
2025-12-04T08:55:59.3468145Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_comparison.py::assert_close:0
2025-12-04T08:55:59.3470409Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-12-04T08:55:59.3472625Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_creation.py::make_tensor:0
2025-12-04T08:55:59.3474956Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file
2025-12-04T08:55:59.3477474Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-12-04T08:55:59.3479971Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 769 <- wrt source file
2025-12-04T08:55:59.3482679Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-12-04T08:55:59.3485171Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 858 <- wrt source file
2025-12-04T08:55:59.3487693Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-12-04T08:55:59.3490303Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4839 <- wrt source file
2025-12-04T08:55:59.3493113Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-12-04T08:55:59.3495888Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4853 <- wrt source file
2025-12-04T08:55:59.3498705Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-12-04T08:55:59.3501558Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4883 <- wrt source file
2025-12-04T08:55:59.3504350Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-12-04T08:55:59.3506970Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file
2025-12-04T08:55:59.3509534Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-12-04T08:55:59.3512361Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file
2025-12-04T08:55:59.3515099Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-12-04T08:55:59.3517980Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 341 <- wrt source file
2025-12-04T08:55:59.3521080Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2025-12-04T08:55:59.3524155Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file
2025-12-04T08:55:59.3527404Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-12-04T08:55:59.3530090Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 159 <- wrt source file
2025-12-04T08:55:59.3532494Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0
2025-12-04T08:55:59.3534723Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 316 <- wrt source file
2025-12-04T08:55:59.3536927Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-12-04T08:55:59.3539105Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file
2025-12-04T08:55:59.3541326Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-12-04T08:55:59.3543518Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file
2025-12-04T08:55:59.3545782Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-12-04T08:55:59.3547948Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file
2025-12-04T08:55:59.3550165Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-12-04T08:55:59.3552297Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file
2025-12-04T08:55:59.3554512Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-12-04T08:55:59.3556740Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file
2025-12-04T08:55:59.3559068Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-12-04T08:55:59.3561216Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file
2025-12-04T08:55:59.3563381Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-12-04T08:55:59.3565565Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file
2025-12-04T08:55:59.3567876Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-12-04T08:55:59.3570204Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file
2025-12-04T08:55:59.3572476Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-12-04T08:55:59.3574716Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file
2025-12-04T08:55:59.3576979Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_constant:0
2025-12-04T08:55:59.3579133Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file
2025-12-04T08:55:59.3581555Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-12-04T08:55:59.3583664Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file
2025-12-04T08:55:59.3585783Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_map:0
2025-12-04T08:55:59.3588181Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file
2025-12-04T08:55:59.3590980Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-12-04T08:55:59.3593787Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file
2025-12-04T08:55:59.3596780Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-12-04T08:55:59.3599513Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 417 <- wrt source file
2025-12-04T08:55:59.3602115Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-12-04T08:55:59.3604609Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 561 <- wrt source file
2025-12-04T08:55:59.3607070Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-12-04T08:55:59.3609521Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 763 <- wrt source file
2025-12-04T08:55:59.3612073Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-12-04T08:55:59.3614712Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file
2025-12-04T08:55:59.3617326Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0
2025-12-04T08:55:59.3619950Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file
2025-12-04T08:55:59.3622697Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0
2025-12-04T08:55:59.3625325Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file
2025-12-04T08:55:59.3627674Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2025-12-04T08:55:59.3630050Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file
2025-12-04T08:55:59.3632410Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2025-12-04T08:55:59.3634717Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file
2025-12-04T08:55:59.3637083Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2025-12-04T08:55:59.3639446Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file
2025-12-04T08:55:59.3641790Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::SyclExtension:0
2025-12-04T08:55:59.3643973Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::load:0, line 1759 <- wrt source file
2025-12-04T08:55:59.3646153Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::load:0
2025-12-04T08:55:59.3648331Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::load_inline:0, line 2032 <- wrt source file
2025-12-04T08:55:59.3650601Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::load_inline:0
2025-12-04T08:55:59.3652759Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-12-04T08:55:59.3654890Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-12-04T08:55:59.3657277Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file
2025-12-04T08:55:59.3659908Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2025-12-04T08:55:59.3662543Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file
2025-12-04T08:55:59.4019115Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-12-04T08:55:59.4022162Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-12-04T08:55:59.4026202Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-12-04T08:55:59.4029253Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file
2025-12-04T08:55:59.4032144Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-12-04T08:55:59.4034912Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file
2025-12-04T08:55:59.4037585Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::random_split:0
2025-12-04T08:55:59.4040624Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file
2025-12-04T08:55:59.4043721Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2025-12-04T08:55:59.4046547Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file
2025-12-04T08:55:59.4049122Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-12-04T08:55:59.4051962Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file
2025-12-04T08:55:59.4055014Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-12-04T08:55:59.4057717Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file
2025-12-04T08:55:59.4060197Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-12-04T08:55:59.4062549Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file
2025-12-04T08:55:59.4065173Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-12-04T08:55:59.4067512Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file
2025-12-04T08:55:59.4069936Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-12-04T08:55:59.4072385Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file
2025-12-04T08:55:59.4074857Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-12-04T08:55:59.4077350Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file
2025-12-04T08:55:59.4079901Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-12-04T08:55:59.4082685Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file
2025-12-04T08:55:59.4085412Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-12-04T08:55:59.4088072Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file
2025-12-04T08:55:59.4091045Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-12-04T08:55:59.4093840Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file
2025-12-04T08:55:59.4096745Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-12-04T08:55:59.4099633Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file
2025-12-04T08:55:59.4102740Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T08:55:59.4105632Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file
2025-12-04T08:55:59.4108533Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-12-04T08:55:59.4111583Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 89 <- wrt source file
2025-12-04T08:55:59.4114425Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-12-04T08:55:59.4117155Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 308 <- wrt source file
2025-12-04T08:55:59.4119966Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-12-04T08:55:59.4122811Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 397 <- wrt source file
2025-12-04T08:55:59.4125833Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-12-04T08:55:59.4128771Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file
2025-12-04T08:55:59.4131721Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-12-04T08:55:59.4134569Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file
2025-12-04T08:55:59.4137409Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-12-04T08:55:59.4140263Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file
2025-12-04T08:55:59.4143221Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-12-04T08:55:59.4146118Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file
2025-12-04T08:55:59.4149074Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-12-04T08:55:59.4151971Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file
2025-12-04T08:55:59.4154844Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-12-04T08:55:59.4157644Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 102 <- wrt source file
2025-12-04T08:55:59.4160529Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-12-04T08:55:59.4163425Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 169 <- wrt source file
2025-12-04T08:55:59.4166352Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-12-04T08:55:59.4169151Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file
2025-12-04T08:55:59.4172004Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-12-04T08:55:59.4174905Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file
2025-12-04T08:55:59.4177947Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-12-04T08:55:59.4181066Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file
2025-12-04T08:55:59.4184037Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-12-04T08:55:59.4186845Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file
2025-12-04T08:55:59.4189599Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-12-04T08:55:59.4192484Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file
2025-12-04T08:55:59.4195458Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T08:55:59.4198293Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file
2025-12-04T08:55:59.4201138Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-12-04T08:55:59.4203890Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 76 <- wrt source file
2025-12-04T08:55:59.4206693Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-12-04T08:55:59.4209437Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file
2025-12-04T08:55:59.4212256Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-12-04T08:55:59.4215133Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file
2025-12-04T08:55:59.4218040Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-12-04T08:55:59.4220809Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file
2025-12-04T08:55:59.4223568Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-12-04T08:55:59.4226364Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file
2025-12-04T08:55:59.4229062Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-12-04T08:55:59.4231670Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file
2025-12-04T08:55:59.6495474Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-12-04T08:55:59.6497998Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file
2025-12-04T08:55:59.6501024Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-12-04T08:55:59.6503681Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file
2025-12-04T08:55:59.6506457Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-12-04T08:55:59.6509196Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file
2025-12-04T08:55:59.6511609Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-12-04T08:55:59.6513184Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file
2025-12-04T08:55:59.6514851Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-12-04T08:55:59.6516315Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file
2025-12-04T08:55:59.6517782Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-12-04T08:55:59.6519242Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file
2025-12-04T08:55:59.6520707Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-12-04T08:55:59.6522188Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file
2025-12-04T08:55:59.6523823Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-12-04T08:55:59.6526612Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file
2025-12-04T08:55:59.6529054Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-12-04T08:55:59.6531582Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file
2025-12-04T08:55:59.6534088Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-12-04T08:55:59.6537238Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file
2025-12-04T08:55:59.6539903Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-12-04T08:55:59.6542088Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file
2025-12-04T08:55:59.6544060Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-12-04T08:55:59.6546615Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file
2025-12-04T08:55:59.6549049Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-12-04T08:55:59.6551087Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file
2025-12-04T08:55:59.6552978Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-12-04T08:55:59.6554585Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file
2025-12-04T08:55:59.6556294Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-12-04T08:55:59.6557977Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file
2025-12-04T08:55:59.6559667Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-12-04T08:55:59.6561269Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file
2025-12-04T08:55:59.6562829Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-12-04T08:55:59.6564299Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file
2025-12-04T08:55:59.6565757Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-12-04T08:55:59.6566524Z ============
2025-12-04T08:55:59.6566811Z Finished doctests
2025-12-04T08:55:59.6567041Z 378 / 894 passed
2025-12-04T08:55:59.6567371Z 
2025-12-04T08:55:59.6567684Z === Found 17 parse-time warnings ===
2025-12-04T08:55:59.6568096Z --- Parse Warning: 1 / 17 ---
2025-12-04T08:55:59.6569201Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=368.
2025-12-04T08:55:59.6570447Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6571065Z     Registers the function implementation as the fallback for the given key.
2025-12-04T08:55:59.6571500Z     
2025-12-04T08:55:59.6571839Z             This function only works for a library with global namespace ("_").
2025-12-04T08:55:59.6572270Z     
2025-12-04T08:55:59.6572457Z             Args:
2025-12-04T08:55:59.6572957Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T08:55:59.6573481Z                     to register a fallthrough.
2025-12-04T08:55:59.6574029Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T08:55:59.6574641Z                               the dispatch key that the library was created with.
2025-12-04T08:55:59.6575306Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T08:55:59.6576129Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T08:55:59.6576646Z     
2025-12-04T08:55:59.6576853Z             Example::
2025-12-04T08:55:59.6577092Z     
2025-12-04T08:55:59.6577307Z                 >>> my_lib = Library("_", "IMPL")
2025-12-04T08:55:59.6577711Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T08:55:59.6578104Z                 >>>     # Handle all autocast ops generically
2025-12-04T08:55:59.6578435Z                 >>>     # ...
2025-12-04T08:55:59.6578762Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T08:55:59.6579114Z             
2025-12-04T08:55:59.6579883Z     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))
2025-12-04T08:55:59.6581017Z     
2025-12-04T08:55:59.6581268Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T08:55:59.6581599Z     ^
2025-12-04T08:55:59.6581802Z       warnings.warn(msg)
2025-12-04T08:55:59.6582057Z     
2025-12-04T08:55:59.6582367Z --- Parse Warning: 2 / 17 ---
2025-12-04T08:55:59.6583440Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=958.
2025-12-04T08:55:59.6584668Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6585283Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T08:55:59.6585719Z     
2025-12-04T08:55:59.6586003Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T08:55:59.6586381Z     
2025-12-04T08:55:59.6586743Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T08:55:59.6587323Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T08:55:59.6587906Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T08:55:59.6588411Z         what the properties of the output Tensors are.
2025-12-04T08:55:59.6588754Z     
2025-12-04T08:55:59.6589087Z         The FakeTensor implementation has the same signature as the operator.
2025-12-04T08:55:59.6589660Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T08:55:59.6590279Z         implementation, assume that all Tensor inputs to the operator are
2025-12-04T08:55:59.6590904Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T08:55:59.6591437Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T08:55:59.6592007Z         The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T08:55:59.6592559Z         (and may not directly access the storage or data of any input or
2025-12-04T08:55:59.6592968Z         intermediate Tensors).
2025-12-04T08:55:59.6593241Z     
2025-12-04T08:55:59.6593507Z         This API may be used as a decorator (see examples).
2025-12-04T08:55:59.6593845Z     
2025-12-04T08:55:59.6594100Z         For a detailed guide on custom ops, please see
2025-12-04T08:55:59.6594618Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T08:55:59.6595123Z     
2025-12-04T08:55:59.6595320Z         Args:
2025-12-04T08:55:59.6595775Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T08:55:59.6596247Z             func: Fake tensor implementation.
2025-12-04T08:55:59.6596666Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T08:55:59.6597172Z             allow_override: Flag controlling if we want to override an
2025-12-04T08:55:59.6597652Z                             existing registered fake impl. This is by default off,
2025-12-04T08:55:59.6598113Z                             and will error you're trying to register a fake impl to
2025-12-04T08:55:59.6598588Z                             an operator that already has a fake impl. This also only
2025-12-04T08:55:59.6599050Z                             applies if the custom operator was not created via
2025-12-04T08:55:59.6599621Z                             torch.library.custom_op, as overriding and existing fake
2025-12-04T08:55:59.6600040Z                             impl is already allowed.
2025-12-04T08:55:59.6600359Z     
2025-12-04T08:55:59.6600567Z         Examples:
2025-12-04T08:55:59.6600807Z             >>> import torch
2025-12-04T08:55:59.6601092Z             >>> import numpy as np
2025-12-04T08:55:59.6601404Z             >>> from torch import Tensor
2025-12-04T08:55:59.6601699Z             >>>
2025-12-04T08:55:59.6602023Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T08:55:59.6602557Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T08:55:59.6603103Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T08:55:59.6603628Z             >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T08:55:59.6604011Z             >>>
2025-12-04T08:55:59.6604317Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T08:55:59.6604697Z             >>> def _(x, weight, bias):
2025-12-04T08:55:59.6605012Z             >>>     assert x.dim() == 2
2025-12-04T08:55:59.6605337Z             >>>     assert weight.dim() == 2
2025-12-04T08:55:59.6605655Z             >>>     assert bias.dim() == 1
2025-12-04T08:55:59.6606005Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T08:55:59.6606383Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T08:55:59.6606756Z             >>>     assert x.device == weight.device
2025-12-04T08:55:59.6607069Z             >>>
2025-12-04T08:55:59.6607322Z             >>>     return (x @ weight.t()) + bias
2025-12-04T08:55:59.6607642Z             >>>
2025-12-04T08:55:59.6607937Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T08:55:59.6608341Z             >>>     x = torch.randn(2, 3)
2025-12-04T08:55:59.6608667Z             >>>     w = torch.randn(3, 3)
2025-12-04T08:55:59.6608972Z             >>>     b = torch.randn(3)
2025-12-04T08:55:59.6609326Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T08:55:59.6609677Z             >>>
2025-12-04T08:55:59.6609908Z             >>> assert y.shape == (2, 3)
2025-12-04T08:55:59.6610245Z             >>>
2025-12-04T08:55:59.6610553Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T08:55:59.6611091Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T08:55:59.6611614Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T08:55:59.6611974Z             >>>     x_np = x.numpy(force=True)
2025-12-04T08:55:59.6612334Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T08:55:59.6612713Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T08:55:59.6613050Z             >>>
2025-12-04T08:55:59.6613363Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T08:55:59.6613735Z             >>> def _(x):
2025-12-04T08:55:59.6614053Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T08:55:59.6614614Z             >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T08:55:59.6615048Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T08:55:59.6615445Z             >>> # represents the data-dependent size.
2025-12-04T08:55:59.6615805Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T08:55:59.6616157Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T08:55:59.6616478Z             >>>     shape = [nnz, x.dim()]
2025-12-04T08:55:59.6616844Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T08:55:59.6617211Z             >>>     return result
2025-12-04T08:55:59.6617472Z             >>>
2025-12-04T08:55:59.6617789Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T08:55:59.6618175Z             >>>
2025-12-04T08:55:59.6618425Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T08:55:59.6618919Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T08:55:59.6619403Z             >>> trace.print_readable()
2025-12-04T08:55:59.6619699Z             >>>
2025-12-04T08:55:59.6620047Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T08:55:59.6620474Z     
2025-12-04T08:55:59.6620669Z         
2025-12-04T08:55:59.6621310Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T08:55:59.6622047Z     
2025-12-04T08:55:59.6622244Z     _._ = None
2025-12-04T08:55:59.6622457Z     ^
2025-12-04T08:55:59.6622660Z       warnings.warn(msg)
2025-12-04T08:55:59.6622914Z     
2025-12-04T08:55:59.6623260Z --- Parse Warning: 3 / 17 ---
2025-12-04T08:55:59.6624336Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=1530.
2025-12-04T08:55:59.6625554Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6626150Z     Returns the computed kernel for a given operator and dispatch key.
2025-12-04T08:55:59.6626555Z     
2025-12-04T08:55:59.6626893Z         This function retrieves the kernel that would be executed for a given
2025-12-04T08:55:59.6627476Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T08:55:59.6628028Z         can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T08:55:59.6628543Z         case for this function is to retrieve the original kernel for a given
2025-12-04T08:55:59.6629101Z         dispatch key and then register another kernel to the same dispatch key
2025-12-04T08:55:59.6629611Z         that calls into the original kernel for certain cases.
2025-12-04T08:55:59.6629964Z     
2025-12-04T08:55:59.6630273Z         Args:
2025-12-04T08:55:59.6630608Z             op: Operator name (along with the overload) or OpOverload object
2025-12-04T08:55:59.6631170Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T08:55:59.6631817Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T08:55:59.6632387Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T08:55:59.6632785Z     
2025-12-04T08:55:59.6632974Z         Returns:
2025-12-04T08:55:59.6633358Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T08:55:59.6633821Z                 call the kernel.
2025-12-04T08:55:59.6634080Z     
2025-12-04T08:55:59.6634278Z         Raises:
2025-12-04T08:55:59.6634556Z             RuntimeError: If the operator does not exist.
2025-12-04T08:55:59.6634895Z     
2025-12-04T08:55:59.6635080Z         Example:
2025-12-04T08:55:59.6635342Z             >>> # Get the CPU kernel for torch.add
2025-12-04T08:55:59.6635854Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T08:55:59.6636244Z             >>>
2025-12-04T08:55:59.6636503Z             >>> # You can also use DispatchKey enum
2025-12-04T08:55:59.6637003Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T08:55:59.6637456Z             >>>
2025-12-04T08:55:59.6637705Z             >>> # Or use an OpOverload directly
2025-12-04T08:55:59.6638164Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T08:55:59.6638603Z             >>>
2025-12-04T08:55:59.6638943Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T08:55:59.6639413Z             >>> # Get the original kernel for torch.sin
2025-12-04T08:55:59.6639873Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T08:55:59.6640313Z             >>>
2025-12-04T08:55:59.6640673Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T08:55:59.6641171Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T08:55:59.6641519Z             >>>     if (x < 0).any():
2025-12-04T08:55:59.6641905Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T08:55:59.6642303Z             >>>     else:
2025-12-04T08:55:59.6642598Z             >>>         return torch.zeros_like(x)
2025-12-04T08:55:59.6642904Z             >>>
2025-12-04T08:55:59.6643178Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T08:55:59.6643698Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T08:55:59.6644263Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T08:55:59.6644770Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T08:55:59.6645176Z             >>>
2025-12-04T08:55:59.6645430Z             >>> # Test the conditional behavior
2025-12-04T08:55:59.6645782Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T08:55:59.6646143Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T08:55:59.6646491Z             >>> torch.sin(x_positive)
2025-12-04T08:55:59.6646789Z             tensor([0., 0.])
2025-12-04T08:55:59.6647076Z             >>> torch.sin(x_mixed)
2025-12-04T08:55:59.6647378Z             tensor([-0.8415, 0.9093])
2025-12-04T08:55:59.6647655Z         
2025-12-04T08:55:59.6648270Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T08:55:59.6648960Z     
2025-12-04T08:55:59.6649246Z     which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T08:55:59.6649639Z           ^
2025-12-04T08:55:59.6649867Z       warnings.warn(msg)
2025-12-04T08:55:59.6650122Z     
2025-12-04T08:55:59.6650442Z --- Parse Warning: 4 / 17 ---
2025-12-04T08:55:59.6651588Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=70.
2025-12-04T08:55:59.6652979Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6653605Z     Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T08:55:59.6654187Z         required drivers are available and at least one device is visible.
2025-12-04T08:55:59.6654671Z         See :ref:`accelerator<accelerators>` for details.
2025-12-04T08:55:59.6655018Z     
2025-12-04T08:55:59.6655206Z         Returns:
2025-12-04T08:55:59.6655620Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T08:55:59.6656100Z     
2025-12-04T08:55:59.6656456Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T08:55:59.6657132Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T08:55:59.6657775Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T08:55:59.6658301Z             :ref:`multiprocessing-poison-fork-note`.
2025-12-04T08:55:59.6658632Z     
2025-12-04T08:55:59.6658840Z         Example::
2025-12-04T08:55:59.6659064Z     
2025-12-04T08:55:59.6659434Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:55:59.6659906Z         
2025-12-04T08:55:59.6660590Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T08:55:59.6661356Z     
2025-12-04T08:55:59.6661720Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:55:59.6662237Z                                             ^
2025-12-04T08:55:59.6662548Z       warnings.warn(msg)
2025-12-04T08:55:59.6662787Z     
2025-12-04T08:55:59.6663097Z --- Parse Warning: 5 / 17 ---
2025-12-04T08:55:59.6664248Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=239.
2025-12-04T08:55:59.6665516Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6666086Z     Wait for all kernels in all streams on the given device to complete.
2025-12-04T08:55:59.6666499Z     
2025-12-04T08:55:59.6666703Z         Args:
2025-12-04T08:55:59.6667144Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T08:55:59.6667816Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T08:55:59.6668371Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T08:55:59.6668772Z     
2025-12-04T08:55:59.6669186Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T08:55:59.6669704Z     
2025-12-04T08:55:59.6669906Z         Example::
2025-12-04T08:55:59.6670204Z     
2025-12-04T08:55:59.6670462Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T08:55:59.6670992Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:55:59.6671516Z             >>> start_event = torch.Event(enable_timing=True)
2025-12-04T08:55:59.6671917Z             >>> end_event = torch.Event(enable_timing=True)
2025-12-04T08:55:59.6672275Z             >>> start_event.record()
2025-12-04T08:55:59.6672724Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T08:55:59.6673181Z             >>> sum = torch.sum(tensor)
2025-12-04T08:55:59.6673498Z             >>> end_event.record()
2025-12-04T08:55:59.6673831Z             >>> torch.accelerator.synchronize()
2025-12-04T08:55:59.6674226Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T08:55:59.6674638Z         
2025-12-04T08:55:59.6675325Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T08:55:59.6676092Z     
2025-12-04T08:55:59.6676455Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T08:55:59.6676943Z                                             ^
2025-12-04T08:55:59.6677251Z       warnings.warn(msg)
2025-12-04T08:55:59.6677490Z     
2025-12-04T08:55:59.6677797Z --- Parse Warning: 6 / 17 ---
2025-12-04T08:55:59.6678883Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py line=448.
2025-12-04T08:55:59.6680302Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6680801Z     Retrieves the CUDA runtime API module.
2025-12-04T08:55:59.6681116Z     
2025-12-04T08:55:59.6681310Z     
2025-12-04T08:55:59.6681665Z         This function initializes the CUDA runtime environment if it is not already
2025-12-04T08:55:59.6682280Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T08:55:59.6682859Z         runtime API module provides access to various CUDA runtime functions.
2025-12-04T08:55:59.6683278Z     
2025-12-04T08:55:59.6683479Z         Args:
2025-12-04T08:55:59.6683698Z             ``None``
2025-12-04T08:55:59.6683918Z     
2025-12-04T08:55:59.6684113Z         Returns:
2025-12-04T08:55:59.6684396Z             module: The CUDA runtime API module (_cudart).
2025-12-04T08:55:59.6684723Z     
2025-12-04T08:55:59.6684984Z         Raises:
2025-12-04T08:55:59.6685359Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T08:55:59.6686082Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T08:55:59.6686637Z     
2025-12-04T08:55:59.6686890Z         Example of CUDA operations with profiling:
2025-12-04T08:55:59.6687241Z             >>> import torch
2025-12-04T08:55:59.6687550Z             >>> from torch.cuda import cudart, check_error
2025-12-04T08:55:59.6687899Z             >>> import os
2025-12-04T08:55:59.6688157Z             >>>
2025-12-04T08:55:59.6688401Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T08:55:59.6688723Z             >>>
2025-12-04T08:55:59.6689001Z             >>> def perform_cuda_operations_with_streams():
2025-12-04T08:55:59.6689365Z             >>>     stream = torch.cuda.Stream()
2025-12-04T08:55:59.6689726Z             >>>     with torch.cuda.stream(stream):
2025-12-04T08:55:59.6690099Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T08:55:59.6690482Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T08:55:59.6690825Z             >>>         z = torch.mul(x, y)
2025-12-04T08:55:59.6691138Z             >>>     return z
2025-12-04T08:55:59.6691395Z             >>>
2025-12-04T08:55:59.6691628Z             >>> torch.cuda.synchronize()
2025-12-04T08:55:59.6691984Z             >>> print("====== Start nsys profiling ======")
2025-12-04T08:55:59.6692373Z             >>> check_error(cudart().cudaProfilerStart())
2025-12-04T08:55:59.6692755Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T08:55:59.6693164Z             >>>     result = perform_cuda_operations_with_streams()
2025-12-04T08:55:59.6693566Z             >>>     print("CUDA operations completed.")
2025-12-04T08:55:59.6693973Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T08:55:59.6694371Z             >>> print("====== End nsys profiling ======")
2025-12-04T08:55:59.6694697Z     
2025-12-04T08:55:59.6695010Z         To run this example and save the profiling information, execute:
2025-12-04T08:55:59.6695680Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T08:55:59.6696297Z     
2025-12-04T08:55:59.6696658Z         This command profiles the CUDA operations in the provided script and saves
2025-12-04T08:55:59.6697211Z         the profiling information to a file named `trace_name.prof`.
2025-12-04T08:55:59.6697760Z         The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T08:55:59.6698272Z         after the `cudaProfilerStart` call in the script.
2025-12-04T08:55:59.6698760Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T08:55:59.6699231Z         CSV file and print a summary, respectively.
2025-12-04T08:55:59.6699730Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T08:55:59.6700259Z         overwrite of the output file if it already exists.
2025-12-04T08:55:59.6700716Z         
2025-12-04T08:55:59.6701498Z     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))
2025-12-04T08:55:59.6702352Z     
2025-12-04T08:55:59.6702818Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T08:55:59.6703364Z     ^
2025-12-04T08:55:59.6703685Z       warnings.warn(msg)
2025-12-04T08:55:59.6703940Z     
2025-12-04T08:55:59.6704251Z --- Parse Warning: 7 / 17 ---
2025-12-04T08:55:59.6705333Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=39.
2025-12-04T08:55:59.6706738Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6707192Z     
2025-12-04T08:55:59.6707523Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T08:55:59.6708252Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T08:55:59.6708954Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T08:55:59.6709460Z     vectorizing those operations.
2025-12-04T08:55:59.6709753Z     
2025-12-04T08:55:59.6710153Z     vmap is useful for handling batch dimensions: one can write a function
2025-12-04T08:55:59.6710685Z     ``func`` that runs on examples and then lift it to a function that can
2025-12-04T08:55:59.6711226Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T08:55:59.6711739Z     compute batched gradients when composed with autograd.
2025-12-04T08:55:59.6712109Z     
2025-12-04T08:55:59.6712306Z     .. note::
2025-12-04T08:55:59.6712633Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T08:55:59.6713071Z         convenience. Use whichever one you'd like.
2025-12-04T08:55:59.6713389Z     
2025-12-04T08:55:59.6713587Z     Args:
2025-12-04T08:55:59.6713922Z         func (function): A Python function that takes one or more arguments.
2025-12-04T08:55:59.6714358Z             Must return one or more Tensors.
2025-12-04T08:55:59.6714785Z         in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T08:55:59.6715282Z             inputs should be mapped over. ``in_dims`` should have a
2025-12-04T08:55:59.6715768Z             structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T08:55:59.6716291Z             input is None, then that indicates there is no map dimension.
2025-12-04T08:55:59.6716718Z             Default: 0.
2025-12-04T08:55:59.6717073Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T08:55:59.6717572Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T08:55:59.6718044Z             it should have one element per output. Default: 0.
2025-12-04T08:55:59.6718508Z         randomness (str): Specifies whether the randomness in this
2025-12-04T08:55:59.6719114Z             vmap should be the same or different across batches. If 'different',
2025-12-04T08:55:59.6719638Z             the randomness for each batch will be different. If 'same', the
2025-12-04T08:55:59.6720176Z             randomness will be the same across batches. If 'error', any calls to
2025-12-04T08:55:59.6720724Z             random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T08:55:59.6721252Z             only applies to random PyTorch operations and does not apply to
2025-12-04T08:55:59.6721716Z             Python's random module or numpy randomness.
2025-12-04T08:55:59.6722195Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T08:55:59.6722770Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T08:55:59.6723430Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T08:55:59.6724087Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T08:55:59.6724562Z     
2025-12-04T08:55:59.6724751Z     Returns:
2025-12-04T08:55:59.6725072Z         Returns a new "batched" function. It takes the same inputs as
2025-12-04T08:55:59.6725570Z         ``func``, except each input has an extra dimension at the index
2025-12-04T08:55:59.6726068Z         specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T08:55:59.6726549Z         ``func``, except each output has an extra dimension at the index
2025-12-04T08:55:59.6726961Z         specified by ``out_dims``.
2025-12-04T08:55:59.6727245Z     
2025-12-04T08:55:59.6727432Z     .. warning:
2025-12-04T08:55:59.6727769Z         :func:`vmap` works best with functional-style code. Please do not
2025-12-04T08:55:59.6728322Z         perform any side-effects in ``func``, with the exception of
2025-12-04T08:55:59.6728852Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T08:55:59.6729443Z         Python data structures and assigning values to variables not captured
2025-12-04T08:55:59.6729879Z         in ``func``.
2025-12-04T08:55:59.6730118Z     
2025-12-04T08:55:59.6730456Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T08:55:59.6731043Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T08:55:59.6731610Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T08:55:59.6732028Z     
2025-12-04T08:55:59.6732257Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T08:55:59.6732682Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T08:55:59.6733127Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T08:55:59.6733480Z         >>> batched_dot(x, y)
2025-12-04T08:55:59.6733750Z     
2025-12-04T08:55:59.6734085Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T08:55:59.6734549Z     model authoring experience.
2025-12-04T08:55:59.6734829Z     
2025-12-04T08:55:59.6735055Z         >>> batch_size, feature_size = 3, 5
2025-12-04T08:55:59.6735448Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T08:55:59.6735826Z         >>>
2025-12-04T08:55:59.6736055Z         >>> def model(feature_vec):
2025-12-04T08:55:59.6736383Z         >>> # Very simple linear model with activation
2025-12-04T08:55:59.6736756Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T08:55:59.6737083Z         >>>
2025-12-04T08:55:59.6737343Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T08:55:59.6737731Z         >>> result = torch.vmap(model)(examples)
2025-12-04T08:55:59.6738046Z     
2025-12-04T08:55:59.6738398Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T08:55:59.6739012Z     or impossible to batch. One example is higher-order gradient computation.
2025-12-04T08:55:59.6739602Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T08:55:59.6740222Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T08:55:59.6740809Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T08:55:59.6741420Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T08:55:59.6741881Z     call to ``autograd.grad``.
2025-12-04T08:55:59.6742142Z     
2025-12-04T08:55:59.6742346Z         >>> # Setup
2025-12-04T08:55:59.6742577Z         >>> N = 5
2025-12-04T08:55:59.6742803Z         >>> f = lambda x: x**2
2025-12-04T08:55:59.6743107Z         >>> x = torch.randn(N, requires_grad=True)
2025-12-04T08:55:59.6743435Z         >>> y = f(x)
2025-12-04T08:55:59.6743681Z         >>> I_N = torch.eye(N)
2025-12-04T08:55:59.6743936Z         >>>
2025-12-04T08:55:59.6744161Z         >>> # Sequential approach
2025-12-04T08:55:59.6744634Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T08:55:59.6745078Z         >>>                  for v in I_N.unbind()]
2025-12-04T08:55:59.6745433Z         >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T08:55:59.6745759Z         >>>
2025-12-04T08:55:59.6745995Z         >>> # vectorized gradient computation
2025-12-04T08:55:59.6746328Z         >>> def get_vjp(v):
2025-12-04T08:55:59.6746631Z         >>>     return torch.autograd.grad(y, x, v)
2025-12-04T08:55:59.6746985Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T08:55:59.6747307Z     
2025-12-04T08:55:59.6747684Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T08:55:59.6748151Z     
2025-12-04T08:55:59.6748354Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T08:55:59.6748705Z         >>> batched_dot = torch.vmap(
2025-12-04T08:55:59.6749018Z         ...     torch.vmap(torch.dot)
2025-12-04T08:55:59.6749334Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T08:55:59.6749704Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T08:55:59.6750176Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T08:55:59.6750492Z     
2025-12-04T08:55:59.6750848Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T08:55:59.6751367Z     the dimension that each inputs are batched along as
2025-12-04T08:55:59.6751718Z     
2025-12-04T08:55:59.6751925Z         >>> torch.dot  # [N], [N] -> []
2025-12-04T08:55:59.6752359Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T08:55:59.6752829Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T08:55:59.6753261Z         >>> batched_dot(
2025-12-04T08:55:59.6753516Z         ...     x, y
2025-12-04T08:55:59.6753864Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T08:55:59.6754245Z     
2025-12-04T08:55:59.6754623Z     If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T08:55:59.6755212Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T08:55:59.6755599Z     
2025-12-04T08:55:59.6755819Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T08:55:59.6756263Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T08:55:59.6756751Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T08:55:59.6757071Z         >>> batched_dot(
2025-12-04T08:55:59.6757318Z         ...     x, y
2025-12-04T08:55:59.6757658Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T08:55:59.6758041Z     
2025-12-04T08:55:59.6758391Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T08:55:59.6758868Z     matching the shape of the input:
2025-12-04T08:55:59.6759153Z     
2025-12-04T08:55:59.6759418Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T08:55:59.6759800Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T08:55:59.6760170Z         >>> input = {"x": x, "y": y}
2025-12-04T08:55:59.6760552Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T08:55:59.6760952Z         >>> batched_dot(input)
2025-12-04T08:55:59.6761223Z     
2025-12-04T08:55:59.6761599Z     By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T08:55:59.6762125Z     along any dimension by using ``out_dims``
2025-12-04T08:55:59.6762445Z     
2025-12-04T08:55:59.6762642Z         >>> f = lambda x: x**2
2025-12-04T08:55:59.6762928Z         >>> x = torch.randn(2, 5)
2025-12-04T08:55:59.6763334Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T08:55:59.6763671Z         >>> batched_pow(x)  # [5, 2]
2025-12-04T08:55:59.6763966Z     
2025-12-04T08:55:59.6764376Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T08:55:59.6764955Z     accept kwargs
2025-12-04T08:55:59.6765174Z     
2025-12-04T08:55:59.6765394Z         >>> x = torch.randn([2, 5])
2025-12-04T08:55:59.6765700Z         >>> def fn(x, scale=4.):
2025-12-04T08:55:59.6765980Z         >>>   return x * scale
2025-12-04T08:55:59.6779009Z         >>>
2025-12-04T08:55:59.6779351Z         >>> batched_pow = torch.vmap(fn)
2025-12-04T08:55:59.6779735Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T08:55:59.6780400Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T08:55:59.6780851Z     
2025-12-04T08:55:59.6781067Z     .. note::
2025-12-04T08:55:59.6781415Z         vmap does not provide general autobatching or handle variable-length
2025-12-04T08:55:59.6781866Z         sequences out of the box.
2025-12-04T08:55:59.6782151Z     
2025-12-04T08:55:59.6782912Z     Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T08:55:59.6783643Z     
2025-12-04T08:55:59.6783846Z     _._ = None
2025-12-04T08:55:59.6784072Z     ^
2025-12-04T08:55:59.6784276Z       warnings.warn(msg)
2025-12-04T08:55:59.6784529Z     
2025-12-04T08:55:59.6784903Z --- Parse Warning: 8 / 17 ---
2025-12-04T08:55:59.6785983Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=306.
2025-12-04T08:55:59.6787187Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6787801Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T08:55:59.6788366Z         input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T08:55:59.6788793Z         compute higher-order gradients.
2025-12-04T08:55:59.6789101Z     
2025-12-04T08:55:59.6789301Z         Args:
2025-12-04T08:55:59.6789635Z             func (Callable): A Python function that takes one or more arguments.
2025-12-04T08:55:59.6790308Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T08:55:59.6790967Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T08:55:59.6791447Z                 ``(output, aux)``.
2025-12-04T08:55:59.6791925Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T08:55:59.6792535Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T08:55:59.6793084Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T08:55:59.6793581Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T08:55:59.6793949Z     
2025-12-04T08:55:59.6794151Z         Returns:
2025-12-04T08:55:59.6794567Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T08:55:59.6795213Z             the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T08:55:59.6795920Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T08:55:59.6796569Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T08:55:59.6797079Z             respect to each ``argnums`` value is returned.
2025-12-04T08:55:59.6797422Z     
2025-12-04T08:55:59.6797643Z         Example of using ``grad``:
2025-12-04T08:55:59.6797916Z     
2025-12-04T08:55:59.6798129Z             >>> # xdoctest: +SKIP
2025-12-04T08:55:59.6798440Z             >>> from torch.func import grad
2025-12-04T08:55:59.6798756Z             >>> x = torch.randn([])
2025-12-04T08:55:59.6799091Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T08:55:59.6799465Z             >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T08:55:59.6799870Z             >>>
2025-12-04T08:55:59.6800105Z             >>> # Second-order gradients
2025-12-04T08:55:59.6800478Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T08:55:59.6800886Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T08:55:59.6801211Z     
2025-12-04T08:55:59.6801581Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T08:55:59.6802040Z     
2025-12-04T08:55:59.6802242Z             >>> # xdoctest: +SKIP
2025-12-04T08:55:59.6802560Z             >>> from torch.func import grad, vmap
2025-12-04T08:55:59.6802921Z             >>> batch_size, feature_size = 3, 5
2025-12-04T08:55:59.6803224Z             >>>
2025-12-04T08:55:59.6803477Z             >>> def model(weights, feature_vec):
2025-12-04T08:55:59.6803842Z             >>> # Very simple linear model with activation
2025-12-04T08:55:59.6804234Z             >>>     assert feature_vec.dim() == 1
2025-12-04T08:55:59.6804587Z             >>>     return feature_vec.dot(weights).relu()
2025-12-04T08:55:59.6804919Z             >>>
2025-12-04T08:55:59.6805199Z             >>> def compute_loss(weights, example, target):
2025-12-04T08:55:59.6805556Z             >>>     y = model(weights, example)
2025-12-04T08:55:59.6805916Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T08:55:59.6806264Z             >>>
2025-12-04T08:55:59.6806579Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T08:55:59.6807019Z             >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T08:55:59.6807407Z             >>> targets = torch.randn(batch_size)
2025-12-04T08:55:59.6807766Z             >>> inputs = (weights, examples, targets)
2025-12-04T08:55:59.6808234Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T08:55:59.6808673Z             ...     *inputs
2025-12-04T08:55:59.6808927Z             ... )
2025-12-04T08:55:59.6809141Z     
2025-12-04T08:55:59.6809422Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T08:55:59.6809800Z     
2025-12-04T08:55:59.6810006Z             >>> # xdoctest: +SKIP
2025-12-04T08:55:59.6810304Z             >>> from torch.func import grad
2025-12-04T08:55:59.6810639Z             >>> def my_loss_func(y, y_pred):
2025-12-04T08:55:59.6810993Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T08:55:59.6811353Z             >>>    loss = loss_per_sample.mean()
2025-12-04T08:55:59.6811716Z             >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T08:55:59.6812045Z             >>>
2025-12-04T08:55:59.6812333Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T08:55:59.6812697Z             >>> y_true = torch.rand(4)
2025-12-04T08:55:59.6813043Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T08:55:59.6813404Z             >>> out = fn(y_true, y_preds)
2025-12-04T08:55:59.6813857Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T08:55:59.6814307Z     
2025-12-04T08:55:59.6814546Z         .. note::
2025-12-04T08:55:59.6814846Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T08:55:59.6815213Z     
2025-12-04T08:55:59.6815477Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T08:55:59.6815823Z     
2025-12-04T08:55:59.6816025Z                 >>> # xdoctest: +SKIP
2025-12-04T08:55:59.6816322Z                 >>> def f(x):
2025-12-04T08:55:59.6816608Z                 >>>     with torch.no_grad():
2025-12-04T08:55:59.6816911Z                 >>>         c = x ** 2
2025-12-04T08:55:59.6817210Z                 >>>     return x - c
2025-12-04T08:55:59.6817486Z     
2025-12-04T08:55:59.6817785Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T08:55:59.6818184Z     
2025-12-04T08:55:59.6818479Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T08:55:59.6818907Z     
2025-12-04T08:55:59.6819122Z                 >>> # xdoctest: +SKIP
2025-12-04T08:55:59.6819431Z                 >>> with torch.no_grad():
2025-12-04T08:55:59.6819727Z                 >>>     grad(f)(x)
2025-12-04T08:55:59.6819996Z     
2025-12-04T08:55:59.6820324Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T08:55:59.6820890Z             outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T08:55:59.6821448Z             should not depend on the result of a context manager outside of ``f``.
2025-12-04T08:55:59.6821873Z     
2025-12-04T08:55:59.6822072Z         
2025-12-04T08:55:59.6822709Z     Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T08:55:59.6823472Z     
2025-12-04T08:55:59.6823671Z     _._ = None
2025-12-04T08:55:59.6823877Z     ^
2025-12-04T08:55:59.6824090Z       warnings.warn(msg)
2025-12-04T08:55:59.6824349Z     
2025-12-04T08:55:59.6824660Z --- Parse Warning: 9 / 17 ---
2025-12-04T08:55:59.6825874Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py line=402.
2025-12-04T08:55:59.6827222Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6827777Z     Register a FakeTensor implementation for this custom op.
2025-12-04T08:55:59.6828141Z     
2025-12-04T08:55:59.6828504Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T08:55:59.6828960Z     
2025-12-04T08:55:59.6829283Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T08:55:59.6829864Z             specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T08:55:59.6830463Z             Given some input Tensors with certain properties
2025-12-04T08:55:59.6830999Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T08:55:59.6831478Z             the output Tensors are.
2025-12-04T08:55:59.6831768Z     
2025-12-04T08:55:59.6832089Z             Please see :func:`torch.library.register_fake` for more details.
2025-12-04T08:55:59.6832487Z     
2025-12-04T08:55:59.6832688Z             Args:
2025-12-04T08:55:59.6833009Z                 fn (Callable): The function to register as the FakeTensor
2025-12-04T08:55:59.6833394Z                     implementation.
2025-12-04T08:55:59.6833679Z     
2025-12-04T08:55:59.6833883Z             Examples:
2025-12-04T08:55:59.6834135Z                 >>> import torch
2025-12-04T08:55:59.6834415Z                 >>> import numpy as np
2025-12-04T08:55:59.6834739Z                 >>> from torch import Tensor
2025-12-04T08:55:59.6835047Z                 >>>
2025-12-04T08:55:59.6835370Z                 >>> # Example 1: an operator without data-dependent output shape
2025-12-04T08:55:59.6835878Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T08:55:59.6836440Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T08:55:59.6836869Z                 >>>     return (x @ weight.t()) + bias
2025-12-04T08:55:59.6837189Z                 >>>
2025-12-04T08:55:59.6837437Z                 >>> @linear.register_fake
2025-12-04T08:55:59.6837759Z                 >>> def _(x, weight, bias):
2025-12-04T08:55:59.6838067Z                 >>>     assert x.dim() == 2
2025-12-04T08:55:59.6838396Z                 >>>     assert weight.dim() == 2
2025-12-04T08:55:59.6838736Z                 >>>     assert bias.dim() == 1
2025-12-04T08:55:59.6839074Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T08:55:59.6839455Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T08:55:59.6839912Z                 >>>     assert x.device == weight.device
2025-12-04T08:55:59.6840291Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T08:55:59.6840650Z                 >>>
2025-12-04T08:55:59.6840898Z                 >>> x = torch.randn(2, 2)
2025-12-04T08:55:59.6841233Z                 >>> weight = torch.randn(2, 2)
2025-12-04T08:55:59.6841553Z                 >>> bias = torch.randn(2)
2025-12-04T08:55:59.6841910Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:55:59.6842361Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T08:55:59.6842797Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:55:59.6843302Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T08:55:59.6843759Z                 >>>
2025-12-04T08:55:59.6844094Z                 >>> # Example 2: an operator with data-dependent output shape
2025-12-04T08:55:59.6844600Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T08:55:59.6845042Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T08:55:59.6845391Z                 >>>     x_np = x.cpu().numpy()
2025-12-04T08:55:59.6845735Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T08:55:59.6846128Z                 >>>     return torch.tensor(res, device=x.device)
2025-12-04T08:55:59.6846471Z                 >>>
2025-12-04T08:55:59.6846709Z                 >>> @nonzero.register_fake
2025-12-04T08:55:59.6847025Z                 >>> def _(x):
2025-12-04T08:55:59.6847355Z                 >>> # Number of nonzero-elements is data-dependent.
2025-12-04T08:55:59.6847797Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T08:55:59.6848229Z                 >>> # we use the ctx object to construct a new symint that
2025-12-04T08:55:59.6848650Z                 >>> # represents the data-dependent size.
2025-12-04T08:55:59.6849023Z                 >>>     ctx = torch.library.get_ctx()
2025-12-04T08:55:59.6849369Z                 >>>     nnz = ctx.new_dynamic_size()
2025-12-04T08:55:59.6849714Z                 >>>     shape = [nnz, x.dim()]
2025-12-04T08:55:59.6850083Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T08:55:59.6850441Z                 >>>     return result
2025-12-04T08:55:59.6850760Z                 >>>
2025-12-04T08:55:59.6851196Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T08:55:59.6851877Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:55:59.6852607Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T08:55:59.6853341Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T08:55:59.6854055Z                 >>> assert torch.allclose(out, x.nonzero())
2025-12-04T08:55:59.6854654Z     
2025-12-04T08:55:59.6855008Z             
2025-12-04T08:55:59.6856276Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T08:55:59.6857720Z     
2025-12-04T08:55:59.6858081Z     _._ = None
2025-12-04T08:55:59.6858466Z     ^
2025-12-04T08:55:59.6858833Z       warnings.warn(msg)
2025-12-04T08:55:59.6859288Z     
2025-12-04T08:55:59.6859850Z --- Parse Warning: 10 / 17 ---
2025-12-04T08:55:59.6862203Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_profile.py line=94.
2025-12-04T08:55:59.6864835Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T08:55:59.6865722Z     
2025-12-04T08:55:59.6866348Z     Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T08:55:59.6867487Z     kernel registration will override any existing fake kernel registrations.
2025-12-04T08:55:59.6868402Z     
2025-12-04T08:55:59.6868999Z     The input is a dictionary mapping operator names to a set of operator
2025-12-04T08:55:59.6870145Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T08:55:59.6871184Z     are a record of the input and output tensor metadata. Based on this
2025-12-04T08:55:59.6872243Z     information we will match a given input to the recorded profile, and return
2025-12-04T08:55:59.6873359Z     an output with the same metadata as in the recorded profile. If a profile
2025-12-04T08:55:59.6874263Z     doesn't exist then an exception will be thrown.
2025-12-04T08:55:59.6874889Z     
2025-12-04T08:55:59.6875528Z     The fake kernel generation is considered unsafe because it relies on the
2025-12-04T08:55:59.6876627Z     rigid, pre-defined operator profiles that do not account for potential
2025-12-04T08:55:59.6877792Z     variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T08:55:59.6878990Z     fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T08:55:59.6880296Z     possible that data-dependent operations may produce outputs of different
2025-12-04T08:55:59.6881408Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T08:55:59.6882475Z     are inflexible and unable to accommodate these nuances, making them
2025-12-04T08:55:59.6883305Z     potentially unsafe.
2025-12-04T08:55:59.6883757Z     
2025-12-04T08:55:59.6884102Z     Args:
2025-12-04T08:55:59.6884724Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T08:55:59.6885741Z             name to a set of operator profiles from which we will generate fake
2025-12-04T08:55:59.6886498Z             kernels.
2025-12-04T08:55:59.6886913Z     
2025-12-04T08:55:59.6887272Z     Examples:
2025-12-04T08:55:59.6887645Z     
2025-12-04T08:55:59.6888145Z         >>> # Example: Registering an op-profile from draft-export
2025-12-04T08:55:59.6888847Z         >>> import torch
2025-12-04T08:55:59.6889427Z         >>> from torch.export._draft_export import draft_export
2025-12-04T08:55:59.6890105Z         >>>
2025-12-04T08:55:59.6890655Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T08:55:59.6891430Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T08:55:59.6892031Z         >>>     return x + y
2025-12-04T08:55:59.6892508Z         >>>
2025-12-04T08:55:59.6892927Z         >>> class M(torch.nn.Module):
2025-12-04T08:55:59.6893488Z         >>>     def forward(self, a, b):
2025-12-04T08:55:59.6894146Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T08:55:59.6894803Z         >>>         return res
2025-12-04T08:55:59.6895266Z         >>>
2025-12-04T08:55:59.6895790Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T08:55:59.6896490Z         >>>
2025-12-04T08:55:59.6897255Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T08:55:59.6898282Z         >>>     decomp = ep.run_decompositions()
2025-12-04T08:55:59.6898956Z     
2025-12-04T08:55:59.6899309Z     
2025-12-04T08:55:59.6900431Z     Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T08:55:59.6901750Z     
2025-12-04T08:55:59.6902123Z       warnings.warn(msg)
2025-12-04T08:55:59.6902569Z     
2025-12-04T08:55:59.6903124Z --- Parse Warning: 11 / 17 ---
2025-12-04T08:55:59.6905922Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-12-04T08:55:59.6908974Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6909818Z     
2025-12-04T08:55:59.6910739Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T08:55:59.6911909Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T08:55:59.6913032Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T08:55:59.6913914Z     input by the user.
2025-12-04T08:55:59.6914621Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T08:55:59.6915568Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T08:55:59.6916201Z     
2025-12-04T08:55:59.6916556Z     Note::
2025-12-04T08:55:59.6917377Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T08:55:59.6918362Z     
2025-12-04T08:55:59.6918711Z     Args:
2025-12-04T08:55:59.6919098Z         model (nn.Module):
2025-12-04T08:55:59.6919862Z             The model whose layers will be sparsified. The layers that needs to be
2025-12-04T08:55:59.6920987Z             sparsified should be added separately using the register_layer() function
2025-12-04T08:55:59.6921892Z         aggregate_fn (Optional, Callable):
2025-12-04T08:55:59.6922784Z             default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T08:55:59.6923816Z             specifies how inputs should be aggregated over time.
2025-12-04T08:55:59.6925091Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T08:55:59.6926029Z             Example
2025-12-04T08:55:59.6926591Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T08:55:59.6927357Z                 reduce_fn (Optional, Callable):
2025-12-04T08:55:59.6928251Z                     default reduce_fn that is used if not specified while registering the layer.
2025-12-04T08:55:59.6929439Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T08:55:59.6930364Z                     calling agg_fn() on all inputs.
2025-12-04T08:55:59.6930959Z                     Example
2025-12-04T08:55:59.6931634Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T08:55:59.6932428Z                 mask_fn (Optional, Callable):
2025-12-04T08:55:59.6933429Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T08:55:59.6934736Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T08:55:59.6935641Z                     register_layer().
2025-12-04T08:55:59.6936675Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T08:55:59.6937751Z                     arguments.
2025-12-04T08:55:59.6938280Z                 features (Optional, list):
2025-12-04T08:55:59.6938910Z                     default selected features to sparsify.
2025-12-04T08:55:59.6939871Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T08:55:59.6940820Z                     For example,
2025-12-04T08:55:59.6941624Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T08:55:59.6942547Z                 feature_dim (Optional, int):
2025-12-04T08:55:59.6943493Z                     default dimension of input features. Again, features along this dim will be chosen
2025-12-04T08:55:59.6944451Z                     for sparsification.
2025-12-04T08:55:59.6945018Z                 sparse_config (Dict):
2025-12-04T08:55:59.6945810Z                     Default configuration for the mask_fn. This config will be passed
2025-12-04T08:55:59.6946651Z                     with the mask_fn()
2025-12-04T08:55:59.6947169Z     
2025-12-04T08:55:59.6947524Z     Example:
2025-12-04T08:55:59.6947929Z         >>> # xdoctest: +SKIP
2025-12-04T08:55:59.6948425Z         >>> model = SomeModel()
2025-12-04T08:55:59.6949334Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T08:55:59.6950298Z         >>> # Initialize aggregate_fn
2025-12-04T08:55:59.6950858Z         >>> def agg_fn(x, y):
2025-12-04T08:55:59.6951338Z         >>>     return x + y
2025-12-04T08:55:59.6951799Z         >>>
2025-12-04T08:55:59.6952189Z         >>> # Initialize reduce_fn
2025-12-04T08:55:59.6952711Z         >>> def reduce_fn(x):
2025-12-04T08:55:59.6953234Z         >>>     return torch.mean(x, dim=0)
2025-12-04T08:55:59.6953783Z         >>>
2025-12-04T08:55:59.6954161Z         >>> # Initialize mask_fn
2025-12-04T08:55:59.6954674Z         >>> def mask_fn(data):
2025-12-04T08:55:59.6955255Z         >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T08:55:59.6955869Z         >>>
2025-12-04T08:55:59.6956229Z         >>>
2025-12-04T08:55:59.6956684Z         >>> act_sparsifier.register_layer(
2025-12-04T08:55:59.6957268Z         ...     model.some_layer,
2025-12-04T08:55:59.6957807Z         ...     aggregate_fn=agg_fn,
2025-12-04T08:55:59.6958351Z         ...     reduce_fn=reduce_fn,
2025-12-04T08:55:59.6958884Z         ...     mask_fn=mask_fn,
2025-12-04T08:55:59.6959355Z         ... )
2025-12-04T08:55:59.6959722Z         >>>
2025-12-04T08:55:59.6960106Z         >>> # start training process
2025-12-04T08:55:59.6960624Z         >>> for _ in [...]:
2025-12-04T08:55:59.6961083Z         >>> # epoch starts
2025-12-04T08:55:59.6961680Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T08:55:59.6962362Z         >>> # epoch ends
2025-12-04T08:55:59.6962834Z         >>>     act_sparsifier.step()
2025-12-04T08:55:59.6963388Z         >>> # end training process
2025-12-04T08:55:59.6963921Z         >>> sparsifier.squash_mask()
2025-12-04T08:55:59.6964443Z     
2025-12-04T08:55:59.6965604Z     Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T08:55:59.6966940Z     
2025-12-04T08:55:59.6967282Z     _._ = None
2025-12-04T08:55:59.6967656Z     ^
2025-12-04T08:55:59.6968020Z       warnings.warn(msg)
2025-12-04T08:55:59.6968454Z     
2025-12-04T08:55:59.6968993Z --- Parse Warning: 12 / 17 ---
2025-12-04T08:55:59.6971301Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py line=547.
2025-12-04T08:55:59.6973859Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.6974707Z     
2025-12-04T08:55:59.6975410Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T08:55:59.6976671Z     The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T08:55:59.6977576Z     ``mesh_dim_names``
2025-12-04T08:55:59.6977993Z     
2025-12-04T08:55:59.6978341Z     Args:
2025-12-04T08:55:59.6978988Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T08:55:59.6980075Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T08:55:59.6980921Z     Returns:
2025-12-04T08:55:59.6981331Z         A :class:`DeviceMesh` object
2025-12-04T08:55:59.6981857Z     
2025-12-04T08:55:59.6982576Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T08:55:59.6983526Z     In the first example:
2025-12-04T08:55:59.6984291Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T08:55:59.6985448Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T08:55:59.6986551Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T08:55:59.6987629Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T08:55:59.6988820Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T08:55:59.6989878Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T08:55:59.6990753Z     
2025-12-04T08:55:59.6991124Z     In the second example:
2025-12-04T08:55:59.6991931Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T08:55:59.6993151Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T08:55:59.6994380Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T08:55:59.6995602Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T08:55:59.6996533Z     
2025-12-04T08:55:59.6996882Z     Example::
2025-12-04T08:55:59.6997259Z     
2025-12-04T08:55:59.6997654Z         >>> # xdoctest: +SKIP("no rank")
2025-12-04T08:55:59.6998349Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T08:55:59.6999036Z         >>>
2025-12-04T08:55:59.6999613Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T08:55:59.7000455Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T08:55:59.7001392Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T08:55:59.7002274Z         >>> tp_mesh = mesh_2d["tp"]
2025-12-04T08:55:59.7002803Z         >>> dp_mesh = mesh_2d["dp"]
2025-12-04T08:55:59.7003314Z         >>>
2025-12-04T08:55:59.7003704Z         >>> # Initialize a 3D mesh.
2025-12-04T08:55:59.7004582Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T08:55:59.7005898Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T08:55:59.7006911Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T08:55:59.7007515Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T08:55:59.7008057Z     
2025-12-04T08:55:59.7009565Z     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))
2025-12-04T08:55:59.7011255Z     
2025-12-04T08:55:59.7011906Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T08:55:59.7012800Z                                                                                      ^
2025-12-04T08:55:59.7013429Z       warnings.warn(msg)
2025-12-04T08:55:59.7013872Z     
2025-12-04T08:55:59.7014411Z --- Parse Warning: 13 / 17 ---
2025-12-04T08:55:59.7016741Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-12-04T08:55:59.7019331Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.7020237Z     
2025-12-04T08:55:59.7020972Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T08:55:59.7021902Z     
2025-12-04T08:55:59.7022653Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T08:55:59.7023599Z     
2025-12-04T08:55:59.7024322Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T08:55:59.7025293Z     will be visible to the whole process.
2025-12-04T08:55:59.7025854Z     
2025-12-04T08:55:59.7026573Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T08:55:59.7027498Z     
2025-12-04T08:55:59.7027906Z     1) set_up_planner - called on all ranks.
2025-12-04T08:55:59.7028535Z         Signals the start of a checkpoint save.
2025-12-04T08:55:59.7029187Z     
2025-12-04T08:55:59.7029607Z     2) create_local_plan - called on all ranks.
2025-12-04T08:55:59.7030665Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T08:55:59.7031596Z     
2025-12-04T08:55:59.7032113Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T08:55:59.7033026Z         Takes the SavePlan from all ranks and make any global decision.
2025-12-04T08:55:59.7033762Z     
2025-12-04T08:55:59.7034155Z     4) finish_plan - called on all ranks.
2025-12-04T08:55:59.7034951Z         This gives each rank a chance to adjust to global planning decisions.
2025-12-04T08:55:59.7035727Z     
2025-12-04T08:55:59.7036190Z     5) resolve_data - called multiple times on each rank
2025-12-04T08:55:59.7037055Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T08:55:59.7037864Z     
2025-12-04T08:55:59.7038629Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T08:55:59.7039782Z     most changes can be expressed by changes in a single method.
2025-12-04T08:55:59.7040486Z     
2025-12-04T08:55:59.7040901Z     There are 3 usual patterns of extension:
2025-12-04T08:55:59.7041475Z     
2025-12-04T08:55:59.7042133Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T08:55:59.7043268Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T08:55:59.7044067Z     
2025-12-04T08:55:59.7044456Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:59.7045102Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T08:55:59.7045726Z     >>>     def set_up_planner(
2025-12-04T08:55:59.7046211Z     >>>         self,
2025-12-04T08:55:59.7046662Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T08:55:59.7047294Z     >>>         storage_meta: Optional[StorageMeta],
2025-12-04T08:55:59.7047920Z     >>>         is_coordinator: bool,
2025-12-04T08:55:59.7048449Z     >>>     ) -> None:
2025-12-04T08:55:59.7048905Z     >>> # prefix all keys with `foo_``
2025-12-04T08:55:59.7049834Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T08:55:59.7050742Z     
2025-12-04T08:55:59.7051569Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T08:55:59.7052584Z     
2025-12-04T08:55:59.7052982Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:59.7053608Z     >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T08:55:59.7054234Z     >>>     def create_local_plan(self):
2025-12-04T08:55:59.7054845Z     >>>         plan = super().create_local_plan()
2025-12-04T08:55:59.7055436Z     >>>         for p in plan:
2025-12-04T08:55:59.7055963Z     >>>             if p.tensor_data is not None:
2025-12-04T08:55:59.7056659Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T08:55:59.7057332Z     >>>         return plan
2025-12-04T08:55:59.7057782Z     >>>
2025-12-04T08:55:59.7058186Z     >>>     def resolve_data(self, write_item):
2025-12-04T08:55:59.7058861Z     >>>         item = super().resolve_data(write_item)
2025-12-04T08:55:59.7059820Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T08:55:59.7060730Z     
2025-12-04T08:55:59.7061593Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T08:55:59.7062633Z     
2025-12-04T08:55:59.7063044Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:59.7063669Z     >>> from itertools import zip_longest
2025-12-04T08:55:59.7064282Z     >>> from dataclasses import replace
2025-12-04T08:55:59.7064998Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T08:55:59.7066054Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T08:55:59.7067104Z     >>> # This sample doesn't handle ShardedTensors
2025-12-04T08:55:59.7067801Z     >>>     def create_global_plan(self, all_plans):
2025-12-04T08:55:59.7068532Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T08:55:59.7069218Z     >>>         items_per_rank = [
2025-12-04T08:55:59.7069811Z     >>>             [item for item in items if item is not None]
2025-12-04T08:55:59.7070635Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T08:55:59.7071303Z     >>>         ]
2025-12-04T08:55:59.7071705Z     >>>         all_plans = [
2025-12-04T08:55:59.7072243Z     >>>             replace(plan, items=items)
2025-12-04T08:55:59.7073013Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T08:55:59.7073741Z     >>>         ]
2025-12-04T08:55:59.7074238Z     >>>         return super().create_global_plan(all_plans)
2025-12-04T08:55:59.7074906Z     
2025-12-04T08:55:59.7075614Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T08:55:59.7076867Z     accomplished by having each rank contribute their data items in the local plan and
2025-12-04T08:55:59.7077840Z     the global planner aggregate them:
2025-12-04T08:55:59.7078392Z     
2025-12-04T08:55:59.7078789Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:59.7079487Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T08:55:59.7080358Z     >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T08:55:59.7081015Z     >>>         plan = super().create_local_plan()
2025-12-04T08:55:59.7081749Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T08:55:59.7082422Z     >>>
2025-12-04T08:55:59.7083195Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T08:55:59.7084348Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T08:55:59.7085247Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T08:55:59.7086081Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T08:55:59.7086821Z     >>>         return global_plan, metadata
2025-12-04T08:55:59.7087382Z     
2025-12-04T08:55:59.7088615Z     Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T08:55:59.7090027Z     
2025-12-04T08:55:59.7090370Z     _._ = None
2025-12-04T08:55:59.7090761Z     ^
2025-12-04T08:55:59.7091143Z       warnings.warn(msg)
2025-12-04T08:55:59.7091588Z     
2025-12-04T08:55:59.7092153Z --- Parse Warning: 14 / 17 ---
2025-12-04T08:55:59.7094499Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-12-04T08:55:59.7097092Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.7097953Z     
2025-12-04T08:55:59.7098702Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T08:55:59.7099730Z     
2025-12-04T08:55:59.7100474Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T08:55:59.7101430Z     
2025-12-04T08:55:59.7102162Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T08:55:59.7103133Z     will be visible to the whole process.
2025-12-04T08:55:59.7103706Z     
2025-12-04T08:55:59.7104434Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T08:55:59.7105340Z     
2025-12-04T08:55:59.7105753Z     1) set_up_planner - called on all ranks.
2025-12-04T08:55:59.7106414Z         Signals the start of loading a checkpoint.
2025-12-04T08:55:59.7107010Z     
2025-12-04T08:55:59.7107441Z     2) create_local_plan - called on all ranks.
2025-12-04T08:55:59.7108521Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T08:55:59.7109453Z     
2025-12-04T08:55:59.7109973Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T08:55:59.7110977Z         Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T08:55:59.7111729Z     
2025-12-04T08:55:59.7112176Z     4) load_bytes - called multiple times on each rank
2025-12-04T08:55:59.7112969Z         This is called once per non-tensor value in state_dict.
2025-12-04T08:55:59.7113114Z     
2025-12-04T08:55:59.7113544Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T08:55:59.7113876Z         They are called in pair for each Tensor value in state_dict.
2025-12-04T08:55:59.7114035Z     
2025-12-04T08:55:59.7114611Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T08:55:59.7115024Z     most changes can be expressed by changes in a single method.
2025-12-04T08:55:59.7115184Z     
2025-12-04T08:55:59.7115415Z     There are two usual patterns of extension:
2025-12-04T08:55:59.7115565Z     
2025-12-04T08:55:59.7116056Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T08:55:59.7116537Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T08:55:59.7116962Z     to keep a reference to the original state_dict as load happens in place so
2025-12-04T08:55:59.7117200Z     we need to be able to perform it in place
2025-12-04T08:55:59.7117345Z     
2025-12-04T08:55:59.7117560Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:59.7117797Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T08:55:59.7117972Z     >>>     def set_up_planner(
2025-12-04T08:55:59.7118139Z     >>>         self,
2025-12-04T08:55:59.7118342Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T08:55:59.7118519Z     >>>         metadata: Metadata,
2025-12-04T08:55:59.7118722Z     >>>         is_coordinator: bool,
2025-12-04T08:55:59.7118881Z     >>>     ) -> None:
2025-12-04T08:55:59.7119106Z     >>>         self.original_state_dict = state_dict
2025-12-04T08:55:59.7119425Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T08:55:59.7119572Z     >>>
2025-12-04T08:55:59.7119782Z     >>>         if self.flatten_sharded_tensors:
2025-12-04T08:55:59.7120069Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T08:55:59.7120218Z     >>>
2025-12-04T08:55:59.7120433Z     >>>         if self.flatten_state_dict:
2025-12-04T08:55:59.7120772Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T08:55:59.7120916Z     >>>
2025-12-04T08:55:59.7121123Z     >>>         self.state_dict = state_dict
2025-12-04T08:55:59.7121315Z     >>>         self.metadata = metadata
2025-12-04T08:55:59.7121535Z     >>>         self.is_coordinator = is_coordinator
2025-12-04T08:55:59.7121697Z     >>>
2025-12-04T08:55:59.7121915Z     >>>     def load_bytes(self, read_item, value):
2025-12-04T08:55:59.7122133Z     >>> # Remove the "foo_" prefix
2025-12-04T08:55:59.7122737Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T08:55:59.7122882Z     
2025-12-04T08:55:59.7123040Z     
2025-12-04T08:55:59.7123532Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T08:55:59.7123678Z     
2025-12-04T08:55:59.7123888Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T08:55:59.7124162Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T08:55:59.7124373Z     >>>     def resolve_tensor(self, read_item):
2025-12-04T08:55:59.7124611Z     >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T08:55:59.7124869Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T08:55:59.7125016Z     >>>
2025-12-04T08:55:59.7125319Z     >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T08:55:59.7125600Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T08:55:59.7125753Z     
2025-12-04T08:55:59.7126794Z     Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T08:55:59.7126939Z     
2025-12-04T08:55:59.7127102Z     _._ = None
2025-12-04T08:55:59.7127253Z     ^
2025-12-04T08:55:59.7127426Z       warnings.warn(msg)
2025-12-04T08:55:59.7127578Z     
2025-12-04T08:55:59.7127919Z --- Parse Warning: 15 / 17 ---
2025-12-04T08:55:59.7129792Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py line=295.
2025-12-04T08:55:59.7130301Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.7130447Z     
2025-12-04T08:55:59.7130843Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T08:55:59.7131207Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T08:55:59.7131579Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T08:55:59.7132000Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T08:55:59.7132366Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T08:55:59.7132520Z     follows:
2025-12-04T08:55:59.7132676Z     
2025-12-04T08:55:59.7132899Z         >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T08:55:59.7133354Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T08:55:59.7133577Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T08:55:59.7133952Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T08:55:59.7134377Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T08:55:59.7134563Z         >>>     state = fsdp.state_dict()
2025-12-04T08:55:59.7134946Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T08:55:59.7135401Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T08:55:59.7135825Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T08:55:59.7136017Z         >>> if dist.get_rank() == 0:
2025-12-04T08:55:59.7136343Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T08:55:59.7136584Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T08:55:59.7136805Z         >>>     model.load_state_dict(state_dict)
2025-12-04T08:55:59.7137236Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T08:55:59.7137688Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T08:55:59.7137868Z         >>> fsdp = FSDP(
2025-12-04T08:55:59.7138016Z         ...     model,
2025-12-04T08:55:59.7138292Z         ...     device_id=torch.cuda.current_device(),
2025-12-04T08:55:59.7138471Z         ...     auto_wrap_policy=...,
2025-12-04T08:55:59.7138652Z         ...     sync_module_states=True,
2025-12-04T08:55:59.7138807Z         ... )
2025-12-04T08:55:59.7139193Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T08:55:59.7139334Z     
2025-12-04T08:55:59.7139501Z     Attributes:
2025-12-04T08:55:59.7139856Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T08:55:59.7140219Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T08:55:59.7140510Z             ranks save the full state dict. (Default: ``False``)
2025-12-04T08:55:59.7140655Z     
2025-12-04T08:55:59.7141684Z     Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T08:55:59.7141831Z     
2025-12-04T08:55:59.7141981Z     _._ = None
2025-12-04T08:55:59.7142135Z     ^
2025-12-04T08:55:59.7142309Z       warnings.warn(msg)
2025-12-04T08:55:59.7142451Z     
2025-12-04T08:55:59.7142787Z --- Parse Warning: 16 / 17 ---
2025-12-04T08:55:59.7144697Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrize.py line=437.
2025-12-04T08:55:59.7145172Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.7145449Z     Register a parametrization to a tensor in a module.
2025-12-04T08:55:59.7145591Z     
2025-12-04T08:55:59.7146109Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T08:55:59.7146677Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T08:55:59.7147165Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T08:55:59.7147721Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T08:55:59.7147866Z     
2025-12-04T08:55:59.7148453Z         The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T08:55:59.7148909Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T08:55:59.7149055Z     
2025-12-04T08:55:59.7149535Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T08:55:59.7149758Z         ``module.parametrizations.weight``.
2025-12-04T08:55:59.7149901Z     
2025-12-04T08:55:59.7150219Z         The original tensor will be accessible under
2025-12-04T08:55:59.7150488Z         ``module.parametrizations.weight.original``.
2025-12-04T08:55:59.7150632Z     
2025-12-04T08:55:59.7151147Z         Parametrizations may be concatenated by registering several parametrizations
2025-12-04T08:55:59.7151333Z         on the same attribute.
2025-12-04T08:55:59.7151476Z     
2025-12-04T08:55:59.7151943Z         The training mode of a registered parametrization is updated on registration
2025-12-04T08:55:59.7152182Z         to match the training mode of the host module
2025-12-04T08:55:59.7152336Z     
2025-12-04T08:55:59.7152921Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T08:55:59.7153148Z         using the context manager :func:`cached`.
2025-12-04T08:55:59.7153303Z     
2025-12-04T08:55:59.7153753Z         A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T08:55:59.7153896Z     
2025-12-04T08:55:59.7154097Z         .. code-block:: python
2025-12-04T08:55:59.7154250Z     
2025-12-04T08:55:59.7154646Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T08:55:59.7154805Z     
2025-12-04T08:55:59.7155295Z         This method is called on the unparametrized tensor when the first parametrization
2025-12-04T08:55:59.7155724Z         is registered to compute the initial value of the original tensor.
2025-12-04T08:55:59.7156307Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T08:55:59.7156452Z     
2025-12-04T08:55:59.7157043Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T08:55:59.7157588Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T08:55:59.7157733Z     
2025-12-04T08:55:59.7158159Z         It is possible for the first parametrization to depend on several inputs.
2025-12-04T08:55:59.7158614Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T08:55:59.7159140Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T08:55:59.7159289Z     
2025-12-04T08:55:59.7159924Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T08:55:59.7160162Z         with names ``original0``, ``original1``,...
2025-12-04T08:55:59.7160307Z     
2025-12-04T08:55:59.7160463Z         .. note::
2025-12-04T08:55:59.7160620Z     
2025-12-04T08:55:59.7161114Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T08:55:59.7161388Z             once to perform a number of consistency checks.
2025-12-04T08:55:59.7161886Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T08:55:59.7162101Z             and nothing will be called otherwise.
2025-12-04T08:55:59.7162249Z     
2025-12-04T08:55:59.7162436Z         .. note::
2025-12-04T08:55:59.7162577Z     
2025-12-04T08:55:59.7162963Z             In most situations, ``right_inverse`` will be a function such that
2025-12-04T08:55:59.7163172Z             ``forward(right_inverse(X)) == X`` (see
2025-12-04T08:55:59.7163707Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T08:55:59.7164183Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T08:55:59.7164348Z             to relax this.
2025-12-04T08:55:59.7164503Z     
2025-12-04T08:55:59.7164653Z         .. warning::
2025-12-04T08:55:59.7164796Z     
2025-12-04T08:55:59.7165324Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T08:55:59.7165800Z             will register a number of new parameters. If such parametrization is registered
2025-12-04T08:55:59.7166303Z             after the optimizer is created, these new parameters will need to be added manually
2025-12-04T08:55:59.7166667Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T08:55:59.7166806Z     
2025-12-04T08:55:59.7166957Z         Args:
2025-12-04T08:55:59.7167353Z             module (nn.Module): module on which to register the parametrization
2025-12-04T08:55:59.7167745Z             tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T08:55:59.7167935Z                 the parametrization
2025-12-04T08:55:59.7168306Z             parametrization (nn.Module): the parametrization to register
2025-12-04T08:55:59.7168465Z         Keyword args:
2025-12-04T08:55:59.7168870Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T08:55:59.7169217Z                 may change the dtype and shape of the tensor. Default: `False`
2025-12-04T08:55:59.7169719Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T08:55:59.7169938Z                 Enable this flag at your own risk.
2025-12-04T08:55:59.7170081Z     
2025-12-04T08:55:59.7170240Z         Raises:
2025-12-04T08:55:59.7170787Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T08:55:59.7170961Z     
2025-12-04T08:55:59.7171126Z         Examples:
2025-12-04T08:55:59.7171382Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T08:55:59.7171546Z             >>> import torch
2025-12-04T08:55:59.7171740Z             >>> import torch.nn as nn
2025-12-04T08:55:59.7171973Z             >>> import torch.nn.utils.parametrize as P
2025-12-04T08:55:59.7172114Z             >>>
2025-12-04T08:55:59.7172319Z             >>> class Symmetric(nn.Module):
2025-12-04T08:55:59.7172503Z             >>>     def forward(self, X):
2025-12-04T08:55:59.7172830Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T08:55:59.7172979Z             >>>
2025-12-04T08:55:59.7173175Z             >>>     def right_inverse(self, A):
2025-12-04T08:55:59.7173363Z             >>>         return A.triu()
2025-12-04T08:55:59.7173509Z             >>>
2025-12-04T08:55:59.7173759Z             >>> m = nn.Linear(5, 5)
2025-12-04T08:55:59.7174070Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T08:55:59.7174512Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T08:55:59.7174657Z             True
2025-12-04T08:55:59.7174845Z             >>> A = torch.rand(5, 5)
2025-12-04T08:55:59.7175034Z             >>> A = A + A.T  # A is now symmetric
2025-12-04T08:55:59.7175403Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T08:55:59.7175618Z             >>> print(torch.allclose(m.weight, A))
2025-12-04T08:55:59.7175764Z             True
2025-12-04T08:55:59.7175918Z     
2025-12-04T08:55:59.7176107Z             >>> class RankOne(nn.Module):
2025-12-04T08:55:59.7176297Z             >>>     def forward(self, x, y):
2025-12-04T08:55:59.7176587Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T08:55:59.7176827Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T08:55:59.7176972Z             >>>
2025-12-04T08:55:59.7177178Z             >>>     def right_inverse(self, Z):
2025-12-04T08:55:59.7177393Z             >>> # Project Z onto the rank 1 matrices
2025-12-04T08:55:59.7177666Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T08:55:59.7177871Z             >>> # Return rescaled singular vectors
2025-12-04T08:55:59.7178080Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T08:55:59.7178349Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T08:55:59.7178496Z             >>>
2025-12-04T08:55:59.7178760Z             >>> linear_rank_one = P.register_parametrization(
2025-12-04T08:55:59.7178982Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T08:55:59.7179134Z             ... )
2025-12-04T08:55:59.7179506Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T08:55:59.7179667Z             1
2025-12-04T08:55:59.7179809Z     
2025-12-04T08:55:59.7179966Z         
2025-12-04T08:55:59.7181177Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T08:55:59.7181324Z     
2025-12-04T08:55:59.7181484Z     _._ = None
2025-12-04T08:55:59.7181630Z     ^
2025-12-04T08:55:59.7181800Z       warnings.warn(msg)
2025-12-04T08:55:59.7181953Z     
2025-12-04T08:55:59.7182303Z --- Parse Warning: 17 / 17 ---
2025-12-04T08:55:59.7184152Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py line=1586.
2025-12-04T08:55:59.7184622Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T08:55:59.7184956Z     Reduce learning rate when a metric has stopped improving.
2025-12-04T08:55:59.7185117Z     
2025-12-04T08:55:59.7185488Z         Models often benefit from reducing the learning rate by a factor
2025-12-04T08:55:59.7185897Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T08:55:59.7186264Z         quantity and if no improvement is seen for a 'patience' number
2025-12-04T08:55:59.7186481Z         of epochs, the learning rate is reduced.
2025-12-04T08:55:59.7186628Z     
2025-12-04T08:55:59.7186785Z         Args:
2025-12-04T08:55:59.7187021Z             optimizer (Optimizer): Wrapped optimizer.
2025-12-04T08:55:59.7187296Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T08:55:59.7187584Z                 be reduced when the quantity monitored has stopped
2025-12-04T08:55:59.7187877Z                 decreasing; in `max` mode it will be reduced when the
2025-12-04T08:55:59.7188248Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T08:55:59.7188649Z             factor (float): Factor by which the learning rate will be
2025-12-04T08:55:59.7188892Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T08:55:59.7189313Z             patience (int): The number of allowed epochs with no improvement after
2025-12-04T08:55:59.7189541Z                 which the learning rate will be reduced.
2025-12-04T08:55:59.7189961Z                 For example, consider the case of having no patience (`patience = 0`).
2025-12-04T08:55:59.7190731Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T08:55:59.7191105Z                 In the second epoch, if the performance is worse than the baseline,
2025-12-04T08:55:59.7191381Z                 we have what is considered an intolerable epoch.
2025-12-04T08:55:59.7191875Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T08:55:59.7192225Z                 the learning rate is reduced at the end of this epoch.
2025-12-04T08:55:59.7192856Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T08:55:59.7193455Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T08:55:59.7193677Z                 the learning rate is not adjusted.
2025-12-04T08:55:59.7193847Z                 Default: 10.
2025-12-04T08:55:59.7194186Z             threshold (float): Threshold for measuring the new optimum,
2025-12-04T08:55:59.7194482Z                 to only focus on significant changes. Default: 1e-4.
2025-12-04T08:55:59.7194804Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T08:55:59.7195091Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T08:55:59.7195352Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T08:55:59.7195631Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T08:55:59.7195963Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T08:55:59.7196276Z             cooldown (int): Number of epochs to wait before resuming
2025-12-04T08:55:59.7196597Z                 normal operation after lr has been reduced. Default: 0.
2025-12-04T08:55:59.7196893Z             min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T08:55:59.7197183Z                 lower bound on the learning rate of all param groups
2025-12-04T08:55:59.7197404Z                 or each group respectively. Default: 0.
2025-12-04T08:55:59.7197733Z             eps (float): Minimal decay applied to lr. If the difference
2025-12-04T08:55:59.7198059Z                 between new and old lr is smaller than eps, the update is
2025-12-04T08:55:59.7198253Z                 ignored. Default: 1e-8.
2025-12-04T08:55:59.7198399Z     
2025-12-04T08:55:59.7198554Z         Example:
2025-12-04T08:55:59.7198730Z             >>> # xdoctest: +SKIP
2025-12-04T08:55:59.7199150Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T08:55:59.7199425Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T08:55:59.7199653Z             >>> for epoch in range(10):
2025-12-04T08:55:59.7199815Z             >>>     train(...)
2025-12-04T08:55:59.7200007Z             >>>     val_loss = validate(...)
2025-12-04T08:55:59.7200282Z             >>> # Note that step should be called after validate()
2025-12-04T08:55:59.7200481Z             >>>     scheduler.step(val_loss)
2025-12-04T08:55:59.7200631Z     
2025-12-04T08:55:59.7200984Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T08:55:59.7201129Z         
2025-12-04T08:55:59.7201929Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T08:55:59.7202076Z     
2025-12-04T08:55:59.7202262Z         scheduler.step(val_loss)
2025-12-04T08:55:59.7202414Z        ^
2025-12-04T08:55:59.7202643Z       warnings.warn(msg)
2025-12-04T08:55:59.7202789Z     
2025-12-04T08:55:59.7203000Z 
2025-12-04T08:55:59.7203315Z === Found 10 run-time warnings ===
2025-12-04T08:55:59.7203633Z --- Runtime Warning: 1 / 10 ---
2025-12-04T08:55:59.7203997Z example = <DocTest(torch is_storage:0 ln 1157) at 0x7f1bdaef5950>
2025-12-04T08:55:59.7206874Z     <doctest:/opt/conda/envs/py_3.14/lib/python3.14/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()
2025-12-04T08:55:59.7207032Z     
2025-12-04T08:55:59.7207350Z --- Runtime Warning: 2 / 10 ---
2025-12-04T08:55:59.7207887Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1374) at 0x7f1bdaefe9f0>
2025-12-04T08:55:59.7210549Z     /opt/conda/envs/py_3.14/lib/python3.14/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.)
2025-12-04T08:55:59.7210752Z       return super().refine_names(names)
2025-12-04T08:55:59.7210907Z     
2025-12-04T08:55:59.7211224Z --- Runtime Warning: 3 / 10 ---
2025-12-04T08:55:59.7211817Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 239) at 0x7f1bdb380dd0>
2025-12-04T08:55:59.7213034Z     /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators,  other operators may also be overridden.
2025-12-04T08:55:59.7213629Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-12-04T08:55:59.7214013Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-12-04T08:55:59.7214563Z         registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2025-12-04T08:55:59.7214750Z       dispatch key: CPU
2025-12-04T08:55:59.7215570Z       previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-12-04T08:55:59.7217525Z            new kernel: registered at <doctest:/opt/conda/envs/py_3.14/lib/python3.14/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.)
2025-12-04T08:55:59.7217816Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-12-04T08:55:59.7217958Z     
2025-12-04T08:55:59.7218287Z --- Runtime Warning: 4 / 10 ---
2025-12-04T08:55:59.7218732Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7f1bdb0df890>
2025-12-04T08:55:59.7222401Z     /opt/conda/envs/py_3.14/lib/python3.14/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.)
2025-12-04T08:55:59.7222908Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-12-04T08:55:59.7223055Z     
2025-12-04T08:55:59.7223382Z --- Runtime Warning: 5 / 10 ---
2025-12-04T08:55:59.7223855Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7f1bdb3243b0>
2025-12-04T08:55:59.7227120Z     <doctest:/opt/conda/envs/py_3.14/lib/python3.14/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.)
2025-12-04T08:55:59.7227269Z     
2025-12-04T08:55:59.7227588Z --- Runtime Warning: 6 / 10 ---
2025-12-04T08:55:59.7228177Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1705) at 0x7f1bdb3839b0>
2025-12-04T08:55:59.7231236Z     /opt/conda/envs/py_3.14/lib/python3.14/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
2025-12-04T08:55:59.7231539Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-12-04T08:55:59.7231721Z     
2025-12-04T08:55:59.7232043Z --- Runtime Warning: 7 / 10 ---
2025-12-04T08:55:59.7232601Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 91) at 0x7f1bdb0c4710>
2025-12-04T08:55:59.7234743Z     /opt/conda/envs/py_3.14/lib/python3.14/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)
2025-12-04T08:55:59.7234961Z       self.encoder = TransformerEncoder(
2025-12-04T08:55:59.7235107Z     
2025-12-04T08:55:59.7235416Z --- Runtime Warning: 8 / 10 ---
2025-12-04T08:55:59.7236055Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 345) at 0x7f1bdb0c4b90>
2025-12-04T08:55:59.7238457Z     <doctest:/opt/conda/envs/py_3.14/lib/python3.14/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)
2025-12-04T08:55:59.7238614Z     
2025-12-04T08:55:59.7238933Z --- Runtime Warning: 9 / 10 ---
2025-12-04T08:55:59.7239450Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x7f1bdb0c7650>
2025-12-04T08:55:59.7241038Z     /opt/conda/envs/py_3.14/lib/python3.14/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`.
2025-12-04T08:55:59.7241249Z       WeightNorm.apply(module, name, dim)
2025-12-04T08:55:59.7241393Z     
2025-12-04T08:55:59.7241727Z --- Runtime Warning: 10 / 10 ---
2025-12-04T08:55:59.7242303Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x7f1bdb0c7770>
2025-12-04T08:55:59.7243885Z     /opt/conda/envs/py_3.14/lib/python3.14/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`.
2025-12-04T08:55:59.7244098Z       WeightNorm.apply(module, name, dim)
2025-12-04T08:55:59.7244272Z     
2025-12-04T08:55:59.7244808Z === 378 passed, 516 skipped, 27 warnings in 13.31 seconds ===
2025-12-04T08:55:59.7245224Z Finished doctests 1/1 ... [2025-12-04 08:55:59.659397][2906.311370311], took 0.22min
2025-12-04T08:55:59.7245784Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 08:55:59.661052][2906.313032906]
2025-12-04T08:55:59.7245991Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:55:59.7247740Z Executing ['/opt/conda/envs/py_3.14/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 08:55:59.661363]
2025-12-04T08:56:03.2323941Z 
2025-12-04T08:56:03.2325496Z 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_7d5ac0e1825ea9f1_.log
2025-12-04T08:56:03.2327250Z 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
2025-12-04T08:56:03.2328198Z 
2025-12-04T08:56:03.2328543Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 08:56:03.232348][2909.884324764], took 0.06min
2025-12-04T08:56:03.2340354Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-7b16f578b7bde196.xml
2025-12-04T08:56:03.3090462Z Running test_cpp_api_parity 1/1 ... [2025-12-04 08:56:03.308815][2909.960793788]
2025-12-04T08:56:03.3090954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T08:56:03.3093754Z Executing ['/opt/conda/envs/py_3.14/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 08:56:03.309119]
2025-12-04T09:01:47.9669464Z 
2025-12-04T09:01:47.9670553Z 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_205082bd4e8b66dc_.log
2025-12-04T09:01:47.9869717Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda
2025-12-04T09:01:48.0061570Z 
2025-12-04T09:01:48.0061862Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:01:47.967613][3254.619587942], took 5.74min
2025-12-04T09:01:48.0063028Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-0cbbc6cb6aff2c82.xml
2025-12-04T09:01:48.0642345Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:01:48.063994][3254.715972878]
2025-12-04T09:01:48.0642854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:01:48.0645240Z Executing ['/opt/conda/envs/py_3.14/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 09:01:48.064309]
2025-12-04T09:01:59.4937558Z 
2025-12-04T09:01:59.4938755Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_9f484826c88cf198_.log
2025-12-04T09:01:59.4959861Z 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
2025-12-04T09:01:59.4972294Z 
2025-12-04T09:01:59.4972606Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:01:59.493604][3266.145583805], took 0.19min
2025-12-04T09:01:59.4973711Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-f43fa5a89b0d92c7.xml
2025-12-04T09:01:59.5699381Z Running test_autocast 1/1 ... [2025-12-04 09:01:59.569705][3266.221684719]
2025-12-04T09:01:59.5699855Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:01:59.5702309Z Executing ['/opt/conda/envs/py_3.14/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 09:01:59.570001]
2025-12-04T09:02:10.8993907Z 
2025-12-04T09:02:10.8994824Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_b956800f568f26a2_.log
2025-12-04T09:02:10.9002074Z 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
2025-12-04T09:02:10.9008936Z 
2025-12-04T09:02:10.9009186Z Finished test_autocast 1/1 ... [2025-12-04 09:02:10.899144][3277.551121763], took 0.19min
2025-12-04T09:02:10.9015235Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-b4ea2df3ca0bf7f7.xml
2025-12-04T09:02:10.9763226Z Running test_jit_disabled 1/1 ... [2025-12-04 09:02:10.976076][3277.6280554]
2025-12-04T09:02:10.9763827Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:02:10.9767372Z Executing ['/opt/conda/envs/py_3.14/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 09:02:10.976388]
2025-12-04T09:02:13.5415058Z 
2025-12-04T09:02:13.5416207Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_4332962c5375df6c_.log
2025-12-04T09:02:13.5416873Z 
2025-12-04T09:02:13.5417140Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:02:13.541301][3280.193280659], took 0.04min
2025-12-04T09:02:13.5434779Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:02:13.543299][3280.195278068]
2025-12-04T09:02:13.5435315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:02:13.5438474Z Executing ['/opt/conda/envs/py_3.14/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 09:02:13.543611]
2025-12-04T09:02:17.8137974Z 
2025-12-04T09:02:17.8139030Z 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_e3ce0c50f4b38538_.log
2025-12-04T09:02:17.8142194Z 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
2025-12-04T09:02:17.8144459Z 
2025-12-04T09:02:17.8144793Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:02:17.813613][3284.465591533], took 0.07min
2025-12-04T09:02:17.8157526Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-81c4e05ef88a8c83.xml
2025-12-04T09:02:17.8944732Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:02:17.894204][3284.546183718]
2025-12-04T09:02:17.8945396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:02:17.8947259Z Executing ['/opt/conda/envs/py_3.14/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 09:02:17.894483]
2025-12-04T09:02:21.9143171Z 
2025-12-04T09:02:21.9145000Z 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_9f6556d14050000d_.log
2025-12-04T09:02:21.9147467Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-12-04T09:02:21.9148871Z 
2025-12-04T09:02:21.9149555Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:02:21.914122][3288.566101614], took 0.07min
2025-12-04T09:02:21.9167238Z 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-9c52ed9baf6b1061.xml
2025-12-04T09:02:21.9458440Z Running test_dispatch 1/1 ... [2025-12-04 09:02:21.945607][3288.597586874]
2025-12-04T09:02:21.9459188Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:02:21.9462384Z Executing ['/opt/conda/envs/py_3.14/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 09:02:21.945927]
2025-12-04T09:03:36.7583535Z 
2025-12-04T09:03:36.7584576Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_b34aaba012cc9fec_.log
2025-12-04T09:03:36.7595163Z 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
2025-12-04T09:03:36.7605048Z 
2025-12-04T09:03:36.7605300Z Finished test_dispatch 1/1 ... [2025-12-04 09:03:36.758406][3363.410381128], took 1.25min
2025-12-04T09:03:36.7608535Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-75f83f9fc0c64217.xml
2025-12-04T09:03:36.8390190Z Running nn/test_convolution 1/2 ... [2025-12-04 09:03:36.838771][3363.490750215]
2025-12-04T09:03:36.8390767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:03:36.8393365Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:03:36.839096]
2025-12-04T09:08:27.3377425Z 
2025-12-04T09:08:27.3378445Z nn/test_convolution 1/2 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.2_ba490f355b4223d7_.log
2025-12-04T09:08:27.3548111Z Running 289 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, 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_Conv3d_groups_wbias, 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_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_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_grad_conv1d_weight, 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_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_huge_padding, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, 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_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_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_float64
2025-12-04T09:08:27.3715551Z 
2025-12-04T09:08:27.3715858Z Finished nn/test_convolution 1/2 ... [2025-12-04 09:08:27.338503][3653.990478945], took 4.84min
2025-12-04T09:08:27.3716913Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-f591ae8111671b1f.xml
2025-12-04T09:08:27.8067768Z Uploading artifacts took 0.39 seconds
2025-12-04T09:08:27.8068919Z Running nn/test_convolution 2/2 ... [2025-12-04 09:08:27.806721][3654.458700517]
2025-12-04T09:08:27.8069622Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:08:27.8072696Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'nn/test_convolution.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 09:08:27.807065]
2025-12-04T09:14:51.6922176Z 
2025-12-04T09:14:51.6927715Z nn/test_convolution 2/2 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_2.2_645ef892ff1980d4_.log
2025-12-04T09:14:51.7259604Z Running 315 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_backward_twice, 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_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, 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_conv_cudnn_memory_layout_dominance, 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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_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_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_True_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_cudnn_mismatch_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_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_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32
2025-12-04T09:14:51.7449784Z 
2025-12-04T09:14:51.7450108Z Finished nn/test_convolution 2/2 ... [2025-12-04 09:14:51.693278][4038.345253874], took 6.40min
2025-12-04T09:14:51.7451155Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-53500333f89cc9a4.xml
2025-12-04T09:14:51.7894974Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:14:51.789227][4038.441205066]
2025-12-04T09:14:51.7895649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:51.7898301Z Executing ['/opt/conda/envs/py_3.14/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 09:14:51.789570]
2025-12-04T09:15:37.1156494Z 
2025-12-04T09:15:37.1157991Z 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_63cdc9e9b2c35e55_.log
2025-12-04T09:15:37.1185415Z 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
2025-12-04T09:15:37.1211935Z 
2025-12-04T09:15:37.1212473Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:15:37.115613][4083.76759092], took 0.76min
2025-12-04T09:15:37.1214425Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-50a80f2cc4f9c5de.xml
2025-12-04T09:15:37.1859433Z Running test_cuda_trace 1/1 ... [2025-12-04 09:15:37.185692][4083.837669937]
2025-12-04T09:15:37.1860206Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:37.1863322Z Executing ['/opt/conda/envs/py_3.14/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 09:15:37.186011]
2025-12-04T09:15:39.8054271Z 
2025-12-04T09:15:39.8055135Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_4896bf6a1dc4f95e_.log
2025-12-04T09:15:39.8055867Z Running 0 items in this shard:
2025-12-04T09:15:39.8056075Z 
2025-12-04T09:15:39.8056336Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:15:39.805244][4086.457222153], took 0.04min
2025-12-04T09:15:39.8080521Z Running test_native_mha 1/1 ... [2025-12-04 09:15:39.807870][4086.459849845]
2025-12-04T09:15:39.8080996Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:39.8084497Z Executing ['/opt/conda/envs/py_3.14/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 09:15:39.808192]
2025-12-04T09:16:23.0806755Z 
2025-12-04T09:16:23.0807918Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_6ca07eb60158502f_.log
2025-12-04T09:16:23.0832374Z 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
2025-12-04T09:16:23.0854561Z 
2025-12-04T09:16:23.0854827Z Finished test_native_mha 1/1 ... [2025-12-04 09:16:23.080497][4129.732475509], took 0.72min
2025-12-04T09:16:23.0855818Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-14d81bff6a216bc4.xml
2025-12-04T09:16:23.1552206Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:16:23.154844][4129.806820083]
2025-12-04T09:16:23.1552812Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:23.1555056Z Executing ['/opt/conda/envs/py_3.14/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 09:16:23.155242]
2025-12-04T09:16:25.7802555Z 
2025-12-04T09:16:25.7804054Z 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_097295d80166300a_.log
2025-12-04T09:16:25.7805639Z Running 0 items in this shard:
2025-12-04T09:16:25.7806002Z 
2025-12-04T09:16:25.7806594Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:16:25.780037][4132.432015959], took 0.04min
2025-12-04T09:16:25.7833675Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:16:25.783120][4132.435100571]
2025-12-04T09:16:25.7834487Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:25.7837715Z Executing ['/opt/conda/envs/py_3.14/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 09:16:25.783462]
2025-12-04T09:16:41.0681481Z 
2025-12-04T09:16:41.0682767Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_e65088ba07d274fb_.log
2025-12-04T09:16:41.0685848Z 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
2025-12-04T09:16:41.0688358Z 
2025-12-04T09:16:41.0688665Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:16:41.067943][4147.719920051], took 0.25min
2025-12-04T09:16:41.0712379Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-3c42da917f73e390.xml
2025-12-04T09:16:41.1496345Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:16:41.149290][4147.801268053]
2025-12-04T09:16:41.1496968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:41.1499049Z Executing ['/opt/conda/envs/py_3.14/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 09:16:41.149625]
2025-12-04T09:16:43.7843952Z 
2025-12-04T09:16:43.7845183Z 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_e2ca760f137c4f22_.log
2025-12-04T09:16:43.7846206Z Running 0 items in this shard:
2025-12-04T09:16:43.7846411Z 
2025-12-04T09:16:43.7846692Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:16:43.784219][4150.436198128], took 0.04min
2025-12-04T09:16:43.7876372Z Running distributions/test_distributions 1/3 ... [2025-12-04 09:16:43.787435][4150.439414993]
2025-12-04T09:16:43.7877027Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:43.7880349Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:16:43.787757]
2025-12-04T09:21:20.4846405Z 
2025-12-04T09:21:20.4848079Z distributions/test_distributions 1/3 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.3_4c1f28861319f7c4_.log
2025-12-04T09:21:20.4877585Z Running 71 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, 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_sample, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, 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_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_geometric_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_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, 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_2d, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_torch_binomial_dtype_errors, 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_shape, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_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_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, 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_studentT_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_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, 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::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_variance
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2025-12-04T09:21:20.4908095Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-7fbe5e0633a493c9.xml
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2025-12-04T09:21:20.5596591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:20.5598984Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:21:20.559636]
2025-12-04T09:34:02.1998503Z 
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2025-12-04T09:34:02.2031734Z Running 78 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, 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_gpu, 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_stable, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, 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_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_exponential, 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_geometric, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, 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_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_pareto, 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_repr, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, 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_valid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_vonmises_logprob, test/distributions/test_distributions.py::TestDistributions::test_wishart_sample, 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_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::TestDistributionShapes::test_beta_shape_scalar_params, 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_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, 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_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_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::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_gradient, 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_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, 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_sample
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2025-12-04T09:34:02.2064691Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-e4ecf91b362e1b9e.xml
2025-12-04T09:34:02.7291115Z Uploading artifacts took 0.44 seconds
2025-12-04T09:34:02.7292331Z Running distributions/test_distributions 3/3 ... [2025-12-04 09:34:02.729047][5189.381025568]
2025-12-04T09:34:02.7292946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:02.7296364Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:34:02.729375]
2025-12-04T09:36:52.3275766Z 
2025-12-04T09:36:52.3276803Z distributions/test_distributions 3/3 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_3.3_cc60dcec98e0f2bd_.log
2025-12-04T09:36:52.3311467Z Running 81 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_binomial, 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_vectorized_count, 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_shape, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, 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_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, 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_shape, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, 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_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_log_prob, 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_2d, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, 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_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_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_pareto_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_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, 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_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, 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::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints
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2025-12-04T09:36:52.3345772Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-a7bc4c96af8427e5.xml
2025-12-04T09:36:52.4012987Z Running test_autoload_disable 1/1 ... [2025-12-04 09:36:52.401052][5359.053030423]
2025-12-04T09:36:52.7031960Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:36:55.3526383Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:36:55.3550498Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:37:04.5239142Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:37:04.5496679Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=a0c966a857aca8dc21de7fde768fdf70e5e2f79fdc693856af429c29c7993e19
2025-12-04T09:37:04.5498105Z   Stored in directory: /tmp/pip-ephem-wheel-cache-cmwv3taq/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782
2025-12-04T09:37:04.5516197Z Successfully built torch_test_cpp_extension
2025-12-04T09:37:04.7004516Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:37:04.8650755Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:37:06.9393115Z 
2025-12-04T09:37:06.9393749Z Running tests...
2025-12-04T09:37:06.9394427Z ----------------------------------------------------------------------
2025-12-04T09:37:07.2983971Z .
2025-12-04T09:37:07.2984345Z ----------------------------------------------------------------------
2025-12-04T09:37:07.2984758Z Ran 1 test in 0.359s
2025-12-04T09:37:07.2984929Z 
2025-12-04T09:37:07.2985010Z OK
2025-12-04T09:37:07.2985129Z 
2025-12-04T09:37:07.2985233Z Generating XML reports...
2025-12-04T09:37:07.9399236Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:37:07.939551][5374.591524601], took 0.26min
2025-12-04T09:37:07.9429921Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204093706.xml
2025-12-04T09:37:08.0141611Z Running test_autoload_enable 1/1 ... [2025-12-04 09:37:08.013898][5374.665876895]
2025-12-04T09:37:08.3278541Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:37:10.9684400Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:37:10.9708412Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:37:19.8505385Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:37:19.8761825Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=df21f96aaef12af1f8c2587b7d58232fac3171ffe9b126b90b53b6eabe771673
2025-12-04T09:37:19.8763337Z   Stored in directory: /tmp/pip-ephem-wheel-cache-gm_f_1wb/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782
2025-12-04T09:37:19.8782110Z Successfully built torch_test_cpp_extension
2025-12-04T09:37:20.0258371Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:37:20.1939286Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:37:22.2703595Z 
2025-12-04T09:37:22.2704027Z Running tests...
2025-12-04T09:37:22.2704402Z ----------------------------------------------------------------------
2025-12-04T09:37:22.6280674Z .
2025-12-04T09:37:22.6281082Z ----------------------------------------------------------------------
2025-12-04T09:37:22.6281505Z Ran 1 test in 0.358s
2025-12-04T09:37:22.6281662Z 
2025-12-04T09:37:22.6281755Z OK
2025-12-04T09:37:22.6281917Z 
2025-12-04T09:37:22.6282024Z Generating XML reports...
2025-12-04T09:37:23.2898445Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:37:23.289439][5389.941412114], took 0.25min
2025-12-04T09:37:23.2932186Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204093722.xml
2025-12-04T09:37:23.4038852Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:37:23.403605][5390.055583853]
2025-12-04T09:37:23.7428983Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:37:26.4033835Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:37:26.4058742Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:37:33.1657884Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:37:33.1750348Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=3224930 sha256=e4fb37ff191669222b563551bdcf3a108ddbbb359484eca15507278b08b9370c
2025-12-04T09:37:33.1751730Z   Stored in directory: /tmp/pip-ephem-wheel-cache-a4z6_mx3/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782
2025-12-04T09:37:33.1771706Z Successfully built torch_test_cpp_extension
2025-12-04T09:37:33.3321376Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:37:33.4049572Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:37:33.7709369Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T09:37:35.3138568Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:37:35.3164856Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T09:37:37.0840673Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done
2025-12-04T09:37:37.0847202Z [?25h  Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp314-cp314-linux_x86_64.whl size=2967 sha256=feaf67f22c93986235e33f13c50a96aaf3bcc4c7709cedb69ec3fb39c37837b8
2025-12-04T09:37:37.0848607Z   Stored in directory: /tmp/pip-ephem-wheel-cache-4rew6_y2/wheels/82/6c/52/5a0d6507470d8e3a015c6b1af4cf42c6953d0bd7727d8a52d6
2025-12-04T09:37:37.0867852Z Successfully built no_python_abi_suffix_test
2025-12-04T09:37:37.2351202Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T09:37:37.2455836Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T09:37:37.3130852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:37.3133828Z Executing ['/opt/conda/envs/py_3.14/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 09:37:37.313141]
2025-12-04T09:37:47.2832809Z 
2025-12-04T09:37:47.2833791Z 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_40eb915d8582aabd_.log
2025-12-04T09:37:47.2841832Z 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
2025-12-04T09:37:47.2849563Z 
2025-12-04T09:37:47.2849888Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:37:47.282956][5413.934932807], took 0.40min
2025-12-04T09:37:47.2864154Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-88477bad00556451.xml
2025-12-04T09:37:47.3684425Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:37:47.368117][5414.020094864]
2025-12-04T09:37:47.6722760Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:37:50.3082653Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:37:50.3107239Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:37:59.3729900Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:37:59.3985527Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=0b4fab1a934bac693bb0a530752585baa19b98a3a07b292c9fe034a0215bd48b
2025-12-04T09:37:59.3986946Z   Stored in directory: /tmp/pip-ephem-wheel-cache-ktsvsnkf/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782
2025-12-04T09:37:59.4005604Z Successfully built torch_test_cpp_extension
2025-12-04T09:37:59.5500081Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:37:59.7153114Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:38:00.0829625Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T09:38:01.6200606Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:38:01.6224477Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T09:38:03.3435524Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ done
2025-12-04T09:38:03.3441696Z [?25h  Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp314-cp314-linux_x86_64.whl size=2967 sha256=fa49d3880e88fdf359ac35806ded16c6ff6f4a29cd8e4397efab94d25426e277
2025-12-04T09:38:03.3443059Z   Stored in directory: /tmp/pip-ephem-wheel-cache-hcpk8ktb/wheels/82/6c/52/5a0d6507470d8e3a015c6b1af4cf42c6953d0bd7727d8a52d6
2025-12-04T09:38:03.3461797Z Successfully built no_python_abi_suffix_test
2025-12-04T09:38:03.4964652Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T09:38:03.5068018Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T09:38:03.5721055Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:03.5724091Z Executing ['/opt/conda/envs/py_3.14/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 09:38:03.572129]
2025-12-04T09:38:13.4641344Z 
2025-12-04T09:38:13.4642662Z 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_9293fa0baa9b3d83_.log
2025-12-04T09:38:13.4651094Z 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
2025-12-04T09:38:13.4658805Z 
2025-12-04T09:38:13.4659129Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:38:13.464060][5440.116038336], took 0.43min
2025-12-04T09:38:13.4675640Z 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-bfe2dc503d1a5a37.xml
2025-12-04T09:38:13.5448838Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:38:13.544621][5440.196599665]
2025-12-04T09:38:13.5449488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:13.5452095Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:38:13.544919]
2025-12-04T09:38:21.2821633Z 
2025-12-04T09:38:21.2822654Z dynamo/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.1_e6d92bb8d33b32f4_.log
2025-12-04T09:38:21.2823405Z 
2025-12-04T09:38:21.2823719Z Finished dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:38:21.281943][5447.933921004], took 0.13min
2025-12-04T09:38:21.2857891Z Running dynamo/test_functions 1/1 ... [2025-12-04 09:38:21.285600][5447.937579893]
2025-12-04T09:38:21.2858367Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:21.2861426Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:38:21.285920]
2025-12-04T09:38:27.4407709Z 
2025-12-04T09:38:27.4408994Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_edda69634376e54f_.log
2025-12-04T09:38:27.4409788Z 
2025-12-04T09:38:27.4410106Z Finished dynamo/test_functions 1/1 ... [2025-12-04 09:38:27.440559][5454.092538721], took 0.10min
2025-12-04T09:38:27.4443881Z Running dynamo/test_sets 1/1 ... [2025-12-04 09:38:27.444197][5454.096176628]
2025-12-04T09:38:27.4444392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:27.4446929Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:38:27.444489]
2025-12-04T09:38:30.2064918Z 
2025-12-04T09:38:30.2065783Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_d454a9e621f83d62_.log
2025-12-04T09:38:30.2066443Z 
2025-12-04T09:38:30.2066732Z Finished dynamo/test_sets 1/1 ... [2025-12-04 09:38:30.206289][5456.85826898], took 0.05min
2025-12-04T09:38:30.2101263Z Running test_jit_fuser_te 1/1 ... [2025-12-04 09:38:30.209935][5456.861915642]
2025-12-04T09:38:30.2101710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:30.2104404Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_jit_fuser_te.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 09:38:30.210226]
2025-12-04T09:38:35.0167159Z 
2025-12-04T09:38:35.0168400Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_9ce65677d4502a41_.log
2025-12-04T09:38:35.0169046Z 
2025-12-04T09:38:35.0169305Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 09:38:35.016528][5461.668508004], took 0.08min
2025-12-04T09:38:35.0203925Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:38:35.020208][5461.672187548]
2025-12-04T09:38:35.0204506Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:35.0207542Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:38:35.020507]
2025-12-04T09:38:41.1148865Z 
2025-12-04T09:38:41.1150289Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_0f7da75c8b3ff717_.log
2025-12-04T09:38:41.1151126Z 
2025-12-04T09:38:41.1151507Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:38:41.114664][5467.766641885], took 0.10min
2025-12-04T09:38:41.1190489Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:38:41.118830][5467.770810274]
2025-12-04T09:38:41.1191278Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:41.1193876Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:38:41.119132]
2025-12-04T09:38:47.9868998Z 
2025-12-04T09:38:47.9870321Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_e3107f7bd4e95e19_.log
2025-12-04T09:38:47.9871088Z 
2025-12-04T09:38:47.9871407Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:38:47.986699][5474.638677819], took 0.11min
2025-12-04T09:38:47.9910114Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:38:47.990805][5474.642784691]
2025-12-04T09:38:47.9910823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:47.9913653Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_deque_reconstruct.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 09:38:47.991121]
2025-12-04T09:38:50.5254730Z 
2025-12-04T09:38:50.5255900Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_99931fb67415ef41_.log
2025-12-04T09:38:50.5256658Z 
2025-12-04T09:38:50.5257001Z Finished dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:38:50.525252][5477.177229958], took 0.04min
2025-12-04T09:38:50.5295553Z Running dynamo/test_model_output 1/1 ... [2025-12-04 09:38:50.529365][5477.181344582]
2025-12-04T09:38:50.5296172Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:50.5299141Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:38:50.529670]
2025-12-04T09:38:53.2929170Z 
2025-12-04T09:38:53.2930442Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_d7be40060dc3a0fc_.log
2025-12-04T09:38:53.2931398Z 
2025-12-04T09:38:53.2931708Z Finished dynamo/test_model_output 1/1 ... [2025-12-04 09:38:53.292719][5479.944696786], took 0.05min
2025-12-04T09:38:53.2966001Z Running dynamo/test_modules 1/1 ... [2025-12-04 09:38:53.296360][5479.948339361]
2025-12-04T09:38:53.2966614Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:53.2969297Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:38:53.296677]
2025-12-04T09:38:59.5016280Z 
2025-12-04T09:38:59.5017765Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_6eddad51eb2917df_.log
2025-12-04T09:38:59.5018455Z 
2025-12-04T09:38:59.5018740Z Finished dynamo/test_modules 1/1 ... [2025-12-04 09:38:59.501413][5486.153392266], took 0.10min
2025-12-04T09:38:59.5052710Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 09:38:59.505056][5486.157036165]
2025-12-04T09:38:59.5053374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:59.5056778Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:38:59.505350]
2025-12-04T09:39:02.2878114Z 
2025-12-04T09:39:02.2879068Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_ab90f3ca97db7364_.log
2025-12-04T09:39:02.2880717Z 
2025-12-04T09:39:02.2881041Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 09:39:02.287589][5488.939568108], took 0.05min
2025-12-04T09:39:02.2919758Z Running dynamo/test_utils 1/1 ... [2025-12-04 09:39:02.291735][5488.943714467]
2025-12-04T09:39:02.2920256Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:02.2922671Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:39:02.292054]
2025-12-04T09:39:04.8369825Z 
2025-12-04T09:39:04.8371104Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_4dd93419279b5fdc_.log
2025-12-04T09:39:04.8372199Z 
2025-12-04T09:39:04.8372652Z Finished dynamo/test_utils 1/1 ... [2025-12-04 09:39:04.836733][5491.488711318], took 0.04min
2025-12-04T09:39:04.8406783Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:39:04.840436][5491.492415231]
2025-12-04T09:39:04.8407353Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:04.8410148Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.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 09:39:04.840783]
2025-12-04T09:39:07.6009287Z 
2025-12-04T09:39:07.6011089Z dynamo/test_skip_guard_eval_unsafe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_15e8008be7b27261_.log
2025-12-04T09:39:07.6012626Z 
2025-12-04T09:39:07.6013300Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:39:07.600712][5494.252690559], took 0.05min
2025-12-04T09:39:07.6048201Z Running dynamo/test_view 1/1 ... [2025-12-04 09:39:07.604572][5494.256551623]
2025-12-04T09:39:07.6048947Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:07.6051980Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_view.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 09:39:07.604900]
2025-12-04T09:39:10.1203241Z 
2025-12-04T09:39:10.1204611Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_9b6590a814d55ee6_.log
2025-12-04T09:39:10.1205831Z 
2025-12-04T09:39:10.1206333Z Finished dynamo/test_view 1/1 ... [2025-12-04 09:39:10.120120][5496.77209877], took 0.04min
2025-12-04T09:39:10.1241892Z Running dynamo/test_subgraphs 1/1 ... [2025-12-04 09:39:10.123929][5496.775909335]
2025-12-04T09:39:10.1242696Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:10.1246282Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_subgraphs.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 09:39:10.124287]
2025-12-04T09:39:12.9344015Z 
2025-12-04T09:39:12.9345064Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_10026f799a5d9ac6_.log
2025-12-04T09:39:12.9345758Z 
2025-12-04T09:39:12.9346052Z Finished dynamo/test_subgraphs 1/1 ... [2025-12-04 09:39:12.934191][5499.586169628], took 0.05min
2025-12-04T09:39:12.9380775Z Running dynamo/test_pgo 1/1 ... [2025-12-04 09:39:12.937884][5499.589864474]
2025-12-04T09:39:12.9381235Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:12.9384473Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_pgo.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 09:39:12.938232]
2025-12-04T09:39:15.7322675Z 
2025-12-04T09:39:15.7323607Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_ddf367d452104503_.log
2025-12-04T09:39:15.7324247Z 
2025-12-04T09:39:15.7324521Z Finished dynamo/test_pgo 1/1 ... [2025-12-04 09:39:15.732037][5502.384015413], took 0.05min
2025-12-04T09:39:15.7359241Z Running dynamo/test_nops 1/1 ... [2025-12-04 09:39:15.735743][5502.387723568]
2025-12-04T09:39:15.7359712Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:15.7363711Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_nops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:39:15.736152]
2025-12-04T09:39:18.5193225Z 
2025-12-04T09:39:18.5194086Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_82b902664c854cb7_.log
2025-12-04T09:39:18.5194764Z 
2025-12-04T09:39:18.5195056Z Finished dynamo/test_nops 1/1 ... [2025-12-04 09:39:18.519109][5505.171087993], took 0.05min
2025-12-04T09:39:18.5229166Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 09:39:18.522756][5505.174736336]
2025-12-04T09:39:18.5229699Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:18.5232829Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_graph_region_tracker.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 09:39:18.523066]
2025-12-04T09:39:21.3223048Z 
2025-12-04T09:39:21.3224183Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_4b879c4fe834c27d_.log
2025-12-04T09:39:21.3224993Z 
2025-12-04T09:39:21.3225345Z Finished dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 09:39:21.322087][5507.974064602], took 0.05min
2025-12-04T09:39:21.3263757Z Running dynamo/test_install_free_tensors 1/1 ... [2025-12-04 09:39:21.326185][5507.978165471]
2025-12-04T09:39:21.3264467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:21.3266859Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_install_free_tensors.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 09:39:21.326477]
2025-12-04T09:39:24.0849977Z 
2025-12-04T09:39:24.0851127Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_f2f66d1e8263c7bc_.log
2025-12-04T09:39:24.0851936Z 
2025-12-04T09:39:24.0852275Z Finished dynamo/test_install_free_tensors 1/1 ... [2025-12-04 09:39:24.084782][5510.736759635], took 0.05min
2025-12-04T09:39:24.0887561Z Running dynamo/test_profiler 1/1 ... [2025-12-04 09:39:24.088500][5510.740480251]
2025-12-04T09:39:24.0888357Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:24.0890200Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:39:24.088799]
2025-12-04T09:39:26.8268276Z 
2025-12-04T09:39:26.8269201Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_8cc5e3d0c728df3d_.log
2025-12-04T09:39:26.8269894Z 
2025-12-04T09:39:26.8270260Z Finished dynamo/test_profiler 1/1 ... [2025-12-04 09:39:26.826616][5513.478595002], took 0.05min
2025-12-04T09:39:26.8305558Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-12-04 09:39:26.830351][5513.482330621]
2025-12-04T09:39:26.8306341Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:26.8309372Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_nested_graph_breaks.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 09:39:26.830697]
2025-12-04T09:39:29.6361287Z 
2025-12-04T09:39:29.6362503Z dynamo/test_nested_graph_breaks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nested_graph_breaks_1.1_50bd883fbeaf912a_.log
2025-12-04T09:39:29.6363339Z 
2025-12-04T09:39:29.6363683Z Finished dynamo/test_nested_graph_breaks 1/1 ... [2025-12-04 09:39:29.635905][5516.287883145], took 0.05min
2025-12-04T09:39:29.6398263Z Running dynamo/test_deviceguard 1/1 ... [2025-12-04 09:39:29.639647][5516.29162656]
2025-12-04T09:39:29.6398766Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:29.6401896Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_deviceguard.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 09:39:29.639959]
2025-12-04T09:39:32.3831886Z 
2025-12-04T09:39:32.3832827Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_ae4ff1c98ac0ac45_.log
2025-12-04T09:39:32.3833556Z 
2025-12-04T09:39:32.3833860Z Finished dynamo/test_deviceguard 1/1 ... [2025-12-04 09:39:32.382984][5519.034961862], took 0.05min
2025-12-04T09:39:32.3867904Z Running dynamo/test_modes 1/1 ... [2025-12-04 09:39:32.386614][5519.03859401]
2025-12-04T09:39:32.3868370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:32.3871497Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:39:32.386933]
2025-12-04T09:39:38.4865455Z 
2025-12-04T09:39:38.4866681Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_3e3890ac9d1b94d6_.log
2025-12-04T09:39:38.4867545Z 
2025-12-04T09:39:38.4867835Z Finished dynamo/test_modes 1/1 ... [2025-12-04 09:39:38.486362][5525.138341485], took 0.10min
2025-12-04T09:39:38.4907667Z Running dynamo/test_base_hop 1/1 ... [2025-12-04 09:39:38.490541][5525.142519487]
2025-12-04T09:39:38.4908317Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:38.4910858Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_base_hop.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 09:39:38.490837]
2025-12-04T09:39:41.2372582Z 
2025-12-04T09:39:41.2373849Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_ed90e3b81b3e7ccd_.log
2025-12-04T09:39:41.2374790Z 
2025-12-04T09:39:41.2375082Z Finished dynamo/test_base_hop 1/1 ... [2025-12-04 09:39:41.237047][5527.889026021], took 0.05min
2025-12-04T09:39:41.2409594Z Running dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:39:41.240747][5527.892727416]
2025-12-04T09:39:41.2410235Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:41.2413193Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_python_dispatcher.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 09:39:41.241060]
2025-12-04T09:39:44.0006043Z 
2025-12-04T09:39:44.0007342Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_be312afc7666fed8_.log
2025-12-04T09:39:44.0008328Z 
2025-12-04T09:39:44.0008689Z Finished dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:39:44.000415][5530.652393927], took 0.05min
2025-12-04T09:39:44.0043248Z Running dynamo/test_callback 1/1 ... [2025-12-04 09:39:44.004067][5530.656046145]
2025-12-04T09:39:44.0043804Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:44.0047112Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_callback.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 09:39:44.004406]
2025-12-04T09:39:50.0929383Z 
2025-12-04T09:39:50.0931025Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_1c272022c95ab6c2_.log
2025-12-04T09:39:50.0931740Z 
2025-12-04T09:39:50.0932031Z Finished dynamo/test_callback 1/1 ... [2025-12-04 09:39:50.092723][5536.744702422], took 0.10min
2025-12-04T09:39:50.0966465Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 09:39:50.096428][5536.748407878]
2025-12-04T09:39:50.0967007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:50.0969541Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:39:50.096739]
2025-12-04T09:39:52.8593018Z 
2025-12-04T09:39:52.8594089Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_1b00763c7b37322f_.log
2025-12-04T09:39:52.8594788Z 
2025-12-04T09:39:52.8595095Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 09:39:52.859092][5539.511071722], took 0.05min
2025-12-04T09:39:52.8629228Z Running dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:39:52.862735][5539.514714973]
2025-12-04T09:39:52.8629802Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:52.8632842Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:39:52.863065]
2025-12-04T09:39:55.6192393Z 
2025-12-04T09:39:55.6193523Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_bd0ccd2ca7b83b83_.log
2025-12-04T09:39:55.6194336Z 
2025-12-04T09:39:55.6194682Z Finished dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:39:55.619030][5542.271008575], took 0.05min
2025-12-04T09:39:55.6228857Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:39:55.622699][5542.274678986]
2025-12-04T09:39:55.6229364Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:55.6232799Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:39:55.623029]
2025-12-04T09:39:58.3976982Z 
2025-12-04T09:39:58.3977943Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_e6098c87fade61ae_.log
2025-12-04T09:39:58.3978691Z 
2025-12-04T09:39:58.3979026Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:39:58.397464][5545.049442013], took 0.05min
2025-12-04T09:39:58.4012994Z Running dynamo/test_torchrec 1/1 ... [2025-12-04 09:39:58.401117][5545.05309718]
2025-12-04T09:39:58.4013461Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:58.4016454Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_torchrec.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 09:39:58.401426]
2025-12-04T09:40:01.2123407Z 
2025-12-04T09:40:01.2124389Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_e964f0d447aa238b_.log
2025-12-04T09:40:01.2125160Z 
2025-12-04T09:40:01.2125505Z Finished dynamo/test_torchrec 1/1 ... [2025-12-04 09:40:01.212134][5547.864113386], took 0.05min
2025-12-04T09:40:01.2159744Z Running dynamo/test_trace_rules 1/1 ... [2025-12-04 09:40:01.215786][5547.867766527]
2025-12-04T09:40:01.2160223Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:01.2163318Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:01.216114]
2025-12-04T09:40:03.7836005Z 
2025-12-04T09:40:03.7837023Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_6fb2b7b492c01959_.log
2025-12-04T09:40:03.7837773Z 
2025-12-04T09:40:03.7838130Z Finished dynamo/test_trace_rules 1/1 ... [2025-12-04 09:40:03.783388][5550.435366158], took 0.04min
2025-12-04T09:40:03.7872326Z Running dynamo/test_subclasses 1/1 ... [2025-12-04 09:40:03.787045][5550.439025261]
2025-12-04T09:40:03.7872863Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:03.7875807Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_subclasses.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 09:40:03.787368]
2025-12-04T09:40:09.9919173Z 
2025-12-04T09:40:09.9920189Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_4582d8a86b7a4ec9_.log
2025-12-04T09:40:09.9920992Z 
2025-12-04T09:40:09.9921319Z Finished dynamo/test_subclasses 1/1 ... [2025-12-04 09:40:09.991708][5556.643687857], took 0.10min
2025-12-04T09:40:09.9955800Z Running dynamo/test_comptime 1/1 ... [2025-12-04 09:40:09.995393][5556.647373455]
2025-12-04T09:40:09.9956513Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:09.9959095Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:09.995698]
2025-12-04T09:40:12.8309604Z 
2025-12-04T09:40:12.8310643Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_1294073786088bd9_.log
2025-12-04T09:40:12.8311332Z 
2025-12-04T09:40:12.8311632Z Finished dynamo/test_comptime 1/1 ... [2025-12-04 09:40:12.830741][5559.482720151], took 0.05min
2025-12-04T09:40:12.8346734Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:40:12.834453][5559.486433431]
2025-12-04T09:40:12.8347488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:12.8349939Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:12.834782]
2025-12-04T09:40:15.5363731Z 
2025-12-04T09:40:15.5364909Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_481d9e97f319ecca_.log
2025-12-04T09:40:15.5365658Z Running 0 items in this shard:
2025-12-04T09:40:15.5365849Z 
2025-12-04T09:40:15.5366114Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:40:15.536181][5562.18816068], took 0.05min
2025-12-04T09:40:15.5398935Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-1cfa0787aa46d0bc.xml
2025-12-04T09:40:15.6129305Z Running xpu/test_gemm 1/1 ... [2025-12-04 09:40:15.612669][5562.264647879]
2025-12-04T09:40:15.6129785Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:15.6132338Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'xpu/test_gemm.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 09:40:15.612980]
2025-12-04T09:40:18.6907264Z 
2025-12-04T09:40:18.6908418Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_33c86485a022ee75_.log
2025-12-04T09:40:18.6909132Z Running 0 items in this shard:
2025-12-04T09:40:18.6909346Z 
2025-12-04T09:40:18.6909593Z Finished xpu/test_gemm 1/1 ... [2025-12-04 09:40:18.690525][5565.342504536], took 0.05min
2025-12-04T09:40:18.6942606Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-54a3ed67d8780547.xml
2025-12-04T09:40:18.7220828Z Running functorch/test_ac 1/1 ... [2025-12-04 09:40:18.721857][5565.373837385]
2025-12-04T09:40:18.7221399Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:18.7224170Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:18.722143]
2025-12-04T09:40:24.9587592Z 
2025-12-04T09:40:24.9588772Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_40bd65c25b8ed39f_.log
2025-12-04T09:40:24.9589428Z 
2025-12-04T09:40:24.9589701Z Finished functorch/test_ac 1/1 ... [2025-12-04 09:40:24.958555][5571.610532877], took 0.10min
2025-12-04T09:40:24.9626547Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 09:40:24.962461][5571.614441282]
2025-12-04T09:40:24.9627214Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:24.9630304Z Executing ['/opt/conda/envs/py_3.14/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 09:40:24.962772]
2025-12-04T09:40:27.6259053Z 
2025-12-04T09:40:27.6260253Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_c8dcef58d5d7aa34_.log
2025-12-04T09:40:27.6261039Z Running 0 items in this shard:
2025-12-04T09:40:27.6261231Z 
2025-12-04T09:40:27.6261519Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 09:40:27.625714][5574.277693142], took 0.04min
2025-12-04T09:40:27.6296493Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-80735b79ecd94831.xml
2025-12-04T09:40:27.7101106Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:40:27.709791][5574.361770194]
2025-12-04T09:40:27.7101934Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:27.7103640Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.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 09:40:27.710091]
2025-12-04T09:40:30.3947118Z 
2025-12-04T09:40:30.3948784Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_95ed6e461d9bf35a_.log
2025-12-04T09:40:30.3950023Z Running 0 items in this shard:
2025-12-04T09:40:30.3950274Z 
2025-12-04T09:40:30.3951041Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:40:30.394519][5577.046497945], took 0.04min
2025-12-04T09:40:30.3986127Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.python_agnostic_extension.test.test_python_agnostic/cpp_extensions.python_agnostic_extension.test.test_python_agnostic-4b6a1d21adbbf987.xml
2025-12-04T09:40:30.4218762Z Running optim/test_optim 1/1 ... [2025-12-04 09:40:30.421672][5577.073652617]
2025-12-04T09:40:30.4219251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:30.4221837Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'optim/test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:30.421953]
2025-12-04T09:40:32.9503142Z 
2025-12-04T09:40:32.9504381Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_99c280fe01278f95_.log
2025-12-04T09:40:32.9505052Z 
2025-12-04T09:40:32.9505342Z Finished optim/test_optim 1/1 ... [2025-12-04 09:40:32.950103][5579.602081671], took 0.04min
2025-12-04T09:40:32.9543993Z Running functorch/test_vmap 3/5 ... [2025-12-04 09:40:32.954211][5579.606191464]
2025-12-04T09:40:32.9544691Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:32.9547645Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:32.954509]
2025-12-04T09:40:37.1744039Z 
2025-12-04T09:40:37.1744952Z functorch/test_vmap 3/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_3.5_e01293a0b17a5e3a_.log
2025-12-04T09:40:37.1745737Z Running 0 items in this shard:
2025-12-04T09:40:37.1745976Z 
2025-12-04T09:40:37.1746257Z Finished functorch/test_vmap 3/5 ... [2025-12-04 09:40:37.174182][5583.826160223], took 0.07min
2025-12-04T09:40:37.1783942Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-30c0b1f1d1476e94.xml
2025-12-04T09:40:37.2496826Z Running test_xnnpack_integration 1/1 ... [2025-12-04 09:40:37.249450][5583.901429875]
2025-12-04T09:40:37.2497326Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:37.2499852Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:37.249753]
2025-12-04T09:40:39.9677113Z 
2025-12-04T09:40:39.9678291Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_6f94a3699a29b402_.log
2025-12-04T09:40:39.9679155Z Running 0 items in this shard:
2025-12-04T09:40:39.9679346Z 
2025-12-04T09:40:39.9679911Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 09:40:39.967522][5586.619500425], took 0.05min
2025-12-04T09:40:39.9717940Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-92618fd323176c39.xml
2025-12-04T09:40:39.9951531Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:40:39.994902][5586.646881443]
2025-12-04T09:40:39.9952140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:39.9954907Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:39.995210]
2025-12-04T09:40:42.6630534Z 
2025-12-04T09:40:42.6631992Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_ef79561d3c43ef44_.log
2025-12-04T09:40:42.6632986Z Running 0 items in this shard:
2025-12-04T09:40:42.6633203Z 
2025-12-04T09:40:42.6633591Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:40:42.662860][5589.314838685], took 0.04min
2025-12-04T09:40:42.6671970Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-2907688d863390c8.xml
2025-12-04T09:40:42.6941396Z Running test_function_schema 1/1 ... [2025-12-04 09:40:42.693932][5589.345910874]
2025-12-04T09:40:42.6942031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:42.6944878Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_function_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:42.694222]
2025-12-04T09:40:45.3619311Z 
2025-12-04T09:40:45.3620584Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_25a3b9db6da97383_.log
2025-12-04T09:40:45.3621408Z Running 0 items in this shard:
2025-12-04T09:40:45.3621601Z 
2025-12-04T09:40:45.3621892Z Finished test_function_schema 1/1 ... [2025-12-04 09:40:45.361754][5592.013733845], took 0.04min
2025-12-04T09:40:45.3661499Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-ea7ac56cab0f7a17.xml
2025-12-04T09:40:45.3907556Z Running test_accelerator 1/1 ... [2025-12-04 09:40:45.390586][5592.042565758]
2025-12-04T09:40:45.3908024Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:45.3910968Z Executing ['/opt/conda/envs/py_3.14/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 09:40:45.390867]
2025-12-04T09:40:47.9240569Z 
2025-12-04T09:40:47.9241472Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_32a6ca9109213a84_.log
2025-12-04T09:40:47.9242131Z 
2025-12-04T09:40:47.9242402Z Finished test_accelerator 1/1 ... [2025-12-04 09:40:47.923867][5594.575844629], took 0.04min
2025-12-04T09:40:47.9286512Z Running nn/test_init 1/1 ... [2025-12-04 09:40:47.928502][5594.58048284]
2025-12-04T09:40:47.9287016Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:47.9290079Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'nn/test_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:47.928806]
2025-12-04T09:40:51.0973508Z 
2025-12-04T09:40:51.0974606Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_5d9c4f85e51d136d_.log
2025-12-04T09:40:51.0975351Z Running 0 items in this shard:
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2025-12-04T09:40:51.0975797Z Finished nn/test_init 1/1 ... [2025-12-04 09:40:51.097170][5597.749148844], took 0.05min
2025-12-04T09:40:51.1017275Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-e3e0dd5aa94f805e.xml
2025-12-04T09:40:51.1311244Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:40:51.130907][5597.782886822]
2025-12-04T09:40:51.1311843Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:51.1314415Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.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 09:40:51.131200]
2025-12-04T09:40:53.7990640Z 
2025-12-04T09:40:53.7991742Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_db3c83bd0b147cea_.log
2025-12-04T09:40:53.7992753Z Running 0 items in this shard:
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2025-12-04T09:40:53.7993357Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:40:53.798865][5600.450842982], took 0.04min
2025-12-04T09:40:53.8039660Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-e5d0e0a65aa55005.xml
2025-12-04T09:40:53.8277016Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:40:53.827469][5600.479448717]
2025-12-04T09:40:53.8277580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:53.8280511Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.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 09:40:53.827771]
2025-12-04T09:40:56.5458437Z 
2025-12-04T09:40:56.5459469Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_9b41933b67ca4399_.log
2025-12-04T09:40:56.5460402Z Running 0 items in this shard:
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2025-12-04T09:40:56.5460963Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:40:56.545660][5603.197639321], took 0.05min
2025-12-04T09:40:56.5504385Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-bb3ac113a5bd60f5.xml
2025-12-04T09:40:56.5782740Z Running torch_np/test_function_base 1/1 ... [2025-12-04 09:40:56.578048][5603.230028601]
2025-12-04T09:40:56.5783270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:56.5785965Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:56.578369]
2025-12-04T09:40:59.2464077Z 
2025-12-04T09:40:59.2465595Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_5e244740a9998061_.log
2025-12-04T09:40:59.2467211Z Running 0 items in this shard:
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2025-12-04T09:40:59.2468161Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 09:40:59.246057][5605.898036652], took 0.04min
2025-12-04T09:40:59.2512449Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-ef3d56cf9c225b29.xml
2025-12-04T09:40:59.2760262Z Running test_type_promotion 1/1 ... [2025-12-04 09:40:59.275704][5605.927683155]
2025-12-04T09:40:59.2761104Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:59.2763468Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:40:59.276051]
2025-12-04T09:41:02.0941293Z 
2025-12-04T09:41:02.0942825Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_b4ad1e146a64fd9c_.log
2025-12-04T09:41:02.0944314Z Running 0 items in this shard:
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2025-12-04T09:41:02.0945480Z Finished test_type_promotion 1/1 ... [2025-12-04 09:41:02.093915][5608.745894142], took 0.05min
2025-12-04T09:41:02.0992682Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-b9b757c123dd15b5.xml
2025-12-04T09:41:02.1269543Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:41:02.126697][5608.778677095]
2025-12-04T09:41:02.1270484Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:02.1273583Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:02.127048]
2025-12-04T09:41:04.7950561Z 
2025-12-04T09:41:04.7951830Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_1684221d4c2c6fc8_.log
2025-12-04T09:41:04.7952737Z Running 0 items in this shard:
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2025-12-04T09:41:04.7953277Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:41:04.794861][5611.446839998], took 0.04min
2025-12-04T09:41:04.8001739Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-6c4c30aaad3bd058.xml
2025-12-04T09:41:04.8236421Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 09:41:04.823369][5611.475348773]
2025-12-04T09:41:04.8237010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:04.8238975Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:04.823670]
2025-12-04T09:41:07.5415148Z 
2025-12-04T09:41:07.5416361Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_2715f90dd543673b_.log
2025-12-04T09:41:07.5417251Z Running 0 items in this shard:
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2025-12-04T09:41:07.5417979Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 09:41:07.541314][5614.193292889], took 0.05min
2025-12-04T09:41:07.5467252Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-32952c39006ab5c0.xml
2025-12-04T09:41:07.5671768Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:41:07.566961][5614.218941942]
2025-12-04T09:41:07.5672329Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.5675147Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:07.567270]
2025-12-04T09:41:10.2851064Z 
2025-12-04T09:41:10.2852419Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_93d64583c0c09dba_.log
2025-12-04T09:41:10.2853427Z Running 0 items in this shard:
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2025-12-04T09:41:10.2854010Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:41:10.284915][5616.936894014], took 0.05min
2025-12-04T09:41:10.2903854Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-72badb93ba04a9fe.xml
2025-12-04T09:41:10.3222340Z Running test_dlpack 1/1 ... [2025-12-04 09:41:10.322004][5616.973983341]
2025-12-04T09:41:10.3222801Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:10.3225160Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:10.322286]
2025-12-04T09:41:12.9900832Z 
2025-12-04T09:41:12.9901619Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_75e5954041ef7c31_.log
2025-12-04T09:41:12.9902327Z Running 0 items in this shard:
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2025-12-04T09:41:12.9902759Z Finished test_dlpack 1/1 ... [2025-12-04 09:41:12.989895][5619.641872781], took 0.04min
2025-12-04T09:41:12.9958425Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-c9368225aeb8d965.xml
2025-12-04T09:41:13.0207320Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 09:41:13.020555][5619.672535086]
2025-12-04T09:41:13.0207834Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:13.0210528Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:13.020840]
2025-12-04T09:41:15.6887202Z 
2025-12-04T09:41:15.6888214Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_100f5122ee3321de_.log
2025-12-04T09:41:15.6889132Z Running 0 items in this shard:
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2025-12-04T09:41:15.6889640Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 09:41:15.688526][5622.340505942], took 0.04min
2025-12-04T09:41:15.6940971Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-a50ccdfe9832105b.xml
2025-12-04T09:41:15.7351113Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 09:41:15.734892][5622.386872623]
2025-12-04T09:41:15.7351662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:15.7354400Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:15.735190]
2025-12-04T09:41:18.4530480Z 
2025-12-04T09:41:18.4531354Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_d53ea04eef87a61a_.log
2025-12-04T09:41:18.4532126Z Running 0 items in this shard:
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2025-12-04T09:41:18.4532606Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 09:41:18.452844][5625.104823343], took 0.05min
2025-12-04T09:41:18.4585516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-31317b495709ceaf.xml
2025-12-04T09:41:18.4917489Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:41:18.491470][5625.143449572]
2025-12-04T09:41:18.4918350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:18.4920168Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:18.491767]
2025-12-04T09:41:21.1597269Z 
2025-12-04T09:41:21.1598596Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_222cca142bf529de_.log
2025-12-04T09:41:21.1599525Z Running 0 items in this shard:
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2025-12-04T09:41:21.1600083Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:41:21.159400][5627.811379246], took 0.04min
2025-12-04T09:41:21.1652165Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-b6db94744f705445.xml
2025-12-04T09:41:21.1978350Z Running torch_np/test_reductions 1/1 ... [2025-12-04 09:41:21.197622][5627.849602026]
2025-12-04T09:41:21.1978988Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:21.1981840Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:21.197910]
2025-12-04T09:41:23.9657814Z 
2025-12-04T09:41:23.9659005Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_b9c6de94c062b3fe_.log
2025-12-04T09:41:23.9659846Z Running 0 items in this shard:
2025-12-04T09:41:23.9660038Z 
2025-12-04T09:41:23.9660351Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 09:41:23.965602][5630.617581015], took 0.05min
2025-12-04T09:41:23.9715638Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-e3ee7a6db2e8393c.xml
2025-12-04T09:41:23.9976869Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:41:23.997454][5630.649434082]
2025-12-04T09:41:23.9977604Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:23.9980574Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:23.997727]
2025-12-04T09:41:26.7155759Z 
2025-12-04T09:41:26.7157189Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_4a54f4862f5d1a60_.log
2025-12-04T09:41:26.7158203Z Running 0 items in this shard:
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2025-12-04T09:41:26.7158812Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:41:26.715396][5633.367375423], took 0.05min
2025-12-04T09:41:26.7215200Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-ad94cc7c2d87e452.xml
2025-12-04T09:41:26.7508869Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:41:26.750611][5633.402591638]
2025-12-04T09:41:26.7509464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:26.7512152Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:26.750909]
2025-12-04T09:41:29.4687334Z 
2025-12-04T09:41:29.4688918Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_8c11025f6a432a3c_.log
2025-12-04T09:41:29.4689901Z Running 0 items in this shard:
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2025-12-04T09:41:29.4690466Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:41:29.468566][5636.120545466], took 0.05min
2025-12-04T09:41:29.4751440Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-10c88bff6707bc08.xml
2025-12-04T09:41:29.5036964Z Running test_prims 1/1 ... [2025-12-04 09:41:29.503475][5636.155455684]
2025-12-04T09:41:29.5037555Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:29.5040182Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_prims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:29.503761]
2025-12-04T09:41:33.1227382Z 
2025-12-04T09:41:33.1228205Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_d0ce2957b9df3675_.log
2025-12-04T09:41:33.1228944Z Running 0 items in this shard:
2025-12-04T09:41:33.1229136Z 
2025-12-04T09:41:33.1229385Z Finished test_prims 1/1 ... [2025-12-04 09:41:33.122565][5639.774545116], took 0.06min
2025-12-04T09:41:33.1288540Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-3844bbd0f460ee4d.xml
2025-12-04T09:41:33.1533228Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 09:41:33.153150][5639.805130591]
2025-12-04T09:41:33.1533745Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:33.1536459Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:33.153441]
2025-12-04T09:41:35.8212400Z 
2025-12-04T09:41:35.8213410Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_73cdeead4f4e045e_.log
2025-12-04T09:41:35.8214428Z Running 0 items in this shard:
2025-12-04T09:41:35.8214622Z 
2025-12-04T09:41:35.8214942Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 09:41:35.821039][5642.473018424], took 0.04min
2025-12-04T09:41:35.8274232Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-d740000582fbeffa.xml
2025-12-04T09:41:35.8546169Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:41:35.854349][5642.50632801]
2025-12-04T09:41:35.8546923Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:35.8549249Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.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 09:41:35.854657]
2025-12-04T09:41:38.5224063Z 
2025-12-04T09:41:38.5225921Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_c5b0646da143bcd1_.log
2025-12-04T09:41:38.5227234Z Running 0 items in this shard:
2025-12-04T09:41:38.5227428Z 
2025-12-04T09:41:38.5227962Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:41:38.522229][5645.174208859], took 0.04min
2025-12-04T09:41:38.5289375Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-afc38665bdeaeb7f.xml
2025-12-04T09:41:38.5628345Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 09:41:38.562648][5645.214628631]
2025-12-04T09:41:38.5628858Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:38.5631627Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_torchfuzz_repros.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 09:41:38.562940]
2025-12-04T09:41:41.2308341Z 
2025-12-04T09:41:41.2309292Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_897f8d2d9f958293_.log
2025-12-04T09:41:41.2310411Z Running 0 items in this shard:
2025-12-04T09:41:41.2310621Z 
2025-12-04T09:41:41.2310921Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 09:41:41.230614][5647.88259324], took 0.04min
2025-12-04T09:41:41.2371585Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-f7741e79a81f162d.xml
2025-12-04T09:41:43.4640014Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:41:43.463610][5650.115587747]
2025-12-04T09:41:43.4640913Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:43.4643769Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:43.464029]
2025-12-04T09:41:43.4808517Z Running dynamo/test_functions 1/1 ... [2025-12-04 09:41:43.480537][5650.132512424]
2025-12-04T09:41:43.4809044Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:43.4812134Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:43.480940]
2025-12-04T09:41:43.4872629Z Running dynamo/test_sets 1/1 ... [2025-12-04 09:41:43.487055][5650.139030939]
2025-12-04T09:41:43.4873092Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:43.4877077Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:43.487455]
2025-12-04T09:41:46.4941453Z 
2025-12-04T09:41:46.4942637Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_3e2430b134e93167_.log
2025-12-04T09:41:46.4943614Z 
2025-12-04T09:41:46.4944036Z Finished dynamo/test_sets 1/1 ... [2025-12-04 09:41:46.493882][5653.145857681], took 0.05min
2025-12-04T09:41:49.4342618Z Running test_jit_fuser_te 1/1 ... [2025-12-04 09:41:49.433764][5656.085739452]
2025-12-04T09:41:49.4343781Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:49.4355576Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_jit_fuser_te.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 09:41:49.435084]
2025-12-04T09:41:51.5194713Z 
2025-12-04T09:41:51.5196149Z dynamo/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.1_88cf9d45699a7c0a_.log
2025-12-04T09:41:51.5197409Z 
2025-12-04T09:41:51.5197918Z Finished dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:41:51.519195][5658.171172598], took 0.13min
2025-12-04T09:41:51.8956684Z 
2025-12-04T09:41:51.8958285Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_37d097390f339ee4_.log
2025-12-04T09:41:51.8959062Z 
2025-12-04T09:41:51.8959359Z Finished dynamo/test_functions 1/1 ... [2025-12-04 09:41:51.895386][5658.547359988], took 0.14min
2025-12-04T09:41:54.2159784Z 
2025-12-04T09:41:54.2161033Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_af5ed3bb3c5297aa_.log
2025-12-04T09:41:54.2162181Z 
2025-12-04T09:41:54.2162632Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 09:41:54.215829][5660.867807369], took 0.08min
2025-12-04T09:41:54.4703962Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:41:54.469978][5661.121954817]
2025-12-04T09:41:54.4704895Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:54.4707628Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:54.470388]
2025-12-04T09:41:54.8912912Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:41:54.890859][5661.542835475]
2025-12-04T09:41:54.8913845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:54.8916571Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:41:54.891259]
2025-12-04T09:41:57.1283053Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:41:57.127861][5663.779838659]
2025-12-04T09:41:57.1283833Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:57.1285664Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_deque_reconstruct.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 09:41:57.128259]
2025-12-04T09:42:00.0439122Z 
2025-12-04T09:42:00.0440759Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_78c3c986cafdabce_.log
2025-12-04T09:42:00.0442208Z 
2025-12-04T09:42:00.0442775Z Finished dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:42:00.043572][5666.6955445], took 0.05min
2025-12-04T09:42:01.3399892Z 
2025-12-04T09:42:01.3401531Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_767527ebbac40f7a_.log
2025-12-04T09:42:01.3402955Z 
2025-12-04T09:42:01.3403634Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:42:01.339762][5667.991738031], took 0.11min
2025-12-04T09:42:02.9857253Z 
2025-12-04T09:42:02.9858864Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_d2b4252bd740abb5_.log
2025-12-04T09:42:02.9860241Z 
2025-12-04T09:42:02.9860817Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:42:02.985523][5669.637499057], took 0.13min
2025-12-04T09:42:03.0868691Z Running dynamo/test_model_output 1/1 ... [2025-12-04 09:42:03.086362][5669.738335738]
2025-12-04T09:42:03.0869422Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:03.0871519Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:03.086823]
2025-12-04T09:42:04.3262834Z Running dynamo/test_modules 1/1 ... [2025-12-04 09:42:04.325897][5670.977874285]
2025-12-04T09:42:04.3263426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:04.3266272Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:04.326292]
2025-12-04T09:42:05.9145370Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 09:42:05.914114][5672.566090982]
2025-12-04T09:42:05.9146236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:05.9148787Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:05.914537]
2025-12-04T09:42:06.1351502Z 
2025-12-04T09:42:06.1352996Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_9359352217a84672_.log
2025-12-04T09:42:06.1354313Z 
2025-12-04T09:42:06.1354879Z Finished dynamo/test_model_output 1/1 ... [2025-12-04 09:42:06.134812][5672.786789747], took 0.05min
2025-12-04T09:42:08.9862505Z 
2025-12-04T09:42:08.9863889Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_958fdecd4d7db18e_.log
2025-12-04T09:42:08.9865174Z 
2025-12-04T09:42:08.9865718Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 09:42:08.985988][5675.637965704], took 0.05min
2025-12-04T09:42:09.0666183Z Running dynamo/test_utils 1/1 ... [2025-12-04 09:42:09.066214][5675.718189889]
2025-12-04T09:42:09.0666695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:09.0669365Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:09.066643]
2025-12-04T09:42:11.2133138Z 
2025-12-04T09:42:11.2134034Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_cf9978cd52c372fe_.log
2025-12-04T09:42:11.2134749Z 
2025-12-04T09:42:11.2135030Z Finished dynamo/test_modules 1/1 ... [2025-12-04 09:42:11.213067][5677.865042381], took 0.11min
2025-12-04T09:42:11.9084609Z 
2025-12-04T09:42:11.9085982Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_a05f9feb8a382f2d_.log
2025-12-04T09:42:11.9087078Z 
2025-12-04T09:42:11.9087540Z Finished dynamo/test_utils 1/1 ... [2025-12-04 09:42:11.908198][5678.560173928], took 0.05min
2025-12-04T09:42:11.9573274Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:42:11.956899][5678.608875221]
2025-12-04T09:42:11.9574120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:11.9578135Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.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 09:42:11.957378]
2025-12-04T09:42:14.1915819Z Running dynamo/test_view 1/1 ... [2025-12-04 09:42:14.191157][5680.843132284]
2025-12-04T09:42:14.1916663Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:14.1919080Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_view.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 09:42:14.191573]
2025-12-04T09:42:14.8590643Z Running dynamo/test_subgraphs 1/1 ... [2025-12-04 09:42:14.858657][5681.510633108]
2025-12-04T09:42:14.8591188Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:14.8594623Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_subgraphs.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 09:42:14.859075]
2025-12-04T09:42:15.0099824Z 
2025-12-04T09:42:15.0101297Z dynamo/test_skip_guard_eval_unsafe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_ba1a1cccf5b0820d_.log
2025-12-04T09:42:15.0102192Z 
2025-12-04T09:42:15.0102539Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:42:15.009685][5681.661663493], took 0.05min
2025-12-04T09:42:17.0046052Z 
2025-12-04T09:42:17.0046997Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_c82506ca71bf0398_.log
2025-12-04T09:42:17.0047934Z 
2025-12-04T09:42:17.0048265Z Finished dynamo/test_view 1/1 ... [2025-12-04 09:42:17.004341][5683.656319375], took 0.05min
2025-12-04T09:42:17.8877308Z Running dynamo/test_pgo 1/1 ... [2025-12-04 09:42:17.887305][5684.539282561]
2025-12-04T09:42:17.8878124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:17.8880674Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_pgo.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 09:42:17.887698]
2025-12-04T09:42:17.9154553Z 
2025-12-04T09:42:17.9156114Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_fd9bbccd3df3d296_.log
2025-12-04T09:42:17.9157392Z 
2025-12-04T09:42:17.9157931Z Finished dynamo/test_subgraphs 1/1 ... [2025-12-04 09:42:17.915191][5684.567168839], took 0.05min
2025-12-04T09:42:19.9532926Z Running dynamo/test_nops 1/1 ... [2025-12-04 09:42:19.952789][5686.6047636]
2025-12-04T09:42:19.9533564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:19.9535243Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_nops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:19.953220]
2025-12-04T09:42:20.8514035Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 09:42:20.850920][5687.502895597]
2025-12-04T09:42:20.8515142Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:20.8517513Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_graph_region_tracker.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 09:42:20.851346]
2025-12-04T09:42:20.9655575Z 
2025-12-04T09:42:20.9656495Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_2434c500145ac2e8_.log
2025-12-04T09:42:20.9657165Z 
2025-12-04T09:42:20.9657480Z Finished dynamo/test_pgo 1/1 ... [2025-12-04 09:42:20.965348][5687.617322015], took 0.05min
2025-12-04T09:42:23.0063974Z 
2025-12-04T09:42:23.0065085Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_129af94d14df1e58_.log
2025-12-04T09:42:23.0066110Z 
2025-12-04T09:42:23.0066581Z Finished dynamo/test_nops 1/1 ... [2025-12-04 09:42:23.006145][5689.658119608], took 0.05min
2025-12-04T09:42:23.8904566Z 
2025-12-04T09:42:23.8905912Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_c801b819d0a50502_.log
2025-12-04T09:42:23.8907325Z 
2025-12-04T09:42:23.8907967Z Finished dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 09:42:23.890125][5690.542101499], took 0.05min
2025-12-04T09:42:23.9067345Z Running dynamo/test_install_free_tensors 1/1 ... [2025-12-04 09:42:23.906374][5690.558351201]
2025-12-04T09:42:23.9068209Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:23.9070586Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_install_free_tensors.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 09:42:23.906787]
2025-12-04T09:42:25.9597010Z Running dynamo/test_profiler 1/1 ... [2025-12-04 09:42:25.959311][5692.611288196]
2025-12-04T09:42:25.9597585Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:25.9600135Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:25.959711]
2025-12-04T09:42:26.8499164Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-12-04 09:42:26.849471][5693.501446379]
2025-12-04T09:42:26.8500222Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:26.8501936Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_nested_graph_breaks.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 09:42:26.849912]
2025-12-04T09:42:27.0201312Z 
2025-12-04T09:42:27.0202647Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_6a48f02eff875baf_.log
2025-12-04T09:42:27.0203436Z 
2025-12-04T09:42:27.0203793Z Finished dynamo/test_install_free_tensors 1/1 ... [2025-12-04 09:42:27.019930][5693.671904678], took 0.05min
2025-12-04T09:42:28.9530617Z 
2025-12-04T09:42:28.9532040Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_7f39b0c04e971348_.log
2025-12-04T09:42:28.9532823Z 
2025-12-04T09:42:28.9533116Z Finished dynamo/test_profiler 1/1 ... [2025-12-04 09:42:28.952860][5695.604834657], took 0.05min
2025-12-04T09:42:29.9212440Z 
2025-12-04T09:42:29.9214218Z dynamo/test_nested_graph_breaks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nested_graph_breaks_1.1_c7f0050f1f38bc1e_.log
2025-12-04T09:42:29.9215754Z 
2025-12-04T09:42:29.9216386Z Finished dynamo/test_nested_graph_breaks 1/1 ... [2025-12-04 09:42:29.920984][5696.572961816], took 0.05min
2025-12-04T09:42:29.9631328Z Running dynamo/test_deviceguard 1/1 ... [2025-12-04 09:42:29.962726][5696.614702903]
2025-12-04T09:42:29.9632164Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:29.9635606Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_deviceguard.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 09:42:29.963177]
2025-12-04T09:42:31.9328258Z Running dynamo/test_modes 1/1 ... [2025-12-04 09:42:31.932371][5698.58434806]
2025-12-04T09:42:31.9329306Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:31.9331191Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:31.932752]
2025-12-04T09:42:32.8839478Z Running dynamo/test_base_hop 1/1 ... [2025-12-04 09:42:32.883510][5699.535486187]
2025-12-04T09:42:32.8840238Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:32.8842250Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_base_hop.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 09:42:32.883904]
2025-12-04T09:42:33.0015406Z 
2025-12-04T09:42:33.0016509Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_a50902342161cf63_.log
2025-12-04T09:42:33.0017294Z 
2025-12-04T09:42:33.0017681Z Finished dynamo/test_deviceguard 1/1 ... [2025-12-04 09:42:33.001189][5699.653165246], took 0.05min
2025-12-04T09:42:35.9159014Z Running dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:42:35.915519][5702.567494197]
2025-12-04T09:42:35.9159581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:35.9163297Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_python_dispatcher.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 09:42:35.915986]
2025-12-04T09:42:35.9610796Z 
2025-12-04T09:42:35.9612144Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_0aa4d2e9de39ce13_.log
2025-12-04T09:42:35.9613032Z 
2025-12-04T09:42:35.9613353Z Finished dynamo/test_base_hop 1/1 ... [2025-12-04 09:42:35.960890][5702.612865898], took 0.05min
2025-12-04T09:42:38.7466813Z 
2025-12-04T09:42:38.7468012Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_219e8f140512efcd_.log
2025-12-04T09:42:38.7468975Z 
2025-12-04T09:42:38.7469382Z Finished dynamo/test_modes 1/1 ... [2025-12-04 09:42:38.746429][5705.398403938], took 0.11min
2025-12-04T09:42:38.9982382Z Running dynamo/test_callback 1/1 ... [2025-12-04 09:42:38.997770][5705.649746329]
2025-12-04T09:42:38.9983045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:38.9984807Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_callback.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 09:42:38.998205]
2025-12-04T09:42:39.0419505Z 
2025-12-04T09:42:39.0420876Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_de00756c5e080165_.log
2025-12-04T09:42:39.0421644Z 
2025-12-04T09:42:39.0421991Z Finished dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:42:39.041689][5705.693666073], took 0.05min
2025-12-04T09:42:41.6783047Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 09:42:41.677858][5708.329835959]
2025-12-04T09:42:41.6783754Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:41.6785350Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:41.678268]
2025-12-04T09:42:42.0501583Z Running dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:42:42.049709][5708.701686058]
2025-12-04T09:42:42.0502593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:42.0505034Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:42.050120]
2025-12-04T09:42:44.7207114Z 
2025-12-04T09:42:44.7208272Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_e256f03432d42465_.log
2025-12-04T09:42:44.7209129Z 
2025-12-04T09:42:44.7209426Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 09:42:44.720440][5711.372418324], took 0.05min
2025-12-04T09:42:45.1593550Z 
2025-12-04T09:42:45.1595452Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_9bfba335333a21f6_.log
2025-12-04T09:42:45.1596974Z 
2025-12-04T09:42:45.1597638Z Finished dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:42:45.159115][5711.811088011], took 0.05min
2025-12-04T09:42:45.7801997Z 
2025-12-04T09:42:45.7803500Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_2d2ae2b82d0f0d62_.log
2025-12-04T09:42:45.7804831Z 
2025-12-04T09:42:45.7805365Z Finished dynamo/test_callback 1/1 ... [2025-12-04 09:42:45.779924][5712.431901954], took 0.11min
2025-12-04T09:42:47.7256388Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:42:47.725216][5714.377191678]
2025-12-04T09:42:47.7257331Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:47.7260137Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:47.725651]
2025-12-04T09:42:48.2429150Z Running dynamo/test_torchrec 1/1 ... [2025-12-04 09:42:48.242451][5714.894427607]
2025-12-04T09:42:48.2430188Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:48.2432354Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_torchrec.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 09:42:48.242831]
2025-12-04T09:42:48.7615033Z Running dynamo/test_trace_rules 1/1 ... [2025-12-04 09:42:48.761102][5715.41307941]
2025-12-04T09:42:48.7615885Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:48.7618870Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:48.761535]
2025-12-04T09:42:50.7478433Z 
2025-12-04T09:42:50.7479483Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_bf0494526750129a_.log
2025-12-04T09:42:50.7480508Z 
2025-12-04T09:42:50.7480866Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:42:50.747596][5717.399570282], took 0.05min
2025-12-04T09:42:51.2506809Z 
2025-12-04T09:42:51.2508477Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_45bd2eea5b2ac9a8_.log
2025-12-04T09:42:51.2510022Z 
2025-12-04T09:42:51.2510714Z Finished dynamo/test_torchrec 1/1 ... [2025-12-04 09:42:51.250542][5717.90251717], took 0.05min
2025-12-04T09:42:51.6143175Z 
2025-12-04T09:42:51.6144962Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_7789177c72c2721d_.log
2025-12-04T09:42:51.6146540Z 
2025-12-04T09:42:51.6147183Z Finished dynamo/test_trace_rules 1/1 ... [2025-12-04 09:42:51.614053][5718.266030574], took 0.05min
2025-12-04T09:42:53.8078587Z Running dynamo/test_subclasses 1/1 ... [2025-12-04 09:42:53.807462][5720.459438392]
2025-12-04T09:42:53.8079521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:53.8082657Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_subclasses.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 09:42:53.807867]
2025-12-04T09:42:54.2629516Z Running dynamo/test_comptime 1/1 ... [2025-12-04 09:42:54.262557][5720.91453227]
2025-12-04T09:42:54.2630115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:54.2633641Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:54.262983]
2025-12-04T09:42:54.6207893Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:42:54.620368][5721.272343179]
2025-12-04T09:42:54.6208797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:54.6213352Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:42:54.621006]
2025-12-04T09:42:57.2772903Z 
2025-12-04T09:42:57.2774192Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_089e1b8d19d30a8b_.log
2025-12-04T09:42:57.2775131Z 
2025-12-04T09:42:57.2775429Z Finished dynamo/test_comptime 1/1 ... [2025-12-04 09:42:57.277070][5723.929044544], took 0.05min
2025-12-04T09:42:57.2824595Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-bf0edaf23f38c6f2.xml
2025-12-04T09:42:57.5562979Z 
2025-12-04T09:42:57.5564609Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_2aebeb5c0d031ddc_.log
2025-12-04T09:42:57.5565750Z Running 0 items in this shard:
2025-12-04T09:42:57.5565942Z 
2025-12-04T09:42:57.5566196Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:42:57.556164][5724.208139801], took 0.05min
2025-12-04T09:43:00.2678092Z Running xpu/test_gemm 1/1 ... [2025-12-04 09:43:00.267380][5726.919354738]
2025-12-04T09:43:00.2678931Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:00.2682198Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'xpu/test_gemm.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 09:43:00.267855]
2025-12-04T09:43:00.5758342Z Running functorch/test_ac 1/1 ... [2025-12-04 09:43:00.575434][5727.227411056]
2025-12-04T09:43:00.5758928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:00.5760763Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:43:00.575815]
2025-12-04T09:43:00.6166081Z 
2025-12-04T09:43:00.6167376Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_763bb8c3cd5bdbaa_.log
2025-12-04T09:43:00.6168140Z 
2025-12-04T09:43:00.6168452Z Finished dynamo/test_subclasses 1/1 ... [2025-12-04 09:43:00.616370][5727.268348701], took 0.11min
2025-12-04T09:43:03.5123883Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 09:43:03.511999][5730.163975151]
2025-12-04T09:43:03.5124486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:03.5127229Z Executing ['/opt/conda/envs/py_3.14/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 09:43:03.512409]
2025-12-04T09:43:03.5200560Z 
2025-12-04T09:43:03.5201713Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_5f7d43b058e1a808_.log
2025-12-04T09:43:03.5202767Z Running 0 items in this shard:
2025-12-04T09:43:03.5203074Z 
2025-12-04T09:43:03.5203454Z Finished xpu/test_gemm 1/1 ... [2025-12-04 09:43:03.520016][5730.171993175], took 0.05min
2025-12-04T09:43:03.5284604Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-28327e1ed7ead3e6.xml
2025-12-04T09:43:06.4602549Z 
2025-12-04T09:43:06.4604241Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_8214fcbd775418c4_.log
2025-12-04T09:43:06.4605698Z Running 0 items in this shard:
2025-12-04T09:43:06.4606029Z 
2025-12-04T09:43:06.4606527Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 09:43:06.460166][5733.112140531], took 0.05min
2025-12-04T09:43:06.4678729Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-fec204d904ca8cd8.xml
2025-12-04T09:43:06.4951938Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:43:06.494781][5733.146758017]
2025-12-04T09:43:06.4953257Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:06.4955843Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.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 09:43:06.495202]
2025-12-04T09:43:07.3977926Z 
2025-12-04T09:43:07.3979372Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_0e288657b2ed6fff_.log
2025-12-04T09:43:07.3980748Z 
2025-12-04T09:43:07.3981234Z Finished functorch/test_ac 1/1 ... [2025-12-04 09:43:07.397543][5734.049517168], took 0.11min
2025-12-04T09:43:09.4520570Z 
2025-12-04T09:43:09.4522821Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_2966e840a342d8bb_.log
2025-12-04T09:43:09.4525195Z Running 0 items in this shard:
2025-12-04T09:43:09.4525558Z 
2025-12-04T09:43:09.4526562Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:43:09.451475][5736.103452862], took 0.05min
2025-12-04T09:43:09.4570432Z Running optim/test_optim 1/1 ... [2025-12-04 09:43:09.456745][5736.1087232]
2025-12-04T09:43:09.4571202Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:09.4575449Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'optim/test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:43:09.457165]
2025-12-04T09:43:09.4579140Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.python_agnostic_extension.test.test_python_agnostic/cpp_extensions.python_agnostic_extension.test.test_python_agnostic-6cf170be5c3ab484.xml
2025-12-04T09:43:10.3906126Z Running functorch/test_vmap 3/5 ... [2025-12-04 09:43:10.390126][5737.042103299]
2025-12-04T09:43:10.3907094Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:10.3909149Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'not serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:43:10.390518]
2025-12-04T09:43:12.2240460Z 
2025-12-04T09:43:12.2241966Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_3b5efb4a97579490_.log
2025-12-04T09:43:12.2243108Z 
2025-12-04T09:43:12.2243537Z Finished optim/test_optim 1/1 ... [2025-12-04 09:43:12.223848][5738.87582459], took 0.05min
2025-12-04T09:43:12.4587588Z Running test_xnnpack_integration 1/1 ... [2025-12-04 09:43:12.458362][5739.110337839]
2025-12-04T09:43:12.4588358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:12.4591197Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:43:12.458754]
2025-12-04T09:43:15.1328540Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:43:15.132440][5741.784416036]
2025-12-04T09:43:15.1329770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:15.1332377Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:43:15.132894]
2025-12-04T09:43:20.0147793Z 
2025-12-04T09:43:20.0150317Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_ce94893f4a54cbba_.log
2025-12-04T09:43:20.0182974Z Running 34 items in this shard: test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_loses1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_loses2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_both_abstract, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_nondtype_nonscalartype, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_same, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_sibling_class, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_subclass, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_subclass_backwards, test/torch_np/numpy_tests/core/test_numerictypes.py::TestBitName::test_abstract, test/torch_np/numpy_tests/core/test_numerictypes.py::TestDocStrings::test_platform_dependent_aliases, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t0, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t4, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t5, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t6, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t7, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t8, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t9, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_unique, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t0, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t4, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t5, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t6, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t7, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t8, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t9
2025-12-04T09:43:20.0213885Z 
2025-12-04T09:43:20.0214628Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:43:20.015061][5746.667036389], took 0.08min
2025-12-04T09:43:20.0304543Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-725b9cdef77e4029.xml
2025-12-04T09:43:23.2089574Z Running test_function_schema 1/1 ... [2025-12-04 09:43:23.208546][5749.860522485]
2025-12-04T09:43:23.2090135Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:23.2093078Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_function_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:43:23.209003]
2025-12-04T09:43:28.7488261Z 
2025-12-04T09:43:28.7489694Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_6ec8cd9367971fee_.log
2025-12-04T09:43:28.7501968Z Running 15 items in this shard: test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_arguments, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_outputs, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_structure, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_with_smart_serialization, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_real_use_case, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_with_out, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_without_out, test/test_function_schema.py::TestFunctionSchema::test_hash_schema, test/test_function_schema.py::TestFunctionSchema::test_out_schema, test/test_function_schema.py::TestFunctionSchema::test_schema_error, test/test_function_schema.py::TestFunctionSchema::test_serialize_and_deserialize, test/test_function_schema.py::TestFunctionSchema::test_string_optional_parameter_default_value, test/test_function_schema.py::TestFunctionSchema::test_sym_int_argument_properly_parsed, test/test_function_schema.py::TestFunctionSchema::test_tensor_list_alias_annotation_properly_parsed, test/test_function_schema.py::TestFunctionSchema::test_tensor_option_arguments_properly_parsed
2025-12-04T09:43:28.7512665Z 
2025-12-04T09:43:28.7513198Z Finished test_function_schema 1/1 ... [2025-12-04 09:43:28.748744][5755.400718947], took 0.09min
2025-12-04T09:43:28.7557193Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-8def2224feb5458c.xml
2025-12-04T09:43:31.7702176Z Running test_accelerator 1/1 ... [2025-12-04 09:43:31.769807][5758.421783729]
2025-12-04T09:43:31.7703094Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:31.7704881Z Executing ['/opt/conda/envs/py_3.14/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 09:43:31.770196]
2025-12-04T09:43:34.9851055Z 
2025-12-04T09:43:34.9852445Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_dda7c02573398c53_.log
2025-12-04T09:43:34.9853672Z 
2025-12-04T09:43:34.9854193Z Finished test_accelerator 1/1 ... [2025-12-04 09:43:34.984977][5761.636949795], took 0.05min
2025-12-04T09:43:37.9669973Z Running nn/test_init 1/1 ... [2025-12-04 09:43:37.966589][5764.618565261]
2025-12-04T09:43:37.9671086Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:37.9673477Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'nn/test_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:43:37.967031]
2025-12-04T09:43:47.2667982Z 
2025-12-04T09:43:47.2669107Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_d0d8796a371e029c_.log
2025-12-04T09:43:47.2683581Z Running 30 items in this shard: test/nn/test_init.py::TestNNInit::test_calculate_gain_leaky_relu, test/nn/test_init.py::TestNNInit::test_calculate_gain_leaky_relu_only_accepts_numbers, test/nn/test_init.py::TestNNInit::test_calculate_gain_linear, test/nn/test_init.py::TestNNInit::test_calculate_gain_nonlinear, test/nn/test_init.py::TestNNInit::test_calculate_gain_only_accepts_valid_nonlinearities, test/nn/test_init.py::TestNNInit::test_constant, test/nn/test_init.py::TestNNInit::test_deprecation, test/nn/test_init.py::TestNNInit::test_dirac_identity, test/nn/test_init.py::TestNNInit::test_dirac_only_works_on_3_4_5d_inputs, test/nn/test_init.py::TestNNInit::test_dirac_properties, test/nn/test_init.py::TestNNInit::test_eye, test/nn/test_init.py::TestNNInit::test_eye_only_works_on_2d_inputs, test/nn/test_init.py::TestNNInit::test_kaiming_normal, test/nn/test_init.py::TestNNInit::test_kaiming_normal_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_kaiming_normal_warning_on_0element_tensor, test/nn/test_init.py::TestNNInit::test_kaiming_uniform, test/nn/test_init.py::TestNNInit::test_kaiming_uniform_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_kaiming_uniform_warning_on_0element_tensor, test/nn/test_init.py::TestNNInit::test_normal, test/nn/test_init.py::TestNNInit::test_ones_and_zeros, test/nn/test_init.py::TestNNInit::test_orthogonal, test/nn/test_init.py::TestNNInit::test_sparse_default_std, test/nn/test_init.py::TestNNInit::test_sparse_only_works_on_2d_inputs, test/nn/test_init.py::TestNNInit::test_trunc_normal, test/nn/test_init.py::TestNNInit::test_trunc_normal_generator, test/nn/test_init.py::TestNNInit::test_uniform, test/nn/test_init.py::TestNNInit::test_xavier_normal, test/nn/test_init.py::TestNNInit::test_xavier_normal_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_xavier_uniform, test/nn/test_init.py::TestNNInit::test_xavier_uniform_errors_on_inputs_smaller_than_2d
2025-12-04T09:43:47.2700098Z 
2025-12-04T09:43:47.2703605Z Finished nn/test_init 1/1 ... [2025-12-04 09:43:47.266549][5773.918523515], took 0.15min
2025-12-04T09:43:47.2809784Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-11b60768ca39d36e.xml
2025-12-04T09:43:50.2788594Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:43:50.278392][5776.930368764]
2025-12-04T09:43:50.2789708Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:50.2791884Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.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 09:43:50.278815]
2025-12-04T09:43:50.5889210Z 
2025-12-04T09:43:50.5890677Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_c12cdcdbbd22347a_.log
2025-12-04T09:43:50.5896176Z Running 12 items in this shard: test/test_xnnpack_integration.py::TestXNNPACKOps::test_conv2d, test/test_xnnpack_integration.py::TestXNNPACKOps::test_conv2d_transpose, test/test_xnnpack_integration.py::TestXNNPACKOps::test_linear, test/test_xnnpack_integration.py::TestXNNPACKOps::test_linear_1d_input, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_combined_model, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_conv2d, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_conv2d_transpose, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_linear, test/test_xnnpack_integration.py::TestXNNPACKRewritePass::test_decomposed_linear, test/test_xnnpack_integration.py::TestXNNPACKRewritePass::test_linear, test/test_xnnpack_integration.py::TestXNNPACKConv1dTransformPass::test_conv1d_basic, test/test_xnnpack_integration.py::TestXNNPACKConv1dTransformPass::test_conv1d_with_relu_fc
2025-12-04T09:43:50.5900176Z 
2025-12-04T09:43:50.5900500Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 09:43:50.588813][5777.240788434], took 0.64min
2025-12-04T09:43:50.5979928Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-fd89c54ff0255497.xml
2025-12-04T09:43:53.3477938Z 
2025-12-04T09:43:53.3479716Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_e821c06589a7de59_.log
2025-12-04T09:43:53.3520997Z Running 96 items in this shard: test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_against_known_values, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_errors_ftype0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_errors_ftype1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_errors_ftype2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_roundtrip_ftype0_frac_vals0_exp_vals0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_roundtrip_ftype1_frac_vals1_exp_vals1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_roundtrip_ftype2_frac_vals2_exp_vals2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_simple_fractions_ftype0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_simple_fractions_ftype1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_simple_fractions_ftype2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_-0_875_ratio1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_0_0_ratio2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_0_875_ratio0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_11_5_ratio3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_-0_875_ratio1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_0_0_ratio2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_0_875_ratio0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_11_5_ratio3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_-0_875_ratio1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_0_0_ratio2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_0_875_ratio0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_11_5_ratio3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_b, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_h, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_i, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_l, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_inf_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_inf_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_inf_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_inf_code_g, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_nan_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_nan_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_nan_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_nan_code_g, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_B, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_b, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_h, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_i, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_l, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls4, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls5, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_non_numeric_cls0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_?, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_B, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_D, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_F, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_G, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_H, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_I, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_L, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_M, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_N, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_O, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_P, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_Q, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_S, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_U, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_V, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_b, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_g, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_h, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_i, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_l, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_m, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_n, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_p, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_q, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_scalar, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_bit_count, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype4, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype5, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype6, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype7
2025-12-04T09:43:53.3560398Z 
2025-12-04T09:43:53.3560792Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:43:53.347853][5779.99982758], took 0.05min
2025-12-04T09:43:53.3575993Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-d289934cd8074d09.xml
2025-12-04T09:43:53.4566062Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:43:53.456190][5780.108165556]
2025-12-04T09:43:53.4566660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:53.4569967Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.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 09:43:53.456669]
2025-12-04T09:43:56.2539959Z Running torch_np/test_function_base 1/1 ... [2025-12-04 09:43:56.253554][5782.905528549]
2025-12-04T09:43:56.2540979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:56.2543301Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:43:56.254004]
2025-12-04T09:43:58.4799038Z 
2025-12-04T09:43:58.4801656Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_fb3069215ea8d7f0_.log
2025-12-04T09:43:58.4808490Z Running 8 items in this shard: test/torch_np/numpy_tests/fft/test_helper.py::TestFFTShift::test_axes_keyword, test/torch_np/numpy_tests/fft/test_helper.py::TestFFTShift::test_definition, test/torch_np/numpy_tests/fft/test_helper.py::TestFFTShift::test_equal_to_original, test/torch_np/numpy_tests/fft/test_helper.py::TestFFTShift::test_inverse, test/torch_np/numpy_tests/fft/test_helper.py::TestFFTShift::test_uneven_dims, test/torch_np/numpy_tests/fft/test_helper.py::TestFFTFreq::test_definition, test/torch_np/numpy_tests/fft/test_helper.py::TestRFFTFreq::test_definition, test/torch_np/numpy_tests/fft/test_helper.py::TestIRFFTN::test_not_last_axis_success
2025-12-04T09:43:58.4813923Z 
2025-12-04T09:43:58.4816645Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:43:58.479855][5785.131830714], took 0.08min
2025-12-04T09:43:58.4864269Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-a846bd96b205147a.xml
2025-12-04T09:43:59.8745767Z 
2025-12-04T09:43:59.8747407Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_8d5e6718fc42afa8_.log
2025-12-04T09:43:59.8748766Z Running 2 items in this shard: test/torch_np/test_function_base.py::TestAppend::test_basic, test/torch_np/test_function_base.py::TestMisc::test_broadcast_shapes
2025-12-04T09:43:59.8749469Z 
2025-12-04T09:43:59.8749898Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 09:43:59.874471][5786.526446076], took 0.06min
2025-12-04T09:43:59.8810606Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-9bfb045380c332af.xml
2025-12-04T09:44:01.4177755Z Running test_type_promotion 1/1 ... [2025-12-04 09:44:01.417299][5788.069275343]
2025-12-04T09:44:01.4178632Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:01.4180797Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:44:01.417709]
2025-12-04T09:44:02.7797468Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:44:02.779375][5789.431352788]
2025-12-04T09:44:02.7798017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:02.7800836Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:44:02.779794]
2025-12-04T09:44:09.2533165Z 
2025-12-04T09:44:09.2534572Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_9eb9acdd3b6354e9_.log
2025-12-04T09:44:09.2547925Z Running 33 items in this shard: test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_scalar_comparisons, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value0, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value1, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value10, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value11, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value4, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value5, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value6, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value7, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value8, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value9, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_s, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_string, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_0D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_1D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_2D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_float32, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_int, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list-list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_literal
2025-12-04T09:44:09.2559514Z 
2025-12-04T09:44:09.2559860Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:44:09.253264][5795.905241786], took 0.11min
2025-12-04T09:44:09.2647534Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-87cbdefc6ca43a85.xml
2025-12-04T09:44:12.1641431Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 09:44:12.163727][5798.815704719]
2025-12-04T09:44:12.1642341Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:12.1645450Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:44:12.164171]
2025-12-04T09:44:17.3875623Z 
2025-12-04T09:44:17.3876666Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_64b7f4b4d4dd92fb_.log
2025-12-04T09:44:17.3883605Z Running 10 items in this shard: test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_detailed, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_with_stream, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory_and_stack, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_record_function, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_modules, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_dispatch, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_function
2025-12-04T09:44:17.3894952Z 
2025-12-04T09:44:17.3895997Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 09:44:17.389381][5804.041352636], took 0.09min
2025-12-04T09:44:17.3967509Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-3166f59caf9f9614.xml
2025-12-04T09:44:20.2547922Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:44:20.254334][5806.906309842]
2025-12-04T09:44:20.2548920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:20.2551615Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:44:20.254784]
2025-12-04T09:44:24.8257466Z 
2025-12-04T09:44:24.8259259Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_0b8373a9cd062750_.log
2025-12-04T09:44:24.8308333Z Running 62 items in this shard: test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary0_prepend0_append_nan_expected_to_end, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary1_prepend1_append1_expected_to_begin, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary2_prepend_nan_append_nan_expected_to_begin, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary0_prepend_65536_append_65540_expected0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary1_prepend1_append1_expected1, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary2_prepend_0_append_0_expected2, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary3_prepend_3_append_-9_expected3, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_both_arrays_are_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_both_arrays_have_structured_dtype, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_char_array, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_errors, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_first_array_is_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_hit_alternate_algorithm, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_second_array_is_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_table_timedelta_fails, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_timedelta_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_timedelta_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_with_arrays_containing_tuples, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d_array_like, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d_indices, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_manyways, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d_char_array, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d_unique, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setxor1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_union1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_2, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_with_axis_axis_-1, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_with_axis_axis_0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_errors, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_list, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_zeros, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_nanequals, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_sort_order_with_axis
2025-12-04T09:44:24.8354507Z 
2025-12-04T09:44:24.8355394Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:44:24.825702][5811.47767952], took 0.08min
2025-12-04T09:44:24.8357851Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-e6738d47f55234ee.xml
2025-12-04T09:44:27.7005987Z Running test_dlpack 1/1 ... [2025-12-04 09:44:27.700150][5814.352128266]
2025-12-04T09:44:27.7006898Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:27.7009588Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:44:27.700562]
2025-12-04T09:44:58.4580975Z 
2025-12-04T09:44:58.4582607Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_1b74e6d1d31b752f_.log
2025-12-04T09:44:58.4690020Z Running 154 items in this shard: test/test_dlpack.py::TestTorchDlPackCPU::test_automatically_select_in_creation_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_copy_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_narrow_precision_cpu_float4_e2m1fn_x2, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_narrow_precision_cpu_float8_e4m3fn, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_narrow_precision_cpu_float8_e4m3fnuz, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_narrow_precision_cpu_float8_e5m2, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_narrow_precision_cpu_float8_e5m2fnuz, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_narrow_precision_cpu_float8_e8m0fnu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_narrow_precision_cpu_float4_e2m1fn_x2, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_narrow_precision_cpu_float8_e4m3fn, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_narrow_precision_cpu_float8_e4m3fnuz, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_narrow_precision_cpu_float8_e5m2, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_narrow_precision_cpu_float8_e5m2fnuz, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_narrow_precision_cpu_float8_e8m0fnu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_convert_default_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_cuda_per_thread_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_default_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_is_conj_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_non_strided_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_requires_grad_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_invalid_cpu_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_invalid_cuda_streams_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_invalid_rocm_streams_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_normalize_strides_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_shared_storage_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_on_different_device_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_unsupported_dtype_error_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_max_version_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_needs_copy_error_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_no_copy_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_unsupported_device_error_cpu
2025-12-04T09:44:58.4781912Z 
2025-12-04T09:44:58.4782198Z Finished test_dlpack 1/1 ... [2025-12-04 09:44:58.458258][5845.110231441], took 0.51min
2025-12-04T09:44:58.4783140Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-758fe3d16fc173cf.xml
2025-12-04T09:45:01.3750851Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 09:45:01.374675][5848.026649934]
2025-12-04T09:45:01.3751673Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:01.3755319Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:45:01.375154]
2025-12-04T09:46:21.8077203Z 
2025-12-04T09:46:21.8078787Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_7c4517deec1ca34b_.log
2025-12-04T09:46:21.8096368Z Running 22 items in this shard: test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_id_uniqueness, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_ids_with_other_ops, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocations, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_extra_fields, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_impl_reuse, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_mkldnn_tensors, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_nnmodule_params, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer_parameters_adam, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer_parameters_sgd, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_pointers_and_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_refcounts, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_scalar_ins, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_sparse_tensors, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensor_lists, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensor_properties, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_full, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_keep_alive, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_scalar_args, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_set
2025-12-04T09:46:21.8119683Z 
2025-12-04T09:46:21.8134542Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 09:46:21.809841][5928.461815251], took 1.34min
2025-12-04T09:46:21.8385182Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-6482703e704c9fd7.xml
2025-12-04T09:46:27.0429702Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 09:46:27.042479][5933.694456476]
2025-12-04T09:46:27.0430474Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:27.0432012Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:46:27.042855]
2025-12-04T09:46:30.4220129Z 
2025-12-04T09:46:30.4221554Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_67a610e20fd50f36_.log
2025-12-04T09:46:30.4556562Z Running 423 items in this shard: test/test_type_promotion.py::TestTypePromotionCPU::test_add_wrapped_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alpha_mismatch_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alternate_result_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_bfloat16_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_booleans_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_can_cast_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_out_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_comparison_ops_with_type_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_assertraises_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_half_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_scalar_mult_tensor_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_computation_ignores_out_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_create_bool_tensors_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_float_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_from_issue_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_half_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_indexing_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_indexing_fail_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_inplace_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_int_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_int_to_float_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_integer_addcdiv_deprecated_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_integer_addcdiv_deprecated_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_integer_addcdiv_deprecated_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_integer_addcdiv_deprecated_cpu_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_integer_addcdiv_deprecated_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_lt_with_type_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_many_promotions_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_mixed_type_backward_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_non_promoting_ops_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_int8, 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test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_tensor_vs_scalar_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_add_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_mul_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_sub_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_ternary_out_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_transpose_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unsigned_cpu
2025-12-04T09:46:30.4886541Z 
2025-12-04T09:46:30.4886857Z Finished test_type_promotion 1/1 ... [2025-12-04 09:46:30.423038][5937.075012582], took 2.48min
2025-12-04T09:46:30.4888145Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-e3e1233d7c8dad4b.xml
2025-12-04T09:46:31.7160800Z 
2025-12-04T09:46:31.7162026Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_86e1ebbe5a4b8c81_.log
2025-12-04T09:46:31.7164957Z Running 4 items in this shard: test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAdd, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSub, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSubFallback, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testBatchNorm
2025-12-04T09:46:31.7166990Z 
2025-12-04T09:46:31.7167415Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 09:46:31.715932][5938.367908279], took 0.08min
2025-12-04T09:46:31.7300723Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-de150296ee040c82.xml
2025-12-04T09:46:33.4685588Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:46:33.468211][5940.120188492]
2025-12-04T09:46:33.4686205Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:33.4689125Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:46:33.468603]
2025-12-04T09:46:34.6476533Z Running torch_np/test_reductions 1/1 ... [2025-12-04 09:46:34.647235][5941.299212891]
2025-12-04T09:46:34.6477400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:34.6479797Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:46:34.647642]
2025-12-04T09:47:17.3577119Z 
2025-12-04T09:47:17.3578542Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_84e1bb9d4c0c0504_.log
2025-12-04T09:47:17.3581386Z Running 2 items in this shard: test/test_functional_autograd_benchmark.py::TestFunctionalAutogradBenchmark::test_fast_tasks, test/test_functional_autograd_benchmark.py::TestFunctionalAutogradBenchmark::test_slow_tasks
2025-12-04T09:47:17.3582453Z 
2025-12-04T09:47:17.3582876Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:47:17.357573][5984.009548179], took 0.73min
2025-12-04T09:47:17.3727121Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-fbeddf2db3c3a184.xml
2025-12-04T09:47:20.2988741Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:47:20.298473][5986.95044955]
2025-12-04T09:47:20.2989415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:20.2993206Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:47:20.298905]
2025-12-04T09:47:29.1768114Z 
2025-12-04T09:47:29.1770088Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_083049791d0068a5_.log
2025-12-04T09:47:29.1820547Z Running 65 items in this shard: test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_bool, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_floating, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_floating_overflow, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromInt::test_intp, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromInt::test_uint64_from_negative, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t23, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t23, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t23
2025-12-04T09:47:29.1869346Z 
2025-12-04T09:47:29.1870123Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:47:29.176610][5995.828587054], took 0.15min
2025-12-04T09:47:29.1872593Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-38e2130c7e029d1d.xml
2025-12-04T09:47:32.0511582Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:47:32.050726][5998.702703237]
2025-12-04T09:47:32.0512273Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:32.0515059Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:47:32.051152]
2025-12-04T09:47:36.3729328Z 
2025-12-04T09:47:36.3731137Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_3a9d7e4cd8eccc7c_.log
2025-12-04T09:47:36.3735763Z Running 9 items in this shard: test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float2, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float3, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_odd_pad_amount, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_pad_2d, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_zeros, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_large_integers, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_pad_empty_dimension
2025-12-04T09:47:36.3739657Z 
2025-12-04T09:47:36.3740083Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:47:36.372807][6003.024783693], took 0.07min
2025-12-04T09:47:36.3880588Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-ef85eb6729286fbb.xml
2025-12-04T09:47:39.2484264Z Running test_prims 1/1 ... [2025-12-04 09:47:39.247990][6005.899965167]
2025-12-04T09:47:39.2485098Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:39.2488646Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_prims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:47:39.248495]
2025-12-04T09:47:48.3776556Z 
2025-12-04T09:47:48.3777751Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_046b54680551fbda_.log
2025-12-04T09:47:48.3786792Z Running 26 items in this shard: test/test_prims.py::TestPrimsBasic::test_check_deprecation_warning, test/test_prims.py::TestPrimsBasic::test_clone_complex, test/test_prims.py::TestPrimsBasic::test_clone_meta_stride_preservation_dense, test/test_prims.py::TestPrimsBasic::test_clone_meta_stride_preservation_sparse, test/test_prims.py::TestPrimsBasic::test_mul_complex, test/test_prims.py::TestPrimsBasic::test_torch_ops, test/test_prims.py::TestPrimsCPU::test_aten_overload_to_prims_cpu, test/test_prims.py::TestPrimsCPU::test_broadcast_in_dim_cpu_float32, test/test_prims.py::TestPrimsCPU::test_broadcast_in_dim_sum_cpu_float32, test/test_prims.py::TestPrimsCPU::test_cbrt_prim_cpu_float64, test/test_prims.py::TestPrimsCPU::test_cbrt_prim_cpu_int64, test/test_prims.py::TestPrimsCPU::test_collapse_cpu_float32, test/test_prims.py::TestPrimsCPU::test_functional_rng_wrappers_cpu_float32, test/test_prims.py::TestPrimsCPU::test_memory_format_strides_cpu_float32, test/test_prims.py::TestPrimsCPU::test_philox_rand_cpu_float32, test/test_prims.py::TestPrimsCPU::test_reshape_view_method_cpu_float32, test/test_prims.py::TestPrimsCPU::test_var_correction_0_cpu_float32, test/test_prims.py::TestPrimsCPU::test_var_correction_1_cpu_float32, test/test_prims.py::TestRefsCPU::test_constant_pad_nd_memory_format_cpu_float32, test/test_prims.py::TestRefsCPU::test_inferred_tags_cpu, test/test_prims.py::TestRefsCPU::test_infinite_loop_from_py_dispatcher_cpu, test/test_prims.py::TestRefsCPU::test_linspace_with_complex_input_cpu, test/test_prims.py::TestRefsCPU::test_logspace_with_complex_input_cpu, test/test_prims.py::TestRefsCPU::test_unbind_cpu, test/test_prims.py::TestDecompCPU::test_decomposition_method_vararg_ones_cpu_float32, test/test_prims.py::TestDecompCPU::test_decomposition_method_vararg_permute_cpu_float32
2025-12-04T09:47:48.3795048Z 
2025-12-04T09:47:48.3795290Z Finished test_prims 1/1 ... [2025-12-04 09:47:48.377529][6015.029504621], took 0.15min
2025-12-04T09:47:48.3928214Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-8249242e2df247a0.xml
2025-12-04T09:47:51.2687000Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 09:47:51.268277][6017.920254121]
2025-12-04T09:47:51.2687807Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:51.2689657Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:47:51.268660]
2025-12-04T09:47:58.2425885Z 
2025-12-04T09:47:58.2427083Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_8eca2354dadd3ff0_.log
2025-12-04T09:47:58.2429135Z Running 3 items in this shard: test/profiler/test_python_tracer.py::TestPythonTracer::test_method_with_c_function, test/profiler/test_python_tracer.py::TestPythonTracer::test_monitoring_callback, test/profiler/test_python_tracer.py::TestPythonTracer::test_unexpected_c_return_events
2025-12-04T09:47:58.2430922Z 
2025-12-04T09:47:58.2431263Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 09:47:58.242456][6024.89443231], took 0.12min
2025-12-04T09:47:58.2573990Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-833c2fa18310e42b.xml
2025-12-04T09:48:01.0828753Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:48:01.082399][6027.734376788]
2025-12-04T09:48:01.0829711Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:01.0831717Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.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 09:48:01.082816]
2025-12-04T09:48:16.5761464Z 
2025-12-04T09:48:16.5763049Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_e764cf758905388d_.log
2025-12-04T09:48:16.6278551Z Running 966 items in this shard: test/torch_np/test_reductions.py::TestFlatnonzero::test_basic, test/torch_np/test_reductions.py::TestAny::test_basic, test/torch_np/test_reductions.py::TestAny::test_method_vs_function, test/torch_np/test_reductions.py::TestAny::test_nd, test/torch_np/test_reductions.py::TestAll::test_basic, test/torch_np/test_reductions.py::TestAll::test_method_vs_function, test/torch_np/test_reductions.py::TestAll::test_nd, test/torch_np/test_reductions.py::TestMean::test_mean, test/torch_np/test_reductions.py::TestMean::test_mean_float16, test/torch_np/test_reductions.py::TestMean::test_mean_values, test/torch_np/test_reductions.py::TestMean::test_mean_where, test/torch_np/test_reductions.py::TestSum::test_sum, test/torch_np/test_reductions.py::TestSum::test_sum_boolean, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt1, test/torch_np/test_reductions.py::TestSum::test_sum_complex_2_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_2_dt1, test/torch_np/test_reductions.py::TestSum::test_sum_dtypes_2, test/torch_np/test_reductions.py::TestSum::test_sum_dtypes_warnings, test/torch_np/test_reductions.py::TestSum::test_sum_initial, test/torch_np/test_reductions.py::TestSum::test_sum_stability, test/torch_np/test_reductions.py::TestSum::test_sum_where, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func3, 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test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func9, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func1
2025-12-04T09:48:16.6691397Z 
2025-12-04T09:48:16.6691746Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 09:48:16.578294][6043.230266673], took 1.70min
2025-12-04T09:48:16.6692857Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-900701ae5a15a6ba.xml
2025-12-04T09:48:19.5692239Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 09:48:19.568797][6046.220774168]
2025-12-04T09:48:19.5693281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:19.5695466Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_torchfuzz_repros.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 09:48:19.569207]
2025-12-04T09:48:20.2275754Z 
2025-12-04T09:48:20.2278277Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_24df8aa04c65379d_.log
2025-12-04T09:48:20.2314739Z Running 23 items in this shard: test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_get_any_data_ptr_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_get_template_any_data_ptr_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_make_tensor_clones_and_call_foreach_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_mv_tensor_accessor_cpu_works_with_2_9, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_mv_tensor_accessor_cuda_works_with_2_9, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_my__foreach_mul__requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_my__foreach_mul_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_my_empty_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_my_reshape_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_my_shape_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_my_string_op_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_my_view_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_cublas_handle_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_cuda_stream_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_device_constructor_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_device_equality_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_device_index_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_device_is_cpu_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_device_is_cuda_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_device_set_index_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_get_num_threads_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_parallel_for_requires_2_10, test/cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py::FunctionVersionCompatibilityTest::test_test_tensor_device_requires_2_10
2025-12-04T09:48:20.2346944Z 
2025-12-04T09:48:20.2347999Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:48:20.227468][6046.879444491], took 0.32min
2025-12-04T09:48:20.2372876Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-14dc3fb2e9105d48.xml
2025-12-04T09:48:29.8985782Z 
2025-12-04T09:48:29.8987083Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_72a2701023e4243d_.log
2025-12-04T09:48:29.8994922Z Running 11 items in this shard: test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_163877, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_163894, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164059, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164088, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164157, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164185, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164186, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164428_already_exists, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164484, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164486, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937
2025-12-04T09:48:29.9002267Z 
2025-12-04T09:48:29.9002866Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 09:48:29.898477][6056.550452568], took 0.17min
2025-12-04T09:48:29.9077351Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-e6132ac55ed06f20.xml
2025-12-04T09:49:54.9031502Z 
2025-12-04T09:49:54.9032444Z functorch/test_vmap 3/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_3.5_7b09100f63b4ab0a_.log
2025-12-04T09:49:54.9386109Z Running 425 items in this shard: test/functorch/test_vmap.py::TestVmapAPI::test_accepts_nested_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_constant_function, test/functorch/test_vmap.py::TestVmapAPI::test_data_attribute, test/functorch/test_vmap.py::TestVmapAPI::test_different_map_dim_size_raises, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warns_when_warnings_are_enabled, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_zero_dim, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_different_levels, test/functorch/test_vmap.py::TestVmapAPI::test_item_throws, test/functorch/test_vmap.py::TestVmapAPI::test_nested_non_default_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_different_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_nn_module, test/functorch/test_vmap.py::TestVmapAPI::test_non_tensor_output_raises, test/functorch/test_vmap.py::TestVmapAPI::test_out_dim_out_of_bounds_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_edge_case, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_none, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns, test/functorch/test_vmap.py::TestVmapOperators::test_T_numpy, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_sub, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_sub_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_bmm, test/functorch/test_vmap.py::TestVmapOperators::test_cat, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_min_, test/functorch/test_vmap.py::TestVmapOperators::test_clone, test/functorch/test_vmap.py::TestVmapOperators::test_comparison_ops, test/functorch/test_vmap.py::TestVmapOperators::test_diagonal, test/functorch/test_vmap.py::TestVmapOperators::test_is_complex, test/functorch/test_vmap.py::TestVmapOperators::test_is_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_mv, test/functorch/test_vmap.py::TestVmapOperators::test_real, test/functorch/test_vmap.py::TestVmapOperators::test_reshape_as, test/functorch/test_vmap.py::TestVmapOperators::test_slice, test/functorch/test_vmap.py::TestVmapOperators::test_sum_dim, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_relu, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sign, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_tan, test/functorch/test_vmap.py::TestVmapOperators::test_unsqueeze, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_1_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_2_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_2_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_isinf_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_namedtuple_returns_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_nested_advanced_indexing_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_H_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_SelectGenVmapAutogradFunction_cpu_float32, 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test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_put_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_qr_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_quantile_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_rand_like_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_randint_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_randn_like_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_ravel_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_reciprocal_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_resolve_conj_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_scatter_reduce_mean_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_select_scatter_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_sigmoid_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_sign_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_signal_windows_blackman_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_sinh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_slice_scatter_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_sort_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_airy_ai_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_i1e_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_log_ndtr_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_ndtri_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_xlog1py_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_split_list_args_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_sqrt_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_square_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_std_mean_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tan_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_to_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_topk_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_transpose_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tril_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tril_indices_cpu_int64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_triu_indices_cpu_int64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unflatten_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unravel_index_cpu_int64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsafe_chunk_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsafe_split_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vdot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_complex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_xlogy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zeros_like_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cholesky_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cholesky_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cond_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cross_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_det_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eig_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_inv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_singular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_tensorsolve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vander_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_multi_dot_failure_1D_input_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_index_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_logsumexp_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_max_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_stack_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_trace_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vmap_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_jacfwd_with_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_batched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_unary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_acts_as_dense_in_vmap_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check
2025-12-04T09:49:54.9583145Z 
2025-12-04T09:49:54.9583461Z Finished functorch/test_vmap 3/5 ... [2025-12-04 09:49:54.904130][6141.556105915], took 6.74min
2025-12-04T09:49:54.9584538Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-1587e8dc07d9b5ba.xml
2025-12-04T09:49:55.7463208Z Running test batch 'tests to run' cost 5488.15 seconds
2025-12-04T09:49:56.7318425Z 
2025-12-04T09:49:56.7319111Z real	91m33.265s
2025-12-04T09:49:56.7319410Z user	120m13.322s
2025-12-04T09:49:56.7319630Z sys	19m58.680s
2025-12-04T09:49:56.7319860Z + assert_git_not_dirty
2025-12-04T09:49:56.7323304Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]]
2025-12-04T09:49:56.7323677Z + [[ linux-jammy-py3.14-clang12 != *xla* ]]
2025-12-04T09:49:56.7340499Z ++ git status --porcelain
2025-12-04T09:49:56.7341299Z ++ grep -v '?? third_party'
2025-12-04T09:50:41.5925979Z ++ true
2025-12-04T09:50:41.5963855Z + git_status=
2025-12-04T09:50:41.5964153Z + [[ -n '' ]]
2025-12-04T09:50:41.5964525Z + [[ 1 == 1 ]]
2025-12-04T09:50:41.5964896Z + test_aten
2025-12-04T09:50:41.5965280Z + echo 'Running ATen tests with pytorch lib'
2025-12-04T09:50:41.5965799Z Running ATen tests with pytorch lib
2025-12-04T09:50:41.5966113Z + [[ -n '' ]]
2025-12-04T09:50:41.5966381Z + echo 'Running test with the build folder'
2025-12-04T09:50:41.5966715Z Running test with the build folder
2025-12-04T09:50:41.5967022Z + TEST_BASE_DIR=build/bin
2025-12-04T09:50:41.5967515Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libc10.so build/bin
2025-12-04T09:50:41.5998585Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libcaffe2*' build/bin
2025-12-04T09:50:41.6011135Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libmkldnn*' build/bin
2025-12-04T09:50:41.6037320Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libnccl*' build/bin
2025-12-04T09:50:41.6050285Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorchbind_test.so build/bin
2025-12-04T09:50:41.6059465Z + ls build/bin
2025-12-04T09:50:41.6120437Z  BackoffTest			       cpu_generator_test
2025-12-04T09:50:41.6121046Z  CMakeFiles			       cpu_profiling_allocator_test
2025-12-04T09:50:41.6121658Z  CTestTestfile.cmake		       cpu_rng_test
2025-12-04T09:50:41.6122202Z  CppSignature_test		       dlconvertor_test
2025-12-04T09:50:41.6122761Z  Dict_test			       example_allreduce
2025-12-04T09:50:41.6123230Z  Dimname_test			       extension_backend_test
2025-12-04T09:50:41.6123572Z  FileStoreTest			       half_test
2025-12-04T09:50:41.6123887Z  HashStoreTest			       inline_container_test
2025-12-04T09:50:41.6124279Z  IListRef_test			       ivalue_test
2025-12-04T09:50:41.6124733Z  KernelFunction_test		       kernel_function_legacy_test
2025-12-04T09:50:41.6125233Z  List_test			       kernel_function_test
2025-12-04T09:50:41.6125586Z  MaybeOwned_test		       kernel_lambda_legacy_test
2025-12-04T09:50:41.6126033Z  NamedTensor_test		       kernel_lambda_test
2025-12-04T09:50:41.6126427Z  ProcessGroupGlooTest		       kernel_stackbased_test
2025-12-04T09:50:41.6126813Z  StorageUtils_test		       lazy_tensor_test
2025-12-04T09:50:41.6127180Z  TCPStoreTest			       legacy_vmap_test
2025-12-04T09:50:41.6127513Z  apply_utils_test		       libc10.so
2025-12-04T09:50:41.6127822Z  atest				      'libcaffe2*'
2025-12-04T09:50:41.6128112Z  backend_fallback_test		      'libmkldnn*'
2025-12-04T09:50:41.6128435Z  basic				      'libnccl*'
2025-12-04T09:50:41.6128714Z  broadcast_test			       libtorch.so
2025-12-04T09:50:41.6129046Z  c10_AllocatorConfig_test	       libtorch_cpu.so
2025-12-04T09:50:41.6129431Z  c10_ArrayRef_test		       libtorch_global_deps.so
2025-12-04T09:50:41.6129807Z  c10_Bitset_test		       libtorch_python.so
2025-12-04T09:50:41.6130212Z  c10_CompileTimeFunctionPointer_test   libtorchbind_test.so
2025-12-04T09:50:41.6130726Z  c10_ConstexprCrc_test		       make_boxed_from_unboxed_functor_test
2025-12-04T09:50:41.6131314Z  c10_DeadlockDetection_test	       math_kernel_test
2025-12-04T09:50:41.6131712Z  c10_DeviceGuard_test		       memory_format_test
2025-12-04T09:50:41.6132140Z  c10_Device_test		       memory_overlapping_test
2025-12-04T09:50:41.6132543Z  c10_DispatchKeySet_test	       mobile_memory_cleanup
2025-12-04T09:50:41.6132922Z  c10_Enumerate_test		       native_test
2025-12-04T09:50:41.6133241Z  c10_Half_test			       op_allowlist_test
2025-12-04T09:50:41.6133630Z  c10_InlineDeviceGuard_test	       op_registration_test
2025-12-04T09:50:41.6134062Z  c10_InlineStreamGuard_test	       operator_name_test
2025-12-04T09:50:41.6134449Z  c10_IntrusiveList_test		       operators_test
2025-12-04T09:50:41.6134850Z  c10_LeftRight_test		       packedtensoraccessor_test
2025-12-04T09:50:41.6135256Z  c10_NetworkFlow_test		       parallel_benchmark
2025-12-04T09:50:41.6135657Z  c10_Scalar_test		       pow_test
2025-12-04T09:50:41.6135952Z  c10_Semaphore_test		       protoc
2025-12-04T09:50:41.6136295Z  c10_SizesAndStrides_test	       protoc-3.13.0.0
2025-12-04T09:50:41.6136669Z  c10_StreamGuard_test		       quantized_test
2025-12-04T09:50:41.6137001Z  c10_SymInt_test		       reduce_ops_test
2025-12-04T09:50:41.6137384Z  c10_Synchronized_test		       reportMemoryUsage_test
2025-12-04T09:50:41.6137784Z  c10_ThreadLocal_test		       scalar_tensor_test
2025-12-04T09:50:41.6138122Z  c10_TypeIndex_test		       scalar_test
2025-12-04T09:50:41.6138476Z  c10_accumulate_test		       static_runtime_bench
2025-12-04T09:50:41.6138846Z  c10_bfloat16_test		       static_runtime_test
2025-12-04T09:50:41.6139199Z  c10_bit_cast_test		       stride_properties_test
2025-12-04T09:50:41.6139586Z  c10_complex_math_test		       tensor_iterator_test
2025-12-04T09:50:41.6140003Z  c10_complex_test		       test_aoti_abi_check
2025-12-04T09:50:41.6140349Z  c10_cow_test			       test_api
2025-12-04T09:50:41.6140636Z  c10_error_test			       test_cpp_rpc
2025-12-04T09:50:41.6140977Z  c10_exception_test		       test_dist_autograd
2025-12-04T09:50:41.6141320Z  c10_flags_test			       test_jit
2025-12-04T09:50:41.6141626Z  c10_generic_math_test		       test_lazy
2025-12-04T09:50:41.6141972Z  c10_intrusive_ptr_benchmark	       test_parallel
2025-12-04T09:50:41.6142365Z  c10_intrusive_ptr_test		       test_vec_half_AVX2
2025-12-04T09:50:41.6142740Z  c10_irange_test		       test_vec_half_AVX512
2025-12-04T09:50:41.6143078Z  c10_lazy_test			       test_vec_half_DEFAULT
2025-12-04T09:50:41.6143427Z  c10_logging_test		       thread_init_test
2025-12-04T09:50:41.6143768Z  c10_nofatal_test		       torch_shm_manager
2025-12-04T09:50:41.6144093Z  c10_optional_test		       type_ptr_test
2025-12-04T09:50:41.6144451Z  c10_ordered_preserving_dict_test      type_test
2025-12-04T09:50:41.6144837Z  c10_registry_test		       undefined_tensor_test
2025-12-04T09:50:41.6145233Z  c10_small_vector_test		       vec_test_all_types_AVX2
2025-12-04T09:50:41.6145621Z  c10_ssize_test			       vec_test_all_types_AVX512
2025-12-04T09:50:41.6146027Z  c10_string_util_test		       vec_test_all_types_DEFAULT
2025-12-04T09:50:41.6146429Z  c10_string_view_test		       verify_api_visibility
2025-12-04T09:50:41.6146778Z  c10_tempfile_test		       weakref_test
2025-12-04T09:50:41.6147106Z  c10_typeid_test		       wrapdim_test
2025-12-04T09:50:41.6147439Z  cmake_install.cmake		       xla_tensor_test
2025-12-04T09:50:41.6147757Z  cpu_allocator_test
2025-12-04T09:50:41.6148013Z + aten/tools/run_tests.sh build/bin
2025-12-04T09:50:41.6187723Z + set -e
2025-12-04T09:50:41.6190446Z ++ dirname aten/tools/run_tests.sh
2025-12-04T09:50:41.6212362Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2025-12-04T09:50:41.6212878Z + export CPP_TESTS_DIR=build/bin
2025-12-04T09:50:41.6213190Z + CPP_TESTS_DIR=build/bin
2025-12-04T09:50:41.6213458Z + VALGRIND=ON
2025-12-04T09:50:41.6215408Z + 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
2025-12-04T09:50:45.2034998Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:50:45.2173154Z Found test times from artifacts
2025-12-04T09:50:45.3051673Z Found test times from artifacts
2025-12-04T09:50:45.3066380Z Running all tests
2025-12-04T09:50:45.3070967Z Running parallel tests on 3 processes
2025-12-04T09:50:45.3072748Z Name: tests to run (est. time: 0.0min)
2025-12-04T09:50:45.3073324Z   Serial tests (0):
2025-12-04T09:50:45.3073745Z   Parallel tests (19):
2025-12-04T09:50:45.3074031Z     cpp/Dict_test 1/1
2025-12-04T09:50:45.3074281Z     cpp/Dimname_test 1/1
2025-12-04T09:50:45.3074753Z     cpp/NamedTensor_test 1/1
2025-12-04T09:50:45.3075052Z     cpp/apply_utils_test 1/1
2025-12-04T09:50:45.3075329Z     cpp/atest 1/1
2025-12-04T09:50:45.3075566Z     cpp/basic 1/1
2025-12-04T09:50:45.3075812Z     cpp/broadcast_test 1/1
2025-12-04T09:50:45.3076083Z     cpp/cpu_generator_test 1/1
2025-12-04T09:50:45.3076382Z     cpp/dlconvertor_test 1/1
2025-12-04T09:50:45.3076676Z     cpp/extension_backend_test 1/1
2025-12-04T09:50:45.3076969Z     cpp/lazy_tensor_test 1/1
2025-12-04T09:50:45.3077254Z     cpp/legacy_vmap_test 1/1
2025-12-04T09:50:45.3077529Z     cpp/native_test 1/1
2025-12-04T09:50:45.3077859Z     cpp/operators_test 1/1
2025-12-04T09:50:45.3078222Z     cpp/scalar_tensor_test 1/1
2025-12-04T09:50:45.3078559Z     cpp/scalar_test 1/1
2025-12-04T09:50:45.3079003Z     cpp/tensor_iterator_test 1/1
2025-12-04T09:50:45.3079643Z     cpp/undefined_tensor_test 1/1
2025-12-04T09:50:45.3079950Z     cpp/wrapdim_test 1/1
2025-12-04T09:50:45.3080383Z Name: excluded (est. time: 0.0min)
2025-12-04T09:50:45.3080671Z   Serial tests (0):
2025-12-04T09:50:45.3080918Z   Parallel tests (0):
2025-12-04T09:50:45.3081300Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:50:45.307700][6191.959679656]
2025-12-04T09:50:45.3081842Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:45.3083063Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:50:45.308074]
2025-12-04T09:50:52.2330288Z 
2025-12-04T09:50:52.2331592Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_c9a484cfd24814d0_.log
2025-12-04T09:50:52.2332227Z 
2025-12-04T09:50:52.2332479Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:50:52.232888][6198.884861548], took 0.12min
2025-12-04T09:50:53.0899328Z Uploading artifacts took 0.85 seconds
2025-12-04T09:50:53.0899888Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:50:53.089722][6199.741700286]
2025-12-04T09:50:53.0900370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:53.0902682Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:50:53.090089]
2025-12-04T09:50:59.5642130Z 
2025-12-04T09:50:59.5643061Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_8453af6e00e2e15e_.log
2025-12-04T09:50:59.5643710Z 
2025-12-04T09:50:59.5643992Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:50:59.564029][6206.216007344], took 0.11min
2025-12-04T09:50:59.5733977Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:50:59.573157][6206.225137599]
2025-12-04T09:50:59.5734778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:59.5737522Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:50:59.573481]
2025-12-04T09:51:06.0978237Z 
2025-12-04T09:51:06.0979363Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_2aaf5613fd8c1094_.log
2025-12-04T09:51:06.0980476Z 
2025-12-04T09:51:06.0980813Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:51:06.097625][6212.749603706], took 0.11min
2025-12-04T09:51:06.1066039Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:51:06.106433][6212.758413669]
2025-12-04T09:51:06.1066526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:06.1069000Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:51:06.106731]
2025-12-04T09:51:12.5312088Z 
2025-12-04T09:51:12.5312959Z 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_4908c6d1aca6ff70_.log
2025-12-04T09:51:12.5313668Z 
2025-12-04T09:51:12.5314172Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:51:12.530995][6219.182974814], took 0.11min
2025-12-04T09:51:12.5400146Z Running cpp/atest 1/1 ... [2025-12-04 09:51:12.539842][6219.19182304]
2025-12-04T09:51:12.5400597Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:12.5403115Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:51:12.540130]
2025-12-04T09:51:19.0147806Z 
2025-12-04T09:51:19.0148628Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_28b8329adb73b7f3_.log
2025-12-04T09:51:19.0149228Z 
2025-12-04T09:51:19.0149462Z Finished cpp/atest 1/1 ... [2025-12-04 09:51:19.014570][6225.666548563], took 0.11min
2025-12-04T09:51:19.0236367Z Running cpp/basic 1/1 ... [2025-12-04 09:51:19.023460][6225.67544077]
2025-12-04T09:51:19.0237045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:19.0239305Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:51:19.023756]
2025-12-04T09:51:25.4483738Z 
2025-12-04T09:51:25.4484626Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_a6cc4cd501b2a2fa_.log
2025-12-04T09:51:25.4485279Z 
2025-12-04T09:51:25.4485527Z Finished cpp/basic 1/1 ... [2025-12-04 09:51:25.448140][6232.100119815], took 0.11min
2025-12-04T09:51:25.4571273Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:51:25.456955][6232.108935091]
2025-12-04T09:51:25.4571756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:25.4575000Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:51:25.457310]
2025-12-04T09:51:31.9820664Z 
2025-12-04T09:51:31.9821609Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_0308a1f00aba8db7_.log
2025-12-04T09:51:31.9822380Z 
2025-12-04T09:51:31.9822726Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:51:31.981868][6238.633846712], took 0.11min
2025-12-04T09:51:31.9909246Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:51:31.990717][6238.642697005]
2025-12-04T09:51:31.9909728Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:31.9912167Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:51:31.991016]
2025-12-04T09:51:38.4655313Z 
2025-12-04T09:51:38.4656322Z 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_412c69abbf101848_.log
2025-12-04T09:51:38.4657021Z 
2025-12-04T09:51:38.4657315Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:51:38.465363][6245.117342958], took 0.11min
2025-12-04T09:51:38.4745243Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:51:38.474295][6245.126275508]
2025-12-04T09:51:38.4745780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:38.4747930Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:51:38.474610]
2025-12-04T09:51:44.8488557Z 
2025-12-04T09:51:44.8489735Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_771f86ce0f125531_.log
2025-12-04T09:51:44.8490740Z 
2025-12-04T09:51:44.8491061Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:51:44.848638][6251.500616828], took 0.11min
2025-12-04T09:51:44.8582770Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:51:44.858008][6251.509987304]
2025-12-04T09:51:44.8583316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:44.8585550Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:51:44.858351]
2025-12-04T09:51:51.2830931Z 
2025-12-04T09:51:51.2832462Z 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_23e492d11f0476e1_.log
2025-12-04T09:51:51.2833852Z 
2025-12-04T09:51:51.2834476Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:51:51.282830][6257.93480964], took 0.11min
2025-12-04T09:51:51.2921508Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:51:51.291921][6257.943901357]
2025-12-04T09:51:51.2922276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:51.2925108Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:51:51.292254]
2025-12-04T09:51:57.7165865Z 
2025-12-04T09:51:57.7166809Z 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_6ce31dfab79df400_.log
2025-12-04T09:51:57.7167774Z 
2025-12-04T09:51:57.7168055Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:51:57.716377][6264.3683561], took 0.11min
2025-12-04T09:51:57.7255483Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:51:57.725306][6264.377287067]
2025-12-04T09:51:57.7256004Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:57.7258305Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:51:57.725638]
2025-12-04T09:52:04.2010224Z 
2025-12-04T09:52:04.2011406Z 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_4788b3a4915a7462_.log
2025-12-04T09:52:04.2012085Z 
2025-12-04T09:52:04.2012383Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:52:04.200793][6270.852770993], took 0.11min
2025-12-04T09:52:04.2099381Z Running cpp/native_test 1/1 ... [2025-12-04 09:52:04.209729][6270.861710058]
2025-12-04T09:52:04.2099988Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:04.2102304Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:52:04.210004]
2025-12-04T09:52:10.6847824Z 
2025-12-04T09:52:10.6848997Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_501beae349b6ef47_.log
2025-12-04T09:52:10.6849629Z 
2025-12-04T09:52:10.6849898Z Finished cpp/native_test 1/1 ... [2025-12-04 09:52:10.684585][6277.336564559], took 0.11min
2025-12-04T09:52:10.6936687Z Running cpp/operators_test 1/1 ... [2025-12-04 09:52:10.693464][6277.345443784]
2025-12-04T09:52:10.6937353Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:10.6939756Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:52:10.693750]
2025-12-04T09:52:17.0691144Z 
2025-12-04T09:52:17.0692392Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_13b1610302c71c8c_.log
2025-12-04T09:52:17.0693261Z 
2025-12-04T09:52:17.0693556Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:52:17.068905][6283.720885042], took 0.11min
2025-12-04T09:52:17.0779469Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:52:17.077714][6283.729694881]
2025-12-04T09:52:17.0780028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:17.0782828Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:52:17.078047]
2025-12-04T09:52:23.5519933Z 
2025-12-04T09:52:23.5520935Z 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_aeb1b88e48e9b3b1_.log
2025-12-04T09:52:23.5521735Z 
2025-12-04T09:52:23.5522028Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:52:23.551767][6290.203746117], took 0.11min
2025-12-04T09:52:23.5608740Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:52:23.560673][6290.21265311]
2025-12-04T09:52:23.5609205Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:23.5611761Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:52:23.560987]
2025-12-04T09:52:29.9364291Z 
2025-12-04T09:52:29.9365179Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_001d41b2a394961d_.log
2025-12-04T09:52:29.9365828Z 
2025-12-04T09:52:29.9366092Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:52:29.936228][6296.588208302], took 0.11min
2025-12-04T09:52:29.9453414Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:52:29.945083][6296.597063534]
2025-12-04T09:52:29.9454238Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:29.9455921Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:52:29.945398]
2025-12-04T09:52:36.3701622Z 
2025-12-04T09:52:36.3702940Z 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_b2f31f1a94aa86b4_.log
2025-12-04T09:52:36.3703884Z 
2025-12-04T09:52:36.3704218Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:52:36.369977][6303.021957308], took 0.11min
2025-12-04T09:52:36.3790266Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:52:36.378810][6303.030791079]
2025-12-04T09:52:36.3790896Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:36.3793537Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:52:36.379121]
2025-12-04T09:52:42.7034623Z 
2025-12-04T09:52:42.7036105Z 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_2ae5fda9ee38978a_.log
2025-12-04T09:52:42.7036852Z 
2025-12-04T09:52:42.7037189Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:52:42.703228][6309.355207416], took 0.11min
2025-12-04T09:52:42.7127339Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:52:42.712532][6309.364511919]
2025-12-04T09:52:42.7127797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:42.7130239Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:52:42.712832]
2025-12-04T09:52:49.2376658Z 
2025-12-04T09:52:49.2377370Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_4c125bc8db3604c3_.log
2025-12-04T09:52:49.2377999Z 
2025-12-04T09:52:49.2378275Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:52:49.237461][6315.889438993], took 0.11min
2025-12-04T09:52:51.4832007Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:52:51.482737][6318.13471468]
2025-12-04T09:52:51.4832878Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:51.4834515Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:52:51.483132]
2025-12-04T09:52:51.4904078Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:52:51.490074][6318.142051366]
2025-12-04T09:52:51.4904933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:51.4907537Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:52:51.490454]
2025-12-04T09:52:51.4913531Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:52:51.491087][6318.143064844]
2025-12-04T09:52:51.4914431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:51.4917457Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:52:51.491451]
2025-12-04T09:53:02.0412813Z 
2025-12-04T09:53:02.0414049Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_0a2c2e59fde86702_.log
2025-12-04T09:53:02.0415015Z 
2025-12-04T09:53:02.0416826Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:53:02.041143][6328.693117333], took 0.18min
2025-12-04T09:53:02.7262887Z 
2025-12-04T09:53:02.7265560Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_6d96051e26cab119_.log
2025-12-04T09:53:02.7266838Z 
2025-12-04T09:53:02.7267483Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:53:02.726181][6329.378156691], took 0.19min
2025-12-04T09:53:05.5940910Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:53:05.593505][6332.245478835]
2025-12-04T09:53:05.5942196Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:05.5948016Z 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 09:53:05.594050]
2025-12-04T09:53:06.1045878Z Running cpp/atest 1/1 ... [2025-12-04 09:53:06.104203][6332.756178827]
2025-12-04T09:53:06.1046413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:06.1048343Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:53:06.104595]
2025-12-04T09:53:06.7802768Z 
2025-12-04T09:53:06.7804030Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_b1ba8d53beebe5c8_.log
2025-12-04T09:53:06.7805207Z 
2025-12-04T09:53:06.7805684Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:53:06.780128][6333.432105374], took 0.25min
2025-12-04T09:53:10.5730247Z Running cpp/basic 1/1 ... [2025-12-04 09:53:10.572452][6337.224426654]
2025-12-04T09:53:10.5731053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:10.5738096Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:53:10.573066]
2025-12-04T09:53:15.6285726Z 
2025-12-04T09:53:15.6287219Z 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_804670dda60c54ef_.log
2025-12-04T09:53:15.6288413Z 
2025-12-04T09:53:15.6291903Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:53:15.628496][6342.280470112], took 0.17min
2025-12-04T09:53:17.0933863Z 
2025-12-04T09:53:17.0934982Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_30fe990a04b6b7e3_.log
2025-12-04T09:53:17.0936574Z 
2025-12-04T09:53:17.0939221Z Finished cpp/atest 1/1 ... [2025-12-04 09:53:17.093310][6343.745285835], took 0.18min
2025-12-04T09:53:19.5587107Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:53:19.557854][6346.209827842]
2025-12-04T09:53:19.5588132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:19.5589564Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:53:19.558334]
2025-12-04T09:53:20.5100174Z 
2025-12-04T09:53:20.5101625Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_cb2d67f5a2cf2689_.log
2025-12-04T09:53:20.5102575Z 
2025-12-04T09:53:20.5102953Z Finished cpp/basic 1/1 ... [2025-12-04 09:53:20.509904][6347.161881408], took 0.17min
2025-12-04T09:53:20.5359895Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:53:20.535651][6347.18762879]
2025-12-04T09:53:20.5360403Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:20.5363380Z 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 09:53:20.536063]
2025-12-04T09:53:23.7740513Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:53:23.773581][6350.425557204]
2025-12-04T09:53:23.7741803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:23.7745166Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:53:23.774247]
2025-12-04T09:53:28.3391605Z 
2025-12-04T09:53:28.3397889Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_b07aa53c4a2367fc_.log
2025-12-04T09:53:28.3405668Z 
2025-12-04T09:53:28.3411616Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:53:28.340854][6354.992826737], took 0.15min
2025-12-04T09:53:31.8291282Z 
2025-12-04T09:53:31.8292703Z 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_fe8974453d3d205b_.log
2025-12-04T09:53:31.8294081Z 
2025-12-04T09:53:31.8295093Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:53:31.829251][6358.48122259], took 0.19min
2025-12-04T09:53:32.3055064Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:53:32.304941][6358.956914948]
2025-12-04T09:53:32.3056066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:32.3058433Z 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 09:53:32.305453]
2025-12-04T09:53:33.4336555Z 
2025-12-04T09:53:33.4337864Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_c54d30635db5faf1_.log
2025-12-04T09:53:33.4338839Z 
2025-12-04T09:53:33.4339286Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:53:33.433577][6360.085553099], took 0.16min
2025-12-04T09:53:35.1753026Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:53:35.174856][6361.826832198]
2025-12-04T09:53:35.1753905Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:35.1755412Z 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 09:53:35.175277]
2025-12-04T09:53:36.5630864Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:53:36.562598][6363.214575181]
2025-12-04T09:53:36.5631792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:36.5635599Z 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 09:53:36.562990]
2025-12-04T09:53:41.5479996Z 
2025-12-04T09:53:41.5481746Z 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_6c9ef8109b8850f7_.log
2025-12-04T09:53:41.5490036Z 
2025-12-04T09:53:41.5490796Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:53:41.547775][6368.19975072], took 0.15min
2025-12-04T09:53:44.0636929Z 
2025-12-04T09:53:44.0638411Z 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_71ca9eaca940c42d_.log
2025-12-04T09:53:44.0639960Z 
2025-12-04T09:53:44.0640500Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:53:44.063408][6370.715384054], took 0.15min
2025-12-04T09:53:45.1315389Z Running cpp/native_test 1/1 ... [2025-12-04 09:53:45.130994][6371.782971183]
2025-12-04T09:53:45.1316281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:45.1320028Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:53:45.131398]
2025-12-04T09:53:47.7483663Z Running cpp/operators_test 1/1 ... [2025-12-04 09:53:47.747939][6374.39991638]
2025-12-04T09:53:47.7486159Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:47.7487852Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:53:47.748385]
2025-12-04T09:53:48.0582666Z 
2025-12-04T09:53:48.0584172Z 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_277da4924f22cbb8_.log
2025-12-04T09:53:48.0585603Z 
2025-12-04T09:53:48.0590314Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:53:48.058129][6374.71010364], took 0.19min
2025-12-04T09:53:52.0503098Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:53:52.049731][6378.701704448]
2025-12-04T09:53:52.0504075Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:52.0511320Z 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 09:53:52.050225]
2025-12-04T09:53:54.2129522Z 
2025-12-04T09:53:54.2131358Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_c5c98b9fb64503ca_.log
2025-12-04T09:53:54.2132286Z 
2025-12-04T09:53:54.2132573Z Finished cpp/native_test 1/1 ... [2025-12-04 09:53:54.212869][6380.864845311], took 0.15min
2025-12-04T09:53:57.2812864Z 
2025-12-04T09:53:57.2814263Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_996058d6adabb14e_.log
2025-12-04T09:53:57.2815484Z 
2025-12-04T09:53:57.2815984Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:53:57.280933][6383.932908966], took 0.16min
2025-12-04T09:53:57.6968090Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:53:57.696370][6384.348346045]
2025-12-04T09:53:57.6968951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:57.6971842Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:53:57.696885]
2025-12-04T09:54:00.7370912Z 
2025-12-04T09:54:00.7372908Z 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_1a6c66e45819f5a0_.log
2025-12-04T09:54:00.7374293Z 
2025-12-04T09:54:00.7374822Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:54:00.736999][6387.388974414], took 0.14min
2025-12-04T09:54:00.7489228Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:54:00.748587][6387.400561432]
2025-12-04T09:54:00.7490168Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:00.7493810Z 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 09:54:00.749107]
2025-12-04T09:54:04.1815109Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:54:04.180382][6390.832358704]
2025-12-04T09:54:04.1816014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:04.1817479Z 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 09:54:04.180770]
2025-12-04T09:54:07.5336446Z 
2025-12-04T09:54:07.5338108Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_37e9969738c2e296_.log
2025-12-04T09:54:07.5339792Z 
2025-12-04T09:54:07.5340605Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:54:07.533406][6394.185382803], took 0.16min
2025-12-04T09:54:11.6736350Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:54:11.672504][6398.324478279]
2025-12-04T09:54:11.6737256Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:11.6738585Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:54:11.672999]
2025-12-04T09:54:13.5141354Z 
2025-12-04T09:54:13.5142862Z 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_64bdb5d380f4b041_.log
2025-12-04T09:54:13.5144287Z 
2025-12-04T09:54:13.5145134Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:54:13.513965][6400.165939781], took 0.16min
2025-12-04T09:54:17.8484060Z 
2025-12-04T09:54:17.8485724Z 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_f3a5e72d84d6d3e0_.log
2025-12-04T09:54:17.8487126Z 
2025-12-04T09:54:17.8487720Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:54:17.848276][6404.500253823], took 0.28min
2025-12-04T09:54:20.2777435Z 
2025-12-04T09:54:20.2778479Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_fe2625f5e1deebf8_.log
2025-12-04T09:54:20.2779180Z 
2025-12-04T09:54:20.2779475Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:54:20.277625][6406.929603379], took 0.14min
2025-12-04T09:54:21.5207787Z Running test batch 'tests to run' cost 216.21 seconds
2025-12-04T09:54:22.1704483Z + run_if_exists tensor_interop_test
2025-12-04T09:54:22.1705077Z + local test_name=tensor_interop_test
2025-12-04T09:54:22.1705652Z + [[ -x build/bin/tensor_interop_test ]]
2025-12-04T09:54:22.1706249Z + echo 'Warning: tensor_interop_test does not exist.'
2025-12-04T09:54:22.1706835Z Warning: tensor_interop_test does not exist.
2025-12-04T09:54:22.1707359Z + run_if_exists cudnn_test
2025-12-04T09:54:22.1707714Z + local test_name=cudnn_test
2025-12-04T09:54:22.1708111Z + [[ -x build/bin/cudnn_test ]]
2025-12-04T09:54:22.1708586Z + echo 'Warning: cudnn_test does not exist.'
2025-12-04T09:54:22.1709109Z Warning: cudnn_test does not exist.
2025-12-04T09:54:22.1709581Z + run_if_exists cuda_generator_test
2025-12-04T09:54:22.1710194Z + local test_name=cuda_generator_test
2025-12-04T09:54:22.1710717Z + [[ -x build/bin/cuda_generator_test ]]
2025-12-04T09:54:22.1711295Z + echo 'Warning: cuda_generator_test does not exist.'
2025-12-04T09:54:22.1711754Z Warning: cuda_generator_test does not exist.
2025-12-04T09:54:22.1712194Z + run_if_exists apply_test
2025-12-04T09:54:22.1712516Z + local test_name=apply_test
2025-12-04T09:54:22.1712838Z + [[ -x build/bin/apply_test ]]
2025-12-04T09:54:22.1713182Z + echo 'Warning: apply_test does not exist.'
2025-12-04T09:54:22.1713520Z Warning: apply_test does not exist.
2025-12-04T09:54:22.1713834Z + run_if_exists stream_test
2025-12-04T09:54:22.1714113Z + local test_name=stream_test
2025-12-04T09:54:22.1714396Z + [[ -x build/bin/stream_test ]]
2025-12-04T09:54:22.1714718Z + echo 'Warning: stream_test does not exist.'
2025-12-04T09:54:22.1715066Z Warning: stream_test does not exist.
2025-12-04T09:54:22.1715378Z + run_if_exists cuda_half_test
2025-12-04T09:54:22.1715658Z + local test_name=cuda_half_test
2025-12-04T09:54:22.1715958Z + [[ -x build/bin/cuda_half_test ]]
2025-12-04T09:54:22.1716295Z + echo 'Warning: cuda_half_test does not exist.'
2025-12-04T09:54:22.1716646Z Warning: cuda_half_test does not exist.
2025-12-04T09:54:22.1716979Z + run_if_exists cuda_vectorized_test
2025-12-04T09:54:22.1717305Z + local test_name=cuda_vectorized_test
2025-12-04T09:54:22.1717624Z + [[ -x build/bin/cuda_vectorized_test ]]
2025-12-04T09:54:22.1717998Z + echo 'Warning: cuda_vectorized_test does not exist.'
2025-12-04T09:54:22.1719000Z Warning: cuda_vectorized_test does not exist.
2025-12-04T09:54:22.1719347Z + run_if_exists cuda_distributions_test
2025-12-04T09:54:22.1719690Z + local test_name=cuda_distributions_test
2025-12-04T09:54:22.1720116Z + [[ -x build/bin/cuda_distributions_test ]]
2025-12-04T09:54:22.1720518Z + echo 'Warning: cuda_distributions_test does not exist.'
2025-12-04T09:54:22.1720936Z Warning: cuda_distributions_test does not exist.
2025-12-04T09:54:22.1721310Z + run_if_exists cuda_optional_test
2025-12-04T09:54:22.1721631Z + local test_name=cuda_optional_test
2025-12-04T09:54:22.1721944Z + [[ -x build/bin/cuda_optional_test ]]
2025-12-04T09:54:22.1722308Z + echo 'Warning: cuda_optional_test does not exist.'
2025-12-04T09:54:22.1722717Z Warning: cuda_optional_test does not exist.
2025-12-04T09:54:22.1723095Z + run_if_exists cuda_tensor_interop_test
2025-12-04T09:54:22.1723501Z + local test_name=cuda_tensor_interop_test
2025-12-04T09:54:22.1723857Z + [[ -x build/bin/cuda_tensor_interop_test ]]
2025-12-04T09:54:22.1724252Z + echo 'Warning: cuda_tensor_interop_test does not exist.'
2025-12-04T09:54:22.1724674Z Warning: cuda_tensor_interop_test does not exist.
2025-12-04T09:54:22.1725041Z + run_if_exists cuda_complex_test
2025-12-04T09:54:22.1725351Z + local test_name=cuda_complex_test
2025-12-04T09:54:22.1725659Z + [[ -x build/bin/cuda_complex_test ]]
2025-12-04T09:54:22.1726013Z + echo 'Warning: cuda_complex_test does not exist.'
2025-12-04T09:54:22.1726393Z Warning: cuda_complex_test does not exist.
2025-12-04T09:54:22.1726720Z + run_if_exists cuda_complex_math_test
2025-12-04T09:54:22.1727047Z + local test_name=cuda_complex_math_test
2025-12-04T09:54:22.1727383Z + [[ -x build/bin/cuda_complex_math_test ]]
2025-12-04T09:54:22.1727791Z + echo 'Warning: cuda_complex_math_test does not exist.'
2025-12-04T09:54:22.1728238Z Warning: cuda_complex_math_test does not exist.
2025-12-04T09:54:22.1728594Z + run_if_exists cuda_cub_test
2025-12-04T09:54:22.1728887Z + local test_name=cuda_cub_test
2025-12-04T09:54:22.1729174Z + [[ -x build/bin/cuda_cub_test ]]
2025-12-04T09:54:22.1729506Z + echo 'Warning: cuda_cub_test does not exist.'
2025-12-04T09:54:22.1729861Z Warning: cuda_cub_test does not exist.
2025-12-04T09:54:22.1730175Z + run_if_exists cuda_atomic_ops_test
2025-12-04T09:54:22.1730496Z + local test_name=cuda_atomic_ops_test
2025-12-04T09:54:22.1730823Z + [[ -x build/bin/cuda_atomic_ops_test ]]
2025-12-04T09:54:22.1731231Z + echo 'Warning: cuda_atomic_ops_test does not exist.'
2025-12-04T09:54:22.1731628Z Warning: cuda_atomic_ops_test does not exist.
2025-12-04T09:54:22.1731977Z + run_if_exists cuda_allocator_test
2025-12-04T09:54:22.1732296Z + local test_name=cuda_allocator_test
2025-12-04T09:54:22.1732610Z + [[ -x build/bin/cuda_allocator_test ]]
2025-12-04T09:54:22.1732982Z + echo 'Warning: cuda_allocator_test does not exist.'
2025-12-04T09:54:22.1733372Z Warning: cuda_allocator_test does not exist.
2025-12-04T09:54:22.1733692Z + '[' ON == ON ']'
2025-12-04T09:54:22.1734392Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA'
2025-12-04T09:54:22.1993822Z ==9342== Memcheck, a memory error detector
2025-12-04T09:54:22.1994331Z ==9342== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al.
2025-12-04T09:54:22.1994891Z ==9342== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info
2025-12-04T09:54:22.1995394Z ==9342== Command: build/bin/basic --gtest_filter=-*CUDA
2025-12-04T09:54:22.1995752Z ==9342== 
2025-12-04T09:54:22.7427587Z ==9342== Warning: set address range perms: large range [0x4a4c000, 0x19cdb000) (defined)
2025-12-04T09:54:22.7428288Z ==9342== Warning: set address range perms: large range [0x5d2d000, 0x16d2d000) (defined)
2025-12-04T09:54:46.1860849Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2025-12-04T09:54:46.2151862Z Note: Google Test filter = -*CUDA
2025-12-04T09:54:46.2201512Z [==========] Running 6 tests from 1 test suite.
2025-12-04T09:54:46.2228113Z [----------] Global test environment set-up.
2025-12-04T09:54:46.2298118Z [----------] 6 tests from BasicTest
2025-12-04T09:54:46.2321702Z [ RUN      ] BasicTest.BasicTestCPU
2025-12-04T09:54:47.4489002Z    345 ms
2025-12-04T09:54:47.5279805Z    49 ms
2025-12-04T09:54:47.5915153Z    55 ms
2025-12-04T09:54:48.2234878Z [       OK ] BasicTest.BasicTestCPU (1989 ms)
2025-12-04T09:54:48.2265594Z [ RUN      ] BasicTest.BasicTestHalfCPU
2025-12-04T09:54:48.3528883Z    81 ms
2025-12-04T09:54:48.4266588Z    41 ms
2025-12-04T09:54:48.4837060Z    55 ms
2025-12-04T09:54:48.5311618Z [       OK ] BasicTest.BasicTestHalfCPU (302 ms)
2025-12-04T09:54:48.5312108Z [ RUN      ] BasicTest.FactoryMethodsTest
2025-12-04T09:54:48.5617897Z [       OK ] BasicTest.FactoryMethodsTest (30 ms)
2025-12-04T09:54:48.5618290Z [ RUN      ] BasicTest.BasicStdTestCPU
2025-12-04T09:54:48.6776500Z Simple example: called once
2025-12-04T09:54:48.7250520Z throw: call_once will retry
2025-12-04T09:54:48.7642316Z throw: call_once will retry
2025-12-04T09:54:48.7646929Z Didn't throw, call_once will not attempt again
2025-12-04T09:54:48.7665223Z [       OK ] BasicTest.BasicStdTestCPU (204 ms)
2025-12-04T09:54:48.7665649Z [ RUN      ] BasicTest.TestForBlobResizeCPU
2025-12-04T09:54:48.7827725Z [       OK ] BasicTest.TestForBlobResizeCPU (16 ms)
2025-12-04T09:54:48.7828217Z [ RUN      ] BasicTest.TestForBlobStridesResizeCPU
2025-12-04T09:54:48.7855517Z [       OK ] BasicTest.TestForBlobStridesResizeCPU (2 ms)
2025-12-04T09:54:48.7877012Z [----------] 6 tests from BasicTest (2554 ms total)
2025-12-04T09:54:48.7877289Z 
2025-12-04T09:54:48.7889215Z [----------] Global test environment tear-down
2025-12-04T09:54:48.7917200Z [==========] 6 tests from 1 test suite ran. (2580 ms total)
2025-12-04T09:54:48.7929559Z [  PASSED  ] 6 tests.
2025-12-04T09:54:50.6984903Z ==9342== 
2025-12-04T09:54:50.6988778Z ==9342== HEAP SUMMARY:
2025-12-04T09:54:50.6989198Z ==9342==     in use at exit: 430,867 bytes in 6,419 blocks
2025-12-04T09:54:50.6989707Z ==9342==   total heap usage: 652,079 allocs, 645,660 frees, 198,310,853 bytes allocated
2025-12-04T09:54:50.6990291Z ==9342== 
2025-12-04T09:54:50.7424753Z ==9342== LEAK SUMMARY:
2025-12-04T09:54:50.7425098Z ==9342==    definitely lost: 0 bytes in 0 blocks
2025-12-04T09:54:50.7425471Z ==9342==    indirectly lost: 0 bytes in 0 blocks
2025-12-04T09:54:50.7425849Z ==9342==      possibly lost: 69,920 bytes in 2 blocks
2025-12-04T09:54:50.7426232Z ==9342==    still reachable: 360,947 bytes in 6,417 blocks
2025-12-04T09:54:50.7426620Z ==9342==         suppressed: 0 bytes in 0 blocks
2025-12-04T09:54:50.7427069Z ==9342== Rerun with --leak-check=full to see details of leaked memory
2025-12-04T09:54:50.7427466Z ==9342== 
2025-12-04T09:54:50.7427790Z ==9342== For lists of detected and suppressed errors, rerun with: -s
2025-12-04T09:54:50.7428321Z ==9342== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0)
2025-12-04T09:54:50.7847083Z + [[ -x build/bin/tensor_interop_test ]]
2025-12-04T09:54:50.7849680Z + [[ -n '' ]]
2025-12-04T09:54:50.7849989Z + assert_git_not_dirty
2025-12-04T09:54:50.7850289Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]]
2025-12-04T09:54:50.7850641Z + [[ linux-jammy-py3.14-clang12 != *xla* ]]
2025-12-04T09:54:50.7856598Z ++ git status --porcelain
2025-12-04T09:54:50.7857805Z ++ grep -v '?? third_party'
2025-12-04T09:54:51.0818855Z ++ true
2025-12-04T09:54:51.0820362Z + git_status=
2025-12-04T09:54:51.0820748Z + [[ -n '' ]]
2025-12-04T09:54:51.0821766Z + sccache_epilogue
2025-12-04T09:54:51.0822157Z + echo '::group::Sccache Compilation Log'
2025-12-04T09:54:51.0822813Z ##[group]Sccache Compilation Log
2025-12-04T09:54:51.0823185Z + echo '=================== sccache compilation log ==================='
2025-12-04T09:54:51.0823624Z =================== sccache compilation log ===================
2025-12-04T09:54:51.0824297Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-12-04T09:54:51.0968667Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-12-04T09:54:51.0969565Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-12-04T09:54:51.0970128Z + sccache --show-stats
2025-12-04T09:54:51.1001370Z Compile requests                     214
2025-12-04T09:54:51.1001899Z Compile requests executed            103
2025-12-04T09:54:51.1002236Z Cache hits                            46
2025-12-04T09:54:51.1002808Z Cache hits (C/C++)                    46
2025-12-04T09:54:51.1003162Z Cache misses                          37
2025-12-04T09:54:51.1003480Z Cache misses (C/C++)                  37
2025-12-04T09:54:51.1003934Z Cache hits rate                    55.42 %
2025-12-04T09:54:51.1004397Z Cache hits rate (C/C++)            55.42 %
2025-12-04T09:54:51.1004833Z Cache timeouts                         0
2025-12-04T09:54:51.1005317Z Cache read errors                      0
2025-12-04T09:54:51.1005629Z Forced recaches                        0
2025-12-04T09:54:51.1005963Z Cache write errors                     0
2025-12-04T09:54:51.1006281Z Cache errors                           0
2025-12-04T09:54:51.1006615Z Compilations                          37
2025-12-04T09:54:51.1006936Z Compilation failures                  20
2025-12-04T09:54:51.1007274Z Non-cacheable compilations             0
2025-12-04T09:54:51.1007607Z Non-cacheable calls                    1
2025-12-04T09:54:51.1007927Z Non-compilation calls                110
2025-12-04T09:54:51.1008267Z Unsupported compiler calls             0
2025-12-04T09:54:51.1008608Z Average cache write                0.038 s
2025-12-04T09:54:51.1008946Z Average compiler                  12.318 s
2025-12-04T09:54:51.1009273Z Average cache read hit             0.069 s
2025-12-04T09:54:51.1009682Z Failed distributed compilations        0
2025-12-04T09:54:51.1009908Z 
2025-12-04T09:54:51.1010019Z Non-cacheable reasons:
2025-12-04T09:54:51.1010272Z -E                                     1
2025-12-04T09:54:51.1010499Z 
2025-12-04T09:54:51.1010741Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T09:54:51.1011207Z Version (client)                0.10.0
2025-12-04T09:54:51.1011508Z + sccache --stop-server
2025-12-04T09:54:51.1023552Z Stopping sccache server...
2025-12-04T09:54:51.1026656Z Compile requests                     214
2025-12-04T09:54:51.1027312Z Compile requests executed            103
2025-12-04T09:54:51.1027637Z Cache hits                            46
2025-12-04T09:54:51.1027955Z Cache hits (C/C++)                    46
2025-12-04T09:54:51.1028270Z Cache misses                          37
2025-12-04T09:54:51.1028575Z Cache misses (C/C++)                  37
2025-12-04T09:54:51.1029041Z Cache hits rate                    55.42 %
2025-12-04T09:54:51.1029508Z Cache hits rate (C/C++)            55.42 %
2025-12-04T09:54:51.1030071Z Cache timeouts                         0
2025-12-04T09:54:51.1030681Z Cache read errors                      0
2025-12-04T09:54:51.1031274Z Forced recaches                        0
2025-12-04T09:54:51.1031881Z Cache write errors                     0
2025-12-04T09:54:51.1032189Z Cache errors                           0
2025-12-04T09:54:51.1032512Z Compilations                          37
2025-12-04T09:54:51.1032841Z Compilation failures                  20
2025-12-04T09:54:51.1033166Z Non-cacheable compilations             0
2025-12-04T09:54:51.1033502Z Non-cacheable calls                    1
2025-12-04T09:54:51.1033833Z Non-compilation calls                110
2025-12-04T09:54:51.1034185Z Unsupported compiler calls             0
2025-12-04T09:54:51.1034511Z Average cache write                0.038 s
2025-12-04T09:54:51.1034846Z Average compiler                  12.318 s
2025-12-04T09:54:51.1035184Z Average cache read hit             0.069 s
2025-12-04T09:54:51.1035633Z Failed distributed compilations        0
2025-12-04T09:54:51.1035981Z 
2025-12-04T09:54:51.1036140Z Non-cacheable reasons:
2025-12-04T09:54:51.1036554Z -E                                     1
2025-12-04T09:54:51.1037076Z 
2025-12-04T09:54:51.1037458Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T09:54:51.1038306Z Version (client)                0.10.0
2025-12-04T09:54:51.1038639Z + echo ::endgroup::
2025-12-04T09:54:51.1039136Z ##[endgroup]
2025-12-04T09:54:51.1039368Z + cleanup_workspace
2025-12-04T09:54:51.1039867Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-12-04T09:54:51.1040679Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-12-04T09:54:51.1041325Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-12-04T09:54:51.1041789Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-12-04T09:54:51.1042345Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-12-04T09:54:51.1043000Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-12-04T09:54:51.1043495Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-12-04T09:54:54.7204840Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-12-04T09:54:54.7205335Z with:
2025-12-04T09:54:54.7205590Z   benchmark-results-dir: test/test-reports
2025-12-04T09:54:54.7205908Z   dry-run: false
2025-12-04T09:54:54.7206151Z   schema-version: v3
2025-12-04T09:54:54.7206609Z   github-token: ***
2025-12-04T09:54:54.7206844Z env:
2025-12-04T09:54:54.7207051Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:54:54.7207326Z   HAS_NVIDIA_GPU: false
2025-12-04T09:54:54.7207786Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:54:54.7208291Z ##[endgroup]
2025-12-04T09:54:54.7252031Z ##[group]Run set -eux
2025-12-04T09:54:54.7252318Z set -eux
2025-12-04T09:54:54.7252551Z 
2025-12-04T09:54:54.7252760Z if [[ -n "" ]]; then
2025-12-04T09:54:54.7253035Z   source ""
2025-12-04T09:54:54.7253281Z fi
2025-12-04T09:54:54.7253667Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T09:54:54.7254091Z 
2025-12-04T09:54:54.7254309Z DEVICE_NAME=""
2025-12-04T09:54:54.7254574Z DEVICE_TYPE=""
2025-12-04T09:54:54.7254826Z 
2025-12-04T09:54:54.7255048Z if command -v nvidia-smi; then
2025-12-04T09:54:54.7255511Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-12-04T09:54:54.7256109Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-12-04T09:54:54.7256652Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-12-04T09:54:54.7257092Z   python3 -mpip install torch==2.7.1
2025-12-04T09:54:54.7257450Z elif command -v rocminfo; then
2025-12-04T09:54:54.7257900Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-12-04T09:54:54.7258464Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-12-04T09:54:54.7259050Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-12-04T09:54:54.7259557Z   # GPU device name coming from rocminfo instead
2025-12-04T09:54:54.7259914Z   DEVICE_NAME=rocm
2025-12-04T09:54:54.7260406Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-12-04T09:54:54.7260921Z fi
2025-12-04T09:54:54.7261133Z 
2025-12-04T09:54:54.7261396Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-12-04T09:54:54.7261814Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-12-04T09:54:54.7273133Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:54:54.7273517Z env:
2025-12-04T09:54:54.7273745Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:54:54.7274027Z   HAS_NVIDIA_GPU: false
2025-12-04T09:54:54.7274477Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:54:54.7275094Z ##[endgroup]
2025-12-04T09:54:54.7324683Z + [[ -n '' ]]
2025-12-04T09:54:54.7325328Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T09:54:55.0274872Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:54:56.1669800Z Collecting boto3==1.35.33
2025-12-04T09:54:56.1836771Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-12-04T09:54:56.5122801Z Collecting psutil==7.0.0
2025-12-04T09:54:56.5160145Z   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)
2025-12-04T09:54:56.5459006Z Collecting pynvml==12.0.0
2025-12-04T09:54:56.5491530Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-12-04T09:54:56.5971352Z Collecting s3transfer<0.11.0,>=0.10.0
2025-12-04T09:54:56.6004807Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-12-04T09:54:56.6057935Z 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)
2025-12-04T09:54:57.8322081Z Collecting botocore<1.36.0,>=1.35.33
2025-12-04T09:54:57.8360161Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-12-04T09:54:58.0215132Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-12-04T09:54:58.0250297Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-12-04T09:54:58.0331134Z 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)
2025-12-04T09:54:58.0341257Z 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)
2025-12-04T09:54:58.1817284Z 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)
2025-12-04T09:54:58.3226226Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-12-04T09:54:58.8359080Z   Attempting uninstall: nvidia-ml-py
2025-12-04T09:54:58.8360196Z     Found existing installation: nvidia-ml-py 11.525.84
2025-12-04T09:54:58.8379827Z     Uninstalling nvidia-ml-py-11.525.84:
2025-12-04T09:54:58.8621996Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-12-04T09:54:58.9234597Z   Attempting uninstall: psutil
2025-12-04T09:54:58.9235333Z     Found existing installation: psutil 5.9.8
2025-12-04T09:54:58.9310049Z     Uninstalling psutil-5.9.8:
2025-12-04T09:54:58.9322095Z       Successfully uninstalled psutil-5.9.8
2025-12-04T09:54:59.1010847Z 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
2025-12-04T09:54:59.2162148Z + DEVICE_NAME=
2025-12-04T09:54:59.2162606Z + DEVICE_TYPE=
2025-12-04T09:54:59.2163057Z + command -v nvidia-smi
2025-12-04T09:54:59.2163504Z + command -v rocminfo
2025-12-04T09:54:59.2163992Z + echo DEVICE_NAME=
2025-12-04T09:54:59.2164342Z + echo DEVICE_TYPE=
2025-12-04T09:54:59.2194414Z ##[group]Run set -eux
2025-12-04T09:54:59.2194694Z set -eux
2025-12-04T09:54:59.2194927Z 
2025-12-04T09:54:59.2195175Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-12-04T09:54:59.2195534Z   echo "Missing github-token input"
2025-12-04T09:54:59.2195861Z   exit 1
2025-12-04T09:54:59.2196089Z fi
2025-12-04T09:54:59.2202941Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:54:59.2203335Z env:
2025-12-04T09:54:59.2203560Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:54:59.2203826Z   HAS_NVIDIA_GPU: false
2025-12-04T09:54:59.2204292Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:54:59.2204977Z   DEVICE_NAME: 
2025-12-04T09:54:59.2205215Z   DEVICE_TYPE: 
2025-12-04T09:54:59.2205681Z   GITHUB_TOKEN: ***
2025-12-04T09:54:59.2205931Z ##[endgroup]
2025-12-04T09:54:59.2235404Z + [[ -z *** ]]
2025-12-04T09:54:59.2292982Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-12-04T09:54:59.2293443Z with:
2025-12-04T09:54:59.2293921Z   github-token: ***
2025-12-04T09:54:59.2294149Z env:
2025-12-04T09:54:59.2294367Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:54:59.2294646Z   HAS_NVIDIA_GPU: false
2025-12-04T09:54:59.2295094Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:54:59.2295611Z   DEVICE_NAME: 
2025-12-04T09:54:59.2295843Z   DEVICE_TYPE: 
2025-12-04T09:54:59.2296058Z ##[endgroup]
2025-12-04T09:54:59.2320304Z ##[group]Run set -eux
2025-12-04T09:54:59.2320565Z set -eux
2025-12-04T09:54:59.2320796Z 
2025-12-04T09:54:59.2321295Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T09:54:59.2327216Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:54:59.2327603Z env:
2025-12-04T09:54:59.2327823Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:54:59.2328097Z   HAS_NVIDIA_GPU: false
2025-12-04T09:54:59.2328759Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:54:59.2329285Z   DEVICE_NAME: 
2025-12-04T09:54:59.2329523Z   DEVICE_TYPE: 
2025-12-04T09:54:59.2329894Z   GITHUB_TOKEN: ***
2025-12-04T09:54:59.2330139Z ##[endgroup]
2025-12-04T09:54:59.2371149Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19921726337 i-0c1d8a0372d6a4d35
2025-12-04T09:55:02.3834167Z setting job-id=57112645056
2025-12-04T09:55:02.3834808Z setting job-name=linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T09:55:02.3956424Z ##[group]Run set -eux
2025-12-04T09:55:02.3956710Z set -eux
2025-12-04T09:55:02.3956945Z 
2025-12-04T09:55:02.3957157Z if [[ -n "" ]]; then
2025-12-04T09:55:02.3957442Z   source ""
2025-12-04T09:55:02.3957699Z fi
2025-12-04T09:55:02.3957903Z 
2025-12-04T09:55:02.3958319Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-12-04T09:55:02.3958861Z   --schema-version "${SCHEMA_VERSION}" \
2025-12-04T09:55:02.3959208Z   --repo "${REPO}" \
2025-12-04T09:55:02.3959527Z   --head-branch "${HEAD_BRANCH}" \
2025-12-04T09:55:02.3959868Z   --head-sha "${HEAD_SHA}" \
2025-12-04T09:55:02.3960213Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-12-04T09:55:02.3960566Z   --run-attempt "${RUN_ATTEMPT}" \
2025-12-04T09:55:02.3960899Z   --job-id "${JOB_ID}" \
2025-12-04T09:55:02.3961207Z   --job-name "${JOB_NAME}"
2025-12-04T09:55:02.3967041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:02.3967432Z env:
2025-12-04T09:55:02.3967653Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:02.3967921Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:02.3968377Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:02.3968910Z   DEVICE_NAME: 
2025-12-04T09:55:02.3969139Z   DEVICE_TYPE: 
2025-12-04T09:55:02.3969355Z   SCHEMA_VERSION: v3
2025-12-04T09:55:02.3969609Z   REPO: pytorch/pytorch
2025-12-04T09:55:02.3969875Z   HEAD_BRANCH: refs/heads/main
2025-12-04T09:55:02.3970196Z   HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:55:02.3970560Z   WORKFLOW_RUN_ID: 19921726337
2025-12-04T09:55:02.3970836Z   RUN_ATTEMPT: 1
2025-12-04T09:55:02.3971053Z   JOB_ID: 57112645056
2025-12-04T09:55:02.3971462Z   JOB_NAME: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T09:55:02.3971941Z ##[endgroup]
2025-12-04T09:55:02.3996241Z + [[ -n '' ]]
2025-12-04T09:55:02.3998508Z + 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 57112645056 --job-name 'linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)'
2025-12-04T09:55:02.4326915Z ##[group]Run set -eux
2025-12-04T09:55:02.4327192Z set -eux
2025-12-04T09:55:02.4327423Z 
2025-12-04T09:55:02.4327634Z if [[ -n "" ]]; then
2025-12-04T09:55:02.4327913Z   source ""
2025-12-04T09:55:02.4328157Z fi
2025-12-04T09:55:02.4328355Z 
2025-12-04T09:55:02.4328775Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-12-04T09:55:02.4334670Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:02.4335063Z env:
2025-12-04T09:55:02.4335292Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:02.4335576Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:02.4336033Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:02.4336563Z   DEVICE_NAME: 
2025-12-04T09:55:02.4336805Z   DEVICE_TYPE: 
2025-12-04T09:55:02.4337173Z ##[endgroup]
2025-12-04T09:55:02.4359571Z + [[ -n '' ]]
2025-12-04T09:55:02.4360406Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-12-04T09:55:02.4777632Z INFO:root:Fail to import torch to get the device name
2025-12-04T09:55:02.4885692Z ##[group]Run set -eux
2025-12-04T09:55:02.4885957Z set -eux
2025-12-04T09:55:02.4886193Z 
2025-12-04T09:55:02.4886452Z # TODO (huydhn): Implement this part
2025-12-04T09:55:02.4886836Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:55:02.4892671Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:02.4893059Z env:
2025-12-04T09:55:02.4893276Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:02.4893553Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:02.4894010Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:02.4894540Z   DEVICE_NAME: 
2025-12-04T09:55:02.4894757Z   DEVICE_TYPE: 
2025-12-04T09:55:02.4894981Z ##[endgroup]
2025-12-04T09:55:02.4917328Z + echo 'dependencies={}'
2025-12-04T09:55:02.4947769Z ##[group]Run set -eux
2025-12-04T09:55:02.4948053Z set -eux
2025-12-04T09:55:02.4948284Z 
2025-12-04T09:55:02.4948505Z if [[ -n "" ]]; then
2025-12-04T09:55:02.4948767Z   source ""
2025-12-04T09:55:02.4949006Z fi
2025-12-04T09:55:02.4949219Z 
2025-12-04T09:55:02.4949471Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-12-04T09:55:02.4949921Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-12-04T09:55:02.4950525Z   # We don't want the job to fail if the directory doesn't exist
2025-12-04T09:55:02.4950930Z   exit 0
2025-12-04T09:55:02.4951145Z fi
2025-12-04T09:55:02.4951362Z 
2025-12-04T09:55:02.4951609Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-12-04T09:55:02.4952099Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T09:55:02.4952676Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T09:55:02.4953115Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T09:55:02.4953478Z     --runners "${RUNNER_INFO}" \
2025-12-04T09:55:02.4953821Z     --dependencies "${DEPENDENCIES}" \
2025-12-04T09:55:02.4954160Z     --dry-run
2025-12-04T09:55:02.4954414Z else
2025-12-04T09:55:02.4954791Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T09:55:02.4955362Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T09:55:02.4955795Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T09:55:02.4956160Z     --runners "${RUNNER_INFO}" \
2025-12-04T09:55:02.4956500Z     --dependencies "${DEPENDENCIES}"
2025-12-04T09:55:02.4956922Z fi
2025-12-04T09:55:02.4962248Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:02.4962623Z env:
2025-12-04T09:55:02.4962844Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:02.4963119Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:02.4963567Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:02.4964079Z   DEVICE_NAME: 
2025-12-04T09:55:02.4964308Z   DEVICE_TYPE: 
2025-12-04T09:55:02.4964557Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-12-04T09:55:02.4964877Z   DRY_RUN: false
2025-12-04T09:55:02.4966228Z   BENCHMARK_METADATA: {"timestamp": 1764842102, "schema_version": "v3", "name": "linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19921726337, "run_attempt": 1, "job_id": 57112645056}
2025-12-04T09:55:02.4968125Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-11-123.ec2.internal"}, "name": "", "type": ""}]
2025-12-04T09:55:02.4968789Z   DEPENDENCIES: {}
2025-12-04T09:55:02.4969019Z ##[endgroup]
2025-12-04T09:55:02.4991771Z + [[ -n '' ]]
2025-12-04T09:55:02.4992036Z + [[ ! -d test/test-reports ]]
2025-12-04T09:55:02.4992336Z + [[ false == \t\r\u\e ]]
2025-12-04T09:55:02.4995185Z + 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": 1764842102, "schema_version": "v3", "name": "linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19921726337, "run_attempt": 1, "job_id": 57112645056}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-11-123.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-12-04T09:55:02.7002293Z /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': 'test_custom_ops'}, {'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': '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': 'doctests'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'test_content_store'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'dynamo/test_cudagraphs'}, {'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': 'dynamo/test_list'}, {'test_file': 'dynamo/test_resume'}, {'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': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'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': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_privateuseone_python_backend'}, {'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': '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': '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': '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': '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-0437054806a646fc3ddf.json is not a benchmark record, skipping
2025-12-04T09:55:02.7051455Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T09:55:02.7055536Z /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-3f5417171c02f60a8535.json is not a benchmark record, skipping
2025-12-04T09:55:02.7059435Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T09:55:02.7204408Z ##[group]Run cat test/**/*_toprint.log || true
2025-12-04T09:55:02.7204820Z cat test/**/*_toprint.log || true
2025-12-04T09:55:02.7210706Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:02.7211172Z env:
2025-12-04T09:55:02.7211409Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:02.7211689Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:02.7212142Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:02.7212672Z   DEVICE_NAME: 
2025-12-04T09:55:02.7212904Z   DEVICE_TYPE: 
2025-12-04T09:55:02.7213128Z ##[endgroup]
2025-12-04T09:55:02.7303256Z cat: 'test/**/*_toprint.log': No such file or directory
2025-12-04T09:55:02.7341090Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-12-04T09:55:02.7341471Z kill "$MONITOR_SCRIPT_PID"
2025-12-04T09:55:02.7346904Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:02.7347280Z env:
2025-12-04T09:55:02.7347504Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:02.7347782Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:02.7348230Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:02.7348753Z   DEVICE_NAME: 
2025-12-04T09:55:02.7348984Z   DEVICE_TYPE: 
2025-12-04T09:55:02.7349226Z   MONITOR_SCRIPT_PID: 43134
2025-12-04T09:55:02.7349485Z ##[endgroup]
2025-12-04T09:55:02.7373180Z /home/ec2-user/actions-runner/_work/_temp/7a2d280e-ef79-4258-9842-f4eb4fc628d6.sh: line 1: kill: (43134) - No such process
2025-12-04T09:55:02.7384284Z ##[error]Process completed with exit code 1.
2025-12-04T09:55:02.7556151Z Prepare all required actions
2025-12-04T09:55:02.7556577Z Getting action download info
2025-12-04T09:55:02.9377310Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T09:55:03.2228297Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-12-04T09:55:03.6785032Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-12-04T09:55:03.6785385Z with:
2025-12-04T09:55:03.6785704Z   file-suffix: test-dynamo_wrapped-1-3-linux.2xlarge_57112645056
2025-12-04T09:55:03.6786115Z   s3-bucket: gha-artifacts
2025-12-04T09:55:03.6786383Z env:
2025-12-04T09:55:03.6786579Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:03.6786839Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:03.6787286Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:03.6787848Z   DEVICE_NAME: 
2025-12-04T09:55:03.6788070Z   DEVICE_TYPE: 
2025-12-04T09:55:03.6788321Z ##[endgroup]
2025-12-04T09:55:03.6820227Z ##[group]Run # Remove any previous test jsons if they exist
2025-12-04T09:55:03.6820685Z # Remove any previous test jsons if they exist
2025-12-04T09:55:03.6821074Z rm -f test-jsons-*.zip
2025-12-04T09:55:03.6821512Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-12-04T09:55:03.6827422Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:03.6827795Z env:
2025-12-04T09:55:03.6828024Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:03.6828297Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:03.6828742Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:03.6829264Z   DEVICE_NAME: 
2025-12-04T09:55:03.6829492Z   DEVICE_TYPE: 
2025-12-04T09:55:03.6829816Z   FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57112645056
2025-12-04T09:55:03.6830318Z ##[endgroup]
2025-12-04T09:55:03.6983503Z   adding: test/test-reports/td_exclusions-0437054806a646fc3ddf.json (deflated 81%)
2025-12-04T09:55:03.7002211Z   adding: test/test-reports/python-pytest/test_torch/test_torch-be9ebccba61d5802.json (deflated 94%)
2025-12-04T09:55:03.7125853Z   adding: test/test-reports/python-pytest/test_utils/test_utils-277d1c03c7b039d9.json (deflated 99%)
2025-12-04T09:55:03.7131395Z   adding: test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-b008aead995d0837.json (deflated 92%)
2025-12-04T09:55:03.7149524Z   adding: test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-8bcdcacc3e9ce4e1.json (deflated 94%)
2025-12-04T09:55:03.7174747Z   adding: test/test-reports/python-pytest/test_nn/test_nn-30807ebf6bf8c2a0.json (deflated 96%)
2025-12-04T09:55:03.7176290Z   adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-52d148e2e9a1c6e6.json (deflated 91%)
2025-12-04T09:55:03.7209329Z   adding: test/test-reports/python-pytest/test_overrides/test_overrides-4e436d2e20643e1d.json (deflated 97%)
2025-12-04T09:55:03.7266358Z   adding: test/test-reports/python-pytest/test_reductions/test_reductions-c29cb62fa90ba141.json (deflated 98%)
2025-12-04T09:55:03.7267484Z   adding: test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-7b16f578b7bde196.json (deflated 71%)
2025-12-04T09:55:03.7289496Z   adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-0cbbc6cb6aff2c82.json (deflated 98%)
2025-12-04T09:55:03.7291007Z   adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-f43fa5a89b0d92c7.json (deflated 89%)
2025-12-04T09:55:03.7291997Z   adding: test/test-reports/python-pytest/test_autocast/test_autocast-b4ea2df3ca0bf7f7.json (deflated 91%)
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2025-12-04T09:55:03.7459385Z ##[group]Run # Remove any previous test reports if they exist
2025-12-04T09:55:03.7459863Z # Remove any previous test reports if they exist
2025-12-04T09:55:03.7460269Z rm -f test-reports-*.zip
2025-12-04T09:55:03.7460769Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-12-04T09:55:03.7466562Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:03.7466937Z env:
2025-12-04T09:55:03.7467164Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:03.7467442Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:03.7467890Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:03.7468416Z   DEVICE_NAME: 
2025-12-04T09:55:03.7468651Z   DEVICE_TYPE: 
2025-12-04T09:55:03.7468978Z   FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57112645056
2025-12-04T09:55:03.7469386Z ##[endgroup]
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2025-12-04T09:55:03.7976213Z ##[group]Run # Remove any previous usage logs if they exist
2025-12-04T09:55:03.7976674Z # Remove any previous usage logs if they exist
2025-12-04T09:55:03.7977112Z rm -f logs-*.zip
2025-12-04T09:55:03.7977479Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-12-04T09:55:03.7978002Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-12-04T09:55:03.7984628Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:03.7985020Z env:
2025-12-04T09:55:03.7985244Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:03.7985510Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:03.7985975Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:03.7986487Z   DEVICE_NAME: 
2025-12-04T09:55:03.7986709Z   DEVICE_TYPE: 
2025-12-04T09:55:03.7987046Z   FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57112645056
2025-12-04T09:55:03.7987458Z ##[endgroup]
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2025-12-04T09:55:03.8650841Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-12-04T09:55:03.8651412Z # Remove any previous debugging artifacts if they exist
2025-12-04T09:55:03.8651831Z rm -f debug-*.zip
2025-12-04T09:55:03.8652129Z if [ -d 'test/debug' ]; then
2025-12-04T09:55:03.8652479Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-12-04T09:55:03.8652911Z fi
2025-12-04T09:55:03.8658697Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:03.8659067Z env:
2025-12-04T09:55:03.8659296Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:03.8659575Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:03.8660023Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:03.8660542Z   DEVICE_NAME: 
2025-12-04T09:55:03.8660772Z   DEVICE_TYPE: 
2025-12-04T09:55:03.8661109Z   FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57112645056
2025-12-04T09:55:03.8661505Z ##[endgroup]
2025-12-04T09:55:03.8773457Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:55:03.8774031Z with:
2025-12-04T09:55:03.8774435Z   s3-bucket: gha-artifacts
2025-12-04T09:55:03.8775005Z   s3-prefix: pytorch/pytorch/19921726337/1/artifact

2025-12-04T09:55:03.8775631Z   retention-days: 14
2025-12-04T09:55:03.8776009Z   if-no-files-found: warn
2025-12-04T09:55:03.8776474Z   path: test-jsons-*.zip
2025-12-04T09:55:03.8776911Z   name: artifact
2025-12-04T09:55:03.8777316Z   region: us-east-1
2025-12-04T09:55:03.8777719Z env:
2025-12-04T09:55:03.8778092Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:03.8778535Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:03.8779364Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:03.8780549Z   DEVICE_NAME: 
2025-12-04T09:55:03.8780931Z   DEVICE_TYPE: 
2025-12-04T09:55:03.8781336Z ##[endgroup]
2025-12-04T09:55:04.3940441Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T09:55:04.3940934Z With the provided path, there will be 1 file uploaded
2025-12-04T09:55:04.3941386Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact
2025-12-04T09:55:04.4017186Z Starting upload of test-jsons-test-dynamo_wrapped-1-3-linux.2xlarge_57112645056.zip
2025-12-04T09:55:04.5267440Z Finished upload of test-jsons-test-dynamo_wrapped-1-3-linux.2xlarge_57112645056.zip
2025-12-04T09:55:04.5452736Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:55:04.5453078Z with:
2025-12-04T09:55:04.5453332Z   s3-bucket: gha-artifacts
2025-12-04T09:55:04.5453663Z   s3-prefix: pytorch/pytorch/19921726337/1/artifact

2025-12-04T09:55:04.5454023Z   retention-days: 14
2025-12-04T09:55:04.5454269Z   if-no-files-found: error
2025-12-04T09:55:04.5454553Z   path: test-reports-*.zip
2025-12-04T09:55:04.5454818Z   name: artifact
2025-12-04T09:55:04.5455039Z   region: us-east-1
2025-12-04T09:55:04.5455271Z env:
2025-12-04T09:55:04.5455484Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:04.5455741Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:04.5456200Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:04.5456718Z   DEVICE_NAME: 
2025-12-04T09:55:04.5456933Z   DEVICE_TYPE: 
2025-12-04T09:55:04.5457156Z ##[endgroup]
2025-12-04T09:55:04.8706828Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T09:55:04.8707317Z With the provided path, there will be 1 file uploaded
2025-12-04T09:55:04.8707792Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact
2025-12-04T09:55:04.8755703Z Starting upload of test-reports-test-dynamo_wrapped-1-3-linux.2xlarge_57112645056.zip
2025-12-04T09:55:05.0367586Z Finished upload of test-reports-test-dynamo_wrapped-1-3-linux.2xlarge_57112645056.zip
2025-12-04T09:55:05.0551441Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:55:05.0551784Z with:
2025-12-04T09:55:05.0552021Z   s3-bucket: gha-artifacts
2025-12-04T09:55:05.0552355Z   s3-prefix: pytorch/pytorch/19921726337/1/artifact

2025-12-04T09:55:05.0552715Z   retention-days: 14
2025-12-04T09:55:05.0552966Z   if-no-files-found: ignore
2025-12-04T09:55:05.0553242Z   path: logs-*.zip
2025-12-04T09:55:05.0553493Z   name: artifact
2025-12-04T09:55:05.0553717Z   region: us-east-1
2025-12-04T09:55:05.0553951Z env:
2025-12-04T09:55:05.0554170Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:05.0554433Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:05.0554895Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:05.0555508Z   DEVICE_NAME: 
2025-12-04T09:55:05.0555736Z   DEVICE_TYPE: 
2025-12-04T09:55:05.0555965Z ##[endgroup]
2025-12-04T09:55:05.3892861Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T09:55:05.3893419Z With the provided path, there will be 1 file uploaded
2025-12-04T09:55:05.3893890Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact
2025-12-04T09:55:05.3940484Z Starting upload of logs-test-dynamo_wrapped-1-3-linux.2xlarge_57112645056.zip
2025-12-04T09:55:05.5439518Z Finished upload of logs-test-dynamo_wrapped-1-3-linux.2xlarge_57112645056.zip
2025-12-04T09:55:05.5641366Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:55:05.5641986Z with:
2025-12-04T09:55:05.5642366Z   s3-bucket: gha-artifacts
2025-12-04T09:55:05.5642949Z   s3-prefix: pytorch/pytorch/19921726337/1/artifact

2025-12-04T09:55:05.5643599Z   retention-days: 14
2025-12-04T09:55:05.5644003Z   if-no-files-found: ignore
2025-12-04T09:55:05.5644488Z   path: debug-*.zip
2025-12-04T09:55:05.5644913Z   name: artifact
2025-12-04T09:55:05.5645289Z   region: us-east-1
2025-12-04T09:55:05.5645675Z env:
2025-12-04T09:55:05.5646065Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:05.5646542Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:05.5647351Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:05.5648287Z   DEVICE_NAME: 
2025-12-04T09:55:05.5648671Z   DEVICE_TYPE: 
2025-12-04T09:55:05.5649058Z ##[endgroup]
2025-12-04T09:55:05.8835466Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-12-04T09:55:05.9021210Z ##[group]Run # shellcheck disable=SC2156
2025-12-04T09:55:05.9021608Z # shellcheck disable=SC2156
2025-12-04T09:55:05.9022294Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-12-04T09:55:05.9028378Z shell: /usr/bin/bash -e {0}
2025-12-04T09:55:05.9028666Z env:
2025-12-04T09:55:05.9028888Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:05.9029151Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:05.9029617Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:05.9030228Z   DEVICE_NAME: 
2025-12-04T09:55:05.9030459Z   DEVICE_TYPE: 
2025-12-04T09:55:05.9030672Z ##[endgroup]
2025-12-04T09:55:06.2274343Z Prepare all required actions
2025-12-04T09:55:06.2274785Z Getting action download info
2025-12-04T09:55:06.3936092Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548)
2025-12-04T09:55:06.7973190Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-12-04T09:55:06.7973581Z with:
2025-12-04T09:55:06.7973801Z   job_id: 57112645056
2025-12-04T09:55:06.7974222Z   job_name: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)
2025-12-04T09:55:06.7974711Z   workflow_name: pull
2025-12-04T09:55:06.7974962Z   workflow_run_id: 19921726337
2025-12-04T09:55:06.7975252Z   workflow_attempt: 1
2025-12-04T09:55:06.7975503Z env:
2025-12-04T09:55:06.7975712Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:06.7975987Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:06.7976451Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:06.7976950Z   DEVICE_NAME: 
2025-12-04T09:55:06.7977225Z   DEVICE_TYPE: 
2025-12-04T09:55:06.7977439Z ##[endgroup]
2025-12-04T09:55:06.8023430Z ##[group]Run actions/setup-python@v6
2025-12-04T09:55:06.8023751Z with:
2025-12-04T09:55:06.8023961Z   python-version: 3.10
2025-12-04T09:55:06.8024228Z   check-latest: false
2025-12-04T09:55:06.8024581Z   token: ***
2025-12-04T09:55:06.8024806Z   update-environment: true
2025-12-04T09:55:06.8025104Z   allow-prereleases: false
2025-12-04T09:55:06.8025383Z   freethreaded: false
2025-12-04T09:55:06.8025619Z env:
2025-12-04T09:55:06.8025822Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:06.8026092Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:06.8026549Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:06.8027144Z   DEVICE_NAME: 
2025-12-04T09:55:06.8027381Z   DEVICE_TYPE: 
2025-12-04T09:55:06.8027607Z ##[endgroup]
2025-12-04T09:55:07.2720343Z ##[group]Installed versions
2025-12-04T09:55:07.2729597Z Version 3.10 was not found in the local cache
2025-12-04T09:55:07.3004568Z (node:56798) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T09:55:07.3005698Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T09:55:07.6615705Z ##[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
2025-12-04T09:55:07.6789932Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-12-04T09:55:07.6790485Z with:
2025-12-04T09:55:07.6790679Z env:
2025-12-04T09:55:07.6790909Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:07.6791185Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:07.6791633Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:07.6792150Z   DEVICE_NAME: 
2025-12-04T09:55:07.6792380Z   DEVICE_TYPE: 
2025-12-04T09:55:07.6792590Z ##[endgroup]
2025-12-04T09:55:07.6816679Z ##[group]Run set -eou pipefail
2025-12-04T09:55:07.6817005Z set -eou pipefail
2025-12-04T09:55:07.6817283Z 
2025-12-04T09:55:07.6817660Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-12-04T09:55:07.6818142Z for _ in $(seq 1440); do
2025-12-04T09:55:07.6818469Z     # Break if no ssh session exists anymore
2025-12-04T09:55:07.6818924Z     if [ "$(who)" = "" ]; then
2025-12-04T09:55:07.6819262Z       break
2025-12-04T09:55:07.6819505Z     fi
2025-12-04T09:55:07.6819736Z     echo "."
2025-12-04T09:55:07.6819986Z     sleep 5
2025-12-04T09:55:07.6820211Z done
2025-12-04T09:55:07.6826240Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:07.6826633Z env:
2025-12-04T09:55:07.6826838Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:07.6827111Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:07.6827569Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:07.6828070Z   DEVICE_NAME: 
2025-12-04T09:55:07.6828297Z   DEVICE_TYPE: 
2025-12-04T09:55:07.6828523Z ##[endgroup]
2025-12-04T09:55:07.6852639Z Holding runner for 2 hours until all ssh sessions have logged out
2025-12-04T09:55:07.6931736Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:55:07.6932310Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:55:07.6932802Z # shellcheck disable=SC2046
2025-12-04T09:55:07.6933176Z docker stop $(docker ps -q) || true
2025-12-04T09:55:07.6933546Z # Prune all of the docker images
2025-12-04T09:55:07.6933869Z docker system prune -af
2025-12-04T09:55:07.6939386Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:07.6939775Z env:
2025-12-04T09:55:07.6939985Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:55:07.6940263Z   HAS_NVIDIA_GPU: false
2025-12-04T09:55:07.6940725Z   DOCKER_CONTAINER_ID: 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:07.6941228Z   DEVICE_NAME: 
2025-12-04T09:55:07.6941463Z   DEVICE_TYPE: 
2025-12-04T09:55:07.6941694Z ##[endgroup]
2025-12-04T09:55:18.6121703Z 95e7a813e39d
2025-12-04T09:55:19.2746227Z Deleted Containers:
2025-12-04T09:55:19.2746748Z 95e7a813e39d33b5cbc2bb1d27267eb048909f76b0c16794a47e3babeeffc101
2025-12-04T09:55:19.2747122Z 
2025-12-04T09:55:24.6520221Z Deleted Images:
2025-12-04T09:55:24.6521585Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:55:24.6523095Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:44d91ac3fb28148b815d1cceb9cd39141de00f73eeb8e8813204519b10fe3c21
2025-12-04T09:55:24.6524044Z deleted: sha256:69f02fcb9ffc1a94e0c51f7917aedd922212debbe0601e2ef7c572ae8f5526ce
2025-12-04T09:55:24.6524731Z deleted: sha256:a97b09ba8a7a97526acd42859be8aba71674ac741e9004491f4df23c7f2495b8
2025-12-04T09:55:24.6525391Z deleted: sha256:14d1bb781184866e16fe1e0be8f698d27ef21e73928f725174baa75941a74723
2025-12-04T09:55:24.6526054Z deleted: sha256:49d130edda43a5460d82a233be2d8bcb71e8936b4a132d258b2675b27bb40e28
2025-12-04T09:55:24.6526698Z deleted: sha256:b11839cbc54d605298628cf2c3d9e858052cb958652d04e6d3a02e621fa10153
2025-12-04T09:55:24.6527351Z deleted: sha256:30d193a8ab8619f5f1d43e2b12d143e289f57249fc33273448997a7dd21e9a18
2025-12-04T09:55:24.6528168Z deleted: sha256:8beb19621bbd0c5d7af822eb67c1e310457dcbe92d139fbbcc757cc1a67f820b
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2025-12-04T09:55:24.6533451Z deleted: sha256:16eef7252ad9e335c39d3ca789179d5bfb8aa87699df07854b0c9021b46044dc
2025-12-04T09:55:24.6534159Z deleted: sha256:bc1d5e40f684560f0e288f6912b24d8f402700a81504fbd31e91ddd15bdc36ff
2025-12-04T09:55:24.6534821Z deleted: sha256:3585f12f3d5d7edde11681db067e1162fccd51cb7b1f58a6f114a3d1ed3e0269
2025-12-04T09:55:24.6535492Z deleted: sha256:908393f666e8b6beb1afa003f40dbbf114faf5e1f42883b85c9f7744bd946421
2025-12-04T09:55:24.6536136Z deleted: sha256:83c3cd167299ac90f1698d365dd406b64348656c3c23be0ef55d62802f1488a2
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2025-12-04T09:55:24.6538089Z deleted: sha256:33f1ea475b3e628f439938054da8c61c90010074fed6e876f0b98745fffee5dc
2025-12-04T09:55:24.6538725Z deleted: sha256:178055042cec45f453d849aa265866fca0346a3013ea6830c7ce06cb416392ea
2025-12-04T09:55:24.6539377Z deleted: sha256:b1e692e568a9687f36483c7aae6b2d7ed6e20674d024d77536b62e6fc856c53f
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2025-12-04T09:55:24.6545953Z deleted: sha256:a7b02c7115e3cc818e57946972a7d4fe1e96ffa489512f870abe494ecccb2180
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2025-12-04T09:55:24.6768550Z Post job cleanup.
2025-12-04T09:55:24.6816845Z Post job cleanup.
2025-12-04T09:55:24.8234590Z (node:56955) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T09:55:24.8235419Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T09:55:24.8414988Z Post job cleanup.
2025-12-04T09:55:24.8487505Z Post job cleanup.
2025-12-04T09:55:24.9568980Z [command]/usr/bin/git version
2025-12-04T09:55:24.9821259Z git version 2.50.1
2025-12-04T09:55:24.9856603Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/e914753d-176e-4fdc-acb0-6b2a011760b0/.gitconfig'
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2025-12-04T09:55:24.9866716Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T09:55:24.9870305Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:55:24.9914723Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
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2025-12-04T09:55:25.5111948Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-12-04T09:55:26.1424124Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:55:26.2546378Z 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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2025-12-04T09:55:26.2595657Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
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2025-12-04T09:55:26.2637535Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-12-04T09:55:26.2662636Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:55:26.2687069Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-12-04T09:55:26.2703283Z Entering 'third_party/fbgemm/external/hipify_torch'
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2025-12-04T09:55:26.2852766Z 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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2025-12-04T09:55:26.2903630Z 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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2025-12-04T09:55:26.2953134Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
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2025-12-04T09:55:26.3083545Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
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2025-12-04T09:55:26.3168233Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-12-04T09:55:26.3183836Z Entering 'third_party/ideep/mkl-dnn'
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2025-12-04T09:55:26.3256743Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-12-04T09:55:26.3273067Z Entering 'third_party/kineto'
2025-12-04T09:55:26.3298992Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-12-04T09:55:26.3314799Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:55:26.3339549Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
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2025-12-04T09:55:26.3402999Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-12-04T09:55:26.3443129Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
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2025-12-04T09:55:26.6231727Z [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/fmt/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:55:26.6261786Z [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:
2025-12-04T09:55:26.6290116Z [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:
2025-12-04T09:55:26.6320584Z [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:
2025-12-04T09:55:26.6343845Z [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/googletest/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:55:26.6365881Z [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/json/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:55:26.6388379Z [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:
2025-12-04T09:55:26.6410578Z [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/prometheus-cpp/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:55:26.6433010Z [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/prometheus-cpp/modules/civetweb/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:55:26.6455937Z [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/prometheus-cpp/modules/googletest/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:55:26.6479066Z [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:
2025-12-04T09:55:26.6501246Z [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:
2025-12-04T09:55:26.6523812Z [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:
2025-12-04T09:55:26.6545615Z [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:
2025-12-04T09:55:26.6567551Z [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:
2025-12-04T09:55:26.6590369Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:55:26.6635047Z [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:
2025-12-04T09:55:26.6657133Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:55:26.6774534Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:55:26.6829070Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:55:26.6878253Z [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:
2025-12-04T09:55:26.6902370Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:55:26.6926815Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:55:26.6977779Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:55:26.7002219Z [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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2025-12-04T09:55:26.7051549Z [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:
2025-12-04T09:55:26.7074076Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:55:26.7119087Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:55:26.7189914Z [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:
2025-12-04T09:55:26.7212859Z [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:
2025-12-04T09:55:26.7236207Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:55:26.7338603Z A job completed hook has been configured by the self-hosted runner administrator
2025-12-04T09:55:26.7365948Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-12-04T09:55:26.7371326Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:55:26.7371723Z ##[endgroup]
2025-12-04T09:55:35.9192412Z Cleaning up orphan processes